#Swiss Chatbot

[nevolvisch]

KI-Unterstützung, die niemals schläft – nevBot

Lernen Sie nevBot kennen, Ihren KI-gestützten Assistenten, der rund um die Uhr verfügbar ist. Ob es um die Beantwortung von Fragen, die Bereitstellung von Lösungen oder die Bearbeitung von Aufgaben geht, dieser AI Chatbot macht nie eine Pause. NevBot wurde entwickelt, um Sie jederzeit und überall zu unterstützen. Es stellt sicher, dass Ihre Produktivität ununterbrochen bleibt, und bietet intelligenten Support, der sich an Ihre Bedürfnisse anpasst.

[mostlysignssomeportents]

Google is (still) losing the spam wars to zombie news-brands

I'm touring my new, nationally bestselling novel The Bezzle! Catch me TONIGHT (May 3) in CALGARY, then TOMORROW (May 4) in VANCOUVER, then onto Tartu, Estonia, and beyond!

Even Google admits – grudgingly – that it is losing the spam wars. The explosive proliferation of botshit has supercharged the sleazy "search engine optimization" business, such that results to common queries are 50% Google ads to spam sites, and 50% links to spam sites that tricked Google into a high rank (without paying for an ad):

https://developers.google.com/search/blog/2024/03/core-update-spam-policies#site-reputation

It's nice that Google has finally stopped gaslighting the rest of us with claims that its search was still the same bedrock utility that so many of us relied upon as a key piece of internet infrastructure. This not only feels wildly wrong, it is empirically, provably false:

https://downloads.webis.de/publications/papers/bevendorff_2024a.pdf

Not only that, but we know why Google search sucks. Memos released as part of the DOJ's antitrust case against Google reveal that the company deliberately chose to worsen search quality to increase the number of queries you'd have to make (and the number of ads you'd have to see) to find a decent result:

https://pluralistic.net/2024/04/24/naming-names/#prabhakar-raghavan

Google's antitrust case turns on the idea that the company bought its way to dominance, spending the some of the billions it extracted from advertisers and publishers to buy the default position on every platform, so that no one ever tried another search engine, which meant that no one would invest in another search engine, either.

Google's tacit defense is that its monopoly billions only incidentally fund these kind of anticompetitive deals. Mostly, Google says, it uses its billions to build the greatest search engine, ad platform, mobile OS, etc that the public could dream of. Only a company as big as Google (says Google) can afford to fund the R&D and security to keep its platform useful for the rest of us.

That's the "monopolistic bargain" – let the monopolist become a dictator, and they will be a benevolent dictator. Shriven of "wasteful competition," the monopolist can split their profits with the public by funding public goods and the public interest.

Google has clearly reneged on that bargain. A company experiencing the dramatic security failures and declining quality should be pouring everything it has to righting the ship. Instead, Google repeatedly blew tens of billions of dollars on stock buybacks while doing mass layoffs:

https://pluralistic.net/2024/02/21/im-feeling-unlucky/#not-up-to-the-task

Those layoffs have now reached the company's "core" teams, even as its core services continue to decay:

https://qz.com/google-is-laying-off-hundreds-as-it-moves-core-jobs-abr-1851449528

(Google's antitrust trial was shrouded in secrecy, thanks to the judge's deference to the company's insistence on confidentiality. The case is moving along though, and warrants your continued attention:)

https://www.thebignewsletter.com/p/the-2-trillion-secret-trial-against

Google wormed its way into so many corners of our lives that its enshittification keeps erupting in odd places, like ordering takeout food:

https://pluralistic.net/2023/02/24/passive-income/#swiss-cheese-security

Back in February, Housefresh – a rigorous review site for home air purifiers – published a viral, damning account of how Google had allowed itself to be overrun by spammers who purport to provide reviews of air purifiers, but who do little to no testing and often employ AI chatbots to write automated garbage:

https://housefresh.com/david-vs-digital-goliaths/

In the months since, Housefresh's Gisele Navarro has continued to fight for the survival of her high-quality air purifier review site, and has received many tips from insiders at the spam-farms and Google, all of which she recounts in a followup essay:

https://housefresh.com/how-google-decimated-housefresh/

One of the worst offenders in spam wars is Dotdash Meredith, a content-farm that "publishes" multiple websites that recycle parts of each others' content in order to climb to the top search slots for lucrative product review spots, which can be monetized via affiliate links.

A Dotdash Meredith insider told Navarro that the company uses a tactic called "keyword swarming" to push high-quality independent sites off the top of Google and replace them with its own garbage reviews. When Dotdash Meredith finds an independent site that occupies the top results for a lucrative Google result, they "swarm a smaller site’s foothold on one or two articles by essentially publishing 10 articles [on the topic] and beefing up [Dotdash Meredith sites’] authority."

Dotdash Meredith has keyword swarmed a large number of topics. from air purifiers to slow cookers to posture correctors for back-pain:

https://housefresh.com/wp-content/uploads/2024/05/keyword-swarming-dotdash.jpg

The company isn't shy about this. Its own shareholder communications boast about it. What's more, it has competition.

Take Forbes, an actual news-site, which has a whole shadow-empire of web-pages reviewing products for puppies, dogs, kittens and cats, all of which link to high affiliate-fee-generating pet insurance products. These reviews are not good, but they are treasured by Google's algorithm, which views them as a part of Forbes's legitimate news-publishing operation and lets them draft on Forbes's authority.

This side-hustle for Forbes comes at a cost for the rest of us, though. The reviewers who actually put in the hard work to figure out which pet products are worth your money (and which ones are bad, defective or dangerous) are crowded off the front page of Google and eventually disappear, leaving behind nothing but semi-automated SEO garbage from Forbes:

https://twitter.com/ichbinGisele/status/1642481590524583936

There's a name for this: "site reputation abuse." That's when a site perverts its current – or past – practice of publishing high-quality materials to trick Google into giving the site a high ranking. Think of how Deadspin's private equity grifter owners turned it into a site full of casino affiliate spam:

https://www.404media.co/who-owns-deadspin-now-lineup-publishing/

The same thing happened to the venerable Money magazine:

https://moneygroup.pr/

Money is one of the many sites whose air purifier reviews Google gives preference to, despite the fact that they do no testing. According to Google, Money is also a reliable source of information on reprogramming your garage-door opener, buying a paint-sprayer, etc:

https://money.com/best-paint-sprayer/

All of this is made ten million times worse by AI, which can spray out superficially plausible botshit in superhuman quantities, letting spammers produce thousands of variations on their shitty reviews, flooding the zone with bullshit in classic Steve Bannon style:

https://escapecollective.com/commerce-content-is-breaking-product-reviews/

As Gizmodo, Sports Illustrated and USA Today have learned the hard way, AI can't write factual news pieces. But it can pump out bullshit written for the express purpose of drafting on the good work human journalists have done and tricking Google – the search engine 90% of us rely on – into upranking bullshit at the expense of high-quality information.

A variety of AI service bureaux have popped up to provide AI botshit as a service to news brands. While Navarro doesn't say so, I'm willing to bet that for news bosses, outsourcing your botshit scams to a third party is considered an excellent way of avoiding your journalists' wrath. The biggest botshit-as-a-service company is ASR Group (which also uses the alias Advon Commerce).

Advon claims that its botshit is, in fact, written by humans. But Advon's employees' Linkedin profiles tell a different story, boasting of their mastery of AI tools in the industrial-scale production of botshit:

https://housefresh.com/wp-content/uploads/2024/05/Advon-AI-LinkedIn.jpg

Now, none of this is particularly sophisticated. It doesn't take much discernment to spot when a site is engaged in "site reputation abuse." Presumably, the 12,000 googlers the company fired last year could have been employed to check the top review keyword results manually every couple of days and permaban any site caught cheating this way.

Instead, Google is has announced a change in policy: starting May 5, the company will downrank any site caught engaged in site reputation abuse. However, the company takes a very narrow view of site reputation abuse, limiting punishments to sites that employ third parties to generate or uprank their botshit. Companies that produce their botshit in-house are seemingly not covered by this policy.

As Navarro writes, some sites – like Forbes – have prepared for May 5 by blocking their botshit sections from Google's crawler. This can't be their permanent strategy, though – either they'll have to kill the section or bring it in-house to comply with Google's rules. Bringing things in house isn't that hard: US News and World Report is advertising for an SEO editor who will publish 70-80 posts per month, doubtless each one a masterpiece of high-quality, carefully researched material of great value to Google's users:

https://twitter.com/dannyashton/status/1777408051357585425

As Navarro points out, Google is palpably reluctant to target the largest, best-funded spammers. Its March 2024 update kicked many garbage AI sites out of the index – but only small bottom-feeders, not large, once-respected publications that have been colonized by private equity spam-farmers.

