A GitHub gist exposing what xAI's Grok Build CLI actually sends back to xAI is today's most-shared story. Plus geohot's AI 2040 essay, vLLM v0.25.0, and a local MCP server for Google's forecasting models.
A GitHub gist published this week shows exactly what xAI's Grok Build CLI transmits to xAI's servers during normal use — and it's more than most builders would expect. With 296 Hacker News points, it's the most-discussed AI story today. If you've installed Grok Build, read it before you run it on a client project.
The gist at cereblab's GitHub walks through the actual HTTP traffic the Grok Build CLI generates. The author used a proxy to capture requests and found that the tool sends project context, file paths, and other metadata back to xAI beyond what you'd expect for a simple code-generation call. The gist doesn't claim malice, but it names the specific fields being transmitted. If you're building anything with proprietary code or client data, that's worth knowing before you run the CLI.
xAI has not publicly responded to the findings as of publication.
George Hotz (geohot) posted 'AI 2040 and the cult of intelligence' on his personal blog. It scored 206 HN points. The short version: Hotz is skeptical that AI becomes a singular god-like intelligence by 2040, and he's more worried about the social dynamics around AI worship than the technology itself. It's a useful counterweight if you've been reading too many AGI timelines.
Also circulating: a 2025 Cory Doctorow piece on Pluralistic about 'reverse centaurs' — the idea that instead of AI assisting humans, many workers are being forced to act as the human component in AI-driven workflows, doing the tasks the model can't handle. 107 HN points. Relevant if you're building tools that touch labor or productivity.
vLLM hit v0.25.0 this week. vLLM is the most widely used open-source library for running large language models at scale — if you're self-hosting any model bigger than 7B parameters, you're probably using it. The release notes are on GitHub. No single headline feature dominates the changelog, but the version bump signals active maintenance.
llama.cpp also pushed build b9971. If you run local models on a Mac or a modest GPU, llama.cpp is the runtime. Incremental build, but worth pulling if you haven't updated in a few weeks.
A Reddit post in r/MachineLearning introduced Zer0Fit — a project that wraps Google's TabFM and TimesFM foundation models as an MCP (Model Context Protocol) server. It runs 100% locally and handles zero-shot forecasting, classification, and regression tasks without training data. TabFM is Google's tabular foundation model; TimesFM is their time-series forecasting model. Both are real, released models. The MCP wrapper means you can call them from any MCP-compatible client, including Claude Desktop.
1. If you use Grok Build CLI, read the cereblab gist and decide whether the data it sends is acceptable for your project. If not, run it only on throwaway or public code.
2. Pull Zer0Fit from the Reddit post, install it locally, and point it at a CSV of your own sales or usage data. Ask it for a 30-day forecast with no model training — zero-shot means you don't need labeled examples.
3. If you self-host models with vLLM, upgrade to v0.25.0 this weekend. It's a stable release and staying current avoids security and compatibility drift.
Confirmed: The Grok Build CLI gist exists at the linked URL and has 296 HN points as of scoring. We have not independently run the CLI through a proxy to verify the specific fields described.
Not independently verified by CBW: xAI has not issued a public statement about the gist's findings. We do not know if the behavior described has changed in recent CLI versions.
Confirmed: vLLM v0.25.0 and llama.cpp build b9971 are real releases visible on their respective GitHub repos.
Not independently verified by CBW: We have not tested Zer0Fit locally. The Reddit post is a single-source project announcement with a cross-signal from Hugging Face models, but we have not confirmed it runs as described.
Worth noting: The Doctorow 'reverse centaurs' piece is from September 2025, not new — it's recirculating on HN today. The geohot essay is dated July 11, 2026 and appears to be fresh.
Source: cereblab GitHub gist — Grok Build CLI traffic analysis — https://gist.github.com/cereblab/dc9a40bc26120f4540e4e09b75ffb547
Source: geohot blog — AI 2040 and the cult of intelligence — https://geohot.github.io//blog/jekyll/update/2026/07/11/ai-2040.html
Source: Pluralistic — Reverse centaurs are the answer to the AI paradox — https://pluralistic.net/2025/09/11/vulgar-thatcherism/#there-is-an-alternative
Source: vLLM GitHub — v0.25.0 release — https://github.com/vllm-project/vllm
Source: Reddit r/MachineLearning — Zer0Fit MCP server for TabFM and TimesFM — https://www.reddit.com/r/MachineLearning/comments/1uue8cc/zer0fit_i_took_googles_new_tabfm_timesfm_ml/
Source: llama.cpp GitHub — build b9971 — https://github.com/ggml-org/llama.cpp
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