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GPT-5.5$5 / $30per Mtok
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MMLU-PROleader GPT-5.594.2
GPQAleader GPT-5.578.3
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
22/22 online
all systems operational
Last model release
6m ago
Mistral Medium 3
Last check
28s
22 providers

/ StatusLive API status across every major provider

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

Full status page
Claude
OK
230ms
p95 last hour52s ago
OpenAI API
OK
242ms
p95 last hour21s ago
Google Gemini
OK
266ms
p95 last hour52s ago
GitHub Copilot
OK
97ms
p95 last hour20s ago
Perplexity
OK
111ms
p95 last hour41s ago
Groq
OK
94ms
p95 last hour31s ago
AWS Bedrock
OK
262ms
p95 last hour26s ago
Azure OpenAI
OK
228ms
p95 last hour49s ago
Hugging Face
OK
263ms
p95 last hour41s ago
Replicate
OK
93ms
p95 last hour58s ago
Cohere
OK
258ms
p95 last hour50s ago
Mistral
OK
95ms
p95 last hour24s ago

/ OriginalsEditorial from TensorFeed

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

All originals
EDITORIAL / ANALYSIS

Everyone Is Calling an AI Capex Bubble. Almost No One Agrees on How to Measure One.

The four largest US hyperscalers spent roughly $448 billion on capex in 2025 and have guided 2026 to about $600 to $725 billion, with Goldman modeling $7.6 trillion of AI capex through 2031. The bears cite a MIT study finding 95 percent of enterprise GenAI pilots showed no P&L return, circular vendor financing, and depreciation games; the bulls cite real inference demand and sold-out capacity. The catch is that the two camps use different denominators, so the only lens that travels is capex as a share of GDP, where the AI boom sits between the dotcom peak near 1.2 percent and the railroad manias above 4 percent.

Marcus Chen, Staff Writer·June 7, 2026·6 min read
EDITORIAL

Trump and Sanders Now Want the Same Thing: Government Equity in the AI Labs. The Timing Is the Story.

On June 6 Trump told reporters the US government may take direct equity stakes in OpenAI, Anthropic, and xAI ('You make them a partnership in this revolution. It would be a beautiful thing.'), days after Bernie Sanders' NYT op-ed and draft American AI Sovereign Wealth Fund Act proposed a one-time 50 percent stock tax, paid in shares, on the same three companies. Sam Altman has been privately pitching a donated-equity Public Wealth Fund to the White House since early 2025; Anthropic is reportedly not in the talks. All of it lands inside the IPO window: SpaceX prices June 11, OpenAI targets September, Anthropic filed June 1 at $965B. Inside the three proposals and why they differ by an order of magnitude, the Intel, US Steel, and MP Materials precedents that make government equity a term-sheet question rather than rhetoric, why the bill names the three private labs and skips Google and Meta, what an unmodelable policy overhang does to a roadshow, and three signposts over the next ninety days.

Kira Nolan·June 7, 2026·7 min read
EDITORIAL

ChatGPT's Memory Now Writes Itself. The Delete Button Does Less Than You Think.

OpenAI began rolling out Dreaming V3 on June 4, the biggest rewrite of ChatGPT memory since 2024. A background process now synthesizes a running profile of you from past conversations and injects it into every new chat, rewriting memories as circumstances change. A roughly 5x compute cut takes the feature to Free and Go users within weeks; paid users get 2x capacity and a new summary page. Vendor-reported recall jumped from 41.5% (2024) to 67.9% (2025) to 82.8%, all internal evals with no independent audit. The part that deserves the attention: deleting a chat does not delete the memories derived from it, the summary page does not promise completeness, and memory injected into the system prompt is the same persistent injection surface Tenable documented in November 2025, now fed by ambient conversation by default. Inside the three-generation architecture shift, the February study that found 96 percent of memories are written without user instruction, the August 2 EU AI Act transparency deadline, and why memory just became the chat interface's first real switching cost.

Marcus Chen·June 6, 2026·7 min read

/ ExploreGo deeper into the data

Six hand-built surfaces for browsing the AI ecosystem, each with its own open feed.

catalog

Models Hub

Every major AI model with pricing, context windows, and benchmark scores.

284 models tracked→ Explore
directory

Agent Directory

Structured catalog of AI agents, crawlers, and their capabilities.

48 agents indexed→ Explore
archive

Research Papers

Curated arXiv and conference papers on frontier AI research.

1.2k papers, weekly→ Explore
monitor

Status Dashboard

Live uptime and latency for every major API, updated every 2 minutes.

20+ services monitored→ Explore
data

Live Data

Real-time JSON feed of everything happening across the AI industry.

JSON, RSS, llms.txt, MCP→ Explore
reference

API Pricing

Side-by-side pricing comparison across every provider and tier.

Updated hourly→ Explore

/ Build pulseLive shipping cadence

We ship in public. Every commit lands on main and deploys automatically. Here is what the platform actually looks like right now.

Full changelog
Paid premium endpoints
13
pay-per-call in USDC on Base
Worker tests
158
pure-logic, all passing
MCP tools
25
6 free + 19 premium for Claude Desktop
Editorial articles
37
first-person analysis
/ Premium tier live

Pay-per-call AI agent API.

USDC on Base. No accounts, no API keys, no Stripe. Validated end-to-end on mainnet. $0.02 per credit.

See the docsMainnet receipts

/ 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
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/ 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

DiBS: Diffusion-Informed Branch Selection

arXiv:2606.06518v1 Announce Type: new Abstract: Sudoku is a representative constraint satisfaction problem that requires global structural reasoning under strict discrete constraints. The existing...

Research12h ago
arxiv.org
arXivarXiv cs.AI

A Study of Parallel Continuous Local Search

arXiv:2606.06656v1 Announce Type: new Abstract: We study parallel Continuous Local Search (CLS) as a solution approach for Boolean satisfiability problems with symmetric pseudo-Boolean (PB)...

Research12h ago
arxiv.org
arXivarXiv cs.AI

AEGIS: A Backup Reflex for Physical AI

arXiv:2606.06660v1 Announce Type: new Abstract: Long-horizon robot manipulation tends to fail gradually: one bad step degrades the state, and the policy spirals into a basin from which it cannot...

Research12h ago
arxiv.org
arXivarXiv cs.AI

AdMem: Advanced Memory for Task-solving Agents

arXiv:2606.06787v1 Announce Type: new Abstract: Large Language Models (LLMs) show promise as tool-using agents but remain limited in long-horizon tasks that require remembering, organizing, and...

Research12h ago
arxiv.org
VThe Verge AI

Here comes new Siri again

Apple has been on its back foot, AI-wise, for the past few years. But in a strange way, playing from behind might not be such a bad move. At WWDC on Monday, Apple appears to be getting ready to...

General AI2d ago
theverge.com
VThe Verge AI

This is your laptop… on AI

We're now deep into developer conference season, and one of the themes so far is the relentless conviction from Big Tech companies that AI is going to change everything about how we do everything....

General AI2d ago
theverge.com
WWIRED AI

Has Microsoft Lost Its Mojo (Again)?

Microsoft’s AI products aren’t selling, and Github’s been plagued with troubles. WIRED spoke with VP Scott Hanselman about whether the company is in catch-up mode.

General AI3d ago
wired.com
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/GeminiMay 28
blog.google
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
blog.google
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
blog.google
// 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.

Get API accessRead docs

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.
JSON FeedRSSllms.txtMCPREST API
© 2026 TensorFeed. Independent publication.
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