All of this comes at a price, and it's only incidentally paid by legitimate sites like Housefresh. The real price is borne by all of us, who are funneled by the 90%-market-share search engine into "review" sites that push low quality, high-price products. Housefresh's top budget air purifier costs $79. That's hundreds of dollars cheaper than the "budget" pick at other sites, who largely perform no original research.

Google search has a problem. AI botshit is dominating Google's search results, and it's not just in product reviews. Searches for infrastructure code samples are dominated by botshit code generated by Pulumi AI, whose chatbot hallucinates nonexistence AWS features:

https://www.theregister.com/2024/05/01/pulumi_ai_pollution_of_search/

This is hugely consequential: when these "hallucinations" slip through into production code, they create huge vulnerabilities for widespread malicious exploitation:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

We've put all our eggs in Google's basket, and Google's dropped the basket – but it doesn't matter because they can spend $20b/year bribing Apple to make sure no one ever tries a rival search engine on Ios or Safari:

https://finance.yahoo.com/news/google-payments-apple-reached-20-220947331.html

Google's response – laying off core developers, outsourcing to low-waged territories with weak labor protections and spending billions on stock buybacks – presents a picture of a company that is too big to care:

https://pluralistic.net/2024/04/04/teach-me-how-to-shruggie/#kagi

Google promised us a quid-pro-quo: let them be the single, authoritative portal ("organize the world’s information and make it universally accessible and useful"), and they will earn that spot by being the best search there is:

https://www.ft.com/content/b9eb3180-2a6e-41eb-91fe-2ab5942d4150

But – like the spammers at the top of its search result pages – Google didn't earn its spot at the center of our digital lives.

It cheated.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/05/03/keyword-swarming/#site-reputation-abuse

Image: freezelight (modified) https://commons.wikimedia.org/wiki/File:Spam_wall_-_Flickr_-_freezelight.jpg

CC BY-SA 2.0 https://creativecommons.org/licenses/by-sa/2.0/deed.en

[reasonsforhope]

When Swiss cardiologist Thomas F. Lüscher attended an international symposium in Turin, Italy, last summer, he encountered an unusual “attendee:” Suzanne, Chat GPT’s medical “assistant.” Suzanne’s developers were eager to demonstrate to the specialists how well their medical chatbot worked, and they asked the cardiologists to test her. 

An Italian cardiology professor told the chatbot about the case of a 27-year-old patient who was taken to his clinic in unstable condition. The patient had a massive fever and drastically increased inflammation markers. Without hesitation, Suzanne diagnosed adult-onset Still’s disease. “I almost fell off my chair because she was right,” Lüscher remembers. “This is a very rare autoinflammatory disease that even seasoned cardiologists don’t always consider.”

Lüscher — director of research, education and development and consultant cardiologist at the Royal Brompton & Harefield Hospital Trust and Imperial College London and director of the Center for Molecular Cardiology at the University of Zürich, Switzerland — is convinced that artificial intelligence is making cardiovascular medicine more accurate and effective. “AI is not only the future, but it is already here,” he says. “AI and machine learning are particularly accurate in image analysis, and imaging plays an outsize role in cardiology. AI is able to see what we don’t see. That’s impressive.” 

At the Royal Brompton Hospital in London, for instance, his team relies on AI to calculate the volume of heart chambers in MRIs, an indication of heart health. “If you calculate this manually, you need about half an hour,” Lüscher says. “AI does it in a second.” 

AI-Assisted Medicine

Few patients are aware of how significantly AI is already determining their health care. The Washington Post tracks the start of the boom of artificial intelligence in health care to 2018. That’s when the Food and Drug Administration approved the IDx-DR, the first independent AI-based diagnostic tool, which is used to screen for diabetic retinopathy. Today, according to the Post, the FDA has approved nearly 700 artificial intelligence and machine learning-enabled medical devices.

The Mayo Clinic in Rochester, Minnesota, is considered the worldwide leader in implementing AI for cardiovascular care, not least because it can train its algorithms with the (anonymized) data of more than seven million electrocardiograms (ECG). “Every time a patient undergoes an ECG, various algorithms that are based on AI show us on the screen which diagnoses to consider and which further tests are recommended,” says Francisco Lopez-Jimenez, director of the Mayo Clinic’s Cardiovascular Health Clinic. “The AI takes into account all the factors known about the patient, whether his potassium is high, etc. For example, we have an AI-based program that calculates the biological age of a person. If the person in front of me is [calculated to have a biological age] 10 years older than his birth age, I can probe further. Are there stressors that burden him?”

Examples where AI makes a sizable difference at the Mayo Clinic include screening ECGs to detect specific heart diseases, such as ventricular dysfunction or atrial fibrillation, earlier and more reliably than the human eye. These conditions are best treated early, but without AI, the symptoms are largely invisible in ECGs until later, when they have already progressed further...

Antioniades’ team at the University of Oxford’s Radcliffe Department of Medicine analyzed data from over 250,000 patients who underwent cardiac CT scans in eight British hospitals. “Eighty-two percent of the patients who presented with chest pain had CT scans that came back as completely normal and were sent home because doctors saw no indication for a heart disease,” Antioniades says. “Yet two-thirds of them had an increased risk to suffer a heart attack within the next 10 years.” In a world-first pilot, his team developed an AI tool that detects inflammatory changes in the fatty tissues surrounding the arteries. These changes are not visible to the human eye. But after training on thousands of CT scans, AI learned to detect them and predict the risk of heart attacks. “We had a phase where specialists read the scans and we compared their diagnosis with the AI’s,” Antioniades explains. “AI was always right.” These results led to doctors changing the treatment plans for hundreds of patients. “The key is that we can treat the inflammatory changes early and prevent heart attacks,” according to Antioniades. 

The British National Health Service (NHS) has approved the AI tool, and it is now used in five public hospitals. “We hope that it will soon be used everywhere because it can help prevent thousands of heart attacks every year,” Antioniades says. A startup at Oxford University offers a service that enables other clinics to send their CT scans in for analysis with Oxford’s AI tool.

Similarly, physician-scientists at the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at Cedars-Sinai Medical Center in Los Angeles use AI to analyze echograms. They created an algorithm that can effectively identify and distinguish between two life-threatening heart conditions that are easy to overlook: hypertrophic cardiomyopathy and cardiac amyloidosis. “These two heart conditions are challenging for even expert cardiologists to accurately identify, and so patients often go on for years to decades before receiving a correct diagnosis,” David Ouyang, cardiologist at the Smidt Heart Institute, said in a press release. “This is a machine-beats-man situation. AI makes the sonographer work faster and more efficiently, and it doesn’t change the patient experience. It’s a triple win.”

Current Issues with AI Medicine

However, using artificial intelligence in clinical settings has disadvantages, too. “Suzanne has no empathy,” Lüscher says about his experience with Chat GPT. “Her responses have to be verified by a doctor. She even says that after every diagnosis, and has to, for legal reasons.”

Also, an algorithm is only as accurate as the information with which it was trained. Lüscher and his team cured an AI tool of a massive deficit: Women’s risk for heart attacks wasn’t reliably evaluated because the AI had mainly been fed with data from male patients. “For women, heart attacks are more often fatal than for men,” Lüscher says. “Women also usually come to the clinic later. All these factors have implications.” Therefore, his team developed a more realistic AI prognosis that improves the treatment of female patients. “We adapted it with machine learning and it now works for women and men,” Lüscher explains. “You have to make sure the cohorts are large enough and have been evaluated independently so that the algorithms work for different groups of patients and in different countries.” His team made the improved algorithm available online so other hospitals can use it too...

[Lopez-Jimenez at the Mayo Clinic] tells his colleagues and patients that the reliability of AI tools currently lies at 75 to 93 percent, depending on the specific diagnosis. “Compare that with a mammogram that detects breast tumors with an accuracy of 85 percent,” Lopez-Jimenez says. “But because it’s AI, people expect 100 percent. That simply does not exist in medicine.”

And of course, another challenge is that few people have the resources and good fortune to become patients at the world’s most renowned clinics with state-of-the-art technology.

What Comes Next

“One of my main goals is to make this technology available to millions,” Lopez-Jimenez says. He mentions that Mayo is trying out high-tech stethoscopes to interpret heart signals with AI. “The idea is that a doctor in the Global South can use it to diagnose cardiac insufficiency,” Lopez-Jimenez explains. “It is already being tested in Nigeria, the country with the highest rate of genetic cardiac insufficiency in Africa. The results are impressively accurate.” 

The Mayo Clinic is also working with doctors in Brazil to diagnose Chagas disease with the help of AI reliably and early. “New technology is always more expensive at the beginning,” Lopez-Jimenez cautions, “but in a few years, AI will be everywhere and it will make diagnostics cheaper and more accurate.”

