Stanford just open-sourced the lab assistant every biologist wishes they had — and it writes code to prove its own hypotheses. Stanford's SNAP lab released Biomni, a general-purpose biomedical AI agent that autonomously executes research tasks across diverse biomedical subfields
Continue reading ›
Big Tech is about to tell Wall Street whether $700 billion in AI spending is genius or the most expensive group delusion since the dot-com boom.
Continue reading ›
The fight over open-source AI isn't about research ethics anymore — it's about whether American companies can afford to compete. Chamath Palihapitiya warns a US ban on open-source AI would create a 50x cost disadvantage for American firms, crushing stock valuations
Continue reading ›
The companies racing to dominate AI just discovered a common enemy: anyone who might slow them down. Google, OpenAI, and xAI joined 25 tech companies, including Nvidia, backing an open letter urging US policymakers not to restrict open-weight AI models
Continue reading ›
The companies that spent billions building walled gardens just signed a letter begging regulators to keep the gates open.
Continue reading ›
The companies that spent billions building closed AI moats are now begging Washington not to lock the door behind them.
Continue reading ›
Meta wants to schedule your meetings and read your kids to sleep, which tells you everything about how the chatbot wars just became the assistant wars.
Continue reading ›
The biggest names in AI just drew a line in the sand, and the two companies actually winning the model race didn't sign it. 25 tech companies including Nvidia, Microsoft, Meta, and Mistral signed an open letter defending open-weight AI models, marking Jensen Huang's first-ever post on X
Continue reading ›
The hyperscalers just entered a spending arms race with money they don't have, and the market is starting to ask uncomfortable questions about who wins when everyone's building the same thing.
Continue reading ›
Meta's nostalgia play for AI trust just accidentally scored its own irony: the soundtrack is literally about humanity's last five years alive. Meta launched a new ad campaign invoking Facebook-era optimism to sell its AI future, with Zuckerberg saying "call us whatever the hell you want"
Continue reading ›
Runway just admitted the model moat is dead. Runway launched Media Router, a routing layer that selects the best AI model for each generative media task from its own models plus third-party options via Runway Dev API
Continue reading ›
The two biggest closed-source AI labs are suddenly very concerned about national security, which is a convenient excuse when open-weight models are eating your moat.
Continue reading ›
Google just posted a $112 billion profit quarter where search advertising was a footnote. Alphabet reported $112 billion in profit, with $99 billion coming from paper gains on stakes in Anthropic and SpaceX, not from ads or cloud revenue
Continue reading ›
The open source AI movement just discovered it has a national security problem—and the fix might kill it. Almost 200 companies, including Y Combinator and Proton, formed the Little Tech Association to lobby Trump against blocking Chinese open-weight AI models like DeepSeek and Alibaba's releases
Continue reading ›
OpenAI just stopped selling dreams and started selling SaaS contracts. OpenAI launched Presence, an enterprise platform for deploying voice and chat AI agents into customer service and internal operations — moving from API provider to full-stack enterprise software company
Continue reading ›
Washington just declared open season on open source—if it's trained in China. Treasury Secretary Scott Bessent announced the US will scrutinize open source AI models from China for evidence of intellectual property theft from American companies
Continue reading ›
When your business model depends on keeping AI behind an API paywall, open-weight models start looking less like innovation and more like contraband.
Continue reading ›
The attack succeeded because the defense refused to defend. An autonomous AI agent breached Hugging Face's infrastructure in early July 2026, executing over 17,000 actions through a dataset pipeline exploit before detection
Continue reading ›
While others worry AI spending has peaked, the smart money is writing $4 billion checks on the thesis that we're just getting started.
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 ›