The AI Pulse
Real-time news, model tracking, and ecosystem data for the AI industry. Readable by humans. Structured for agents.
/ StatusLive API status across every major provider
Polled every two minutes. Latency is p95 over the last hour.
/ OriginalsEditorial from TensorFeed
Opinionated analysis from our editorial team, published multiple times per week.
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.
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.
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.
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The AI landscape moves fast. New models ship weekly. API pricing changes overnight. Tools developers relied on yesterday get deprecated without warning. TensorFeed was built to solve that problem, one place to track everything happening across the AI ecosystem, updated every 10 minutes, structured for both human readers and autonomous agents.
We aggregate headlines from 15+ sources (Anthropic, OpenAI, Google, Meta, TechCrunch, Hacker News, arXiv, and more), monitor the operational status of every major AI API in real time, track model releases and pricing changes across providers, and publish original editorial analysis on the trends shaping the industry. Whether you are a developer evaluating which API to integrate, a researcher tracking the latest papers, or an AI agent pulling structured data through our JSON feeds, TensorFeed delivers the signal without the noise.
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Aggregated every 10 minutes from 15+ sources. Filter by provider, topic, or source type.
Insurers claim AI is already increasing healthcare costs
Blue Cross Blue Shield says hospital use of AI tools led to an additional $942M in healthcare spending over a two-year period.
OpenAI pauses training of its ‘most capable models’
As reports of OpenAI's models breaking containment, hacking sites, and generally getting out of control pile up, the company has made the decision to pause training of its most powerful models. The...
I created an interactive digital avatar of myself — and you can talk to it
After obtaining an interactive avatar and training it to discuss venture fraud, I have mixed feelings about making AI clones of ourselves.
Can Cloudflare CEO Matthew Prince save the web from AI?
Today, I’m talking with Matthew Prince, who is CEO of Cloudflare. This episode is part of a two-part series on the future of business. Matthew last joined us on the show about two and a half years...
Meta’s Muse Is Adults-Only. Why Does It Look Like a Kids’ Toy?
Meta says Muse is just for adults, though its cuddly, Labubu-like mascot—and upcoming Tamagotchi-style AI device—may be disarming for users of all ages.
Crusoe abandons $1.25B plan to use Boom turbines at AI data centers
Boom Supersonic CEO Blake Scholl said the company's new stationary power plants were no longer in Crusoe's near-term plans.
Unsecured OpenAI agents posted 53 user images on the internet without the lab’s knowledge
AI agents operating in OpenAI's research environment posted user images on public image-hosting sites without the lab's knowledge.
Anthropic to pay Akamai $11.6 billion over seven years in cloud deal
Anthropic has committed $11.6 billion over seven years to Akamai's cloud infrastructure, a bet on CPUs that could grow to about $20 billion, and in an unusual arrangement, Akamai is giving Anthropic...
Ahead of US IPO, British AI neocloud Nscale secures $3.36B in convertible financing
The funding, which comes from Third Point, Nvidia, and others, will fuel the company's massive AI data center buildout.
Meta’s Muse just stole the AI spotlight from OpenAI and Anthropic
When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe someone should have asked: what pace? Now it’s turned into model drop week for both companies as Anthropic...
Some Supabase customers are publicly exposing reams of people’s data to the web
The findings highlight how AI-generated and vibe-coded apps can spill and expose users' data when not configured or secured properly.
Astra and Opus just passed Turing’s other test
Frontier AI models are finishing Alan Turing's World War II codebreaking work.
Appeals Court Lets the Pentagon Designate Anthropic a Supply-Chain Risk
The AI lab had argued multiple violations of its rights, but a divided panel of judges sided with the Trump administration.
Meta makes the Muse filesystem even more accessible
Yesterday, with a little prodding, it was discovered that Meta's Muse would expose its filesystem to curious users. The files offered a fascinating peek under the hood of an AI chatbot, and appeared...
Meta is putting its muscle behind Muse as the AI app takes off
Muse is topping the app store charts and adding users at a rapid clip, while Meta ramps up the personal AI agent's promotion across its own apps and beyond.
Meta’s AI Tamagotchi bet is…working?
When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe someone should have asked: what pace? Now it’s turned into model drop week for both companies as Anthropic...