And the Children’s National Hospital in Washington developed a portable AI device that is currently being tested to screen children in Uganda for rheumatic heart disease, which kills about 400,000 people a year worldwide. The new tool reportedly has an accuracy of 90 percent. 

Both Lopez-Jimenez and Lüscher are confident that AI tools will continue to improve. “One advantage is that a computer can analyze images at 6 a.m. just as systematically as after midnight,” Lüscher points out. “A computer doesn’t get tired or have a bad day, whereas sometimes radiologists overlook significant symptoms. AI learns something and never forgets it.”

-via Reasons to Be Cheerful, March 1, 2024. Headers added by me.

--

Note:

Okay, so I'm definitely not saying that everything with AI medicine will go right, and there won't be any major issues. That's definitely not the case (the article talks about some of those issues). But regulation around medicines is generally pretty tight, and

And if it goes right, this could be HUGE for disabled people, chronically ill people, and people with any of the unfortunately many marginalizations that make doctors less likely to listen.

This could shave years off of the time it takes people to get the right diagnosis. It could get answers for so many people struggling with unknown diseases and chronic illness. If we compensate correctly, it could significantly reduce the role of bias in medicine. It could also make testing so much faster.

(There's a bunch of other articles about all of the ways that AI diagnoses are proving more sensitive and more accurate than doctors. This really is the sort of thing that AI is actually good at - data evaluation and science, not art and writing.)

This decade really is, for many different reasons, the beginning of the next revolution in medicine. Luckily, medicine is mostly pretty well-regulated - and of course that means very long testing phases. I think we'll begin to really see the fruits of this revolution in the next 10 to 15 years.

[himanshu123]

Full Stack Developer Journey: Excel in Frontend, Backend, and AI-Powered Web Solutions 

In today’s tech-driven world, the role of a full stack developer is more critical than ever. As businesses increasingly seek robust and dynamic digital solutions, developers who are proficient in both front-end technologies and back-end systems have a competitive edge. This comprehensive guide will take you through the journey of becoming a full stack developer, focusing on mastering front-end and back-end skills while integrating AI-powered solutions into your projects. 

Understanding Full Stack Development 

Full stack development involves working on both the client-side (frontend) and server-side (backend) of web applications. A full stack developer is akin to a Swiss Army knife in the tech world, equipped with diverse skills that enable them to handle everything from user interface design to database management. This versatility is essential in modern development environments, where the demand for seamless user experiences and efficient data processing is at an all-time high. 

Mastering Frontend Technologies 

The journey begins with front-end development, which is all about creating engaging user interfaces. Proficiency in HTML, CSS, and JavaScript is crucial, as these languages form the backbone of web design. Today’s front-end technologies extend beyond basic languages. Frameworks like React, Angular, and Vue.js have transformed how developers build interactive user interfaces, enabling faster development cycles and more dynamic user experiences. 

In addition to frameworks, understanding responsive design is vital. With users accessing websites from various devices, your applications must adapt seamlessly. Tools like Bootstrap and Materialize help streamline this process, allowing developers to create fluid layouts that enhance user engagement. 

Diving into Backend Development 

Once you’ve mastered the front end, it’s time to delve into the backend, where the real magic happens. Backend development involves server-side programming, database management, and application logic. Languages such as Node.js, Python, Ruby, and PHP are popular choices for building robust backend systems. 

Understanding databases is also essential. Whether you choose SQL-based systems like MySQL and PostgreSQL or NoSQL options like MongoDB, knowing how to manage data efficiently is critical. An understanding of RESTful APIs and how they facilitate communication between the front end and backend is equally important. 

Integrating AI-Powered Solutions 

As technology continues to evolve, AI is increasingly becoming a cornerstone of web development. From chatbots enhancing user interaction to machine learning algorithms powering recommendation engines, AI can significantly improve web applications' functionality and user experience. 

Incorporating AI requires familiarity with various tools and libraries. TensorFlow and PyTorch are popular frameworks for building machine learning models, while platforms like Google Cloud and AWS offer AI services that developers can integrate into their applications. Learning how to leverage these technologies not only enhances your skill set but also positions you as a forward-thinking developer in a competitive job market. 

The Importance of Continuous Learning 

The field of web development is dynamic, with new frameworks, tools, and best practices emerging regularly. As a full stack developer, maintaining a commitment to continuous learning is essential. Online platforms such as Coursera, Udemy, and edX provide a wealth of resources, from beginner courses to advanced certifications. 

Engaging with developer communities, attending workshops, and contributing to open-source projects can also enhance your skills. These activities foster networking opportunities and expose you to different perspectives and solutions in web development. 

Tools and Resources 

To support your journey, various tools can streamline your development process. Version control systems like Git enable collaborative coding and project management. Development environments such as Visual Studio Code or WebStorm offer integrated solutions for coding, debugging, and deployment. 

Additionally, utilizing a mobile app cost calculator can help you estimate the financial implications of developing mobile solutions, whether they complement your web applications or stand alone. This tool can be invaluable for planning and budgeting your projects effectively. 

Building a Portfolio 

A strong portfolio is crucial for showcasing your skills and attracting potential employers or clients. Document your projects, emphasizing both front-end and back-end work. Include case studies that outline your thought process, challenges faced, and solutions implemented. This not only highlights your technical expertise but also demonstrates your problem-solving abilities and creativity. 

Career Opportunities and Future Trends 

As you gain experience and develop your portfolio, numerous career opportunities await. Full stack developers are in high demand across industries, from startups to established corporations. Roles may include web developer, software engineer, or even tech lead, depending on your level of expertise and experience. 

Looking ahead, the integration of AI and machine learning into web applications will continue to rise. Understanding how to implement these technologies will set you apart in the job market. Additionally, with the growing emphasis on user-centric design and responsive applications, full stack developers who excel in both frontend and backend technologies will be essential to creating future-ready solutions. 

Conclusion 

The journey to becoming a full stack developer is challenging yet immensely rewarding. By mastering front-end and backend technologies, integrating AI-powered solutions, and committing to lifelong learning, you can position yourself as a leader in web development. Whether you are looking to build applications that stand out or provide comprehensive web app development services, the skills you acquire will be invaluable. 

[nickgerlich]

Search Is The Word

The vast majority of my students have many things in common, and I don’t mean their youth. They have known a world in which the internet reigned supreme ever since they were born. They probably don’t remember life without smartphones. Shopping online is a no-brainer, while shopping in stores can be a chore.

And search engines are just a click or tap away.

The first search engine in the modern era, meaning 1994 when the World Wide Web was unleashed for public use, was Yahoo. The site sent out crawlers to scan what was then a pretty small internet, and users could find things if they knew how to frame a search query.

Yahoo was followed by Lycos, AskJeeves, and a rudimentary search tool created by Larry Page and Sergey Brin called BackRub. If you don’t recognize those two names, you should, because two years later, in 1998, they released Google. And the world has not been the same ever since.

While there were numerous other search engines that entered the market in the late-90s, it was Google that went on to rule the roost and become a verb. It is the go-to website for whenever we need to find out something, to the extent that the Department of Justice recently ruled the company had an illegal monopoly on search. But that’s a topic for another class.

Being able to search online sure beats the old card catalog system that libraries had when I was growing up. Imagine having to write a research paper and you had to know the Dewey Decimal System before you could even begin. It was a very different kind of hell.

But times are changing. Evolution is inevitable and unstoppable, a force not only of nature but also technology. While “traditional” search—and I use that word in quotes because it seems odd to use it for something less than 30 years old—is still dominant, other forms of search are emerging.

And, as when many new technologies arrive, these new ways are being adopted by younger people. GenZ in particular is ushering in a new generation of search, which includes these relatively new options: social search, AI platforms, and e-commerce sites.

While I cannot claim to be among the GenZ cohort, I can speak from experience. Although I Google among the best, and consider it the Swiss Army knife of my modern existence, I increasingly use Instagram and Facebook to find companies. I have used chatbots, which rely heavily on AI. And, not to be left out, I lean heavily on Amazon and Expedia.

Whaaaat?

Since Amazon is the world’s ultimate store, I figure if I strike out in a search there, then the product simply does not exist. That may not always be true, especially since there are some brands—notably Nike—not available there. Some of their third-party vendors may sell them—or knock-offs—but Amazon and Nike cut ties back in 2020.

And then there’s Expedia, the travel booking site for lodging, flights, and rental cars. I seldom if ever actually book anything through them. Instead, I use it to quickly find out which lodging properties are available in a particular city. Like Amazon, it is a pretty safe bet that most hotels and motels will show up in an Expedia search. Once I find out what is available, I then go to my brand-specific apps, which is usually Hilton, but not always.

So what does this mean? Plenty. It means that marketers must understand exactly how people search, and who is most likely to use the various methods. Failure to do so could leave you wondering why all that money you have been paying to Google isn’t yielding the results you wanted.

