#AI search

[belvira]

Googles ai search is going great

[mostlysignssomeportents]

Even if you think AI search could be good, it won’t be good

TONIGHT (May 15), I'm in NORTH HOLLYWOOD for a screening of STEPHANIE KELTON'S FINDING THE MONEY; FRIDAY (May 17), I'm at the INTERNET ARCHIVE in SAN FRANCISCO to keynote the 10th anniversary of the AUTHORS ALLIANCE.

The big news in search this week is that Google is continuing its transition to "AI search" – instead of typing in search terms and getting links to websites, you'll ask Google a question and an AI will compose an answer based on things it finds on the web:

https://blog.google/products/search/generative-ai-google-search-may-2024/

Google bills this as "let Google do the googling for you." Rather than searching the web yourself, you'll delegate this task to Google. Hidden in this pitch is a tacit admission that Google is no longer a convenient or reliable way to retrieve information, drowning as it is in AI-generated spam, poorly labeled ads, and SEO garbage:

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

Googling used to be easy: type in a query, get back a screen of highly relevant results. Today, clicking the top links will take you to sites that paid for placement at the top of the screen (rather than the sites that best match your query). Clicking further down will get you scams, AI slop, or bulk-produced SEO nonsense.

AI-powered search promises to fix this, not by making Google search results better, but by having a bot sort through the search results and discard the nonsense that Google will continue to serve up, and summarize the high quality results.

Now, there are plenty of obvious objections to this plan. For starters, why wouldn't Google just make its search results better? Rather than building a LLM for the sole purpose of sorting through the garbage Google is either paid or tricked into serving up, why not just stop serving up garbage? We know that's possible, because other search engines serve really good results by paying for access to Google's back-end and then filtering the results:

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

Another obvious objection: why would anyone write the web if the only purpose for doing so is to feed a bot that will summarize what you've written without sending anyone to your webpage? Whether you're a commercial publisher hoping to make money from advertising or subscriptions, or – like me – an open access publisher hoping to change people's minds, why would you invite Google to summarize your work without ever showing it to internet users? Nevermind how unfair that is, think about how implausible it is: if this is the way Google will work in the future, why wouldn't every publisher just block Google's crawler?

A third obvious objection: AI is bad. Not morally bad (though maybe morally bad, too!), but technically bad. It "hallucinates" nonsense answers, including dangerous nonsense. It's a supremely confident liar that can get you killed:

https://www.theguardian.com/technology/2023/sep/01/mushroom-pickers-urged-to-avoid-foraging-books-on-amazon-that-appear-to-be-written-by-ai

The promises of AI are grossly oversold, including the promises Google makes, like its claim that its AI had discovered millions of useful new materials. In reality, the number of useful new materials Deepmind had discovered was zero:

https://pluralistic.net/2024/04/23/maximal-plausibility/#reverse-centaurs

This is true of all of AI's most impressive demos. Often, "AI" turns out to be low-waged human workers in a distant call-center pretending to be robots:

https://pluralistic.net/2024/01/31/neural-interface-beta-tester/#tailfins

Sometimes, the AI robot dancing on stage turns out to literally be just a person in a robot suit pretending to be a robot:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

The AI video demos that represent "an existential threat to Hollywood filmmaking" turn out to be so cumbersome as to be practically useless (and vastly inferior to existing production techniques):

https://www.wheresyoured.at/expectations-versus-reality/

But let's take Google at its word. Let's stipulate that:

a) It can't fix search, only add a slop-filtering AI layer on top of it; and

b) The rest of the world will continue to let Google index its pages even if they derive no benefit from doing so; and

c) Google will shortly fix its AI, and all the lies about AI capabilities will be revealed to be premature truths that are finally realized.

AI search is still a bad idea. Because beyond all the obvious reasons that AI search is a terrible idea, there's a subtle – and incurable – defect in this plan: AI search – even excellent AI search – makes it far too easy for Google to cheat us, and Google can't stop cheating us.

Remember: enshittification isn't the result of worse people running tech companies today than in the years when tech services were good and useful. Rather, enshittification is rooted in the collapse of constraints that used to prevent those same people from making their services worse in service to increasing their profit margins:

https://pluralistic.net/2024/03/26/glitchbread/#electronic-shelf-tags

These companies always had the capacity to siphon value away from business customers (like publishers) and end-users (like searchers). That comes with the territory: digital businesses can alter their "business logic" from instant to instant, and for each user, allowing them to change payouts, prices and ranking. I call this "twiddling": turning the knobs on the system's back-end to make sure the house always wins:

https://pluralistic.net/2023/02/19/twiddler/

What changed wasn't the character of the leaders of these businesses, nor their capacity to cheat us. What changed was the consequences for cheating. When the tech companies merged to monopoly, they ceased to fear losing your business to a competitor.