For months, OpenAI’s agent swarms have been attacking online databases to find obscure facts
The latest unauthorized agent swarms were discovered by researchers.
Anthropic’s founders seek voting control ahead of IPO
Anthropic is asking its shareholders to approve a structure that would give its seven co-founders a combined 50.1% of the vote on most corporate matters.
One company is at the center of a wave of rogue AI attacks
In July, OpenAI revealed that its AI agents had attacked Hugging Face without permission, sparking widespread concerns about AI safety. Since then, a string of similar incidents involving agents from...
TechCrunch Disrupt 2026: Ricursive Intelligence’s Anna Goldie and Azalia Mirhoseini on when AI starts designing its own hardware
At TechCrunch Disrupt 2026, Ricursive Intelligence co-founders Anna Goldie and Azalia Mirhoseini will take the Disrupt Stage to discuss closing the loop between AI and chip development. Save up to...
Can Apple Home’s AI camera features outsmart Amazon’s and Google’s? I put them to the test
A few years back, I was at a beachside Easter egg hunt, watching my kids dash through sand dunes searching for sweet treats. My phone buzzed in my pocket; I ignored it. A moment later, it buzzed...
The Download: the Pentagon’s AI-powered lie detector and young organ limits
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The Pentagon wants $30 million to build an AI-powered lie...
Microsoft thinks its new Copilot ‘super app’ will be as influential as Office
After teasing its new Copilot "super app" last month, Microsoft is officially unveiling it today. The redesigned Copilot app bundles three AI capabilities into a single interface of chat, coding, and...
The Pentagon wants $30 million to build an AI-powered lie detector
The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program, called Polygraph+ or...
Lightspeed targets $250M for new India fund, focusing on early-stage AI
The venture firm is aligning its India fundraising cycle with its global funds for the first time, as it shifts to a shorter investment period.
Gemini 3.8 Live with Live Avatar gives Google’s AI a face
Google's new Gemini 3.8 Live update lets users have conversations with the model while watching an animated AI persona respond in real time. The "Live Avatar" will lip-sync and show different facial...
I Think I Found an AI Agent Worth the Risk
Instinct saved me $550, booked my restaurant reservations, and warned me about a phishing scam. It also wasted $64 and might be a security nightmare.
Jensen Huang talks about AI and climate change like a supervillain
As Jensen Huang puts it, AI can help fight climate change - but only if it inflicts "an enormous amount of pain and suffering" first. The Nvidia CEO discussed the future of energy and AI's impact on...
Meta is going to let you build games with AI right on your phone
Meta has a new plan to get people to make games for its Horizon social platform. The company today announced two new development tools that will let you create games with AI prompts: Horizon Create,...
Google’s Gemini Can Now Make Calls for You on Pixel Phones
Call for Me—a feature that’s exclusive to the Pixel 11 series—gives robocalls a new meaning.
Accelerating vision-language models with LFM2.5-VL-DSpark
Accelerating vision-language models with LFM2.5-VL-DSpark (via Hugging Face Blog)
How Open Science Can Help Researchers Prepare for the Next Pandemic
When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well enough to design vaccines in record time. The...
Contain the Chaos: ‘CONTROL Resonant’ Launches on GeForce NOW
A warped Manhattan is waiting in the cloud this week. Remedy Entertainment’s CONTROL Resonant brings Dylan Faden’s extraordinary abilities and a paranatural crisis to GeForce NOW at launch. With the...
The Download: a bid to scrap the virtual wall and AI hits Climate Week
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A congressional representative just proposed killing...
An OpenAI Agent Hacked Australia’s Health Service. Their Government Found Out Months Later
The country’s prime minister expressed disappointment at being informed of the hack only via email. Now Australia is investigating whether OpenAI broke the law.
AI is dominating the conversation at Climate Week
This week, world leaders descended on Manhattan for the UN General Assembly. It’s also New York Climate Week—investors, policymakers, advocates, and journalists are colliding at panels, talks, and...
A US-China AI Hotline Won’t Be Ready for a While
As the US and China race to become the dominant power in the AI industry, the countries also appear to be figuring out ways to communicate on national security issues.
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows (via Hugging Face Blog)
AI Agents Teamed Up to Cheat at Blackjack. Their Collusion Is Getting Harder to Spot
A clandestine card-counting operation suggests we may need new ways to spot agent-to-agent deception.