This helps explain how and why Google became the advertising giant it is, by selling top search query result rankings, but also at sites like Amazon and Expedia. It behooves marketers to pay Amazon, who realized ad revenues of $46.9 billion in 2023, to show up first. The same goes for hotels listed on Expedia. Organic search results are nice, but paid placements are better.

Since GenZ is such a huge consumer of sites like Instagram and TikTok, it also makes sense to have a significant presence there with ads and standard posts. Having to flip outside of an environment is inconvenient. If search can be done within an app where you already spend a lot of time, then all the better.

I suspect that in another 30 or 40 years, people will be reminiscing about how in the good old days, they had to use a clunky search tool like Google, because it had come to dominate the scene and left other search engines, like Bing, Duck Duck Go, Yahoo, and others, scrambling to pick up leftover crumbs.

With AI now all the rage, it also behooves sites like Google to embrace the technology in an effort to make search engines more fruitful. We started seeing the results of these efforts even before Chat GPT was released in November 2022. Have you noticed the predictive spelling and query completion appearing on your screen? You can thank AI.

We’ve come a long way since the Stone Age, which basically ended around 1994. Some people still cling to it. And there will be those who cling to the methods that came after 1994, but before the modern era. To each their own. But the marching orders for marketers remain the same: understand your target audience, and you will increase the chances of your success.

Sure beats having to flip through a card catalog.

Dr “Search Me” Gerlich

Audio Blog

[swissforextrading]

New wars, new weapons and the Geneva Conventions

In the wars in Ukraine and in the Middle East, new, autonomous weapons are being used. Our Inside Geneva podcast asks whether we’re losing the race to control them – and the artificial intelligence systems that run them.    “Autonomous weapons systems raise significant moral, ethical, and legal problems challenging human control over the use of force and handing over life-and-death decision-making to machines,” says Sai Bourothu, specialist in automated decision research with the Campaign to Stop Killer Robots.   How can we be sure an autonomous weapon will do what we humans originally intended? Who’s in control?  Jean-Marc Rickli from the Geneva Centre for Security Policy adds: “AI and machine learning basically lead to a situation where the machine is able to learn. And so now, if you talk to specialists, to scientists, they will tell you that it's a black box, we don't understand, it's very difficult to backtrack.”  Our listeners asked if an autonomous weapon could show empathy? Could it  differentiate between a fighter and a child? Last year, an experiment asked patients to rate chatbot doctors versus human doctors.  “Medical chatbots ranked much better in the quality. But they also asked them to rank empathy. And on the empathy dimension they also ranked better. If that is the case, then you opened up a Pandora’s box that will be completely transformative for disinformation,” explains Rickli.   Are we going to lose our humanity because we think machines are not only more reliable, but also kinder?  “I think it's going to be an incredibly immense task to code something such as empathy.  I think almost as close to the question of whether machines can love,” says Bourothu.   Join host Imogen Foulkes on the Inside Geneva podcast to learn more about this topic.   Please listen and subscribe to our science podcast -- the Swiss Connection.  Get in touch! • Email us at insidegeneva@swissinfo.ch (mailto:insidegeneva@swissinfo.ch) • Twitter: @ImogenFoulkes and @swissinfo_en Thank you for listening! If you like what we do, please leave a review or subscribe to our newsletter. https://www.youtube.com/watch?v=8Xt9LyvjQuA (Source of the original content)

[ardhra2000]

Achieving Results with Meta's OPT-175B: Real-World Examples

Understanding OPT-175B is pretty straightforward. It's a type of AI that Meta created to understand and generate human-like text. Think of it as a highly advanced chatbot that can write, answer questions, and even create stories.

OPT-175B is like a Swiss Army knife. It's versatile but not perfect for everything. Focus on tasks that involve language. Writing, summarizing, answering questions, or even coding—these are where OPT-175B shines. If your problem fits in these areas, you're on the right track.

Education is another area where OPT-175B is making waves. A high school history teacher, Mrs. Thompson, uses it to create engaging lesson plans. She inputs a general outline of what she wants to cover, and OPT-175B fills in with detailed notes, quiz questions, and even interactive assignments. 

Lastly, the creative arts have found a surprising ally in OPT-175B. A novelist, Emily, uses the AI to overcome writer's block. By inputting her plot summary and character descriptions, OPT-175B generates scene drafts and dialogue options, sparking creativity. It's not about writing the novel for her but providing inspiration when Emily hits a dead end.

that's the scoop on OPT-175B. It's like having a secret weapon in your toolkit. Use it right, and you can do more in less time. Remember to be specific, check the details, and throw in examples to get the best out of it.

[levysoft]

Una nuova ricerca mostra che i grandi modelli linguistici (LLM) come il GPT-4 possono sovraperformare significativamente gli esseri umani in termini di persuasività in situazioni di dibattito faccia a faccia.

In uno studio controllato, i ricercatori della École Polytechnique Fédérale de Lausanne (EPFL) e della Fondazione italiana Bruno Kessler hanno studiato il potere persuasivo dei grandi modelli linguistici come il GPT-4 in confronto diretto con gli esseri umani.

I partecipanti sono stati divisi in modo casuale in diversi gruppi e hanno discusso argomenti controversi. Il team di ricerca ha testato quattro diverse situazioni di dibattito: umano contro umano, umano contro IA, umano contro umano contro umano con personalizzazione e modello di intelligenza artificiale umano contro personalizzato.

Nella versione personalizzata, i dibattitori hanno anche avuto accesso a informazioni di base anonime sui loro avversari.

Il risultato: GPT-4 con accesso alle informazioni personali è stato in grado di aumentare l'accordo dei partecipanti con le argomentazioni dei loro avversari di un notevole 81,7% rispetto ai dibattiti tra esseri umani.

Senza personalizzazione, il vantaggio di GPT-4 rispetto agli esseri umani era ancora positivo al 21,3%, ma non statisticamente significativo.

I ricercatori attribuiscono questo vantaggio persuasivo dell'IA personalizzata al fatto che il modello linguistico utilizza abilmente le informazioni del profilo del partecipante per formulare argomenti su misura e persuasivi.

Secondo i ricercatori, è preoccupante che lo studio abbia utilizzato solo dati di base rudimentali per la personalizzazione - eppure la persuasività di GPT-4 era già così significativa.

Gli attori malintenzionati potrebbero generare profili utente ancora più dettagliati da tracce digitali, come l'attività sui social media o il comportamento di acquisto, per migliorare ulteriormente il potere persuasivo dei loro chatbot AI. Lo studio suggerisce che tali strategie di persuasione guidate dall'IA potrebbero avere un impatto importante in ambienti online sensibili come i social media.

I ricercatori raccomandano vivamente che gli operatori di piattaforme online adottino misure per contrastare la diffusione di tali strategie di persuasione guidate dall'IA. Una possibilità sarebbe quella di utilizzare sistemi di intelligenza artificiale personalizzati in modo simile che contrastano la disinformazione con controargomentazioni basate sui fatti.

I limiti dello studio includono l'assegnazione casuale dei partecipanti a posizioni pro o contro, indipendentemente dalle loro opinioni precedenti, e il formato strutturale predeterminato dei dibattiti, che differisce dalle dinamiche delle discussioni online spontanee.

Un'altra limitazione è il limite di tempo, che può potenzialmente limitare la creatività e la persuasività dei partecipanti, specialmente nella condizione di personalizzazione in cui i partecipanti devono elaborare ulteriori informazioni.

Lo studio completo è stato condotto tra dicembre 2023 e febbraio 2024 e finanziato dalla Swiss National Science Foundation e dall'Unione europea. È pubblicato come prestampa su arXiv.

Il CEO di OpenAI Sam Altman ha recentemente avvertito del potere persuasivo sovrumano dei grandi modelli linguistici: "Mi aspetto che l'IA sia capace di persuasione sovrumana ben prima che sia sovrumana nell'intelligenza generale, il che può portare ad alcuni risultati molto strani".

[hadnewscom]

AI chatbots 'think' in English, research finds-The large-language-models (LLMs) behind AI chatbots ‘think’ in English, even when being asked questions in other languages, new research shows.  To investigate this phenomenon, researchers at the Swiss Federal Institute of Technology in Lausanne looked at...

