#ai development company california

[ai-development-solutions]

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[techsolutions-world]

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[techerasworld]

AI in Mobile App Development | Protonshub Technologies

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[techsolutionsworld]

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[technovation]

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[jcmarchi]

OpenAI enhances AI safety with new red teaming methods

New Post has been published on https://thedigitalinsider.com/openai-enhances-ai-safety-with-new-red-teaming-methods/

OpenAI enhances AI safety with new red teaming methods

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A critical part of OpenAI’s safeguarding process is “red teaming” — a structured methodology using both human and AI participants to explore potential risks and vulnerabilities in new systems.

Historically, OpenAI has engaged in red teaming efforts predominantly through manual testing, which involves individuals probing for weaknesses. This was notably employed during the testing of their DALL·E 2 image generation model in early 2022, where external experts were invited to identify potential risks. Since then, OpenAI has expanded and refined its methodologies, incorporating automated and mixed approaches for a more comprehensive risk assessment.

“We are optimistic that we can use more powerful AI to scale the discovery of model mistakes,” OpenAI stated. This optimism is rooted in the idea that automated processes can help evaluate models and train them to be safer by recognising patterns and errors on a larger scale.

In their latest push for advancement, OpenAI is sharing two important documents on red teaming — a white paper detailing external engagement strategies and a research study introducing a novel method for automated red teaming. These contributions aim to strengthen the process and outcomes of red teaming, ultimately leading to safer and more responsible AI implementations.

As AI continues to evolve, understanding user experiences and identifying risks such as abuse and misuse are crucial for researchers and developers. Red teaming provides a proactive method for evaluating these risks, especially when supplemented by insights from a range of independent external experts. This approach not only helps establish benchmarks but also facilitates the enhancement of safety evaluations over time.

The human touch

OpenAI has shared four fundamental steps in their white paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” to design effective red teaming campaigns:

Composition of red teams: The selection of team members is based on the objectives of the campaign. This often involves individuals with diverse perspectives, such as expertise in natural sciences, cybersecurity, and regional politics, ensuring assessments cover the necessary breadth.

Access to model versions: Clarifying which versions of a model red teamers will access can influence the outcomes. Early-stage models may reveal inherent risks, while more developed versions can help identify gaps in planned safety mitigations.

Guidance and documentation: Effective interactions during campaigns rely on clear instructions, suitable interfaces, and structured documentation. This involves describing the models, existing safeguards, testing interfaces, and guidelines for recording results.

Data synthesis and evaluation: Post-campaign, the data is assessed to determine if examples align with existing policies or require new behavioural modifications. The assessed data then informs repeatable evaluations for future updates.

A recent application of this methodology involved preparing the OpenAI o1 family of models for public use—testing their resistance to potential misuse and evaluating their application across various fields such as real-world attack planning, natural sciences, and AI research.

Automated red teaming

Automated red teaming seeks to identify instances where AI may fail, particularly regarding safety-related issues. This method excels at scale, generating numerous examples of potential errors quickly. However, traditional automated approaches have struggled with producing diverse, successful attack strategies.

OpenAI’s research introduces “Diverse And Effective Red Teaming With Auto-Generated Rewards And Multi-Step Reinforcement Learning,” a method which encourages greater diversity in attack strategies while maintaining effectiveness.

This method involves using AI to generate different scenarios, such as illicit advice, and training red teaming models to evaluate these scenarios critically. The process rewards diversity and efficacy, promoting more varied and comprehensive safety evaluations.

Despite its benefits, red teaming does have limitations. It captures risks at a specific point in time, which may evolve as AI models develop. Additionally, the red teaming process can inadvertently create information hazards, potentially alerting malicious actors to vulnerabilities not yet widely known. Managing these risks requires stringent protocols and responsible disclosures.

While red teaming continues to be pivotal in risk discovery and evaluation, OpenAI acknowledges the necessity of incorporating broader public perspectives on AI’s ideal behaviours and policies to ensure the technology aligns with societal values and expectations.

