A peer-reviewed study argues universities focus too much on catching AI-assisted cheating and should instead redesign teaching and assessment for a workplace where AI use is routine.
Read more →GLM is the open-weight AI model family from Chinese lab Zhipu AI (Z.ai) — free to download and self-host, and competitive with top US models at a fraction of the API cost.
Read more →Z.ai has released GLM-5.2, a 744-billion-parameter open-weight model that matches GPT-5.5 on key benchmarks and trails Claude Opus 4.8 narrowly — trained entirely on Huawei silicon with no Nvidia hardware.
Read more →Meta's non-invasive AI system translates brain activity to typed text with 61% word accuracy — nearly eight times better than prior implant-free approaches — targeting people who cannot communicate due to brain injuries.
Read more →AI world models go beyond language to build internal simulations of physical reality — predicting what happens next when an action is taken. Here is what they are, how they work, and why researchers think they are essential for the next generation of AI.
Read more →A roadmap published on UNESCO’s AI Ethics Observatory outlines how Georgia should build AI governance step by step — starting with a national vision before moving to strategy, institutions, and eventually binding regulation.
Read more →Chatbot Arena (now Arena) is a free platform that ranks AI models through blind human votes — and it’s the leaderboard the whole AI industry watches.
Read more →Chinese tech company Meituan has disclosed that "Owl Alpha," an anonymous model that topped OpenRouter rankings for two months, was its 1.6-trillion-parameter LongCat-2.0 — trained entirely on domestic chips and now free under an MIT license.
Read more →Building a frontier AI model like ChatGPT or Claude takes three distinct stages: pre-training on vast data, instruction tuning, and alignment through human feedback. Here is how each stage works.
Read more →Meta's superintelligence chief told employees that the company's next model, codenamed Watermelon, has caught up to OpenAI's GPT-5.5 on key benchmarks — though the specific tests and results have not been disclosed.
Read more →Mistral's new open-source model for Lean 4 fully saturates the miniF2F theorem benchmark, solves 87% of graduate-level math tests, and found five previously unknown bugs in production code — at roughly $4 per proof versus $300 for competing systems.
Read more →Anthropic released Claude Sonnet 5 on June 30, delivering near-Opus-level reasoning and agentic capabilities at introductory API pricing of $2 per million input tokens.
Read more →Anthropic released Claude Science in beta on June 30 — an AI workbench connecting scientists to 60-plus biological databases with reproducible outputs and built-in compute management, available to all paid subscribers.
Read more →AI is helping doctors detect diseases earlier, discover drugs faster, and reduce diagnostic errors — but it also raises serious questions about bias, privacy, and the limits of machine judgment.
Read more →A brain-computer interface reads electrical signals directly from the brain and translates them into commands for computers or devices — letting people control technology by thought alone. Here is how it works and where the technology stands.
Read more →Meta's non-invasive AI system converts MEG brain recordings into typed text at 61% word accuracy — a seven-fold leap over prior non-invasive approaches and a step toward surgery-free brain-computer interfaces.
Read more →An AI benchmark is a standardized test used to compare how capable different AI models are. Here's what the major ones measure — and why the scores don't always tell the full story.
Read more →OpenAI has released GeneBench-Pro, a 129-problem benchmark that tests whether AI agents can exercise the judgment-intensive analytical reasoning required for real-world computational biology research.
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Google has released Gemini Omni Flash in public preview, a multimodal AI model that generates and edits short videos through natural-language conversation, available via the Gemini API at $0.10 per second of output.
Read more →Chinese technology company Meituan has released LongCat-2.0, a 1.6-trillion-parameter coding model trained entirely on domestic Chinese chips, under the MIT License — the first frontier-class open-source model built without Western semiconductors.
Read more →Open-weight AI models release their trained parameters publicly so anyone can download, run, or fine-tune them — unlike closed models such as GPT-4 or Gemini, which are accessible only through paid APIs. Here is what that difference means in practice.
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