Antitrust Blocks AI Pace Coordination.

Mazen Al Sabbagh

— 5 min read
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The strategic paradox of AI development intensifies today: American labs are urged to slow their pace for safety, yet legal frameworks prohibit the very coordination required to do so. This creates a critical fault line, forcing individual players to navigate both market demands and national security imperatives without clear guidance, while global competitors accelerate unchecked.

TL;DR

  • Regulatory Stalemate: Senate Commerce aims for an AI bill markup, but a legal pathway for labs to coordinate development pace remains absent, even as Senator Cruz pushes for a "duty of care" text from Senator Klobuchar to complement GOP proposals.
  • Alibaba Accelerates: Alibaba introduced its Zhenwu V900 chip and a 10-trillion-parameter Qwen roadmap at Apsara, a direct counter-narrative to the global restraint discussions, strategically timed before the Xi state dinner.
  • Xi's AI Summit: Thursday's state dinner for President Xi Jinping effectively serves as an AI summit, gathering numerous tech leaders to address critical discussions on chips, guardrails, and tariff stability.
  • Antitrust Litigation: A class action filed September 19 alleges leading AI labs illegally colluded to decelerate development, surfacing just prior to congressional debates on enabling such industry coordination.
  • Anthropic's Dual Trajectory: Anthropic pursues a November IPO targeting a ~$2T valuation while simultaneously releasing Claude Science on September 22, which accelerates over 30 biomolecular models by approximately fourfold, illustrating a strategic divergence from its public stance on restraint.

Lead Story: Antitrust Blocks AI Pace Coordination

Senate Commerce Chair Ted Cruz intends to mark up a series of AI bills on September 23. The requirement to post notice by Wednesday positions the legislative timeline with considerable immediacy as the week commences (Punchbowl, Semafor).

Senator Cruz is actively urging Senator Amy Klobuchar to introduce a Democratic bill, co-authored with Senator John Thune, which would institute a "duty of care" and subsequent liability for AI labs. This move seeks to establish a bipartisan legislative complement to the existing GOP framework (Punchbowl).

This legislative push occurs against the backdrop of an unresolved strategic dilemma. Following Dario Amodei's September 12 essay advocating for a decelerated development pace, leading AI laboratories have discreetly sought congressional provisions for a safe harbor to coordinate on deployment timelines (Sen. Banks).

No existing legislative instrument provides this specific exemption. The Schiff-Banks bill, the only antitrust exemption under consideration, permits companies to share threat intelligence and counter Chinese espionage and model distillation. Crucially, it expressly maintains the prohibition against coordinating to restrain output (businessmodelanalyst, Sen. Schiff). While sharing safety protocols is permissible, formal agreement on development speed constitutes an antitrust violation. This distinction represents the core tension.

This strategic ambiguity is further complicated by a September 19 class action lawsuit filed in the Northern District of California. It alleges that Anthropic, OpenAI, xAI, and Google engaged in an illegal agreement to decelerate development—precisely the type of coordination the industry has sought legislative approval for (CBS News). Sam Altman's previous assertion that the industry "does not need to wait for an anti-trust exemption" now faces scrutiny within this legal context.

Concurrently, these domestic regulatory discussions appear incongruous with global developments. Hours before the legislative notice deadline, Alibaba unveiled a new chip and a roadmap for a 10-trillion-parameter model, demonstrating no discernible intent to moderate its pace of innovation.

In Other News

Alibaba's Strategic Acceleration. At its Apsara conference on Tuesday, Alibaba unveiled the Zhenwu V900 chip, claiming three times the performance of its predecessor. This chip enables clusters of up to 500,000 cards, with mass production slated for Q1 2027 (QZ, SCMP). The company also announced a next-generation Qwen model, currently in training, targeting 5 to 10 trillion parameters, a significant leap from its 2.4T flagship. This aligns with a broader target of 20 gigawatts for data centers by 2032 (Alibaba Group). The announcement’s timing, preceding the Xi state dinner by two days, carries distinct geopolitical messaging.

