#large language models
104 stories taggedlarge language models · page 4 of 7.
French startup Kog says your company's existing GPUs can run AI ten times faster. Here's how.
Kog claims software alone can dramatically speed up AI inference on the chips businesses already own. The September demo will be the real test.
Apple and Alibaba Built a Custom AI Model for China, Report Says
A cross-border partnership between two of the world's biggest tech companies could make Apple the first US firm to offer its own approved AI model in China.
OpenAI's new Ultrafast mode makes GPT-5.6 Sol run at 14 times normal speed
A new preview mode promises dramatically faster responses from OpenAI's most powerful model. Here's what that actually means and who can get it.
Google launches Gemini 3.7 Flash just three weeks after its predecessor
The new model brings measurable gains in coding and document reading, and arrives with a cut-price introductory rate as Google feels pressure from cheaper rivals.
AI Companies May Be Destroying Rare Books to Train Their Models
Booksellers are raising the alarm that AI firms are buying up physical books, including rare and out-of-print copies, then shredding them to scan the pages cheaply and fast.
University AI researchers are being squeezed out of their own field
The cutting edge of AI has moved from campuses to private labs. Academics at a recent Schmidt Sciences gathering described a field that's harder to fund, harder to study, and harder to justify than before.
Meta's Muse Glimmer Is a 30-Billion-Parameter AI You Can Run on Your Own Machine
The new open-source model sees images, understands video, and can act as a personal assistant without sending your data to a cloud server.
Four startups betting the next wave of AI runs on something better than transformers
The neural network design powering every major chatbot is hitting real limits. A small group of companies thinks it has found a way around them.
Apple's AI Shortcut: How a 'Draft and Check' Trick Makes Reasoning Models Twice as Fast
Apple ML Research has built a smarter way to speed up AI thinking, one that checks meaning instead of counting exact words. It could cut the cost of running powerful AI in half.
Google's AI Brain Drain: What the Leadership Shake-Up Actually Means
Several of Google's most prominent AI researchers have moved on, including Jeff Dean, who spent 27 years there. Is this a sign of trouble, or something more complicated?
ByteDance Is Building One of the Biggest AI Models Ever Made
China's tech giant is training a model with up to 10 trillion parameters, which would dwarf any Chinese AI released so far and put it in the same conversation as Anthropic's most advanced systems.
Baseten Joins Hugging Face as an Inference Provider, Bringing Popular AI Models to More Developers
Developers can now run open-weight AI models through Baseten directly from the Hugging Face Hub, with no markup on costs and two billing paths to choose from.
Nobody Has Figured Out How to Price AI Yet. That Is a Problem for Everyone
Companies are paying for AI by the token, a tiny unit of text the software processes, but nobody, not startups, not Microsoft, not the firms selling AI services, can predict how many tokens a task will burn. Budgets are blowing up, and the bill lands before anyone notices.
Reddit Is Replacing Its Old Moderation Bot With AI That Reads Intent, Not Just Keywords
Rules Hub uses large language models to judge whether a post actually breaks a rule, not just whether it contains a flagged word. Reddit plans a site-wide rollout in 2026.
37 Researchers Say Science Should Stop Writing Papers for Humans and Start Writing Them for AI
A new proposal wants to replace the traditional scientific paper with a format built around AI agents. The researchers behind it say the 350-year-old PDF is holding science back.