Ornith scores on own harness, Antigravity 2.0 ships broken, Willison clears 200
Every URL the pipeline pulled into ranking for this issue — primary sources plus the supporting and contradicting findings each Researcher returned. Inline citations in the issue point back here.
Sources
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding simonwillison.net
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding This is an interesting new open weights (MIT licensed) model, the first model release from DeepReinforce. […] with variants including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built on top of pretrained Gemma 4 and Qwen 3.5, it achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks. As far as I can tell the licenses of those underlying models is compatible with being used in this way - Gemma…
HTML table extractor simonwillison.net
Tool: HTML table extractor Yet another in my growing collection of paste-conversion tools. This one accepts pasted rich text from browsers (with embedded HTML tables) and converts every detected table into HTML, Markdown, CSV, TSV, or JSON. Try it out by selecting everything on the Wikipedia List of cities and towns in the San Francisco Bay Area page and pasting it directly into the tool: On a similar note, I recently rebuilt my Rich text to markdown tool to add support for tables and generally…
Ask an AI expert: What exactly is the full stack? blog.google
An illustration depicting a full-stack AI infrastructure against a dark background
Count the number of Safari tabs simonwillison.net
A single osascript command — ‘tell application “Safari” to count tabs of every window’ — returns the total tab count across all Safari windows. Simon Willison ran it on his own machine and clocked 370 open tabs, a small TIL for anyone curious about their own browser sprawl.
References
MarkTechPost marktechpost.com
Ornith-1.0-397B achieves 82.4% on SWE-bench Verified and 77.5 on Terminal-Bench 2.1, placing it ahead of Claude Opus 4.7
LetsDataScience letsdatascience.com
Because Ornith uses its own optimized harness while competitors are often tested on generic public scaffolds, the performance gap may reflect the efficiency of its learned agent loop rather than superior reasoning
LLMWatch (CUDAFORGE critique) llmwatch.com
in 90% of the top-performing cases, the model did not actually author revolutionary new CUDA kernels… it achieved speedups by strategically reverting to highly optimized official PyTorch library implementations
LLMReference / r/LocalLLaMA deployment notes llmreference.com
In full BF16 precision, the model requires approximately 800GB of VRAM… Even in FP8 precision, the memory requirement sits near 400GB, necessitating multi-node clusters
r/AIDeveloperNews discussion reddit.com
tendency for the model to ‘hallucinate’ code changes or rewrite files ‘willy-nilly,’ which can break existing project logic… the actual weights remain static after training, and the model does not ‘improve’ during a single inference run
VentureBeat on Xiaomi HarnessX venturebeat.com
Xiaomi’s HarnessX rewrites its own AI scaffolding mid-task and smaller models gain the most
24/7 Wall St. 247wallst.com
Google’s Q1 2026 report showed a 107% year-over-year increase in capex, even as free cash flow dropped significantly… Sequoia Capital and other researchers have identified a $600 billion ‘revenue gap’ between the capital being deployed and the actual revenue generated by AI applications.
RocketCityNow (local Alabama coverage) rocketcitynow.com
Google committed to the ‘Ratepayer Protection Pledge,’ promising to cover 100% of its operational energy and infrastructure expenses… the site will eventually be powered by advanced nuclear energy through a partnership with Kairos Power and the Tennessee Valley Authority.
The Next Web thenextweb.com
Anthropic has finalized agreements for up to one million TPU units by 2027… internal dissent has surfaced at Google DeepMind, where researchers report ‘jockeying for access’ to TPU resources that are being prioritized for external customers like Meta and Anthropic.
Medium / Google Cloud (TPU lock-in rebuttal) medium.com
Because TPUs are available exclusively on Google Cloud Platform, any enterprise that optimizes its models for TPU-specific scaling faces a ‘lock of a different color’… applications leveraging Google’s deepest reasoning models still require significant refactoring to exit the GCP ecosystem.
Hacker News thread on Antigravity news.ycombinator.com
Developers expressed frustration over a perceived ‘bait and switch’ when Antigravity 2.0 was released, which reportedly broke existing installations and lacked support for Windows/WSL… relying on a Google-led IDE is risky given the company’s history of deprecating products within a few years.
Reddit r/artificial on Google I/O 2026 reddit.com
Pillar Security and Mindgard discovered flaws that could allow ‘persistent code execution,’ where malicious code silently embeds itself in a workspace and runs every time the application is launched… a critical flaw in the find_by_name tool allowed prompt injection to escalate into a full system compromise.
tools.simonwillison.net (colophon/index) tools.simonwillison.net
A repository of over 200 single-file HTML/CSS/JS tools, almost all generated using LLMs such as Claude and OpenAI Codex, with each tool’s colophon publishing the full LLM transcript.
MDN — Clipboard.read() developer.mozilla.org
Chromium-based browsers automatically sanitize text/html on paste, stripping tags and inline event handlers; retaining full-fidelity table markup requires the { unsanitized: [‘text/html’] } opt-in, which is Chrome-only.
MediaWiki API docs mediawiki.org
Setting origin=* in the query string (even for POSTs) is required for anonymous cross-origin requests; omitting it is the most frequent cause of ‘No Access-Control-Allow-Origin header is present’ errors.
word2md.net — Best Online Markdown Converters 2026 word2md.net
TableConvert supports 30+ formats with a built-in spreadsheet editor; Markdown is increasingly the preferred LLM ingestion format because it uses 10–20% fewer tokens than HTML.
GitClear — AI Code Quality & Maintainability Gap report gitclear.com
Cross-file function calls (a proxy for code reuse) have dropped 35% while code duplication has surged 81% in AI-assisted codebases — the era of ‘Perpetual V1’ components.
Hacker News discussion (item 45512098) news.ycombinator.com
Critics argue that promoting tools built with LLMs can be ‘misleading’… Willison defends the approach, asserting that experienced engineers can rig up automated tests and CI/CD pipelines that a novice could not.
