The company that hates ads just discovered nobody wants to buy them anyway. OpenAI projected $2.5B in 2025 ad revenue and $100B by 2030. Emarketer estimates the entire chatbot ad market—ChatGPT, Copilot, Gemini, all of them—will hit just $5.41B by 2030.
Continue reading ›
The price of building foundational AI just became a line item—and every competitor is running the same math. Anthropic settled a major copyright lawsuit for $1.5 billion, ending claims over training data usage with federal court approval
Continue reading ›
The protocol that determines whether AI agents can actually do your job is getting its first major usability overhaul. Model Context Protocol (MCP) is getting easier to implement, lowering the barrier for AI agents to securely connect to external data sources and services
Continue reading ›
The question isn't whether token costs will drop — it's who gets stuck managing the complexity when they don't.
Continue reading ›
Wall Street's biggest bank just bet $30 billion more on Google the same week its flagship AI model missed the launch window. Bank of America doubled its Alphabet stake while setting a $430 price target — 16% above current levels — ahead of Q2 earnings on July 22
Continue reading ›
Someone just trained a function-calling model smaller than a smartphone app that runs at 1200 tokens per second. Cactus Compute released Needle, a 26 million parameter model distilled from Gemini 3.1 that runs function calls on consumer devices at 6000 tok/s prefill and 1200 tok/s decode
Continue reading ›
The AI that's best at ethics is worst at making money, and that tells you everything about where this technology is actually headed.
Continue reading ›
Beijing's Kimi just went full open source, and Silicon Valley is discovering what "AI with Chinese characteristics" actually means. Moonshot AI released Kimi's latest model as fully open source, no usage restrictions, trained on state-backed compute
Continue reading ›
Google just made your AI budget smaller without changing the price. Google overhauled how it counts Gemini usage, shifting from a per-query model to token-based metering that tracks both input and output
Continue reading ›
When your billion-user product becomes unusable and your fix is just "we made it slightly less unusable," that's not iteration—that's a company that doesn't know what it built.
Continue reading ›
The man who called crypto "rat poison squared" just put $31 billion into the company racing to build AI agents that could replace human analysts. Berkshire Hathaway disclosed a $31 billion stake in Alphabet, with Warren Buffett claiming the company will outperform 95% of Wall Street picks
Continue reading ›
Google's DeepMind just learned what every veteran data scientist already knows: when you can't measure intelligence, you measure who's best at gaming your metrics.
Continue reading ›
The company building the most advanced AI on earth just asked for a referee. DeepMind CEO Demis Hassabis unveiled a proposal for an international AI watchdog to conduct "rigorous" tests and reviews of cutting-edge models before public release
Continue reading ›
The world's largest open-source AI model just dropped from Beijing, and it's free to use right now—while America's frontier labs are still charging by the token.
Continue reading ›
The company that gave us "move fast and break things" just chose slow and maybe-broken instead. Google has delayed Gemini 3.5 Pro by months, missing internal targets because the model isn't good enough at coding
Continue reading ›
Google just turned every knowledge worker into a video producer, whether they like it or not. Google Vids now includes Gemini Omni and personal avatars, letting users create, edit, and star in videos without traditional filming or editing skills
Continue reading ›
Google just killed a brand people actually remembered, and that might be the whole point. Google is rebranding NotebookLM to Gemini Notebook, keeping it as a standalone app while tying it closer to Gemini and Search
Continue reading ›
The era of raising on PowerPoint and pedigree just jumped to absurd new heights—or exposed how broken early-stage AI funding has become. Former DeepMind researcher Andrew Dai raised a $300M pre-seed valuation before shipping a product, betting on visual AI as the next frontier
Continue reading ›
The CEO building AI that actually models how the world works refuses to use the words everyone else is fundraising with. Alexandre LeBrun, CEO of AMI Labs (backed by Yann LeCun), won't call his company's AI "AGI" or "superintelligence" despite building world models
Continue reading ›
The EU just turned Android into a mandatory platform for Google's AI competitors — which means Gemini is about to face real competition on its own home turf.
Continue reading ›