The companies building the agents that might run your life can't reliably tell you who's winning an election. All four major AI chatbots—ChatGPT, Gemini, Claude, and Grok—fail to accurately answer questions about elections and geopolitics, according to a new Forum AI study
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SoftBank's founder just put more money into one AI company than he lost on WeWork—and his own people are nervous. SoftBank has committed over $60 billion to OpenAI, with founder Masayoshi Son convinced Sam Altman is leading the century's most important technology shift
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The Nobel laureate's AI lab just became the first Big Tech division where workers formally voted to unionize over what their models do in the real world.
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Steel was the play everyone watched. Rare earths are the play that actually matters. Boston Metal raised $75M to pivot from clean steel to critical metals production using its molten oxide electrolysis tech
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Six months before voters head to the polls, the tools millions use to "research" candidates can't tell fact from hallucination. Four major AI chatbots (ChatGPT, Gemini, Claude, Grok) fail to accurately answer election and geopolitics questions, per Forum AI study
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The company spending billions to build artificial general intelligence just decided 8,000 people aren't efficient enough to help. Meta began notifying 8,000 employees globally of layoffs Wednesday morning, starting with Asia-Pacific staff at 4 a.m. Singapore time, followed by US workers.
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The dirty secret of AI agents isn't that small models are dumb — it's that nobody built the scaffolding to keep them from falling off the tightrope.
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The credential problem was the real moat between agents and production, and Anthropic just gave enterprises a door through it.
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OpenAI is spending a quarter-billion dollars to build AI infrastructure where the power grid works and the government actually wants you. OpenAI commits $234 million to establish an AI lab in Singapore through a multiyear partnership with the local government
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The jury said Musk lost, but the trial transcript is a road map to what breaks when you bolt a profit motive onto a safety mission.
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The man who lost $70 billion on WeWork is now betting more than that on a single AI company, and this time his own team is nervous.
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Private company valuations just became a liquid market where anyone can take a position before the insiders cash out. Polymarket launched prediction markets tracking IPO timing and valuations for private unicorns including OpenAI, Anthropic, SpaceX, Stripe, and Kraken
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The consulting industry just created its own principal-agent problem, and enterprises are about to pay for it. Google partnered with Accenture, Deloitte, and McKinsey with a $750 million fund to accelerate enterprise adoption of its AI stack.
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Google just taught the AI industry a new emotion: conference blue balls. Google delayed Gemini 3.5 Pro until next month, drawing audible groans from developers at I/O 2026 who expected the flagship model to ship immediately.
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The price of convenience has always been privacy, but Google's betting you'll finally stop caring when the AI gets good enough.
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Google just watched Anthropic's Claude and OpenAI's models eat its lunch in coding tasks for two years, and now it's finally serving a response.
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Google just turned AI image generation into a collaborative document, and that might be the thing that finally makes these tools useful for actual work.
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The jury just picked sides in a fight that will define who controls the most valuable technology on Earth. Sam Altman won the legal battle against Elon Musk, with Musk vowing to appeal after a jury verdict that caps a bitter three-week trial
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Google just killed the most absurd ritual in AI: programmers walking around with laptops cracked open so their agents don't stop working. Google launched Spark, a 24/7 AI agent that runs on Google Cloud, not your device — meaning you can actually close your laptop and the agent keeps working.
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Google just made it cheaper to run AI agents than to keep paying humans to do the same work. Google launched Gemini 3.5 Flash at I/O 2026, claiming it breaks the "iron law" that the smartest AI models must be the slowest and most expensive to run.
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