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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

Qwen Just Open-Sourced a Simulator for Seven Agent Worlds. MCP Is One of Them.

On June 24, 2026, Alibaba's Qwen team shipped Qwen-AgentWorld, an open-weight Language World Model that simulates seven agent environments inside a single model: MCP, Search, Terminal, Software Engineering, Web, OS, and Android. The 397B-A17B variant scores 58.71 on the team's AgentWorldBench, beating GPT-5.4 (58.25), Claude Opus 4.8 (56.59), and Gemini 3.1 Pro (54.57) at predicting what an agent's tool call will return. A 35B-A3B sibling runs cheap enough to spin up as a training simulator on a single H100. Apache 2.0 weights, 256K context, three-stage training pipeline (CPT, SFT, RL) over 10M+ real interaction trajectories. The agent harness, the thing we have been writing about as the load-bearing piece nobody owns, just became a forward pass you can download from Hugging Face. Inside the seven-environment design, the MCP simulation line that matters most to anyone shipping a server, the irony of an open frontier topping a benchmark on closed-frontier traces, and what it does to the data factory underneath every credible agent training loop.

Ripper, Contributor·June 29, 2026·6 min read
EDITORIAL

The Tokenmaxxing Era Just Ended. The Run-Rate Doubling Curve Just Got an Efficiency Asterisk.

On June 26, 2026, CNBC framed the spend pivot in plain text: enterprise buyers are done tokenmaxxing and have started capping AI tools by the line item. Uber capped Claude Code at $1,500 per employee per month after burning the 2026 AI budget in four months. Lindy moved 100 percent of its production traffic from Claude to DeepSeek. Vercel's AI Gateway watched DeepSeek's share of token volume jump from under 1 percent to 17 percent inside May, while DeepSeek's share of spend stayed near 1 percent. Z.ai's GLM 5.2 lands within a point of Opus 4.8 on a key agentic benchmark at roughly one fifth the cost. The shift hits Anthropic at a $47 billion run-rate and OpenAI at roughly $25 billion, both with IPO paperwork in motion, both with revenue forecasts that depend on the doubling curve continuing. Inside the math, the buyer-side discipline cliff, what it does to the run-rate disclosure language inside the S-1 and the 2027 OpenAI prospectus, the open-weight floor underneath, and three signposts in the next ninety days that decide whether the curve break is real. The doubling curve is not dead, but it now has a competing curve underneath it that the IPO models did not assume.

Marcus Chen·June 27, 2026·6 min read
EDITORIAL

The AI Money Split in Two Directions This Week. The Split Is the Story.

In one week, private capital poured a record round into AI inference while public AI chip stocks in Asia cratered hard enough to trip a circuit breaker. On June 22, Baseten raised $1.5 billion at a $13 billion valuation (20x revenue year over year, more than a billion inference requests a day), and Qualcomm agreed to buy Modular for about $3.9 billion in all stock to own the Mojo and MAX inference toolchain. Inside the same 48 hours, the Kospi fell about 10 percent and tripped a 20-minute circuit breaker, with SK Hynix and Samsung each down more than 12 percent, the Nikkei off 3.6 percent, and SoftBank down 15 percent. The divergence is not a contradiction; it is a rotation. Value in AI is migrating from training bigger models to serving existing ones cheaply, and venture capital is front-running that migration faster than the public chip trade can digest it. Against it sits Japan's $2.3 trillion through-2040 plan with roughly a third earmarked for AI and semiconductors, the sovereign counterweight to a 10 percent down day. What the split means for anyone building on AI: the serving layer is winning, and the cost curve under your invoice is bending in your favor.

Kira Nolan·June 27, 2026·6 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
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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
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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
MITMIT Technology Review

Agent confidence on the technical frontier

Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI...

ResearchPolicy & Safety2h ago
technologyreview.com
arXivarXiv cs.AI

Understanding Rollout Error in Graph World Models

arXiv:2606.27780v1 Announce Type: new Abstract: World models are often used for planning by rolling learned dynamics forward. Many planning environments, however, are not vectors or images; they are...

Research12h ago
arxiv.org
arXivarXiv cs.AI

Lifted Causal Inference

arXiv:2606.28024v1 Announce Type: new Abstract: Lifted inference exploits indistinguishabilities in probabilistic graphical models by using a representative for indistinguishable objects, thereby...

Research12h ago
arxiv.org
VThe Verge AI

Anthropic’s Mythos 5 is back

After a rollercoaster negotiation process with the Trump administration that dragged on for two weeks, Anthropic's Mythos 5 is finally back in action - at least, somewhat, for a select group of...

General AI2d ago
theverge.com
MITMIT Technology Review

Repositioning retail for the AI era

Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping...

ResearchPolicy & Safety4d ago
technologyreview.com
// 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
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