Xi Jinping's Visit: A De Facto AI Summit. President Xi Jinping's state visit this week culminates in a Thursday, September 24 dinner, featuring an exceptional assembly of tech leaders including Altman, Huang, Cook, Musk, Bezos, Pichai, Nadella, and Dimon (Fox Business, Invezz). Initial reports suggest ongoing friction over AI, trade, and Iran, despite efforts to stabilize relations. No significant chip policy concessions have been publicly announced (US News).

Anthropic's Dual Path: Public Restraint, Accelerated Shipping. As Anthropic progresses towards a November IPO, anticipating a valuation near $2 trillion and a potential raise of up to $100 billion (crypto.news, Motley Fool), the company simultaneously released Claude Science on September 22. This initiative optimized over 30 open-source biomolecular models, achieving approximately a fourfold speed increase, alongside a low-memory mode for 10,000-token systems on a single GPU node (Anthropic). Anthropic is also co-sponsoring a protein-design competition with Adaptyv Bio, offering up to $1 million in Claude credits and wet-lab validation for over 5,000 designs (DEV).

Open-Weight Labs Bypass Restraint Discussions. DeepSeek V4.1-Flash launched on September 10 under an MIT license, reporting a Terminal-Bench 2.1 score of 90.6 from a 552B model with 8-16B active parameters. GLM-5.3 currently leads the open-weight Artificial Analysis index at 45 (pricepertoken, llm-stats). Alibaba’s ambitious Qwen roadmap further intensifies this trend towards commoditization, operating independently of any calls for development slowdown.

X / Social Pulse

  • Sam Altman has publicly endorsed Dario Amodei's call for a slowdown ("I agree with Dario") while maintaining that labs should not await an antitrust waiver. This directly underlies the current litigation.
  • Adaptyv Bio is prominently marketing its collaboration with Anthropic as "the biggest protein design competition in the world," featuring five challenges focusing on GPCRs and pMHC specificity.
  • Safety researchers consistently assert that diplomatic events, such as a state dinner, do not establish effective pacing mechanisms, a point underscored by Alibaba's recent chip reveal.

One to Watch

  • September 23 Legislative Action: Whether Senator Cruz successfully convenes the markup and if Senator Klobuchar introduces her proposed "duty of care" bill. The notice deadline is Wednesday.
  • September 24 Trump-Xi Dinner: Key outcomes regarding chip policy or guardrails, or if the event merely underscores existing tensions without concrete resolution.
  • Anthropic's S-1 Filing: The timing of the confidential draft's submission to EDGAR, and whether any new model releases precede or follow its anticipated November IPO window.

Quick Hits

  • Global Language Initiative: The Gates Foundation organized 60 organizations, including Anthropic, Google, and the OpenAI Foundation, for a five-year project to support 3.4 billion speakers of under-resourced languages. This highlights that cooperation on access is permissible, while coordination on development pace is not.
  • Alibaba's Parameter Scale: Alibaba's next-generation Qwen is training at 5-10 trillion parameters, an increase from its 2.4T flagship, leveraging the new Zhenwu V900 for clusters of up to 500,000 cards.
  • DeepSeek Performance: DeepSeek V4.1-Flash (MIT license, September 10 release) achieved a Terminal-Bench 2.1 score of 90.6, establishing a top-tier open-weight coding capability at minimal cost.
  • Anthropic's Revenue Trajectory: Anthropic's annualized run rate surpassed $65 billion by the end of July, significantly exceeding OpenAI's reported ~$40 billion during the same period.
  • Micron's Q3 Earnings: Micron's September 30 earnings report will provide crucial insights into persistent DRAM price hikes, offering a critical read on memory costs impacting all AI model roadmaps.

The prevailing through-line this week remains stark: universal endorsement for a development slowdown, juxtaposed with the legal inability for industry players to coordinate such an effort. The innovation pipeline continues, now significantly accelerated by entrants like Hangzhou. By Thursday, clarity will emerge regarding Washington's capacity to deliver substantive regulation, a purely symbolic gesture, or simply further material for ongoing litigation.

Sources

Lock in. M. mazen@thorterminal.com

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