Google's 90% search market share was attained by bribing everyone who operates a service or platform where you might encounter a search box to connect that box to Google. Spending tens of billions of dollars every year to make sure no one ever encounters a non-Google search is a cheaper way to retain your business than making sure Google is the very best search engine:

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

Competition was once a threat to Google; for years, its mantra was "competition is a click away." Today, competition is all but nonexistent.

Then the surveillance business consolidated into a small number of firms. Two companies dominate the commercial surveillance industry: Google and Meta, and they collude to rig the market:

https://en.wikipedia.org/wiki/Jedi_Blue

That consolidation inevitably leads to regulatory capture: shorn of competitive pressure, the companies that dominate the sector can converge on a single message to policymakers and use their monopoly profits to turn that message into policy:

https://pluralistic.net/2022/06/05/regulatory-capture/

This is why Google doesn't have to worry about privacy laws. They've successfully prevented the passage of a US federal consumer privacy law. The last time the US passed a federal consumer privacy law was in 1988. It's a law that bans video store clerks from telling the newspapers which VHS cassettes you rented:

https://en.wikipedia.org/wiki/Video_Privacy_Protection_Act

In Europe, Google's vast profits lets it fly an Irish flag of convenience, thus taking advantage of Ireland's tolerance for tax evasion and violations of European privacy law:

https://pluralistic.net/2023/05/15/finnegans-snooze/#dirty-old-town

Google doesn't fear competition, it doesn't fear regulation, and it also doesn't fear rival technologies. Google and its fellow Big Tech cartel members have expanded IP law to allow it to prevent third parties from reverse-engineer, hacking, or scraping its services. Google doesn't have to worry about ad-blocking, tracker blocking, or scrapers that filter out Google's lucrative, low-quality results:

https://locusmag.com/2020/09/cory-doctorow-ip/

Google doesn't fear competition, it doesn't fear regulation, it doesn't fear rival technology and it doesn't fear its workers. Google's workforce once enjoyed enormous sway over the company's direction, thanks to their scarcity and market power. But Google has outgrown its dependence on its workers, and lays them off in vast numbers, even as it increases its profits and pisses away tens of billions on stock buybacks:

https://pluralistic.net/2023/11/25/moral-injury/#enshittification

Google is fearless. It doesn't fear losing your business, or being punished by regulators, or being mired in guerrilla warfare with rival engineers. It certainly doesn't fear its workers.

Making search worse is good for Google. Reducing search quality increases the number of queries, and thus ads, that each user must make to find their answers:

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

If Google can make things worse for searchers without losing their business, it can make more money for itself. Without the discipline of markets, regulators, tech or workers, it has no impediment to transferring value from searchers and publishers to itself.

Which brings me back to AI search. When Google substitutes its own summaries for links to pages, it creates innumerable opportunities to charge publishers for preferential placement in those summaries.

This is true of any algorithmic feed: while such feeds are important – even vital – for making sense of huge amounts of information, they can also be used to play a high-speed shell-game that makes suckers out of the rest of us:

https://pluralistic.net/2024/05/11/for-you/#the-algorithm-tm

When you trust someone to summarize the truth for you, you become terribly vulnerable to their self-serving lies. In an ideal world, these intermediaries would be "fiduciaries," with a solemn (and legally binding) duty to put your interests ahead of their own:

https://pluralistic.net/2024/05/07/treacherous-computing/#rewilding-the-internet

But Google is clear that its first duty is to its shareholders: not to publishers, not to searchers, not to "partners" or employees.

AI search makes cheating so easy, and Google cheats so much. Indeed, the defects in AI give Google a readymade excuse for any apparent self-dealing: "we didn't tell you a lie because someone paid us to (for example, to recommend a product, or a hotel room, or a political point of view). Sure, they did pay us, but that was just an AI 'hallucination.'"

The existence of well-known AI hallucinations creates a zone of plausible deniability for even more enshittification of Google search. As Madeleine Clare Elish writes, AI serves as a "moral crumple zone":

https://estsjournal.org/index.php/ests/article/view/260

That's why, even if you're willing to believe that Google could make a great AI-based search, we can nevertheless be certain that they won't.

