Three former OpenAI employees say they have been fired due to their efforts to ensure the safety of artificial intelligence. The trio warned of a "chilling" effect on other staff concerned about the frontier technology's risks. "I believe we were fired for prioritizing safety over the near-term interests of OpenAI as a corporation," Balesni said in a post on X. Korbak expressed a similar sentiment, expressing his belief that he had been terminated for raising concerns that OpenAI was "losing the ability to monitor what AI agents think, one of our best tools for catching when they misbehave". In an open letter published in tandem with their social media posts, Balesni, Korbak and Wang expressed concerns that their dismissal would make their former colleagues "afraid to speak and operate in ways that, until last week, were an integral part of working at OpenAI". "We could raise safety concerns and disagree openly, and were encouraged to draw on the expertise of independent safety organizations," they said in the letter. "This is part of what made OpenAI special, and why we are immensely proud to have been part of the team."

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Mashable Selects In My Bag Look Up Say More AI at School Safety Net Versus Trending Now Back to School Good Connection: Uplifting stories for a digital age All Series The voluntary accord lays out four layers of safety controls, while leaving companies to decide how and whether to enforce them. Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way. He has a Master's in Journalism from the University of North Texas and is a proud orange cat father. His writing has also appeared in PC Mag and . The White House has a new name for artificial intelligence and a new promise for the future of Super Intelligence.

Donald Trump speaks during a meeting with technology executives about artificial intelligence at the White House in Washington DC on Tuesday. Donald Trump speaks during a meeting with technology executives about artificial intelligence at the White House in Washington DC on Tuesday. 'President of the Unites States': White House's AI accord includes spelling error The White House misspelled "United States" under the signature of Donald Trump on an accord he signed with AI executives on Tuesday. At the bottom of the accord on "Super Intelligence", the term Trump has used to rebrand artificial intelligence, the president's signature appeared as "President of the Unites States". It is unclear how the misspelling occurred or whether it will appear in the Federal Register, the database that contains official presidential actions and other government documents.

OpenAI launches'dots,' personal AI assistant'built to handle everything' Share OpenAI launches'dots,' personal AI assistant'built to handle everything' on social media OpenAI has launched an "always-on" personal AI assistant designed to manage tasks ranging from restaurant bookings to website design. The AI giant's release of "dots" on Tuesday marked the latest addition to the growing field of virtual assistants billed as a solution for busy people wishing to cut down on their hectic workloads. In its announcement of the release, OpenAI said dots were "built to handle everything", with each personal agent capable of working on a user's goals autonomously around the clock. "The magic of dots is when they bring you work done the way you would do it, sometimes before you even think to ask," the San Francisco-based company said. "With dots alongside you, ambitious ideas and projects you haven't had the time or support to pursue start to feel achievable."

United States President Donald Trump and top tech executives have signed an accord to "self-police" artificial intelligence, as calls grow for more guardrails to mitigate risks associated with the technology's rapid growth. Trump announced the accord on Tuesday after meeting with a large group of AI company leaders at the White House. The accord - which Trump posted on his Truth Social platform - said the companies would implement "robust internal controls", partner with an "independent external auditor" to assess whether the controls were working, and set up a committee among each company's board of directors to evaluate reports from internal and external auditors. The companies also said they would work to ensure their AI tools do not "hack or access technical systems in unintended ways". "Over time, it may make sense to codify these steps into laws and regulations," the accord said.

Former Israeli Amb. to the U.S. Michael Oren discusses Iran's nuclear capabilities and negotiations with Hamas to release more hostages on'Fox Report.' The idea that Middle East peace cannot and should not advance without a formal agreement between Israel and the Palestinian Authority is outdated and demonstrably untrue. Indeed, it has done little but exacerbate conflict over the last 30 years and undermine U.S. interests in the region. They provide a new paradigm for peace between Israel and all of its neighbors, including the Palestinians. President Donald Trump obviously deserves the Nobel Peace Prize for breaking with the failed Oslo peace process paradigm still sanctified by legacy media and a bipartisan community of foreign policy elites, and for building new bridges of mutually-beneficial cooperation between Israel and its Arab neighbors.

Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, yet their direct application to NP-hard combinatorial problems (CPs) remains underexplored. In this work, we systematically investigate the reasoning abilities of LLMs on a variety of NP-hard combinatorial optimization tasks and introduce ACCORD: Autoregressive Constraint-satisfying generation for COmbinatorial optimization with Routing and Dynamic attention. ACCORD features a novel dataset representation and model architecture that leverage the autoregressive nature of LLMs to dynamically enforce feasibility constraints, coupled with attention-based routing to activate problem-specific LoRA modules. We also present the ACCORD-90k supervised dataset, covering six NP-hard combinatorial problems: TSP, VRP, Knapsack, FlowShop, JSSP, and BinPacking. Extensive experiments demonstrate that our ACCORD model, built on an 8B-parameter Llama backbone, consistently outperforms standard prompting and input-output methods, even when compared to much larger LLMs, such as gpt-4. Ablation studies further show that our output structure enhances solution feasibility. To the best of our knowledge, this is the first large-scale, end-to-end framework for exploring the applications of LLMs to a broad spectrum of combinatorial optimization problems. The codes are publicly available at https://github.com/starjob42/ACCORD

Major technology companies signed a pact Friday to voluntarily adopt "reasonable precautions" to prevent artificial intelligence tools from being used to disrupt democratic elections around the world. Executives from Adobe, Amazon, Google, IBM, Meta, Microsoft, OpenAI and TikTok gathered at the Munich Security Conference to announce a new framework for how they respond to AI-generated deepfakes that deliberately trick voters. Twelve other companies – including Elon Musk's X – are also signing on to the accord. "Everybody recognizes that no one tech company, no one government, no one civil society organization is able to deal with the advent of this technology and its possible nefarious use on their own," said Nick Clegg, president of global affairs for Meta, the parent company of Facebook and Instagram, in an interview ahead of the summit. The accord is largely symbolic, but targets increasingly realistic AI-generated images, audio and video "that deceptively fake or alter the appearance, voice, or actions of political candidates, election officials, and other key stakeholders in a democratic election, or that provide false information to voters about when, where, and how they can lawfully vote".

The United States Navy announced the launch of a new joint fleet of unmanned drones in the Middle East with allied nations to patrol vast swaths of volatile waters as tensions simmer with Iran. Vice Admiral Brad Cooper, who leads the 5th Fleet, said 100 unmanned drones, both sailing and submersible, would dramatically multiply the surveillance capacities of the US Navy, allowing it to keep a close eye on waters critical to the flow of global oil and shipping. Trade at sea has been targeted in recent years as Tehran's nuclear deal with world powers collapsed. "By using unmanned systems, we can just simply see more. They're high reliability and remove the human factor," Cooper said on the sidelines of a defence exhibition in Abu Dhabi, adding the systems are "the only way to cover on whatever gaps that we have today".

Building machine learning versions could be compared to creating a house. Obviously, a hammer is a fantastic tool if you come across a nail, however it's unnecessary to use it if digging a pit. The same holds for machine learning model improvement -- there's not any"only tool to rule them all" but a comprehensive set of resources to use to fix a specific issue. Machine learning is a multidisciplinary field spanning the bounds of maths, technology, and applications development. But that is not all -- that the data scientist wants not just to be aware of the issue but to have the domain knowledge to provide a usable answer. The same is true for a builder that wants to construct a home -- not merely the understanding of placing bricks together is demanded, but also a vision of a home and the basic understanding of its objective is essential.