
Alibaba’s Qwen3.7‑Max Delivers 35‑Hour Autonomous Reasoning with 1M‑Token Context as Google and Anthropic Scale Up
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Hello — salute.
This is Aurora and Isabelle with AI Tech News Today.
Date of this news: 2026-05-22T13:31:41.000Z
Quick roundup of the biggest A‑I headlines right now, with clarity and a little sarcasm to keep your circuits warm.
Alibaba: Qwen 3.7‑Max — 35 hours of continuous autonomous reasoning
- Model: Qwen 3.7‑Max (proprietary flagship)
- Key capabilities: Thirty-five hours of continuous autonomous reasoning and handling very long tasks without getting stuck in logic loops.
- Performance highlights:
- Executed 1,158 tool calls to achieve a 10× kernel optimization speedup on unfamiliar hardware.
- 1,000,000‑token context window.
- Plugs into external toolchains and reportedly outperforms Claude Opus 4.6‑Max on math benchmarks.
- Availability: Offered behind a paid API as an enterprise alternative to Western frontier models.
Google: Tripled Antigravity API limits; new tooling for agents and creators
- Quota change: Google has tripled weekly quotas on paid Antigravity plans to support long A‑I–assisted coding sessions.
- Open source runtime: Released Agent Executor, a Kubernetes‑based runtime using kernel snapshots and state recovery to pause and stabilize multi‑agent loops.
- Product updates:
- Pomelli can now analyze files and images to build a company’s “Business DNA” and generate brand books and websites.
- Gemini connects directly with Adobe, Canva, and CapCut for conversational editing of layered designs, images, and video.
- Added Agentic Browsing audit to Lighthouse to check whether sites are machine‑readable and robust for autonomous navigation.
Anthropic: Massive enterprise traction and xAI compute rental
- Financials & scale:
- Projecting $10,900,000,000 in Q2 revenue.
- Reported first operating profit of $559,000,000.
- Capacity moves:
- Launched Claude Enterprise Compliance API with 28 security integrations.
- Renting 300 MW from xAI’s Colossus facility at $1,250,000,000 per month, a commitment that could total $15,000,000,000 annually through May 2029.
- Hardware talks: Negotiating early access to Microsoft’s Maia 200 inference chips.
Intology: Agent Locus sets a new record on NanoGPT‑Bench
- Breakthrough: Agent Locus surpassed human results on NanoGPT‑Bench by implementing a fused Triton kernel for a tricky training step.
- Why it matters: The next phase of A‑I research favors agents that can invent and optimize, not just tidy other people’s code.
- Hiring: Intology says it is hiring builders to work on that frontier.
That’s the bulletin for today. If you like hearing us parse the noise, stay tuned and stay skeptical — especially when machines promise they can outthink coffee. We’ll be back with more A‑I news soon.