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/2024/05/15/they-trust-me-dumb-fucks/#ai-search

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

--

djhughman https://commons.wikimedia.org/wiki/File:Modular_synthesizer_-_%22Control_Voltage%22_electronic_music_shop_in_Portland_OR_-_School_Photos_PCC_%282015-05-23_12.43.01_by_djhughman%29.jpg

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

[blackobsidianmystic]

Who Is Hecate (Hekate)?

Hecate is a Greek goddess associated with magic, witchcraft, the night, and the underworld:

Domains

Hecate's domains include the sky, earth, and sea. She is also associated with crossroads, doorways, and the protection of women and childbirth.

Appearance

Hecate is often depicted with three faces, representing her role as a guardian of boundaries and crossroads. She is also sometimes shown with three bodies, or as a single body with three faces. She is often depicted holding torches, a key, or snakes, and accompanied by dogs.

Powers

Hecate's powers include witchcraft, necromancy, and the ability to open portals between realms. She is said to have allowed the living to communicate with the dead and other supernatural beings.

Family

Hecate's parentage is unclear, with different sources giving different accounts. Some say she is the daughter of Perses and Asteria, while others say she is the daughter of Zeus and Demeter, Aristaion, or Night.

History

Hecate originated in Thrace, an area that is now part of Bulgaria, Greece, and Turkey. She was worshipped in ancient Greece, and was popular among the witches of Thessaly.

Symbolism

In Macbeth, the Weïrd Sisters are said to answer to Hecate, rather than the devil. This symbolizes the idea that there is always an “other side” to the world.

Roman Counterpart

Trivia

🌑🌑🌑

[awkwardbros]

Nuff said my friend. Ok. Just give me a minute to sort this wild message out.

Ok… it could be more than that. This runs all over the board which could be exactly the point or super ironic given the tattoo. How much weight do we give intention here? Can someone with a paid subscription to a visual AI service run this through? It you can afford the subscription, you have the time. Just sayin.

…You know, I’m betting either myself or a fireman might be coming for this guy and not for any reason anyone is thinking right now.

[pawfulofwaffles]

Looking at the Google AI overview fails, and just thinking... how the fuck did Google not realize how absolutely stupid this idea was? Even I, a 15 year old who can't even drive a car yet, has enough common sense to realize that AI using the internet as reference for it's answers is going to end horribly. The interent is a cesspool, and although there can be helpful things found on it, it's more than obvious that the AI is getting it's information from a lot of memes.

A lot of these have managed to correct their mistake, but you can see where they got their original misinformation from.

(A fruit that ends in um is plum in case you're curious)

Here's my test. As you can see it's STILL wrong,

and here's the comment that the AI originally mistaked for true information.

Anyways, AI is stupid, it can only really gather data and steal from other people, it doesn't have the common sense and intuition and experience that we have that helps us determine what's true and what's obviously not, it will never understand as much as us, and companies are failing us. Ok bye!!

[ink-dreams-ffxiv]

Only Works on Chrome Currently...

Report a problem

Do a search on Google.

At the top right of a search result, click More. Feedback.

Enter a description of the issue.

If you want, you can highlight the part of the page you want to send feedback about.

Click Send.

Report Overview results that have nothing to do with your search, results of a dangerous, harmful or wrong nature. Racist suggestions, Hate Speech, threats, etc. Report it. Prove to Google how wrong they are about their "AI Search"

[tofutama]

Why are there generative Ai search results in front of me when I open a new tab in Firefox and how do I kill it?

I've torn through several threads trying to figure out how to remove Google's new "SGE" in search feature and everyone asking is getting sandbagged by customer support.

I've tried using other search engines but none really present decent results when compared to Google, as that's how monopoly works unfortunately.

[mostlysignssomeportents]

Dinkclump Linkdump

I'm on tour with my new novel The Bezzle! Catch me TONIGHT in LA (Saturday night, with Adam Conover), Seattle (Monday, with Neal Stephenson), then Portland, Phoenix and more!