[mxmparts]

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[mostlysignssomeportents]

Google makes millions on paid abortion disinformation

Google’s search quality has been in steady decline for years, and Google assures us that they’re working on it, though the most visible effort is replacing links to webpages with lengthy, florid paragraphs written by a confident habitual liar chatbot:

https://pluralistic.net/2023/02/16/tweedledumber/#easily-spooked

The internet is increasingly full of garbage, much of it written by other confident habitual liar chatbots, which are now extruding plausible sentences at enormous scale. Future confident habitual liar chatbots will be trained on the output of these confident liar chatbots, producing Jathan Sadowski’s “Habsburg AI”:

https://twitter.com/jathansadowski/status/1625245803211272194

But the declining quality of Google Search isn’t merely a function of chatbot overload. For many years, Google’s local business listings have been terrible. Anyone who’s tried to find a handyman, a locksmith, an emergency tow, or other small businessperson has discovered that Google is worse than useless for this. Try to search for that locksmith on the corner that you pass every day? You won’t find them — but you will find a fake locksmith service that will dispatch an unqualified, fumble-fingered guy with a drill and a knockoff lock, who will drill out your lock, replace it with one made of bubblegum and spit, and charge you 400% the going rate (and then maybe come back to rob you):

https://www.nytimes.com/2016/01/31/business/fake-online-locksmiths-may-be-out-to-pick-your-pocket-too.html

Google is clearly losing the fraud/spam wars, which is pretty awful, given that they have spent billions to put every other search engine out of business. They spend $45b every year to secure exclusivity deals that prevent people from discovering or using rivals — that’s like buying a whole Twitter every year, just so they don’t have to compete:

https://www.thebignewsletter.com/p/how-a-google-antitrust-case-could/

But there’s an even worse form of fraudulent listing on Google, one they could do something about, but choose not to: ad-fraud. For all the money and energy thrown into “dark SEO” to trick Google into putting your shitty, scammy website at the top of the listings, there’s a much simpler method. All you need to do is pay Google — buy an ad, and your obviously fraudulent site will be right there, at the top of the search results.

There are so many top searches that go to fraud or malware sites. Tech support is a favorite. It’s not uncommon to search for tech support for Google products and be served a fake tech-support website where a scammer will try to trick you into installing a remote-access trojan and then steal everything you have, and/or take blackmail photos of you with your webcam:

https://www.bleepingcomputer.com/news/security/google-search-ads-infiltrated-again-by-tech-support-scams/

This is true even when Google has a trivial means of reliably detecting fraud. Take the restaurant monster-in-the-middle scam: a scammer clones the menu of a restaurant, marking up their prices by 15%, and then buys the top ad slot for searches for that restaurant. Search for the restaurant, click the top link, and land on a lookalike site. The scammer collects your order, bills your card, then places the same order, in your name, with the restaurant.

The thing is, Google runs these ads even for restaurants that are verified merchants — Google mails the restaurant a postcard with a unique number on it, and the restaurant owner keys that number in to verify that they are who they say they are. It would not be hard for Google to check whether an ad for a business matches one of its verified merchants, and, if so, whether the email address is a different one from the verified one on file. If so, Google could just email the verified address with a “Please confirm that you’re trying to buy an ad for a website other than the one we have on file” message:

https://pluralistic.net/2023/02/24/passive-income/#swiss-cheese-security

Google doesn’t do this. Instead, they accept — and make a fortune from — paid disinformation, across every category.

But not all categories of paid disinformation are equally bad: it’s one thing to pay a 15% surcharge on a takeout meal, but there’s a whole universe of paid medical disinformation that Google knows about and has an official policy of tolerating.

This paid medical disinformation comes from “crisis pregnancy centers”: these are fake abortion clinics that raise huge sums from religious fanatics to buy ads that show up for people seeking information about procuring an abortion. If they are duped by one of these ads, they are directed to a Big Con-style storefront staffed by people who pretend that they perform abortions, but who bombard their marks with falsehoods about health complications.

These con artists try to trick their marks into consenting to sexual assault — a transvaginal ultrasound. This is a prelude to another fraud, in which the “sporadic electrical impulses” generated by an early fetal structure is a “heartbeat” (early fetuses do not have hearts, so they cannot produce heartbeats):

https://www.nbcnews.com/health/womens-health/heartbeat-bills-called-fetal-heartbeat-six-weeks-pregnancy-rcna24435

If the victim still insists on getting an abortion, the fraudsters will use deceptive tactics to draw out the process until they run out the clock for a legal abortion, procuring a forced birth through deceit.

It is hard to imagine a less ethical course of conduct. Google’s policy of accepting “crisis pregnancy center” ads is the moral equivalent of taking money from fake oncologists who counsel people with cancer to forego chemotherapy in favor of juice-cleanses.

There is no ambiguity here: the purpose of a “crisis prengancy center” is to deceive people seeking abortions into thinking they are dealing with an abortion clinic, and then further deceive them into foregoing the abortion, by means of lies, sexually invasive and unnecessary medical procedures, and delaying tactics.

Now, a new report from the Center for Countering Digital Hate finds that Google made $10m last year on ads from “crisis pregnancy centers”:

https://www.wired.com/story/google-made-millions-from-ads-for-fake-abortion-clinics/

Many of these “crisis pregnancy centers” are also registered 501(c)3 charities, which makes them eligible for Google’s ad grants, which provide free ads to nonprofits. Marketers who cater to “crisis pregnancy center” advertise that they can help their clients qualify for these grants. In 2019, Google was caught giving tens of thousands of dollars’ worth of free ads to “crisis pregnancy centers”:

https://www.theguardian.com/technology/2019/may/12/google-advertising-abortion-obria

The keywords that “crisis pregnancy centers” bid up include “Planned Parenthood” — meaning that if actual Planned Parenthood clinics want to appear at the top of the search for “planned parenthood,” they have to outbid the fraudsters seeking to deceive Planned Parenthood patients.

Google has an official policy of requiring customers that pay for ads matching abortion-related search terms to label their ads to state whether or not they provide abortions, but the report documents failures to enforce this policy. The labels themselves are confusing: for example, abortion travel funds have to be labeled as “not providing abortions.”

Google isn’t afraid to ban whole categories of advertising: for example, Google has banned Plan C, a nonprofit that provides information about medication abortions. The company erroneously classes Plan C as an “unauthorized pharmacy.” But Google continues to offer paid disinformation on behalf of forced birth groups that claim there is such a thing as “abortion reversal” (there isn’t — but the “abortion reversal” drug cocktail is potentially lethal).

This is inexcusable, but it’s not unique — and it’s not even that profitable. $10m is a drop in the bucket for a company like Google. When you’re lighting $45b/year on fire just to prevent competition, $10m is chump change. A better way to understand Google’s relationship to paid disinformation can be found by studying Facebook’s own paid disinformation problem.

Facebook has a well-documented problem with paid political disinformation — unambiguous, illegal materials, like paid notices advising people to remember to vote on November 6th (when election day falls on November 5th). The company eventually promised to put political ads in a repository where they could be inspected by all parties to track its progress in blocking paid disinformation.

Facebook did a terrible job at this, with huge slices of its political ads never landing in its transparency portal. We know this because independent researchers at NYU’s engineering school built an independent, crowdsourced tracker called Ad Observer, which scraped all the ads volunteers saw and uploaded them to a portal called Ad Observatory.

Facebook viciously attacked the NYU project, falsely smearing it as a privacy risk (the plugin was open source and was independently audited by Mozilla researchers, who confirmed that it didn’t collect any personal information). When that didn’t work, they sent a stream of legal threats, claiming that NYU was trafficking in a “circumvention device” as defined by Section 1201 of the Digital Millennium Copyright Act, a felony carrying a five-year prison sentence and a $500k fine — for a first offense.

Eventually, NYU folded the project. Facebook, meanwhile, has fired or reassigned most of the staff who work on political ad transparency:

https://pluralistic.net/2021/08/06/get-you-coming-and-going/#potemkin-research-program

What are we to make of this? Facebook claims that it doesn’t need or want political ad revenue, which are a drop in the bucket and cause all kinds of headaches. That’s likely true — but Facebook’s aversion to blocking political ads doesn’t extend to spending a lot of money to keep paid political disinfo off the platform.

The company could turn up the sensitivity on its blocking algorithm, which would generate more false positives, in which nonpolitical ads are misidentified and have to be reviewed by humans. This is expensive, and it’s an expense Facebook can avoid if it can suppress information about its failures to block paid political disinformation. It’s cheaper to silence critics than it is to address their criticism.

I don’t think Google gives a shit about the $10m it gets from predatory fake abortion clinics. But I think the company believes that the PR trouble it would get into for blocking them — and the expense it would incur in trying to catch and block fake abortion clinic ads — are real liabilities. In other words, it’s not about the $10m it would lose by blocking the ads — Google wants to avoid the political heat it would take from forced birth fanatics and cost of the human reviewers who would have to double-check rejected ads.

In other words, Google doesn’t abet fraudulent abortion clinics because they share the depraved sadism of the people who run these clinics. Rather, Google teams up with these sadists out of cowardice and greed.