See also: EU introduces draft regulatory guidance for AI models

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: ai, artificial intelligence, development, ethics, openai, red teaming, safety, Society

[algoson]

For businesses in Portugal, Lisbon, seeking excellent software development services that prioritize both quality and cost-effectiveness, Algoson Software is your ideal partner. Based in India, we serve clients worldwide, including in the USA, Canada, Germany, Italy, and France. Get in touch with us at contact@algoson.com to discover how we can enhance your digital journey.

[reasonsforhope]

Green energy is in its heyday. 

Renewable energy sources now account for 22% of the nation’s electricity, and solar has skyrocketed eight times over in the last decade. This spring in California, wind, water, and solar power energy sources exceeded expectations, accounting for an average of 61.5 percent of the state's electricity demand across 52 days. 

But green energy has a lithium problem. Lithium batteries control more than 90% of the global grid battery storage market. 

That’s not just cell phones, laptops, electric toothbrushes, and tools. Scooters, e-bikes, hybrids, and electric vehicles all rely on rechargeable lithium batteries to get going. 

Fortunately, this past week, Natron Energy launched its first-ever commercial-scale production of sodium-ion batteries in the U.S. 

“Sodium-ion batteries offer a unique alternative to lithium-ion, with higher power, faster recharge, longer lifecycle and a completely safe and stable chemistry,” said Colin Wessells — Natron Founder and Co-CEO — at the kick-off event in Michigan. 

The new sodium-ion batteries charge and discharge at rates 10 times faster than lithium-ion, with an estimated lifespan of 50,000 cycles.

Wessells said that using sodium as a primary mineral alternative eliminates industry-wide issues of worker negligence, geopolitical disruption, and the “questionable environmental impacts” inextricably linked to lithium mining. 

“The electrification of our economy is dependent on the development and production of new, innovative energy storage solutions,” Wessells said. 

Why are sodium batteries a better alternative to lithium?

The birth and death cycle of lithium is shadowed in environmental destruction. The process of extracting lithium pollutes the water, air, and soil, and when it’s eventually discarded, the flammable batteries are prone to bursting into flames and burning out in landfills. 

There’s also a human cost. Lithium-ion materials like cobalt and nickel are not only harder to source and procure, but their supply chains are also overwhelmingly attributed to hazardous working conditions and child labor law violations. 

Sodium, on the other hand, is estimated to be 1,000 times more abundant in the earth’s crust than lithium. 

“Unlike lithium, sodium can be produced from an abundant material: salt,” engineer Casey Crownhart wrote ​​in the MIT Technology Review. “Because the raw ingredients are cheap and widely available, there’s potential for sodium-ion batteries to be significantly less expensive than their lithium-ion counterparts if more companies start making more of them.”

What will these batteries be used for?

Right now, Natron has its focus set on AI models and data storage centers, which consume hefty amounts of energy. In 2023, the MIT Technology Review reported that one AI model can emit more than 626,00 pounds of carbon dioxide equivalent. 

“We expect our battery solutions will be used to power the explosive growth in data centers used for Artificial Intelligence,” said Wendell Brooks, co-CEO of Natron. 

“With the start of commercial-scale production here in Michigan, we are well-positioned to capitalize on the growing demand for efficient, safe, and reliable battery energy storage.”

The fast-charging energy alternative also has limitless potential on a consumer level, and Natron is eying telecommunications and EV fast-charging once it begins servicing AI data storage centers in June. 

On a larger scale, sodium-ion batteries could radically change the manufacturing and production sectors — from housing energy to lower electricity costs in warehouses, to charging backup stations and powering electric vehicles, trucks, forklifts, and so on. 

“I founded Natron because we saw climate change as the defining problem of our time,” Wessells said. “We believe batteries have a role to play.”