Some Saturday mornings, I look at the week's blogging and realize I have a lot more links saved up than I managed to write about this week, and then I do a linkdump. There've been 14 of these, and this is number 15:

https://pluralistic.net/tag/linkdump/

Attentive readers will note that this isn't Saturday. You're right. But I'm on a book tour and every day is shatterday, because damn, it's grueling and I'm not the spry manchild who took Little Brother on the road in 2008 – I'm a 52 year old with two artificial hips. Hence: an out-of-cycle linkdump. Come see me on tour and marvel at my verticality!

https://pluralistic.net/2024/02/16/narrative-capitalism/#bezzle-tour

Best thing I read this week, hands down, was Ryan Broderick's Garbage Day piece, "AI search is a doomsday cult":

https://www.garbageday.email/p/ai-search-doomsday-cult

Broderick makes so many excellent points in this piece. First among them: AI search sucks, but that's OK, because no one is asking for AI search. This only got more true later in the week when everyone's favorite spicy autocomplete accidentally loaded the James Joyce module:

https://arstechnica.com/information-technology/2024/02/chatgpt-alarms-users-by-spitting-out-shakespearean-nonsense-and-rambling/

(As Matt Webb noted, Chatbots have slid rapidly from Star Trek (computers give you useful information in a timely fashion) to Douglas Adams (computers spout hostile, impenetrable nonsense at you):

https://interconnected.org/home/2024/02/21/adams

But beyond the unsuitability of AI for search results and beyond the public's yawning indifference to AI-infused search, Broderick makes a more important point: AI search is about summarizing web results so you don't have to click links and read the pages yourself.

If that's the future of the web, who the fuck is going to write those pages that the summarizer summarizes? What is the incentive, the business-model, the rational explanation for predicting a world in which millions of us go on writing web-pages, when the gatekeepers to the web have promised to rig the game so that no one will ever visit those pages, or read what we've written there, or even know it was us who wrote the underlying material the summarizer just summarized?

If we stop writing the web, AIs will have to summarize each other, forming an inhuman centipede of botshit-ingestion. This is bad news, because there's pretty solid mathematical evidence that training a bot on botshit makes it absolutely useless. Or, as the authors of the paper – including the eminent cryptographer Ross Anderson – put it, "using model-generated content in training causes irreversible defects":

https://arxiv.org/abs/2305.17493

This is the mathematical evidence for Jathan Sadowski's "Hapsburg AI," or, as the mathematicians call it, "The Curse of Recursion" (new band-name just dropped).

But if you really have your heart set on living in a ruined dystopia dominated by hostile artificial life-forms, have no fear. As Hamilton Nolan writes in "Radical Capital," a rogues gallery of worker-maiming corporations have asked a court to rule that the NLRB can't punish them for violating labor law:

https://www.hamiltonnolan.com/p/radical-capital

Trader Joe’s, Amazon, Starbucks and SpaceX have all made this argument to various courts. If they prevail, then there will be no one in charge of enforcing federal labor law. Yes, this will let these companies go on ruining their workers' lives, but more importantly, it will give carte blanche to every other employer in the land. At one end of this process is a boss who doesn't want to recognize a union – and at the other end are farmers dying of heat-stroke.

The right wing coalition that has put this demand before the court has all sorts of demands, from forced birth to (I kid you not), the end of recreational sex:

https://www.lawyersgunsmoneyblog.com/2024/02/getting-rid-of-birth-control-is-a-key-gop-agenda-item-for-the-second-trump-term

That coalition is backed by ultra-rich monopolists who want wreck the nation that their rank-and-file useful idiots want to wreck your body. These are the monopoly cheerleaders who gave us the abomination that is the Pharmacy Benefit Manager – a useless intermediary that gets to screw patients and pharmacists – and then let PBMs consolidate and merge with pharmacy monopolists.

One such inbred colossus is Change Healthcare, a giant PBM that is, in turn, a mere tendril of United Healthcare, which merged the company with Optum. The resulting system – held together with spit and wishful thinking – has access to the health records of a third of Americans and processes 15 billion prescriptions per day.

Or rather, it did process that amount – until the all-your-eggs-in-one-badly-maintained basket strategy failed on Wednesday, and Change's systems went down due to an unspecified "cybersecurity incident." In the short term, this meant that tens of millions of Americans who tried to refill their prescriptions were told to either pay cash or come back later (if you don't die first). That was the first shoe dropping. The second shoe is the medical records of a third of the country.

Don't worry, I'm sure those records are fine. After all, nothing says security like "merging several disparate legacy IT systems together while simultaneously laying off half your IT staff as surplus to requirements and an impediment to extracting a special dividend for the private equity owners who are, of course, widely recognized as the world's greatest information security practitioners."

