# Runway opens Praxis-1 weights, TSMC bets $1B on labs

> Runway releases Praxis-1 robotics model under Apache 2.0, TSMC approves $1B for Anthropic and OpenAI, and Google ships a Gemini decision model.

Source: https://ai.dosa.dev/blog/today-in-ai-2026-11-12
Published: 2026-11-12
Author: Dosa AI Tools

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This brief covers AI news from 2026-11-12 UTC.

An open-weight robotics model tops a leaderboard, a chipmaker writes two nine-figure checks, and Google turns Gemini into a decision engine.

## Runway opens Praxis-1 robotics weights under Apache 2.0

**What happened:** Runway released Praxis-1, a 27B-parameter mixture-of-experts diffusion transformer that predicts video and actions together, with weights and inference and fine-tuning code under Apache 2.0, including commercial use. It tops NVIDIA's RoboLab-120 at 46.2% success across 1, 200 episodes, ahead of FLUX 3 Action at 42.9%.

**Why it matters:** Robotics teams can now fine-tune a leaderboard-topping action model on their own hardware, from H100 and B200 down to Jetson Thor, without a license negotiation.

[Source: Runway](<https://runway.com/news/company-news/praxis-1-is-now-available>)

## TSMC board approves $1B split between Anthropic and OpenAI

**What happened:** TSMC's board approved up to $1 billion in investments split evenly between Anthropic and OpenAI at its November 10 meeting, alongside a plan for a new semiconductor investment company capitalized at up to $500 million. The OpenAI portion buys preferred stock in OpenAI Group PBC.

**Why it matters:** The world's largest contract chipmaker taking equity in the two labs ties compute supply and model development closer together, which shapes who gets capacity first.

[Source: Tech Times](<https://www.techtimes.com/articles/330517/20261112/anthropic-openai-get-1b-investment-tsmc-how-will-this-affect-ai-industry.htm>)

## Google launches Gemini Decision 1 and a Decisions API

**What happened:** Google released Gemini Decision 1, described as its first decision model, with a Gemini Decisions API for fast, calibrated multimodal decisions. It launched on OpenRouter the same day.

**Why it matters:** A model tuned for picking between options rather than generating text gives builders a cheaper primitive for routing, triage and agent branching logic.

[Source: Google AI Blog](<https://ai123.com/official-updates>)

## Gemini app arrives on Apple CarPlay

**What happened:** The Gemini app is now available on Apple CarPlay, letting drivers tap the icon to continue phone conversations or talk with Gemini Live hands-free from the car display.

**Why it matters:** Voice agents get a new surface with real constraints: short turns, noisy audio and no screen attention, which is a different test than a phone app.

[Source: Google](<https://ai123.com/official-updates>)

## Judge clears 56 amicus briefs in OpenAI copyright case

**What happened:** Judge Sidney Stein approved filing of 56 amicus briefs in In re: OpenAI Copyright Infringement Litigation, which consolidates suits including the Authors Guild and New York Times complaints. The court will take up whether training on copyrighted works is fair use without a trial.

**Why it matters:** A ruling on fair use for training data would set the terms for what builders can ingest, license or have to pay for, so watch the briefing list closely.

[Source: TechPolicy.Press](<https://www.techpolicy.press/friends-of-the-court-flock-to-the-openai-copyright-fight/>)

## Huawei details Peerium interconnect, 256, 000-card system in test

**What happened:** Huawei unveiled Peerium, an architecture combining nested parallelism, shared memory addressing and direct chip-to-chip links, claiming up to 800GB per second between racks versus 200GB per second for its existing setup. A 256, 000-card SuperCluster is being deployed and tested.

**Why it matters:** Interconnect bandwidth, not accelerator count, is the binding constraint on training scale, so any credible alternative to the dominant fabric matters for capacity planning.

[Source: WittyWires](<https://wittywires.com/forums/topic/huaweis-peerium-aims-to-link-up-to-a-million-ai-chips/>)

## Cognichip says its chip design models cut months to days

**What happened:** Cognichip's Chief Product Officer told Tom's Hardware that its Artificial Chip Intelligence models, trained on more than ten million samples including synthetic ones, feed ACI Enterprise, a platform pairing them with agentic workflows and project memory for chip design.

**Why it matters:** If design iteration compresses from months to days, hardware teams can try more architectures per quarter, which changes how silicon roadmaps get planned.

[Source: Tom's Hardware](<https://www.tomshardware.com/tech-industry/semiconductors/cognichip-reveals-how-its-new-ai-assisted-program-can-slash-chip-design-times-from-months-to-days-automating-labor-intensive-tasks-cuts-design-time-down-chief-product-officer-explains>)

## Sources

- [Runway](<https://runway.com/news/company-news/praxis-1-is-now-available>)
- [Tech Times](<https://www.techtimes.com/articles/330517/20261112/anthropic-openai-get-1b-investment-tsmc-how-will-this-affect-ai-industry.htm>)
- [Google AI Blog](<https://ai123.com/official-updates>)
- [TechPolicy.Press](<https://www.techpolicy.press/friends-of-the-court-flock-to-the-openai-copyright-fight/>)
- [WittyWires](<https://wittywires.com/forums/topic/huaweis-peerium-aims-to-link-up-to-a-million-ai-chips/>)
- [Tom's Hardware](<https://www.tomshardware.com/tech-industry/semiconductors/cognichip-reveals-how-its-new-ai-assisted-program-can-slash-chip-design-times-from-months-to-days-automating-labor-intensive-tasks-cuts-design-time-down-chief-product-officer-explains>)