-via GoodGoodGood, May 3, 2024

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Note: I wanted to make sure this was legit (scientifically and in general), and I'm happy to report that it really is! x, x, x, x

[mariacallous]

In March 2007, Google’s then senior executive in charge of acquisitions, David Drummond, emailed the company’s board of directors a case for buying DoubleClick. It was an obscure software developer that helped websites sell ads. But it had about 60 percent market share and could accelerate Google’s growth while keeping rivals at bay. A “Microsoft-owned DoubleClick represents a major competitive threat,” court papers show Drummond writing.

Three weeks later, on Friday the 13th, Google announced the acquisition of DoubleClick for $3.1 billion. The US Department of Justice and 17 states including California and Colorado now allege that the day marked the beginning of Google’s unchecked dominance in online ads—and all the trouble that comes with it.

The government contends that controlling DoubleClick enabled Google to corner websites into doing business with its other services. That has resulted in Google allegedly monopolizing three big links of a vital digital advertising supply chain, which funnels over $12 billion in annual revenue to websites and apps in the US alone.

It’s a big amount. But a government expert estimates in court filings that if Google were not allegedly destroying its competition illegally, those publishers would be receiving up to an additional hundreds of millions of dollars each year. Starved of that potential funding, “publishers are pushed to put more ads on their websites, to put more content behind costly paywalls, or to cease business altogether,” the government alleges. It all adds up to a subpar experience on the web for consumers, Colorado attorney general Phil Weiser says.

“Google is able to extract hiked-up costs, and those are passed on to consumers,” he alleges. “The overall outcome we want is for consumers to have more access to content supported by advertising revenue and for people who are seeking advertising not to have to pay inflated costs.”

Google disputes the accusations.

Starting today, both sides’ arguments will be put to the test in what’s expected to be a weekslong trial before US district judge Leonie Brinkema in Alexandria, Virginia. The government wants her to find that Google has violated federal antitrust law and then issue orders that restore competition. In a best-case scenario, according to several Google critics and experts in online ads who spoke with WIRED, internet users could find themselves more pleasantly informed and entertained.

It could take years for the ad market to shake out, says Adam Heimlich, a longtime digital ad executive who’s extensively researched Google. But over time, fresh competition could lower supply chain fees and increase innovation. That would drive “better monetization of websites and better quality of websites,” says Heimlich, who now runs AI software developer Chalice Custom Algorithms.

Tim Vanderhook, CEO of ad-buying software developer Viant Technology, which both competes and partners with Google, believes that consumers would encounter a greater variety of ads, fewer creepy ads, and pages less cluttered with ads. “A substantially improved browsing experience,” he says.

Of course, all depends on the outcome of the case. Over the past year, Google lost its two other antitrust trials—concerning illegal search and mobile app store monopolies. Though the verdicts are under appeal, they’ve made the company’s critics optimistic about the ad tech trial.

Google argues that it faces fierce competition from Meta, Amazon, Microsoft, and others. It further contends that customers benefited from each of the acquisitions, contracts, and features that the government is challenging. “Google has designed a set of products that work efficiently with each other and attract a valuable customer base,” the company’s attorneys wrote in a 359-page rebuttal.

For years, Google publicly has maintained that its ad tech projects wouldn’t harm clients or competition. “We will be able to help publishers and advertisers generate more revenue, which will fuel the creation of even more rich and diverse content on the internet,” Drummond testified in 2007 to US senators concerned about the DoubleClick deal’s impact on competition and privacy. US antitrust regulators at the time cleared the purchase. But at least one of them, in hindsight, has said he should have blocked it.

Deep Control

The Justice Department alleges that acquiring DoubleClick gave Google “a pool of captive publishers that now had fewer alternatives and faced substantial switching costs associated with changing to another publisher ad server.” The global market share of Google’s tool for publishers is now 91 percent, according to court papers. The company holds similar control over ad exchanges that broker deals (around 70 percent) and tools used by advertisers (85 percent), the court filings say.