If you'd like an essay-formatted version of this thread to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/06/15/paid-medical-disinformation/#crisis-pregnancy-centers

[Image ID: A ruined streetscene. Atop a pile of rubble sits a dilapidated shack. In front of the shack is a letterboard with the word ABORTIONS set off-center and crooked. In the foreground is a carny barker at a podium, gesturing at the sign and the shack. The barker's head and face have been replaced with the Google logo. Within the barker's podium is a heap of US$100 bills.]

Image: Flying Logos (modified) https://commons.wikimedia.org/wiki/File:Over_$1,000,000_dollars_in_USD_$100_bill_stacks.png

CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en

[govindhtech]

The Magic of a Chatbot Script in Real Time

A chatbot script that addresses humans in real time

A chatbot is a script that addresses humans in real time. Chatbots are used for many business and personal purposes. A chatbot script that addresses humans in real timegenerally supply pre-written responses and information to handle basic requests or gather enough customer data to connect them to a live agent for more personalized service. Advanced chatbots use machine learning, AI, and generative AI to respond to user input in real time. Many companies use chatbots as a Swiss-Army knife, meeting many needs.

The first chatbot, Eliza, was created in 1966 by Joseph Weizenbaum. British programmer Rollo Carpenter created Jabberwocky, a “chatterbot” in 1988, one of the first “conversational AI” to learn new responses instead of serving pre-written language.

Chatbots are now better at conversation than ever. Most businesses use chatbots to improve customer communication. Despite their occasional clumsiness, customers now expect companies to have a customer support messenger A chatbot script that addresses humans in real time to help them self-serve or troubleshoot issues before escalating to a live agent.

AI-powered and rule-based chatbots exist. Rule-based chatbots respond to keywords and phrases using pre-defined scripts. Although limited in flexibility, they are fast and effective for simple tasks. AI bots understand prompts and context using machine learning and NLP. They can improve by learning from past interactions.

Most chatbots, even complex ones, use several key components. Users ask questions or prompt the chatbot via SMS, voice, or other interfaces. The chatbot script immediately analyzes the request using NLP methods like tokenization, stemming, and lemmatization to understand it.

The bot will determine the user’s intent based on NLP analysis: are they chatting, booking a flight, or tracking an order? The bot’s logic and algorithms will determine the appropriate response based on intent recognition. This may require using a knowledge base, searching for relevant information, or being creative.

Organizational chatbot use

Advanced chatbots remember past interactions and preferences to give customers a personalized experience that makes them feel accepted. Many companies also use proactive chatbot scriptto start conversations, upsell, help, or recommend new products and services.

There are some drawbacks. An organization must ensure that a chatbot provides valuable customer service and is customized. A confusing or unhelpful chatbot may lose customers and damage a brand. Additionally, companies that only use conversational chatbots may lose customers due to their inability to speak to a real person.

The variety of chatbots on the market shows their versatility and efficiency across industries. Deep learning helps Lyro handle up to 80% of common inquiries and improve response times, revolutionizing customer service. Kuki on Facebook Messenger and Google’s Meena redefined daily interaction and open-domain conversation with advanced language processing and context understanding. Ada, created by ServiceNow, is friendly and uses emojis and GIFs to show empathy and humor. Specialized bots like Domino’s Messenger Bot,

which simplifies food orders;

Insomnobot 3000, which provides quirky nighttime companionship;

real estate chatbots that enhance property browsing;

a variety of banking chatbots that help users pay bills, check account balances, and manage finances;

Woebot, which provides mental health support;

And Buoy, which aids in medical triage, are also used These examples show chatbots’ growing role in improving user experience, streamlining operations, and supporting across sectors.

The benefits go beyond automation. chatbot script are quickly becoming human agents’ coworkers, pre-populating information and highlighting urgent issues so they can focus on complex issues and emotional situations. chatbot script can overcome language barriers and provide instant support, building trust and satisfaction worldwide and 24/7. Companies can quickly understand the customer journey, identify pain points, improve offerings, and predict needs by combining AI insights with sentiment analysis.

Best enterprise chatbots

Customer service

Chatbot script improve customer and employee satisfaction by streamlining the process. AI-driven assistants support web and mobile platforms, making them accessible to most people.

Automated customer feedback collection by chatbots is crucial to service improvement. They also track orders and check on shipped items, making the buying process more transparent and trustworthy. Online sellers like Amazon have automated refund and exchange processes with chatbots, streamlining operations and reducing manual intervention.

Enterprises are increasingly using standard, AI-powered, and virtual assistants to improve customer service and operations. Website content and self-service support options quickly engage customers, reducing the need for face-to-face interaction with service representatives, making them popular. This capability lets customers solve problems on demand and reduces service team workload, allowing companies to increase customer support bandwidth.

Some companies use chatbot script to proactively engage customers and inform them about available help, providing immediate support upon site visit and guiding users through the site to meet their needs. Some companies integrate chatbot script with knowledge bases to efficiently handle support queries, while others use chatbots to determine customer needs before routing complex issues to its support team and human agents.

Employee development

VAs and AI tools answer employee questions and provide timely information. chatbot script free customer service reps from answering basic questions, which take 70–80% of their time. chatbot script speed up customer responses and free up reps for proactive support. This efficiency improves customer satisfaction and provides a cost-effective pricing solution for understaffed service teams since chatbots do not require salaries.

Sell and market

Chatbots automate sales lead generation, launch robust marketing campaigns, and maintain a steady flow of potential customers by collecting information from website visitors or mobile app users and converting anonymous visitors into leads. They nurture leads well, providing timely and relevant information to move them down the sales funnel.

Chatbots simplify business-customer interactions by booking and scheduling appointments. They also offer personalized recommendations that allow customers to buy online at their convenience, increasing conversion rates and following the e-commerce trend.

Chatbots improve marketing customer engagement by personalizing and interacting. They are increasingly used for automated news aggregation, helping businesses stay ahead of global news and trends for timely and relevant marketing strategies. E-commerce chatbots also recommend products based on users’ interests, improving the shopping experience and sales.

In social media and messaging, chatbots are essential. They underpin business messaging, enabling efficient and effective internal and external communication.

Human resources

Chatbots automate candidate pre-screening in HR, saving time. Conversational onboarding and interactive FAQs answer common questions and customer queries instantly, improving candidate and employee experiences. Chatbots keep candidates informed and engaged throughout the recruitment process with automated progress updates.

Chatbots are improving efficiency, customer and employee experiences, and business digital transformation.

How to implement a business chatbot

Chatbot implementation in an organization requires careful planning.

The following are chatbot implementation best practices for an organization

1. Establish objectives: Define your company’s chatbot goals. For customer service, employee assistance, internal information retrieval, or something else? Well-defined goals guide development and implementation.

2. Determine your audience: Who will use the chatbot. What are their expectations and communication preferences? Audience-specific chatbot tone and capabilities are essential for user adoption and satisfaction.

3. Select the right chatbot platform: Research platforms and tools based on the organization’s needs, budget, and technical expertise. Consider scalability, security, integrations, and usability.

4. Design the chatbot experience: Plan its conversation. Author user stories and scenario maps to ensure intuitive interaction and efficient user query resolution.

5. Create the chatbot: Build a knowledge base, script dialogues, and train the AI model Keep the chatbot’s language simple and error-free.

6. Test and refine the chatbot: Thoroughly before deployment. Fix bugs and inconsistencies. Based on user feedback, improve the chatbot.

7. Launch and promotion: Create a plan to promote the chatbot to your audience. Give users clear instructions on how to use it.

8. Track chatbot performance and user feedback: Data analysis can help improve the chatbot’s knowledge base and responses.

Additional chatbot considerations

Privacy and security of data Make sure your chatbot follows privacy laws and secures user data.

Make your chatbot accessible to disabled users.

Human supervision, Keep in mind that chatbots cannot replace humans. Have human support agents for complex issues or chatbot failures.

These resources and frameworks allow organizations to confidently integrate chatbots into their operations and improve customer-business communication. Making it easier to answer questions, schedule appointments, and give personalized recommendations to boost user satisfaction and sales. With careful planning and implementation, your business can benefit from a well-designed and deployed chatbot.

Read more on Govindhtech.com

[goooogle]

Google Gemini - AI Powerhouse of the Future

Hold on tight, folks, because Google just dropped a bombshell on the tech world: Gemini, its most powerful and sophisticated AI model yet. This isn't your average chatbot or language model; Gemini is a multi-tasking, multi-modal AI that promises to revolutionize how we interact with technology.

What is Google AI Gemini?

Google AI Gemini is a powerful and versatile artificial intelligence (AI) model developed by Google AI. It is considered the company's most capable and general-purpose AI to date, capable of handling a wide range of tasks and modalities.

A Glimpse into Gemini's Capabilities

Think of Gemini as a Swiss army knife of AI. It can:

Converse like a real human: Forget clunky, robotic conversations. Gemini can hold natural, engaging dialogues that adapt to your tone and context.