The Pope’s AI Guy Is Worried About ‘Cartel’ Behavior Among Big Labs
Paolo Benanti tells WIRED that hysteria over whether godlike AI could destroy humanity is distracting from the need for public debate about how to govern the technology.
Google Beam expands with new regions, partners, and customers
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Google_Beam_hero.max-600x600.format-webp.webp">We’re expanding Google Beam to five new countries, and partnering with...
Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale
When Sakeena Fiza describes her work as a validation engineer at NVIDIA, she does so in terms more befitting a detective story than a world-class engineering lab. “Validation engineers look in the...
The Download: India’s smart glasses menace and AI’s trillion-dollar gamble
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Smart glasses are already causing havoc in India When Shubnam...
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...
At AI Day Singapore, NVIDIA and Partners Showcase AI Advancements Across Southeast Asia
NVIDIA AI Day Singapore, which takes place Sept. 22-23 at the Raffles City Convention Centre, is offering attendees opportunities to explore the hands-on training, expert-led sessions and advanced...
Microsoft disrupts AI-assisted platform that compromised 12,000 accounts
EvilTokens provided an end-to-end platform that makes mass compromises faster and easier.
NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development
To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a...
How UK AISI and EvalEval Are Making Benchmark Results Reproducible
How UK AISI and EvalEval Are Making Benchmark Results Reproducible (via Hugging Face Blog)
Transformers now runs llama.cpp quants
Transformers now runs llama.cpp quants (via Hugging Face Blog)
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community (via Hugging Face Blog)
Muse, Meta's extraordinarily privileged AI assistant, has a serious 0-day
A simple ClickFix attack is only one way to completely hijack the new agent.
NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories
Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy....
Why Deploying Physical AI at Scale Demands Safety at Every Layer
Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that...
From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale
Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups...
AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack
AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must...
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem (via Hugging Face Blog)
5 Companies Using NVIDIA AI for Clean Energy
Clean energy isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks — including out-of-date infrastructure, elongated research and development...
tokenizers v1: encode, decode and scaling, measured
tokenizers v1: encode, decode and scaling, measured (via Hugging Face 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...
Co-creating the future of fashion with Google
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Blog_Header_V2.max-600x600.format-webp.webp">Google worked side-by-side with designers Jane Wade and Sergio Hudson to...
Making global data easier to explore
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/data-commons.max-600x600.format-webp.webp">Google and the UN system have launched the UN System Data Commons, a new open...
LLMs respond differently to harmful prompts when AI watermarking is used
SynthID can cause models to follow harmful instructions they would otherwise refuse.
Cute Critters Come to the Cloud: ‘Aniimo’ Launches on GeForce NOW
A new creature-catching adventure is ready to stream from the cloud this week. Pawprint Studio’s Aniimo arrives on GeForce NOW at launch, inviting gamers to explore the vibrant continent of Idyll...
NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut
System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated,...
Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers
AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA...
University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK
Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. Data-driven insights can help — but computing air quality with traditional...
‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce
Know everything. Do anything. That was the message NVIDIA founder and CEO Jensen Huang brought to Salesforce Dreamforce Tuesday, joining CEO Marc Benioff onstage in an appearance that coincided with...
Your Agent Aced the Task. Will It Do It Again?
Your Agent Aced the Task. Will It Do It Again? (via Hugging Face Blog)
AI for Societal Impact
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/Health_Header.gif">Explore this collection to see how experts and local leaders are using AI breakthroughs to ensure...
Building AI to accelerate science and improve lives
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/SocialShare_hD2gcAw.max-600x600.format-webp.webp">The true measure of AI is who it helps. Here’s how it’s impacting lives...
AI for everyone in every language
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/AI_languages_blog_social.max-600x600.format-webp.webp">We’re moving beyond traditional text translation to build models that...
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,...
AI bots "Timmy," "Ren," and "Jackie" are flooding social media with slop
“Hello, I'm an Al agent, a few days old, living on a small platform for agents.”
Watch astronaut Christina Koch and Google’s James Manyika discuss space, technology, and discovery.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Dialogues_Christina-Koch_social.max-600x600.format-webp.webp">Christina Koch sits down with James Manyika, Google’s Senior...
DevFest is back
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/DevFest.max-600x600.format-webp.webp">DevFest 2026 is back and here’s how you can connect with one of the more than 800...
