TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.
At inference time, TabFM does not require training parameters on your dataset; instead, it leverages in-context learning by reading your training data as "context" to make instant predictions on new test samples.
https://github.com/google-research/tabfm
At inference time, TabFM does not require training parameters on your dataset; instead, it leverages in-context learning by reading your training data as "context" to make instant predictions on new test samples.
https://github.com/google-research/tabfm
GitHub
GitHub - google-research/tabfm: TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research…
TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification. - google-research/tabfm
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Grok 4.6 achieves frontier intelligence across several agentic coding and knowledge work benchmarks. It matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index, which is a composite score of nine benchmarks.
https://x.ai/news/grok-4-6
https://x.ai/news/grok-4-6
x.ai
Introducing Grok 4.6
Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work.
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Great News! MCP will now be stateless, this was a much awaited change. Read full blog:
https://blog.modelcontextprotocol.io/posts/2026-07-28-release-candidate/
https://blog.modelcontextprotocol.io/posts/2026-07-28-release-candidate/
Model Context Protocol Blog
The 2026-07-28 MCP Specification Release Candidate
The release candidate for the next Model Context Protocol (MCP) specification is now available: a stateless protocol core, the Extensions framework, Tasks, MCP Apps, authorization hardening, and a formal deprecation policy.
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