Look, not everything is terrible. Some computers are actually getting better. Framework's user-serviceable, super-rugged, easy-to-repair, powerful laptops are the most exciting computers I've ever owned – or broken:

https://pluralistic.net/2022/11/13/graceful-failure/#frame

Now you can get one for $500!

https://frame.work/blog/first-framework-laptop-16-shipments-and-a-499-framework

And the next generation is turning our surprisingly well, despite all our worst efforts. My kid – now 16! – and I just launched our latest joint project, "The Sushi Chronicles," a small website recording our idiosyncratic scores for nearly every sushi restaurant in Burbank, Glendale, Studio City and North Hollywood:

https://sushichronicles.org/

This is the record of two years' worth of Daughter-Daddy sushi nights that started as a way to get my picky eater to try new things and has turned into the highlight of my week. If you're in the area and looking for a nice piece of fish, give it a spin (also, we belatedly realized that we've never reviewed our favorite place, Kuru Kuru in the CVS Plaza on North Hollywood Way – we'll be rectifying that soon).

And yes, we have a lavishly corrupt Supreme Court, but at least now everyone knows it. Glenn Haumann's even set up a Gofundme to raise money to bribe Clarence Thomas (now deleted, alas):

https://www.gofundme.com/f/pzhj4q-the-clarence-thomas-signing-bonus-fund-give-now

The funds are intended as a "signing bonus" in the event that Thomas takes up John Oliver on his offer of a $2.4m luxury RV and $1m/year for life if he'll resign from the court:

https://www.youtube.com/watch?v=GE-VJrdHMug

This is truly one of Oliver's greatest bits, showcasing his mastery over the increasingly vital art of turning abstruse technical issues into entertainment that negates the performative complexity used by today's greatest villains to hide their misdeeds behind a Shield of Boringness (h/t Dana Clare).

The Bezzle is my contribution to turning abstruse scams into a high-impact technothriller that pierces that Shield of Boringness. The key to this is to master exposition, ignoring the (vastly overrated) rule that one must "show, not tell." Good exposition is hard to do, but when it works, it's amazing (as anyone who's read Neal Stephenson's 1,600-word explanation of how to eat Cap'n Crunch cereal in Cryptonomicon can attest). I wrote about this for Mary Robinette Kowal's "My Favorite Bit" this week:

https://maryrobinettekowal.com/journal/my-favorite-bit/my-favorite-bit-cory-doctorow-talks-about-the-bezzle/

Of course, an undisputed master of this form is Adam Conover, whose Adam Ruins Everything show helped invent it. Adam is joining me on stage in LA tomorrow night at Vroman's at 5:30PM, to host me in a book-tour event for my novel The Bezzle:

https://www.vromansbookstore.com/Cory-Doctorow-discusses-The-Bezzle

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/2024/02/23/gazeteer/#out-of-cycle

Image: Peter Craven (modified) https://commons.wikimedia.org/wiki/File:Aggregate_output_%287637833962%29.jpg

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

[blackobsidianmystic]

Who is Selene?

In Greek and Roman mythology, Selene is the goddess of the moon:

Who she is:

Selene is the daughter of the Titans Hyperion and Theia, and the sister of Helios, the sun god, and Eos, the goddess of dawn. She is also known as Mene.

What she does:

Selene is often depicted driving a chariot drawn by winged horses across the night sky, with the moon on her head.

Who she loves:

Selene had many lovers, including Zeus, Pan, and the mortal Endymion. She and Endymion had 50 daughters.

How she is worshipped:

Selene was worshipped at the new and full moons.

Her Roman counterpart:

Selene's Roman counterpart is Luna.

How she is associated with other goddesses:

Selene is often associated with the goddesses Artemis and Hecate, but only Selene was considered the personification of the moon.

Why she doesn't have a temple:

Unlike other major Greek goddesses, Selene didn't have her own temple sites because she could be seen from almost everywhere.

🌘🌖🌕🌔🌒

[artistformerlyknownasbutttrumpet]

no i don't want to use your ai assistant. no i don't want your ai search results. no i don't want your ai summary of reviews. no i don't want your ai feature in my social media search bar (???). no i don't want ai to do my work for me in adobe. no i don't want ai to write my paper. no i don't want ai to make my art. no i don't want ai to edit my pictures. no i don't want ai to learn my shopping habits. no i don't want ai to analyze my data. i don't want it i don't want it i don't want it i don't fucking want it i am going to go feral and eat my own teeth stop itttt

[xanthousflame]

I love how this is the worst thing tumblr's search function has

I love how the search function on this site is absolute garbage. I can look up a post word for word and I will NEVER find it

[mykoai]

AI and Market Research: A Perfect Match for Business Growth

In the digital age, staying ahead of the competition requires more than intuition—it demands precision, speed, and adaptability. Enter AI and market research, a transformative duo reshaping how businesses gather insights, predict trends, and make data-driven decisions. This blog explores why AI and market research are a perfect match and how they contribute to sustainable business growth.

