Unfair comparison as revenue figures not quite apples to apples plus over time I can see the Chinese open source gaining massive momentum as US frontier model costs skyrocket – the most of size and scale results in an Achilles heel of soaring costs
OPEN SOURCE
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Mathematics of Machine Learning book review and GitHub link
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -
Using frontier AI and security researchers to secure critical OSS
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Patch the Planet: using frontier AI and working with professional security researchers to secure critical OSS projects https://t.co/YxiOdpvSbS
— Greg Brockman (@gdb) 22 juin 2026Patch the Planet: using frontier AI and working with professional security researchers to secure critical OSS projects
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Multi-trillion-parameter open-source models coming soon to lower token pricing via Jevons paradox
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Also, other multi-trillion-parameter open-source models are landing soon, from what I hear. It's going to be awesome for token pricing and riding the Jevons paradox.
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GLM-5.2 (max) 3rd on agentic benchmark GDPval-AA
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Absolutely incredible: GLM-5.2 (max) places 3rd overall on GDPval-AA, a real-world agentic work benchmark, even ahead of GPT-5.5 (xhigh). Oh and by the way: it seems open source is no longer 7 months behind. GDPval-AA, a benchmark built around tasks.
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GLM 5.2: first open-weights model for auto-research
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GLM 5.2 keeps on winning
— Chubby♨️ (@kimmonismus) 22 juin 2026
GLM 5.2 is emerging as the first open-weights model capable of handling meaningful autoresearch tasks, from debugging setup issues to running and comparing RL training experiments across multi-node H100 clusters.
The big caveat: it lacks image… https://t.co/BQf3g6pW5OGLM 5.2 emerges as the first open-weights model capable of handling significant auto-research tasks, from debugging configuration issues to running and comparing RL training experiments on clusters.
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NVIDIA Research ArtiFixer completes missing 3D scene geometry
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3D scene reconstruction works great until the camera never sees part of the scene.
— NVIDIA AI (@NVIDIAAI) 22 juin 2026
ArtiFixer from NVIDIA Research is an open autoregressive model that fills in the missing geometry that other methods leave blank.#SIGGRAPH2026 paper, code + demo: https://t.co/D9PX2OzbZf pic.twitter.com/AGQicvVKkW3D scene reconstruction works great until the camera never sees part of the scene. ArtiFixer from NVIDIA Research is an open autoregressive model that fills in the missing geometry that other methods leave blank. #SIGGRAPH2026 paper, code + demo: https://
nvda.ws/4oILqNd -
OpenAI Daybreak models discover and patch critical vulnerabilities
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We're accelerating patching, in addition to vuln finding, with new tools and models in OpenAI Daybreak. Our models are now discovering and generating patches for critical vulns in major browsers, network infrastructure, and operating systems (such as FreeBSD and the Linux
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Hugging Face to surpass 3M public models and 1M datasets
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We are about to surpass 3M public models & 1M public datasets on @huggingface in a few days. Open-source AI is on fire!
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Play with SkyRL via OpenResearch.sh or autoarxiv with GLM 5.2
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4/4: You can play with this yourself! Visit http://
OpenResearch.sh (
http://
openresearch.sh) or change ‘arxiv’ to ‘autoarxiv’ on the official SkyRL paper https://
autoarxiv.org/abs/2511.16108 and use the GLM 5.2 model to iterate on the repo!