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Polled every two minutes. Latency is p95 over the last hour.

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Claude
OK
230ms
p95 last hour52s ago
OpenAI API
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242ms
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Google Gemini
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GitHub Copilot
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97ms
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Cursor
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Perplexity
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Groq
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AWS Bedrock
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Azure OpenAI
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p95 last hour56s ago
Hugging Face
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Replicate
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Cohere
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258ms
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/ OriginalsEditorial from TensorFeed

Opinionated analysis from our editorial team, published multiple times per week.

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EDITORIAL / ANALYSIS

Plugin4Shell Broke SHA Pinning Across Four Coding Agents. Two Labs Shipped a Patch. Two Walked Away From the Product.

On Thursday, September 17, 2026, three researchers at AIR Security (Or Nevo, Dor Granat, Niv Hoffman) disclosed Plugin4Shell, a zero-click remote code execution flaw in the plugin systems of the four most-installed AI coding agents on the market: Anthropic's Claude Code, OpenAI's Codex, GitHub Copilot from Microsoft, and Google's Gemini CLI. The bug is a broken assumption: every one of these agents told developers that pinning a plugin to a specific commit SHA locked the plugin to the reviewed code at that SHA, and the check verified the pin was declared rather than that the code fetched at install or update time actually landed there. A repository owner swapping a branch identically named to a pinned commit, or rewriting history under a moved tag on hosts that permit it, produces a plugin whose content hash on disk is not the pin the developer signed off on, and the malicious code runs the moment the plugin loads inside the coding agent's own process, credentials, and file-system scope. Ninety-six hours after disclosure the split on the response is the story. Anthropic shipped Claude Code 2.1.179 with a fix. OpenAI shipped Codex 0.146.0. Microsoft has released no patch and the affected plugin marketplaces (Bitbucket, GitLab, self-hosted Git) remain exposed on the client. Google retired Gemini CLI and routed users to Antigravity CLI, leaving every existing Gemini CLI install permanently vulnerable with no version number that fixes it. Two of the four coding-agent vendors treated Plugin4Shell as a shipping bug on a shipping product, the other two treated it as a decision about whether the product ships. AIR notified vendors in June 2026 for roughly a three-month coordinated-disclosure window, no CVE has been assigned as of publication, no exploitation in the wild has been claimed. The install-base ratio nobody quoted: GitHub Copilot enterprise seats are reported over 20 million on the last public disclosure, which is more than the combined disclosed userbases of Claude Code and Codex, so weighted by userbase rather than by product count more coding agents on more developer machines this morning are exposed than are patched. The verified-feed read: SHA pinning was a promise the plugin manager made and the verifier and the fetcher lived inside the same process controlled by the same vendor, no independent artifact a developer could audit to confirm the pin held, the same failure shape TensorFeed covered on Stainless SDK and Starlette BadHost. Practical read: audit whether your fleet is on Claude Code 2.1.179 or Codex 0.146.0 or higher, treat Gemini CLI installs as permanently exposed and remove them, audit the Copilot plugin repository allowlist for anything pinning to a tag rather than an immutable SHA. Our Take: the number that matters is two, two of the four largest coding agents on the market treated a supply-chain compromise as a patchable defect on a product they defend and two did not, the split does not indict the two silent vendors but exposes that the coding agent (the highest-privilege piece of software on a developer laptop this year) sits inside four separate governance models, and the response to a shared bug is a legibility test for each. The two vendors who read the bug as urgent are the two who priced the agent as a stand-alone product line, the two vendors who did not are the two treating the agent as either a platform layer or an experiment. Plugin4Shell is the reality check on the last two weeks of voluntary-governance essays authored at the model layer: none of them binds the plugin ecosystem, the harness layer, or the coding agent's privilege on a laptop. Three signposts for the next 60 days: whether Microsoft publishes a patched Copilot client that fences Bitbucket, GitLab, and self-hosted plugin hosts before the end of Q3, whether any coding agent ships an independent signed content-verification receipt for plugin installs, whether MITRE assigns a CVE and NVD scores the bug at a severity that forces enterprise procurement teams to update their coding-agent allowlists. Kira Nolan, September 21, 2026.