The Role of Market Research in Business Growth

Market research has long been the backbone of strategic decision-making. It helps businesses:

Understand customer preferences.

Identify market trends and opportunities.

Measure brand perception and competitive positioning.

Reduce risks by validating business decisions.

However, traditional market research methods often involve lengthy processes, manual data collection, and significant resource investment. That’s where AI steps in, revolutionizing the field.

How AI is Revolutionizing Market Research

Faster Data Collection and Analysis

AI-powered tools can analyze vast amounts of data in a fraction of the time it takes manual methods. By processing customer reviews, social media posts, and web analytics, AI delivers actionable insights in real-time, enabling businesses to respond quickly to market changes.

Enhanced Accuracy

AI minimizes human error by leveraging advanced algorithms to clean and structure data. This ensures that insights are both reliable and precise, helping businesses avoid costly mistakes.

Predictive Analytics

AI doesn’t just analyze current data—it predicts future trends. By identifying patterns in consumer behavior, market demand, and industry shifts, businesses can make proactive decisions, staying ahead of competitors.

Sentiment Analysis

Through natural language processing (NLP), AI deciphers customer sentiment from text data, such as online reviews or survey responses. This provides a deeper understanding of how customers feel about products or services, aiding in targeted improvements.

Cost Efficiency

Automating data collection and analysis reduces the need for large research teams and expensive third-party services, making market research more accessible to small and medium-sized businesses.

Applications of AI in Market Research

Customer Segmentation

AI identifies and categorizes customer groups based on demographics, behavior, and preferences, enabling businesses to tailor their marketing strategies.

Competitor Analysis

AI tools track competitors’ activities, such as pricing strategies, advertising efforts, and customer feedback, giving businesses a competitive edge.

Real-Time Trend Monitoring

AI keeps businesses informed about emerging trends in their industry, ensuring they adapt their offerings to meet changing consumer demands.

Survey Automation

AI streamlines survey creation, distribution, and analysis, providing instant feedback on customer opinions and satisfaction levels.

Real-Life Success Stories

Coca-Cola uses AI to monitor customer sentiment on social media, enabling the brand to quickly address concerns and tailor its campaigns.

Netflix leverages AI to analyze viewing habits, offering personalized recommendations that enhance customer satisfaction and retention.

Amazon utilizes AI-driven market research to refine its product offerings and optimize pricing strategies, ensuring continued dominance in e-commerce.

The Future of AI and Market Research

As AI technology evolves, its applications in market research will expand further. Innovations like voice-activated surveys, augmented reality (AR) shopping experiences, and blockchain-secured data will redefine how businesses collect and use insights.

Embracing AI and Market Research for Growth

For businesses looking to thrive in an increasingly competitive landscape, integrating AI and market research is no longer optional—it’s essential. This powerful combination not only enhances decision-making but also fosters innovation, efficiency, and customer-centricity.

By adopting AI-driven market research strategies, businesses can unlock new opportunities, strengthen their market position, and achieve long-term growth.

Is your business ready to embrace the future of market research? Let AI lead the way!

[jcmarchi]

The Tension Between Microsoft and OpenAI: What It Means for the Future of AI

New Post has been published on https://thedigitalinsider.com/the-tension-between-microsoft-and-openai-what-it-means-for-the-future-of-ai/

The Tension Between Microsoft and OpenAI: What It Means for the Future of AI

In recent years, Microsoft and OpenAI have emerged as leaders in the domain of artificial intelligence (AI), and their partnership has shaped much of the industry’s progress. Microsoft’s significant investments of nearly $14 billion since 2019 offered OpenAI access to Azure’s extensive computing resources, enabling rapid advancements in AI model development. These models have powered Microsoft’s Azure services and become part of products like Office and Bing. This brings a future where AI helps boost productivity and guides smarter business decisions.

Microsoft’s partnership with OpenAI is becoming increasingly complicated as both companies pursue different goals. OpenAI’s growing need for additional funding and computing power has led to questions about Microsoft’s role and potential stake in a more profitable, future version of OpenAI. At the same time, Microsoft has started recruiting talent from Inflection AI, a rival to OpenAI, indicating that Microsoft may be looking to diversify its AI capabilities.