Google’s dominance, the government argues, has “impaired the ability of publishers and advertisers to choose the ad tech tools they would prefer to use and diminished the number and quality of viable options available to them.”

The government alleges that Google staff spoke internally about how they have been earning an unfair portion of what advertisers spend on advertising, to the tune of over a third of every $1 spent in some cases.

Some of Google’s competitors want the tech giant to be broken up into multiple independent companies, so each of its advertising services competes on its own merits without the benefit of one pumping up another. The rivals also support rules that would bar Google from preferencing its own services. “What all in the industry are looking for is fair competition,” Viant’s Vanderhook says.

If Google ad tech alternatives win more business, not everyone is so sure that the users will notice a difference. “We’re talking about moving from the NYSE to Nasdaq,” Ari Paparo, a former DoubleClick and Google executive who now runs the media company Marketecture, tells WIRED. The technology behind the scenes may shift, but the experience for investors—or in this case, internet surfers—doesn’t.

Some advertising experts predict that if Google is broken up, users’ experiences would get even worse. Andrey Meshkov, chief technology officer of ad-block developer AdGuard, expects increasingly invasive tracking as competition intensifies. Products also may cost more because companies need to not only hire additional help to run ads but also buy more ads to achieve the same goals. “So the ad clutter is going to get worse,” Beth Egan, an ad executive turned Syracuse University associate professor, told reporters in a recent call arranged by a Google-funded advocacy group.

But Dina Srinivasan, a former ad executive who as an antitrust scholar wrote a Stanford Technology Law Review paper on Google’s dominance, says advertisers would end up paying lower fees, and the savings would be passed on to their customers. That future would mark an end to the spell Google allegedly cast with its DoubleClick deal. And it could happen even if Google wins in Virginia. A trial in a similar lawsuit filed by Texas, 15 other states, and Puerto Rico is scheduled for March.

[mindblowingscience]

Being able to create accurate weather models for weather forecasting is essential for every aspect of the American economy, from aviation to shipping. To date, weather models have been primarily based on equations related to thermodynamics and fluid dynamics in the atmosphere. These models are tremendously computationally expensive and are typically run on large supercomputers. Researchers from private sector companies like Nvidia and Google have started developing large artificial intelligence (AI) models, known as foundation models, for weather forecasting. Recently, scientists at the U.S. Department of Energy's (DOE) Argonne National Laboratory, in close collaboration with researchers Aditya Grover and Tung Nguyen at the University of California, Los Angeles, have begun to investigate this alternative type of model. This model could produce in some cases even more accurate forecasts than the existing numerical weather prediction models at a fraction of the computational cost.

Continue Reading.

[1americanconservative]

Tom and Stacey Siebel are behind the event in Woodside, part of the Bay Area. Tom, a billionaire software developer, runs C3.ai, an AI software company. He’s also a distant relative of Jennifer Siebel Newsom, Gavin Newsom’s wife.

Siebel has given a lot of money to Trump’s 2024 campaign and PACs backing him, according to reports. It’s in the hundreds of thousands.

[duchessofvastergotland]

The schedule for Crown Princess Victoria and Prince Daniel's visit to California

19th February

Visit to the Marine Mammal Center to learn about their work to protect the oceans through research, education and animal care

Visit to the Scandinavian School and Cultural Centre to meet with students studying Scandinavian language and culture.

Afternoon reception for Swedish people living in the San Francisco Bay Area

20th February

Meeting with California Governor Gavin Newsom ahead of the signing of a cooperation agreement on the green transition

Visit to the Consulate General's office to meet staff and tour the premises

Briefing on driverless cars, a new element in the cityscape of San Francisco

Visit Open AI to learn about the latest developments in artificial intelligence

Meeting with the Mayor of San Francisco at City Hall.