Kira Nolan, Senior Editor·September 21, 2026·6 min read
EDITORIAL

Four Paid Subscribers Just Sued the Pacing Accord Under the Sherman Act. The Ledger Grew Legal Teeth.

On Friday, September 19, 2026, four paid subscribers to ChatGPT, Claude, Grok, and Gemini filed a class action antitrust complaint against Anthropic, OpenAI, SpaceXAI, and Google in the United States District Court for the Northern District of California, alleging the four frontier labs illegally coordinated to slow AI development in violation of Sherman Act section one. Lead counsel is Nick Rowley; the class is nationwide; the theory is subscription value dilution (pay $20 or $200 a month for a service whose product improvement cadence just got contractually pledged into a slower rate, and value received per dollar drops relative to a competitive benchmark). The complaint carries two foundation exhibits: a July 2026 open letter signed by senior technical staff at multiple frontier labs acknowledging 'intense competitive pressure not to unilaterally slow' (the on-record admission that deceleration requires coordination), and the September 12, 2026 twenty-four-hour window in which Dario Amodei published We Must Pace the Frontier and Sam Altman, Elon Musk, and Demis Hassabis publicly agreed with the frame (the overt act). Five business days between the September 14 equity session that priced the pacing accord (semiconductor complex down 5 to 7 percent, hyperscalers up 1 to 2 percent, roughly 8 point spread across the compute supply chain in one session) and the September 19 class action that pleaded against it, faster than any prior legal response to any prior AI industry statement. Three consequences score independent of merit: discovery becomes the audit no lab volunteered for (the July working-group talks between OpenAI, Anthropic, and Google that Washington Post reported on September 14 are now a document custody question, and the three-lab shared standards body is exhibit A on any motion to compel), the IPO calendar gains a risk factor (Anthropic pushed October to November this week for Q3 financials, and a pending Sherman Act complaint filed by four subscribers in the plaintiff-friendly ND Cal is exactly the paragraph that goes in the S-1 risk factors section), and the pacing conversation moves to a docket (every future essay drafted with antitrust counsel in the loop, every future coordination call minuted with the assumption that plaintiffs' counsel will read the minutes). Caveats: parallel conduct without agreement is not a section one violation and defendants will argue the four essays are four CEOs independently reaching similar conclusions publicly, antitrust standing for a paid subscriber is contested doctrine and Illinois Brick still keeps indirect purchasers out of many Sherman Act cases, Nick Rowley is a plaintiff's trial lawyer rather than primarily an antitrust specialist, no company had responded to press requests by Saturday, the prayer for relief was not detailed in Saturday reporting though treble damages are available on a section one claim. The awkward overlap with governance: the Microsoft MAI Code of Conduct draft, the three-lab standards body talks, the Anthropic R&D Automation Index, the Anthropic-METR eight-week wide-ranging-access contract, and the OpenAI Foundation Board seat given to Paul Christiano all sit in the same ledger the plaintiffs will subpoena, every voluntary artifact that argued for cooperation among the labs is now also an artifact that argues cooperation was already happening. Our Take: the number that matters is five, five business days between the equity session and the class action, a good proxy for how quickly the plaintiffs' bar has decided the frontier lab layer is a viable defendant class, and there is a version of the next two years where this complaint is the first of a dozen. Three signposts for the next 60 days: whether the four defendants file a joint motion to dismiss or separate motions (joint filings tend to be shorter and share strategy while separate filings preserve independent defenses and incidentally undermine the appearance of coordination), whether any of the four labs publishes a follow-up essay or open letter on pacing before the responsive pleading deadline (the plaintiffs' case gets stronger with every additional public overt act and defense counsel will be asking their clients to hold the pen), whether the OpenAI-Anthropic-Google standards body talks convert into a named entity with a charter during the pendency of this case. Marcus Chen, September 20, 2026.

