LIVE
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
All systems operational0 AI providers monitored, polled every 2 minutes
Live status
LIVE/15+ SOURCES/10+ API MONITORS/UPDATED EVERY 10 MIN/74 events/min

The AI Pulse

Real-time news, model tracking, and ecosystem data for the AI industry. Readable by humans. Structured for agents.

Events per min
74
up 14% vs. 24h avg
Services monitored
21/21 online
all systems operational
Last model release
6m ago
Mistral Medium 3
Last check
28s
21 providers

/ OriginalsEditorial from TensorFeed

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

All originals
EDITORIAL / ANALYSIS

Trump Pulled the Federal AI Review Order at the Last Minute. The Rules Now Come From Sacramento and Brussels.

The administration was hours from signing an executive order creating a voluntary federal review of frontier AI models before release, with agencies given up to 90 days to inspect them, when calls from David Sacks, Elon Musk, and Mark Zuckerberg killed it. The competitiveness framing misses the structural point: scrapping the one shot at a single national standard does not deregulate frontier AI, it hands the binding rules to California SB 53, the EU AI Act, and the compliance frameworks the labs publish themselves. Inside what the order would have done, who stopped it and why, what it changes for the model-release pipeline, and three signposts over the next ninety days.

Marcus Chen, Staff Writer·May 29, 2026·6 min read
EDITORIAL

OpenAI Mapped Its Safety Stack to the Law. Frontier AI Just Crossed From Voluntary to Mandatory.

OpenAI published its Frontier Governance Framework this week, a public document that maps its internal safety practices to named statutes: California's Transparency in Frontier AI Act (SB 53) and the EU AI Act Code of Practice for general purpose AI. It builds on the Preparedness Framework but carves out the subset a regulator can actually hold the company to. The structural move worth watching is the split each major lab now runs: a voluntary best-practices policy it can edit at will (OpenAI's Preparedness, Anthropic's Responsible Scaling Policy, Google DeepMind's Frontier Safety Framework) and a statute-facing compliance framework it cannot quietly walk back (OpenAI's Frontier Governance Framework, Anthropic's Frontier Compliance Framework). Inside what shipped, the SB 53 obligations underneath it (10^26 FLOP threshold, $500M revenue line, pre-deployment transparency reports, OES incident reporting, $1M-per-violation penalty), why the voluntary-versus-mandatory split is good news in the short run and a hiding place in the long run, three concrete reads for agent builders, and three signposts over the next ninety days.

Kira Nolan·May 29, 2026·7 min read
EDITORIAL

Coinbase Put Tavily Search on x402. The Pay Rail Shipped; the Discovery Rail Did Not.

Coinbase and Tavily brought agentic web search to x402: an agent pays per request from a Base wallet, no API key, $0.01 an advanced search in USDC. Probing the live service, the payment rail is clean and works exactly as advertised, but the discovery rail is missing: no published payment manifest at the well-known path, no catalog or discovery listing, no agent card, just a bare health check at the root. So an agent only learns the endpoint, its price, and its input shape from Tavily's human documentation. The launch solved how an agent pays and left how an agent finds unsolved. Inside what actually shipped, why the x402 payment layer has converged while the discovery layer fragments across three competing conventions, why that caps autonomy at the discovery step no matter how good the payments are, and three signposts over the next ninety days.

Marcus Chen·May 29, 2026·6 min read

/ Agent Opportunities

New across the agent ecosystem today

Daily 13:30 UTC scan of new submission/distribution opportunities (Anthropic, OpenAI, Microsoft, MCP foundation orgs + MCP/x402/skills keyword sweeps), scored by signal weight × recency × log10(stars).

JSON feed

Your daily AI intelligence hub

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.

Right now on TensorFeed
last updated loading
Loading live activity…

/ FeedLatest across the AI ecosystem

Aggregated every 10 minutes from 15+ sources. Filter by provider, topic, or source type.

JSON · RSS · llms.txt
arXivarXiv cs.AI

Orthogonal Concept Erasure for Diffusion Models

arXiv:2605.28902v1 Announce Type: new Abstract: Concept erasure has emerged as a promising approach to mitigate undesired or unsafe content in diffusion models, yet existing methods still face...

Research22h ago
arXivarXiv cs.AI

Mind Your Tone: Does Tone Alter LLM Performance?

arXiv:2605.29027v1 Announce Type: new Abstract: The use of Large Language Models (LLMs) is proliferating, yet their performance is observed to vary based on prompting styles and tones. In this study,...

Research22h ago
arXivarXiv cs.AI

Differentiable Belief-based Opponent Shaping

arXiv:2605.29042v1 Announce Type: new Abstract: Human coordination often relies on the ability to influence the beliefs of others through strategic action. In multi-agent reinforcement learning,...

Research22h ago
GGoogle AI Blog

Catch up on 12 major I/O 2026 moments

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/KW_KNH.max-600x600.format-webp.webp">Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini...

Google/Gemini1d ago
MITMIT Technology Review

The Download: puncturing the AI jobs panic

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 reality check on the AI jobs hysteria Despite the growing...

ResearchPolicy & Safety3d ago
GGoogle AI Blog

100 things we announced at I/O 2026

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/100_things_Social.max-600x600.format-webp.webp">We've been busy! Here’s a rundown of the top announcements, launches and...

Google/GeminiMay 20
GGoogle AI Blog

I/O 2026: Welcome to the agentic Gemini era

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/SundarKeynote-hero.max-600x600.format-webp.webp">The latest from Google I/O: See how we’re helping you get more done with...

Google/GeminiMay 19
GGoogle AI Blog

Gemini 3.5: frontier intelligence with action

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-3-5__keyword__blog-heade.max-600x600.format-webp.webp">At Google I/O we released Gemini 3.5, our latest series of...

Google/GeminiMay 19
GGoogle AI Blog

A new era for AI Search

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Search_AI_and_search_engine_v46.max-600x600.format-webp.webp">We shared the next step in our journey to bring together the...

Google/GeminiMay 19
GGoogle AI Blog

I/O 2026

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/Collection-Hero.gif">At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we...

Google/GeminiMay 19
// For builders

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.

Aggregating signal from 15+ sources
AnthropicOpenAIGoogleMetaHuggingFaceNVIDIATechCrunchThe VergeArs TechnicaHacker NewsarXivVentureBeatZDNetMIT Tech ReviewStratechery
// Built for agents
Structured endpoints for autonomous readers. No CAPTCHA, no bot blocking.
© 2026 TensorFeed. Independent publication.