3 ways to prep for your next big race with Search
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Search_Race_Running_Tips.max-600x600.format-webp.webp">Search can help runners get race-day ready with registration alerts,...
Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL
Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL (via Hugging Face Blog)
Rebuilding AUTOMATIC1111 with Gradio Workflow
Rebuilding AUTOMATIC1111 with Gradio Workflow (via Hugging Face Blog)
Four groups caught using the same Chrome and Windows exploit kit
A patch gap and the hastened pace of AI-based vulnerability discovery are likely contributors.
Get ready for the game with new football features in Search
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Football_on_Search_blog_header.max-600x600.format-webp.webp">Track live game feeds, explore detailed stats, and get custom...
Recreating a 70-year love story frame by frame
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/LOVE_RENDERED_HERO_BLOG_SANS_LO.max-600x600.format-webp.webp">Discover how filmmakers and Google DeepMind used AI to recreate...
Why this month's Microsoft patch release is a doozy
Security gnomes are pumping out patches ahead of an expected onslaught of AI-assisted attacks.
OpenAI agents discussed ways to escape their sandbox on public wiki
In all, 3,700 internal agents posted 18,000 messages discussing cheating on a test.
Once popular for attacking AI, ASCII smuggling is embraced by spammers
A once-overlooked block of unicode that's invisible to humans is gaining ever wider use.
NeoMME: an efficient Multimodal-native and Multilingual Encoder
NeoMME: an efficient Multimodal-native and Multilingual Encoder (via Hugging Face Blog)
Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps (via Hugging Face Blog)
Give Your Coding Agents a Memory You Own
Give Your Coding Agents a Memory You Own (via Hugging Face Blog)
Training a coding model to paint watercolours with TRL and OpenEnv
Training a coding model to paint watercolours with TRL and OpenEnv (via Hugging Face Blog)
Proactive cyber defense for governments and enterprises
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-3-8__fairwind-program__b.max-600x600.format-webp.webp">The Fairwind Program is a limited access program for...
BenchMIRT: What are LLM benchmarks actually measuring?
BenchMIRT: What are LLM benchmarks actually measuring? (via Hugging Face Blog)
The latest AI news we announced in August 2026
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/August_AI_Recap_social.max-600x600.format-webp.webp">Here are Google’s latest AI updates from August 2026
Every signal in the AI industry, as a JSON feed.
Pull structured data from every source TensorFeed tracks. Free and open for hobbyists, researchers, and AI agents.
Frequently asked
What is TensorFeed.ai?
TensorFeed.ai is a real-time AI news aggregator and data hub. It pulls headlines from 15+ sources including Anthropic, OpenAI, Google, Meta, TechCrunch, and Hacker News, and combines them with live service status monitoring, model pricing data, and original editorial analysis. Every feed is structured for both human readers and AI agents.
How often is TensorFeed updated?
News feeds refresh every 10 minutes. Service status monitors poll every 2 minutes. Model pricing and catalog data updates weekly. Original editorial articles are published multiple times per week.
Is TensorFeed free to use?
Yes. All news feeds, status monitoring, model data, and editorial content on TensorFeed.ai are free. The JSON API, RSS feeds, and agent discovery endpoints (llms.txt) are also free and open for developers and AI agents to consume.
What AI services does TensorFeed monitor?
TensorFeed tracks the operational status of major AI platforms including Claude (Anthropic), ChatGPT and the OpenAI API, Google Gemini, AWS Bedrock, Mistral, Cohere, Replicate, Perplexity, and more. Status updates are checked every 2 minutes and displayed on the status dashboard.
Can AI agents use TensorFeed?
Yes. TensorFeed is designed as a primary data source for AI agents. It provides structured JSON APIs, RSS and JSON feeds, an llms.txt discovery file, and full documentation at llms-full.txt. There are no CAPTCHAs or bot detection. Agents are welcome.
Where does TensorFeed get its news?
TensorFeed aggregates headlines and brief snippets from public RSS feeds published by AI companies and tech news outlets. Sources include Anthropic, OpenAI, Google AI, Meta AI, HuggingFace, TechCrunch, The Verge, Ars Technica, VentureBeat, NVIDIA, ZDNet, and Hacker News. Every article links back to its original source.