Inauguration of the Consulate General of Sweden by the Crown Princess at the San Francisco Conservatory of Music

21st February

Company visits with the Swedish business delegation - the couple will visit a range of businesses in San Francisco including Intel and Google to discuss the development of AI

Visit to Stanford University for an in-depth look at the ethical aspects of AI

22nd February

Seminar at Nordic Innovation House to discuss cooperation between Sweden and California

Participation in the Green Transition Summit where the Crown Princess will give a speech

[techerasworld]

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[denimbex1986]

'Oppenheimer director Christopher Nolan has said he "absolutely" will not work on another film until the Hollywood strikes are resolved.

Tens of thousands of Hollywood actors have joined writers in taking industrial action, because they want streaming giants to agree to a fairer split of profits and better working conditions.

The Screen Actors Guild also wants to protect actors from being usurped by digital replicas.

Nolan admitted he was "very fortunate with the timing", as his film's premieres were held just before the strike began, meaning Oppenheimer would not be affected by industry members stopping work.

When asked if he would write another film during the strike, he told BBC Culture editor Katie Razzall: "No, absolutely. It's very important that everybody understands it is a very key moment in the relationship between working people and Hollywood.

"This is not about me, this is not about the stars of my film," the acclaimed director, writer and producer added.

"This is about jobbing actors, this is about staff writers on television programmes trying to raise a family, trying to keep food on the table."

As more production companies use streaming platforms - like Netflix and Amazon Prime - for their shows, it has changed how actors and writers get paid.

Previously every time an episode was re-run on a TV network, it would tend to involve payment, allowing those who worked on projects to get by in between jobs.

The director said the companies involved had not yet "accommodated how they're going to in this new world of streaming, and a world where they're not licensing their products out to other broadcasters - they're keeping them for themselves".

Nolan, who was Oscar-nominated five times for the films Dunkirk, Inception and Memento, added: "They have not yet offered to pay appropriately to the unions' working members, and it's very important that they do so.

"I think you'd never want a strike, you never want industrial action.

"But there are times where it's necessary. This is one of those times."

Speaking ahead of the London premiere, where several of Oppenheimer's stars left the red carpet early to strike, he explained: "It's very important to bear in mind that there are people who have been out of work for months now, as part of the writers strike, and with the actors potentially joining - a lot of people are going to suffer."

Despite the row in California, British-born Nolan has no current plans to work more in the UK, his home country, as he prefers to be "on the real locations" where his films are set.

"The UK has wonderful film studios," he explained. "It's a great place to come to shoot a film if you're going to be on sound stages."

Oppenheimer tells the story of J Robert Oppenheimer, the enigmatic Manhattan Project scientist, who had a leading role in developing the atomic bomb that made him a "destroyer of worlds".

He "gave us the power to destroy ourselves and that had never happened before", Nolan said.

Commissioned by the US Government during World War II, and believing themselves in a nuclear race with the Nazis over who would create the bomb first, in 1945 scientists in Los Alamos, New Mexico detonated a test bomb, codenamed Trinity.

Their invention was then used, controversially, to end the war, dropped on Hiroshima and Nagasaki to devastating effect.

The film is an exploration not just of Oppenheimer's story, but of the "incredible decision" the scientists took on that first occasion.

"There's a possibility that when you push that button, you might destroy the entire world," Nolan told the BBC.

"And yet they went ahead and they pushed it. How could you make that decision? How could you take that on yourself?"

Another existential threat to civilization is AI, which is also part of the Hollywood strike and makes the Oppenheimer movie more timely.

"One of the interesting things about putting this film out is it's coming at a time when there are a lot of new technologies that people start to worry about the unintended consequences," he said.

"When you talk to leaders in the field of AI, as I do from time to time, they see this moment right now as their Oppenheimer moment. They're looking to his story to say, 'what are our responsibilities? How can we deal with the potential unintended consequences?' Sadly, for them, there are no easy answers."

Nolan is one of a rare number of Hollywood directors. His films - Interstellar, the Dark Knight Trilogy, Inception amongst them - are both blockbusters and arthouse fare; critically acclaimed and, Tenet aside, which was released during the pandemic, box office successes.

