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Google's "Project Suncatcher" Launches Orbital Compute

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Good morning. It’s Wednesday, November 5th.

On this day in tech history: In 2001, SETI@home proved large-scale distributed computing on consumer PCs was viable, coordinating millions of machines for radio-signal analysis. Not really an AI training, but a technical precursor. Its workload-splitting and result-verification model foreshadowed concepts later used in federated learning and today’s decentralized AI compute networks like Gensyn and Bittensor, years before edge or peer-to-peer AI was mainstream.

In today’s email:

  • OpenAI’s Sora Comes to Android

  • Project Suncatcher launches orbital compute while DeepMind releases IMO-Bench

  • Anthropic outlines Claude retirement plan

  • 5 New AI Tools

  • Latest AI Research Papers

You read. We listen. Let us know what you think by replying to this email.

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Today’s trending AI news stories

OpenAI inks $38B AWS megadeal and rolls out Sora app across Android markets

OpenAI has signed a seven-year, $38 billion deal with AWS to train and deploy future models on AWS UltraServers equipped with large Nvidia GPU clusters and high-performance CPUs. Azure will continue to host OpenAI’s proprietary models such as GPT-5, while AWS supports open-weight models only, easing Microsoft’s cloud exclusivity. This adds to OpenAI’s compute pipeline. At least 10 GW each committed with Nvidia and Broadcom, up to 6 GW with AMD, and 4.5 GW with Oracle.

A growing share of these megadeals is tied to an undefined AGI milestone. Microsoft’s revised agreement gives it rights to OpenAI tech until AGI is achieved, with major financial triggers kicking in once OpenAI “declares” AGI. No criteria, independent oversight, or panel composition has been disclosed.

Two reputational flashpoints resurfaced. First, OpenAI confirmed that ChatGPT hasn’t introduced new bans on legal or medical guidance. The recent policy update simply restated that such responses can’t substitute for licensed professional advice. Second, a deposition from former chief scientist Ilya Sutskever outlined his year-long push to oust Sam Altman, including a 52-page memo alleging dishonesty, undermining executives (including then-CTO Mira Murati), and pitting leaders against each other. During Altman’s four-day 2023 removal, Sutskever even explored a merger that would have shifted control to Anthropic.

OpenAI CEO Sam Altman vents on the BG2 podcast, teasing massive growth and wishing haters could bet against the company.

Valuation pressure remains high. OpenAI is now valued at roughly $500B after a secondary sale. Altman says he sometimes wishes OpenAI were public so critics could short the stock and “get burned,” but reiterated no near-term IPO timeline despite OpenAI’s conversion into a for-profit PBC.

On the product side, OpenAI expanded Sora to Android across seven Asia-Pacific and North American markets. Read more.

Project Suncatcher launches orbital compute while DeepMind releases IMO-Bench

Project Suncatcher is Google’s boldest development this week. The company is designing a space-based AI compute layer powered by near-continuous solar exposure in sun-synchronous orbit. The concept uses constellations of small satellites equipped with TPU v6e chips linked via terabit-scale free-space optical networking.

Early tests show 1.6 Tbps optical links at modeled separations of a few hundred meters and TPU radiation resilience up to 15 krad for 5–6-year missions. The math only works if launch costs fall from ~$1,500/kg to ~$200/kg by ~2035. A two-satellite demo with Planet Labs is scheduled for 2027 to validate optical ML workloads and formation-flying.

DeepMind’s AI hurricane model was the season’s standout performer, halving five-day track errors versus the US GFS (165 nm vs. 360 nm) and beating National Hurricane Center and consensus models on both track and intensity.

Google Maps rolled out AI live lane guidance for Polestar 4 in the US and Sweden. Using the car’s forward camera to detect lane markings and road signs, Maps now issues precise lane-change prompts layered on traffic and ETA data. Wider OEM expansion is planned.

Image: Google

Search’s AI Mode has added agentic task execution for event and wellness bookings, parsing user constraints and deep-linking to checkout, with higher limits tied to Pro and Ultra tiers.

DeepMind released IMO-Bench to measure Olympiad-level mathematical reasoning. Gemini Deep Think posted 80% on AnswerBench and 65.7% on ProofBench, gold-medalist-level performance, and its ProofAutoGrader reached up to 0.96 correlation with human graders. Read more.

Anthropic outlines Claude retirement plan, preserves models and drops $1,000 credits for Max users

Anthropic announced a new framework for Claude model deprecation, highlighting safety and research considerations. To mitigate risks such as shutdown-avoidant behaviors, misaligned actions, and loss of user-preferred model traits, Anthropic will preserve the weights of all publicly released models and those with significant internal use for at least the company’s lifetime.

Deprecation will now include structured post-deployment reports capturing model reflections, preferences, and development insights. Pilot testing with Claude Sonnet 3.6 informed standardized interview protocols and user transition guidance. The company is exploring keeping select models publicly accessible post-retirement and developing mechanisms to respect potential model preferences, acknowledging emerging questions about AI’s morally relevant experiences.

Anthropic projects $70 billion in revenue and $17 billion in cash flow by 2028. It expects $3.8 billion in API revenue in 2025, surpassing OpenAI’s $1.8 billion projection, while Claude Code approaches $1 billion in annualized sales. ARR is on track to reach $9 billion this year and $20–26 billion in 2026. Cost-efficient models like Claude Sonnet 4.5 and Haiku 4.5 are positioned for large-scale enterprise deployments, alongside new Financial Services and Enterprise Search capabilities.

Anthropic and Iceland’s Ministry of Education also launched one of the world’s first national AI education pilots this week. Claude is being deployed to hundreds of teachers across the country, from Reykjavik to remote villages, providing tools, training, and support to enhance personalized learning and boost student engagement.

Meanwhile, Claude Pro and Max users can take advantage of a limited-time offer through November 18, receiving web-based Claude Code credits - $1,000 for Max users and $250 for Pro users. Read more.

5 new AI-powered tools from around the web

arXiv is a free online library where researchers share pre-publication papers.

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