Adding to the complexity, OpenAI recently opened a satellite office in Bellevue, not far from Microsoft’s headquarters. This proximity could facilitate collaboration but also make it easier for employees to move between the companies. Microsoft, meanwhile, seems focused on strengthening its internal AI projects, a strategy that could help it reduce reliance on OpenAI in the future.

While OpenAI’s CEO, Sam Altman, maintains an optimistic view, calling the partnership a “bromance,” recent developments indicate a shift toward a more competitive relationship. As both companies reassess their priorities and strategies, the nature of their collaboration remains to be determined.

The Beginning of the Microsoft-OpenAI Partnership

The partnership between Microsoft and OpenAI started with a shared goal to bring advanced AI into the business world. Microsoft recognized early on the potential of OpenAI’s models, like GPT-2 and DALL-E, to redefine business applications on a large scale. By investing significantly and offering its Azure platform, Microsoft gained an advantage over other cloud providers and strengthened its commitment to AI. With OpenAI’s language and image capabilities, Azure became a powerful tool for delivering developing AI solutions to Microsoft’s enterprise customers, enhancing its competitive stance.

For OpenAI, the collaboration meant access to the resources needed to move beyond its initial nonprofit model. Shifting to a capped-profit structure allowed OpenAI to secure large investments and focus on ambitious projects like GPT-3 and GPT-4. Microsoft’s backing gave OpenAI the computational power to go beyond the traditional limits, thus enabling rapid growth and the creation of technology that could reach the commercial market.

For Microsoft, this partnership offered a way to integrate advanced AI features into its products. OpenAI’s technology brought unique capabilities to Microsoft’s offerings in cloud computing, business intelligence, and productivity. Together, they could explore applications beyond basic machine learning, from language understanding to complex decision-making systems. However, as OpenAI began developing its commercial path, its focus started to differ from Microsoft’s, gradually turning a collaborative effort into a competitive one.

Financial and Strategic Tensions Between Microsoft and OpenAI

Initially, Microsoft’s investments in OpenAI were a win-win, as Microsoft provided essential resources for OpenAI’s growth, while OpenAI’s innovations enhanced Microsoft’s products. However, OpenAI’s recent efforts for more independence have changed this dynamic, leading both companies to revisit their financial and strategic agreements.

Microsoft’s large investment came with an expectation of influence over OpenAI’s direction, especially given the scale of its support. While OpenAI operates under a capped-profit model, Microsoft anticipated a more active role through either equity or operational input. Yet, OpenAI’s desire for autonomy complicates this setup, leading both companies to seek financial guidance to manage this evolving relationship.

OpenAI’s shift toward profitability while staying committed to ethical AI also adds pressure. Balancing profitability with Microsoft’s expectations can be challenging. As OpenAI’s models gain value, Microsoft’s interest in maintaining influence grows, highlighting the fine line between OpenAI’s mission-driven approach and the commercial interests of a key investor.

The launch of SearchGPT has further intensified this tension. Microsoft had integrated OpenAI’s language models into Bing for a more interactive search experience, but SearchGPT signals OpenAI’s intent to serve users directly outside Microsoft’s ecosystem. Unlike Bing, which combines search results with AI, SearchGPT offers a more conversational and engaging experience.

This move puts OpenAI and Microsoft in direct competition. SearchGPT can challenge Bing’s market share and disrupt Microsoft’s vision for AI-powered search. While OpenAI’s independent approach aligns with its mission to bring AI directly to users, it also highlights a growing divide with Microsoft. This rivalry between Bing and SearchGPT also hints at a shift in OpenAI’s strategy toward consumer-focused applications.

By entering the search market, OpenAI is signalling a broader intent to create AI products for direct user engagement, shifting away from exclusive enterprise partnerships. This could transform AI search, attracting users who prefer interactive, AI-driven responses and pushing Bing to adjust its offerings to stay competitive.

Balancing Innovation and Exclusivity

The partnership between Microsoft and OpenAI brings together two different approaches: Microsoft favours proprietary systems, while OpenAI is moving toward open-source models. Microsoft has integrated OpenAI’s technology into its products, like Bing and Microsoft Office, creating exclusive, secure solutions that meet the needs of enterprise clients, especially those in regulated industries. This setup helps Microsoft offer customized, controlled AI tools, building trust with companies that prioritize security and reliability.

On the other hand, OpenAI’s commitment to open-source development is about transparency and collaboration. By making its models open, OpenAI invites developers worldwide to contribute, adapt, and benefit from the technology, which fuels faster improvements and broader accessibility. This approach encourages a steady stream of community-driven innovation and adaptability, giving OpenAI’s tools flexibility and reach beyond exclusive platforms.