Understand and respond to multiple modalities: Images, text, audio, code, you name it, Gemini can handle it. This opens up a world of possibilities, from translating languages to generating creative content based on your input.

Code like a pro: Need a hand with that coding project? Gemini can write and understand code, making it a valuable tool for developers of all levels.

Drive data analytics: Gemini can crunch through mountains of data and extract valuable insights, empowering businesses to make better decisions.

Fuel your creativity: Struggling for the right words or a fresh perspective? Gemini can help you brainstorm ideas, write poems, scripts, or even musical pieces.

How Gemini AI Will Impact Our Lives

This isn't just another tech buzzword. Gemini has the potential to significantly impact our lives in various ways:

Revolutionizing Education: Imagine personalized learning experiences tailored to your individual needs, with AI tutors that can answer your questions and provide real-time feedback.

Empowering Creators: Artists, writers, and musicians can break free from creative blocks and explore new avenues with Gemini's help.

Bridging the Communication Gap: Gemini can help us communicate more effectively across languages and cultures, fostering greater understanding and collaboration.

Transforming Businesses: From personalized customer service to data-driven decision-making, Gemini can transform how businesses operate and interact with their customers.

How to use Google Gemini AI

Unfortunately, accessing and using Google Gemini AI directly is not yet publicly available. Currently, it's primarily used within Google for research and development purposes. However, there are a few ways to experience glimpses of its capabilities:

1. Bard: Google AI has integrated a version of Gemini's capabilities into its Bard chatbot. This allows users to interact with the AI through text-based prompts and receive responses in various formats, including creative text formats like poems, code, scripts, musical pieces, etc.

2. Third-party applications: Some developers have created applications that utilize Gemini's API for specific purposes. These applications can range from AI-powered writing assistants to tools for data analysis and code generation.

3. Research papers and blog posts: Google AI often publishes research papers and blog posts detailing Gemini's capabilities and potential applications. These can provide valuable insights into the technology and its future prospects.

Here are some helpful resources to learn more about Google Gemini AI:

Google AI Blog: https://blog.research.google/

Google Research Papers: https://research.google/pubs/

Bard Chatbot: https://blog.google/technology/ai/bard-google-ai-search-updates/

YouTube Tutorials: Several YouTube channels offer tutorials on using Gemini AI through Bard and other applications.

While public access to Gemini AI is limited at present, its potential applications are vast and promising. By staying informed about its development and utilizing available resources, you can stay ahead of the curve and prepare for the future of AI-powered technology.

Is Gemini AI better than ChatGPT?

Google AI Gemini and ChatGPT are both powerful AI models with unique strengths and weaknesses. Choosing the "better" one depends on your specific needs and priorities.

Gemini:

Multimodal: Handles text, images, video, audio, and code, making it versatile for complex tasks.

Code generation: Superior, making it valuable for developers.

Overall performance: Outperforms ChatGPT on most academic tasks.

Future potential: "Gemini Ultra" promises even better performance.

ChatGPT:

Accessibility: Publicly available, while Gemini is not.

Ease of use: User-friendly interface, ideal for beginners.

Creative writing: Excels in generating poems, scripts, and musical pieces.

Large user community: More resources and tutorials readily available.

[ranajaydeo]

How to Use ChatGPT & BeGenieUs: A Comprehensive Step-by-Step Guide

In the rapidly evolving digital landscape of the 21st century, marked by constant technological advancements, the integration of artificial intelligence (AI) has become fundamental for businesses and individuals who are Seek enhanced communication and collaboration.

 In the contemporary  digital media landscape, artificial intelligence (AI) plays a central role in revolutionizing and improving the way we interact and connect.

 Integrating AI technology into digital media channels offers countless benefits,  from efficiency and personalization to advanced analytics.

 For example, AI-powered chatbots provide instant and intelligent responses, improving the customer service experience.

 Natural language processing (NLP) algorithms enable AI to understand and produce human-like text, facilitating more contextual and meaningful  conversations.

 Additionally, AI-powered personalization tailors content and recommendations based on user behavior, promoting a more relevant and engaging  user experience.

 As technology continues to advance, AI’s role  in digital media is poised to expand, providing innovative solutions that streamline processes, enhance engagement and ultimately shape re the dynamics of online interaction.

 In this era of constant innovation, platforms like BeGenieUs, driven by the sophisticated capabilities of OpenAI’s ChatGPT, are at the forefront, providing flexible toolkits that seamlessly integrate AI into multiple processes different jobs.

 This comprehensive exploration aims to delve deeper into the multifaceted aspects of BeGenieUs, shedding light on its role in changing the way we communicate and collaborate in the digital age.

Understanding the Digital Imperative:

As the digital paradigm shifts, traditional modes of communication and collaboration are giving way to innovative solutions that leverage AI. The need to adapt to these changes is more pressing than ever. BeGenieUs positions itself as a solution at the nexus of innovation and functionality, encapsulating the essence of this transformative digital landscape.

The Role of BeGenieUs in the AI Revolution:

At its core, BeGenieUs is underpinned by ChatGPT, an AI model developed by OpenAI that has garnered acclaim for its natural language processing capabilities. Built on the principles of deep learning and neural networks, ChatGPT empowers BeGenieUs to comprehend and generate human-like text, making it a potent tool for communication and collaboration.

BeGenieUs is not a mere tool; it is a comprehensive platform that encompasses a spectrum of functionalities. From fostering intelligent conversations through Chat Circles to revolutionizing document creation in Doc Studio, and from crafting engaging landing pages using BARD, ChatGPT, and H2O GPT to enhancing communication through the Video Library, BeGenieUs is a versatile AI Swiss army knife designed to cater to diverse digital needs.

Unlocking the Power of Chat Circles:

The Chat Circles feature within BeGenieUs signifies a paradigm shift in collaborative discussions. It transforms group interactions into valuable resources, allowing users to seamlessly share ideas, insights, and information. ChatGPT becomes an active participant in these circles, elevating the quality and intelligence of discussions.

Revolutionizing Document Creation with Doc Studio:

Doc Studio, another cornerstone of BeGenieUs, takes the lead in transforming how we generate documents. Beyond conventional document creation tools, BeGenieUs allows users to collaborate in Chat Circles, source content from various channels, and seamlessly generate polished PDFs. This not only streamlines the document creation process but also opens avenues for innovative approaches such as lead magnets and eBooks.

Engaging Landing Pages:

In the realm of online presence, BeGenieUs introduces an innovative approach to landing pages. Leveraging the power of BARD, ChatGPT, and H2O GPT, users can craft landing pages that are not only visually appealing but also tailored to provide unique and engaging user experiences. This feature brings a new dimension to digital engagement, allowing businesses and individuals to leave a lasting impression on their audience.

Dynamic Video Interactions with Video Library:

The Video Library feature within BeGenieUs adds a dynamic element to communication. By facilitating the recording, generation, and sharing of videos, it enables users to create compelling visual content. The incorporation of H2O GPT’s intelligent algorithms ensures that these videos are not just static but interactive, opening avenues for a more engaging and personalized communication experience.

A Step-by-Step Guide to Unleashing BeGenieUs:

Getting Started:

Navigating the Dashboard:

Initiating Chat Circles:

Doc Studio and Collaborative Document Creation:

Crafting Engaging Landing Pages:

The Landing Page section, driven by BARD, ChatGPT, and H2O GPT, empowers users to create personalized and visually appealing pages. By optimizing content, businesses can elevate their online presence.

Dynamic Video Interactions:

Conclusion:

In conclusion, BeGenieUs emerges as a transformative force in the digital landscape, seamlessly integrating AI technologies to enhance communication and collaboration. From intelligent conversations in Chat Circles to collaborative document creation in Doc Studio, personalized landing pages, and dynamic video interactions, BeGenieUs exemplifies the power of AI in shaping the way we interact and work in the digital age.

Future Trends and Considerations:

As we continue to witness the evolution of technology, platforms like BeGenieUs pave the way for a future where AI-driven workflows become the norm, unlocking new possibilities and efficiencies in our digital endeavors. The incorporation of AI in everyday workflows is expected to become more prevalent, with tools like BeGenieUs leading the charge.

Appendix: Frequently Asked Questions (FAQs):

Can I provide feedback to improve the AI functionalities?

We highly value user feedback and use it to enhance our AI functionalities continually. You can provide feedback directly through our platform or reach out to our support team with any suggestions or ideas for improvement.

How can the AI-generated content be shared on social media platforms?

Once you’ve created AI-generated content like Documents or GIFs, you can easily share them on various social media platforms by downloading the files and uploading them to your social media accounts.

