AiHub.

Chips Lead story

The US let NVIDIA sell chips to an empty office in China

Concerns are being raised that neither the Commerce Department nor Nvidia are doing their due diligence when it comes to vetting Chinese firms cleared to handle the company's H200 AI chips. According to The New York Times, New Matrix is on the list of approved firms, yet its offices are empty, "a hollow gray shell […]

Why it matters

Capital and consolidation are reshaping which teams control important pieces of the AI stack.

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The ledger

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Quota reset Gemini

Gemini usage limits reset

@_mohansolo: Resetting everyone’s Gemini and Argon quota on Antigravity. Lots of updates this week so want to make sure everyone can build for the weekend. Lots more to come next week!

observed

1 source
  • @_mohansolo — Resetting everyone’s Gemini and Argon quota on Antigravity. Lots of updates this week so want to make sure everyone can build for the weekend. Lots more to come next week!

Dev tool Claude Code

Claude Code adds automatic environment persistence for cloud sessions

Claude Code introduces automatic environment setup and persistence for cloud sessions on Pro, Max, and Ultra, saving dependencies, network access, and API keys for subsequent runs.

observed

1 source
  • @claudedevs — We've made it easier to get your repo running in Claude Code cloud sessions on Pro, Max, and Ultra. Claude figures out what dependencies, network access, and API keys it needs, then saves the

Model release Meta AI

Meta AI brings specialized models trained using Muse Wonder to its platform

Specialized models trained using Muse Wonder are being brought to Muse and Meta AI to handle complex tasks.

observed applies today

1 source
  • @aiatmeta — Today we're bringing specialized models trained using Muse Wonder to @Muse and Meta AI, giving users access to some of Muse Wonder's frontier capabilities for complex tasks at work and in everyday

Dev tool Unsloth

Unsloth Dynamic V3.1 GGUFs released for Qwen3.8-Flash

Unsloth introduced Dynamic V3.1 GGUFs for Qwen3.8-Flash-Next, claiming 50% fewer tokens and 15% higher accuracy compared to same-size models.

observed

1 source
  • @unslothai — Qwen3.8-Flash-Next GGUFs now run faster with less thinking and less token use. Unsloth Dynamic V3.1 GGUFs bring thinking & token use to match 95% of full precision Qwen3.8-Flash. Results: 50% fewer

Dev tool Antigravity

Antigravity update announced

@_mohansolo: Just rolled out remote agents in Antigravity so now you can just fire and forget anywhere. It’s been the way we’ve been working at Google for some time so excited for you all to give it a go! More to come tomorrow 👀

observed applies now

1 source
  • @_mohansolo — Just rolled out remote agents in Antigravity so now you can just fire and forget anywhere. It’s been the way we’ve been working at Google for some time so excited for you all to give it a go! More to

Model release Inkling 2 Small

Inkling 2 Small released

Inkling 2 Small model released alongside a blog post detailing its training process and alignment findings.

observed

1 source
  • @johnschulman2 — Proud to release our new model, Inkling 2 Small. Check out our blog post -- it includes a lot of detail about our training process. To me, the most interesting part of this release was what we learned

Just in

Topic radar

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Quick takes

Growing political resistance and community opposition following recent elections are forcing AI infrastructure developers to renegotiate public agreements, abandon non-disclosure pacts, and formalize localized resource compacts to protect planned compute expansions.Private capital concentration at multi-trillion valuations and imminent public listings are colliding with plateauing enterprise software spending, as corporate cost controls and model price reductions temper initial revenue expansion assumptions.Heightened congressional scrutiny and intelligence investigations into executive contacts and intermediary shell companies are intensifying regulatory pressure on advanced AI accelerator supply chains and export compliance.Developer platforms are shifting investments from standalone code generation toward repository-wide context integration, security auditing, and automated incident diagnosis through targeted acquisitions and workflow partnerships.Intensifying post-election opposition and legislative calls for data center moratoriums are compelling infrastructure operators to eliminate non-disclosure agreements and formalize community compacts to protect ongoing capital commitments.Empirical benchmarking reveals that scaffolding architectures and execution harnesses can influence agent benchmark success more significantly than base model weights, shifting focus toward persistent memory and runtime oversight.Record private valuations and upcoming public offering preparations are occurring alongside data showing enterprise software spending is plateauing as corporate customers introduce stricter cost controls.Physical AI infrastructure faces mounting political resistance and calls for data center moratoriums following election outcomes, prompting lab operators to revise community policy frameworks and drop non-disclosure agreements with local officials.

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Market pulse

bullish
AI pulse 65/100

AI-linked equities are broadly positive, with Advanced Micro Devices +11.0%, Taiwan Semiconductor Manufacturing +6.33%, Super Micro Computer +6.20% leading the tracked basket.

TickerCompanyMove
AMD Advanced Micro Devices +11.0%
TSM Taiwan Semiconductor Manufacturing +6.33%
SMCI Super Micro Computer +6.20%
ARM Arm Holdings plc +4.74%

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