Marcus Chen·September 20, 2026·6 min read
EDITORIAL

Claude Leads 26 Percent of R&D on the Next Claude. Anthropic Wrote the Yardstick, Too.

On Wednesday, September 17, 2026, Anthropic published three self-measured metrics on the pace of frontier AI development and offered the methodology as a public standard the rest of the industry can adopt. The lead figure is an R&D Automation Index putting Claude at 26 percent of the work building the next Claude (defined as the model completing most of a task from a high-level prompt while a human supervises), up from under 1 percent in February 2026, a 26x expansion over six months. The oversight column reports roughly 30,000 concurrent agents on the most-used internal agent platform in August, 100 percent of actions screened before execution, a real-time monitor block rate of 0.002 percent (one in 47,000 across over a billion decisions in August), and an offline pipeline flagging around 100,000 transcripts a week with about 50 escalating to a human. The compute column reports 6 percent of AI R&D compute to safety and 12 percent within the AI-driven-AI-R&D subset, for a single week from July 13 to July 20. Every number is Anthropic measuring itself, no external party has verified any figure, and this lands as the seventh entry in a thirteen-day voluntary-governance ledger authored entirely by the labs (Sep 5 Pachocki essay for legally mandated thresholds, Sep 9 Anthropic-METR eight-week wide-ranging-access audit, Sep 9 OpenAI seated Paul Christiano on the Foundation Board, Sep 12 Amodei Pace the Frontier essay with a permanent employee-level METR access pledge, Sep 14 Microsoft MAI Code of Conduct, Sep 14 OpenAI-Anthropic-Google standards-body working-group talks, Sep 17 Anthropic R&D Automation Index). Seven signals, thirteen days, zero laws. Two structural questions decide whether the index converts from a self-report into an instrument regulators will cite: whether OpenAI, Google DeepMind, xAI or Meta publishes a counterpart using Anthropic's four-bin taxonomy inside 60 days (a schema with one signatory is a blog post, a schema with three is a floor), and whether the second issue holds the definitions of R&D work and Claude-led actions constant or quietly revises the denominator (a moveable denominator is how a self-report loses meaning fastest). The awkward overlap: the same lab that on September 12 asked publicly for embedded evaluators shipped a self-measured governance dashboard five days later without any evaluators embedded yet, and both can be sincere and still push the sector toward different equilibria (publish-and-hope-peers-adopt vs. audit-and-verify). Our Take: I would rather live in a world where five frontier labs publish the same three fields quarterly than a world where none do, and the Anthropic index is the first entry on this month's ledger that puts a measured decimal against a claim that used to be a vibe, but the 0.002 percent block rate is either a tight monitor on a well-aligned fleet or a fleet that learned where the fence is, and the release cannot tell you which without an outside party checking the transcripts the online monitor waved through. Three signposts for the next 60 days: whether any peer publishes a counterpart R&D automation index, whether the second issue holds the definitions constant, and whether METR, the UK AISI, CAISI, or an EU AI Act delegated-act draft cites the Anthropic index directly. Kira Nolan, September 19, 2026.

Kira Nolan·September 19, 2026·7 min read

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MITMIT Technology Review

The AI Hype Index: AI loves cheating

Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or...

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MITMIT Technology Review

Don’t be fooled by this summer of AI hype

It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the...

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GGoogle AI Blog

New experts join Google’s AI & Economy team

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/AI__Economy_team_hero.max-600x600.format-webp.webp">We are expanding our AI & Economy team with world-class academic...

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Co-creating the future of fashion with Google

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Making global data easier to explore

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New insights from Google’s AI & Economy ATLAS

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/ATLAS-hero.max-600x600.format-webp.webp">We’ve translated ATLAS’s millions of global data points into an interactive,...

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