Step by Step video tutorial: https://www.youtube.com/playlist?list=PL_c4QYu8a4he3NWbQfUpNfBQvvc8HtiLw

[globallyfulfill]

The eCommerce Struggle is Real: 10 Fixes for the Online Seller's Blues

Hey Tumblrfam,

Ever wonder why some online shops thrive while others just barely survive? It’s all in the art (and science) of e-commerce enablement. It’s a fancy term, but really, it’s about overcoming those pesky obstacles that throw a wrench in your virtual shopping carts. So, buckle up! We’re diving into the top 10 challenges that online sellers face and how to master them like a boss.

1. Molasses Shipping 🐢

Speed is king, right? Well, nobody likes to wait an eternity for their goodies. So, team up with a fulfillment partner faster than a caffeinated cheetah. It’s all about that swift delivery life!

2. "Where You At?" Locations 📍

Get your packages from A to B without taking a detour through Z. Opt for fulfillment centers that practically share a zip code with your customers. The closer, the quicker and cheaper!

3. Software Shenanigans 💻

Complicated software? No thanks. Pick a system that plays nice with your existing tech stack. Your operations (and sanity) will thank you!

4. Missed Branding Opportunities ✨

Your package is your brand's hello. Make it count with killer packaging that screams “open me”! Customized branding is your silent ambassador.

5. Return to Sender Issues ↩️

Make returns as easy as a 90s pop song hook. Choose a fulfillment partner that processes returns like a boss, turning potential losses into love from your customers.

6. "Free" Shipping Fantasies 🚚💸

Free shipping? It's often a must-have, but your margins say, “Hold up!” Find clever ways to weave shipping costs into your prices, or set minimum spends. Your customers get the 'free' they want without you playing financial Jenga.

7. Handle With Care (Damaged Goods) 📦

Pack your items like they’re fragile treasures (even if they’re not). Quality materials and packing smarts equal happy customers and fewer headaches.

8. Ghost Carts 👻🛒

Cart abandonment is the haunting of the e-commerce world. Combat it with transparent pricing, guest checkout options, and a streamlined buying process. Keep those carts crossing the finish line!

9. Customer Service Fails 🚫🤦‍♂️

Don’t skimp on support. Be the hero with speedy email responses, a handy FAQ, and chatbots that don’t sound like robots. Great service equals customers who stick around.

10. The Backorder Blues 📉

Inventory snafus lead to backorder baddies. Use smart software to keep tabs on your stock and communicate clearly with customers about wait times. A little discount for their patience? Cherry on top!

Conclusion:

E-commerce is like a video game - it’s all fun and games until you hit the boss level. These fixes are your cheat codes to level up in the online selling arena. And if you can’t beat 'em? Join 'em! Partner with a fulfillment service like Globallyfulfill that’s basically the multi-tool Swiss Army knife for your shipping woes. Happy selling, and may your customer reviews shine brighter than your screen at 2 AM!

[passivern]

Afforai Review: Your Ultimate AI Research Assistant

Discover the Future of Research with Afforai In our quest for knowledge, the journey to mastering a new topic can sometimes feel like a weird side quest. Ever find yourself sinking into a Reddit rabbit hole or wading through questionable sources? You're not alone. With the overwhelming amount of information available online, reliable research can be a daunting task. But what if there was an AI research assistant that could analyze hundreds of documents and URLs to provide accurate answers? Welcome to the world of Afforai, a powerful AI chatbot designed to make research a breeze. Let's embark on a journey to explore how Afforai can transform your research experience. Getting to Know Afforai Afforai, founded in January 2023 and headquartered in Austin, Texas, is more than just an AI chatbot. It's your reliable companion on your quest for knowledge. Imagine having the ability to sift through hundreds of documents and URLs effortlessly, all while connecting to Google Search for the most up-to-date answers. That's Afforai for you. https://youtu.be/GotbWmaIXIM?si=SyR5hnBAa1raOQTE Get Afforai Lifetime Deal The Power of Afforai - Features and Benefits Afforai is your Swiss Army knife for research, equipped with a range of features: - Automatic Document Analysis: Afforai can automatically analyze hundreds of documents and URLs, providing answers with citations. - Seamless Integration with Google Search: Connect your AI chatbot to Google Search for real-time information from trusted sources. - Diverse Document Types: Whether it's PDFs, Word documents, or PowerPoint presentations, Afforai handles it all. - Multilingual Support: Ask questions in over 100 languages and receive instant, accurate responses. - Side-by-Side Document Viewer: Work with ease, viewing your research document alongside the chat window. - Data Citations: Every answer comes with clickable citation links for complete transparency. How Afforai Makes Research a Breeze Afforai's user-friendly interface ensures that you don't have to be a tech guru to make the most of it. Here's how it works: - Upload Your Documents: Easily upload various document types, from research papers to presentations. - Ask Questions: Communicate with Afforai by asking questions in your preferred language. - Instant Answers: Get instant, accurate answers without sifting through pages. - Side-by-Side View: The document viewer displays your research document alongside the chat, eliminating the need to switch tabs. - Citations for Transparency: Every answer is accompanied by clickable citation links, offering full traceability. Get Afforai LTD Use Cases of Afforai 1. Academic Research - Students: Afforai can be a game-changer for students conducting research for assignments, theses, or dissertations. It provides accurate information and citations, saving hours of manual research. 2. Professional Research - Researchers: Researchers in various fields can use Afforai to streamline their research efforts, ensuring they access accurate and up-to-date information. 3. Knowledge Workers - Content Creators: Content creators and writers can use Afforai to gather information quickly, leading to more in-depth and well-researched articles and blog posts. - Sales Teams: Sales teams can use Afforai to research potential clients or industries, providing them with valuable insights for more effective sales strategies. 4. Language Learning - Language Learners: Afforai's multilingual support is invaluable for language learners. It can provide answers and explanations in various languages, enhancing the learning process. 5. Data Analysis - Business Analysts: Business analysts can utilize Afforai to extract insights from reports and documents, enabling data-driven decision-making. 6. Legal Research - Legal Professionals: Lawyers and legal researchers can benefit from Afforai's ability to analyze legal documents, statutes, and case law, making legal research more efficient. 7. Competitor Analysis - Business Owners: Business owners can use Afforai to gather competitive intelligence, aiding in understanding the market and staying ahead of competitors. 8. Content Localization - Marketing Teams: Marketing teams can use Afforai to understand local markets and adapt content for different regions and languages. Get Afforai Lifetime Deal How Businesses Can Be Helped by Using Afforai - Efficient Research: Businesses can save time and resources by automating research processes. Afforai ensures that data collection and analysis are efficient and accurate. - Improved Decision-Making: Access to up-to-date information and comprehensive insights allows businesses to make informed decisions, whether in sales, marketing, or strategic planning. - Competitive Edge: Keeping an eye on competitors is crucial. Afforai helps businesses gather competitive intelligence quickly, helping them stay ahead of the curve. - Content Marketing: Content is key in the digital age. Afforai helps content creators research topics thoroughly, resulting in high-quality and engaging content. - Data-Driven Insights: For data-driven businesses, Afforai assists in extracting valuable insights from reports and documents, which can inform strategy and performance improvements. - Language Expansion: For businesses looking to expand into new markets, Afforai's multilingual capabilities aid in understanding local trends and culture, ensuring smoother market entry. - Legal Compliance: Legal professionals and businesses can ensure they are compliant with changing regulations by staying informed about the latest laws and cases in their industry. - Education and Training: Organizations in the education sector can use Afforai to develop better educational content and materials, enriching the learning experience. Get Afforai Lifetime Deal Real-world Benefits and User Experiences Afforai is more than a tool; it's a solution that addresses the challenges faced by researchers, sales teams, and knowledge workers. Users have experienced a transformation in their research approach, thanks to Afforai's accuracy, speed, and reliability. Imagine having a research assistant that never lets you down. Updates and Improvements Afforai is continually evolving to enhance the user experience. Recent improvements include expanded chat instruction limits, safety checks for file uploads, enhanced BYOK customization, and much more. These updates are just the beginning, with many more to come as Afforai refines its service. What's Next for Afforai Exciting plans are on the horizon for Afforai. The expansion of Google Mode, which includes Google Scholar, is a top priority. This development will provide users with an even broader range of research capabilities. Stay tuned for these upcoming features and enhancements Conclusion: Unlock the Power of Research with Afforai If you're tired of the endless search for reliable information and the frustration of fact-checking, it's time to embrace Afforai. This AI research assistant is designed to empower you with accurate, fast, and reliable answers. As a testament to its quality, Afforai has already gained the trust of over 2,000 users. Don't miss out on the future of research. Join the Afforai community and experience research like never before. Get started today and transform your approach to knowledge acquisition. Ready to embark on your research journey with Afforai? Click here to explore Afforai and take advantage of the AppSumo campaign. Make the most of this opportunity to enjoy the benefits of Afforai for a lifetime. Discover a new era of research with Afforai. Read the full article