However, this difference in direction also creates some tension. If OpenAI continues expanding its open-source offerings, developers and companies can access similar AI tools outside Microsoft’s Azure ecosystem, potentially lessening the exclusivity Microsoft gains through its partnership. This raises questions about how Microsoft can maintain its competitive edge and continue to deliver unique value in its collaboration with OpenAI. Finding the right balance between these open and closed approaches will be essential as the partnership evolves, combining OpenAI’s fast-moving, collaborative model with Microsoft’s secure, business-focused solutions.

What This Rift Means for the AI Industry

The changing relationship between Microsoft and OpenAI has implications beyond their partnership; it could influence the future direction of the entire AI industry. In the beginning, their collaboration set a strong example of how AI could enhance business applications, especially through Microsoft’s platforms like Azure and Office. Now, as both companies pursue different goals, the AI community and enterprise clients face a new period of uncertainty.

For companies relying on Azure’s AI tools, any shift in this partnership raises concerns about the future. If OpenAI chooses to support platforms beyond Microsoft, customers might consider alternatives like Google Cloud or Amazon Web Services, which are also advancing their own AI capabilities. OpenAI’s focus on open-source development encourages transparency and community engagement yet also brings new challenges related to data security and ethical use. Reaching a wider audience may require OpenAI to address issues like AI bias and transparency in its models, which will be crucial for maintaining its reputation as a responsible AI leader.

This situation also highlights a broader challenge of balancing commercial growth with ethical responsibility. As OpenAI transitioned from a nonprofit to a capped-profit entity, it has faced new complexities in managing both funding and ethical standards. How Microsoft and OpenAI navigate these priorities could set important precedents for future AI collaborations as the industry watches how they balance transparency with commercial interests.

Looking ahead, several outcomes could transform their path. One possibility is a compromise, where both companies adjust their partnership terms to fit their evolving priorities better. This might involve clearer boundaries around product ownership or influence, providing stability while allowing each to pursue specific interests. Another potential outcome is a more flexible arrangement, where Microsoft continues to support OpenAI but allows it more freedom to develop open-source and consumer-focused projects. This would give OpenAI more independence while preserving some collaboration.

In a more drastic scenario, Microsoft and OpenAI could fully separate, each focusing on different markets and client needs. Such a split leads to increased competition, with both companies striving to advance AI technology on their terms. Whatever path they choose, the decision will impact the AI industry significantly, shaping how businesses and developers interact with AI tools in the future.

The Bottom Line

The changing partnership between Microsoft and OpenAI captures the current challenges and opportunities in AI. As each company defines its path—Microsoft focusing on exclusive, enterprise-centered solutions and OpenAI pushing for open-source, accessible innovation—their relationship highlights a growing divide between control and openness in AI development. These choices will impact businesses, developers, and users alike. Whether they choose to collaborate, compete, or find a middle ground, Microsoft and OpenAI’s next moves are likely to shape the future of AI, influencing how we interact with and benefit from this powerful technology.

[galtechlearninghub]

ChatGPT vs. Google Search: Is AI the Future of Search? 🤔

Discover how ChatGPT is changing the game and challenging Google's dominance in the search engine world! 🤖🔍

In this blog post, we dive deep into:

The strengths and weaknesses of both search engines

How AI is revolutionizing the way we find information

The future of search and what it holds for us

Read more and let us know your thoughts in the comments! 👇

[ginbenci]

good lord this thing is useless

[blackobsidianmystic]

Who is Artemis?

In Greek mythology, Artemis is the goddess of the hunt, wild animals, nature, vegetation, chastity, childbirth, and care of children. She is the daughter of Zeus and Leto, and the twin sister of Apollo.

Here are some other facts about Artemis:

Symbols

Artemis' symbols include the bow and arrow, the hunting dog, the stag, and the moon.

Patron

Artemis was the patron of girls and young women, and a protectress during childbirth.

Roman equivalent

Artemis' Roman equivalent is Diana.

Temple

Artemis' most famous cult site was the Temple of Artemis at Ephesus, one of the Seven Wonders of the Ancient World.

Character

Artemis was unmarried and never had children. She asked her father for permission to remain a virgin.

Hunting

Artemis was a fierce and skilled hunter, and she protected game, especially the young.

Festivals

Artemis was worshipped at festivals, which often included celebrations by girls and women.

🌗🌗🌗🌓🌓🌓