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And other AI model makers are expected to deploy something similar

Would you rather play Russian roulette with an LLM or put your health and safety in the hands of a professional

In space, no one can hear you scream when the LLMs hallucinate

Nearly 10 tok/s and it's mostly coherent — What's not to like?

New plugins for K-12 teachers, university instructors, and college kids? Read the room, guys

LLMs are theft by 'absolute scum' who make life harder for writers by putting them in copyright peril

Chocolate Factory LLMs join Big Red's Fusion automation party

If you think OpenAI and Anthropic are the only ones with these capabilities, think again

ChatGPT Business and Enterprise users lack the standard chat export option, so third-party utilities like scrapemychats fill the gap

Closed models with guardrails can still cause harm, but may also not be able to fix problems they caused

Closed models with guardrails can still cause harm, but may also not be able to fix problems they caused

Chinese open-weight model GLM 5.2 happily obliged

Adapting existing local LLM project for security and sovereignty purposes and hopes to one day match Mythos

Thinking Machines' first open weights model is a 975 billion parameter alternative to Chinese LLMs

Tender calls for providers to power free service with local LLMs, government to supply some GPUs

Human did 10% of the job, AI did 90%

Token consumption doesn't tell the whole tale but it shouldn't be ignored

OpenAI and Anthropic have built AI Swiss Army Knives, but the future may be smaller built-for-purpose tools

With GPT-Live, talking, listening, and formulating answers all happen at once

Jalapeño is the latest announcement that attempts to portray OpenAI as more than a race-to-the-bottom model maker

From Java tests to Shai-Hulud, bots keep proving they'll swallow anything you feed them

GPTZero claims only 5 of the report's 45 citations matched their sources, raising questions about how the Big Four's AI study was assembled

'Enterprises are fed up,' says Alex Karp, because LLM makers 'want to tokenmax' instead of understanding enterprise needs

Language model builds on diffusion tech to boost output performance by up to 4x, claims Chocolate Factory