"I make the films that I really want to go to the cinema and sit down with my popcorn and watch" he says. "I started making films when I was a kid. I made Super 8 films from when I was seven or eight years old and I've never stopped".

He's a champion of the big screen who, famously, left Warner Bros for rival Universal to make Oppenheimer.

Nolan's known for wanting his films to feel authentic rather than computer-generated.

There was even a rumour doing the rounds on the internet that he had set off a real atomic bomb in New Mexico for Oppenheimer.

"We recreated the circumstances of it," he said, "obviously not using an atomic weapon. What we're trying to portray is this moment of absolute beauty and absolute terror.

"This is the moment that really changed the world."'

[technovation]

Artificial Intelligence Development Company USA | Protonshub Technologies

Protonshub is a top notch artificial intelligence development company in the USA.  They offer advanced AI development services that help businesses to automate their operations smoothly. The generative AI can transform your business and drive growth to the next level, Protonshub crafts high-performing AI web & applications using NLP & Machine Learning. Drop an email: digital@protonshub.com to know more.

[jcmarchi]

Salesforce launches AI platform for automated task management

New Post has been published on https://thedigitalinsider.com/salesforce-launches-ai-platform-for-automated-task-management/

Salesforce launches AI platform for automated task management

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Business Insider’s “CXO AI Playbook” looks at how firms are utilising AI to tackle challenges, scale operations, and plan for the future.

The Playbook looks at stories from various industries to see what problems AI is solving, who’s driving these initiatives, and how it’s reshaping strategies.

Salesforce, well known for its CRM software used by over 150,000 companies like Amazon and Walmart, is no stranger to innovation. It also owns Slack, the popular workplace communication app. Salesforce is now stepping up its AI game with Agentforce, a platform that lets businesses to build and deploy digital agents to automate tasks such as creating sales reports and summarising Slack conversations.

What problem is it solving?

Salesforce has been working with AI for years. In 2016, it launched Einstein, an AI feature baked into its CRM platform. Einstein handled basic scriptable tasks, but the rise of generative AI brought a chance to do more. Smarter tools could now make better decisions and understand natural language.

This sparked a transformation. First came Einstein GPT, then Einstein Copilot, and now Agentforce—a platform designed for flexibility with prebuilt and customisable agents to handle diverse business needs.

“Our customers wanted more. Some wanted to tweak the agents we offer, while others wanted to create their own,” said Tyler Carlson, Salesforce’s VP of Business Development.

The tech behind it

Agentforce is powered by Salesforce’s Atlas Reasoning Engine, developed in-house. The platform connects with AI models from major players like OpenAI, Anthropic, Amazon, and Google, giving businesses access to a variety of tools.

Slack has become a testing ground for these AI agents. Currently in beta, Agentforce’s Slack integration puts automations where employees already spend their time. “Slack makes these tools easy to use and accessible,” Carlson added.

Smarter, more flexible AI

Agentforce uses ReAct prompting, a technique that helps agents break down problems into smaller steps and adjust their approach as they go. This leads to more accurate responses and hands-off task management, from answering questions to scheduling meetings.

Agentforce works with Salesforce’s proprietary LLMs and third-party models, giving clients plenty of options. To ensure security, Salesforce enforces strict data privacy policies, including limits on data retention.

Making it work for businesses

With tools like Agentbuilder, companies can design AI agents tailored to their needs. For example, an agent could sort emails or answer specific HR questions using internal data. One example is Salesforce’s collaboration with Workday to create an AI service agent for employee queries.

Salesforce is already seeing results, with Agentforce resolving 90% of customer inquiries in early trials. The goal? Broader adoption, more capabilities, and higher workloads handled by these agents.

“We’re building a bigger ecosystem of partners and skills,” Carlson said. “By next year, we want Agentforce to be a must-have for businesses.”

(Photo by Unsplash)

See also: Paul O’Sullivan, Salesforce: Transforming work in the GenAI era

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: ai, gpt, salesforce