Google, Meta, NVIDIA Team on $1.8B Virtual Biology Initiative

The US government, Google, Meta, and Biohub have teamed up on a $1.8 billion Virtual Biology Initiative. The project focuses on building open datasets to train AI models for biological research and drug development. Biohub founders Mark Zuckerberg and Dr. Priscilla Chan initially pledged $500 million in April, with the goal of compressing research timelines that currently take years.

The Department of Energy is directing over $500 million across five years through the Genesis Mission. NIH will help organize datasets from more than $500 million in prior federal funding. Google DeepMind, Isomorphic Labs, and Meta are collectively adding $300 million, while NVIDIA will provide computing infrastructure and technical support. Partners aim to produce an initial dataset in about a year and predictive models within five years.

Silicon Labs launched the Simplicity AI SDK in public beta at Works With 2026 on October 7. The SDK integrates with AI coding assistants like GitHub Copilot, Cursor, and OpenAI Codex for Bluetooth Low Energy projects. The company also introduced Hardware Intent, a tool that checks board schematics against project requirements to avoid costly reworks. Silicon Labs partnered with Databricks to connect edge devices to enterprise AI workflows and started an open-source developer community on GitHub.

Hark, founded by Brett Adcock, released a proactive AI app that handles everyday tasks like grocery orders, bill payments, ride bookings, and trip planning. Its cloud computer called Handoff can run up to six browsers at once and log into millions of websites. Hark received $100 million in funding and now holds a $6 billion valuation with $700 million in Series A financing.

Microsoft Security's FORGE Lab published findings from its frontier AI vulnerability research. Using a multi-model agentic scanning harness called MDASH, the lab has addressed 140 CVEs through Microsoft Patch Tuesday since May 2026. An internal project using abstract syntax tree algorithms reduced about 45% duplicate findings across multiple scans, easing the burden on human triage teams.

BlackRock published a paper exploring how AI agents may handle payments. Researcher Matthew Boyer tested 36 AI models through 9,072 open-ended scenarios, finding Bitcoin received 48.3% of responses and stablecoins 33.2%. Bitcoin led as a store of value at 79.1%, while stablecoins led for everyday payments at 53.2%. BlackRock noted stablecoins offer reliable pricing, with their market capitalization passing $300 billion as of September 2026.

Senator Ruben Gallego proposed a robot tax and a 10% data center excise tax to fund an economic plan protecting middle-income workers from AI-related job disruptions. The proposal also removes bonus depreciation and deductions for state and local taxes. Meanwhile, Meta partnered with companies to establish standards for doing business with AI bots, aiming to formalize guidelines for commercial activities involving AI agents.

Key Takeaways

  • <ul><li>The US government, Google, Meta, and Biohub are investing $1.8 billion in the Virtual Biology Initiative to build AI-ready open datasets for biological research.</li><li>DOE is directing over $500 million across five years, while Google DeepMind, Isomorphic Labs, and Meta collectively contribute $300 million.</li><li>NVIDIA is providing computing infrastructure and technical support for the Virtual Biology Initiative.</li><li>Silicon Labs launched the Simplicity AI SDK in public beta, integrating with GitHub Copilot, Cursor, and OpenAI Codex for Bluetooth LE development.</li><li>Silicon Labs partnered with Databricks to connect edge devices to enterprise AI workflows and launched Hardware Intent to catch design conflicts before fabrication.</li><li>Hark, founded by Brett Adcock, raised $100 million and now holds a $6 billion valuation for its proactive AI app with a cloud computer called Handoff.</li><li>Microsoft FORGE Lab addressed 140 CVEs through Patch Tuesday since May 2026 using its MDASH scanning harness for AI vulnerability research.</li><li>BlackRock found that Bitcoin received 48.3% of AI model responses and stablecoins 33.2% in scenarios testing AI agent payment preferences.</li><li>Senator Gallego proposed a robot tax and 10% data center excise tax to fund worker protections against AI-related job disruptions.</li><li>Meta partnered with companies to create standards for doing business with AI bots, formalizing commercial guidelines for AI agent interactions.</li></ul>

US and Google join Biohub's $1.8 billion AI biology project

The US government, Google, and Meta are joining Biohub to invest $1.8 billion in the Virtual Biology Initiative. The project will build open datasets to train AI models for biological research. Biohub founder Mark Zuckerberg and Dr. Priscilla Chan initially pledged $500 million in April. The goal is to create predictive models that could speed up drug development and compress timelines that currently take years. Public datasets are planned, but funded companies get early access.

Biohub, DOE, NIH invest $1.8B in Virtual Biology data effort

Biohub, the Department of Energy, and the National Institutes of Health announced a $1.8 billion investment on October 7, 2026. The Virtual Biology Initiative aims to build AI-ready open data for predictive biology models. DOE will invest over $500 million across five years in lab measurement and computation. NIH will help organize datasets from prior federal funding. Google DeepMind, Isomorphic Labs, and Meta are collectively adding $300 million. NVIDIA will provide computing infrastructure and technical support.

Google, Meta, US government back Biohub's AI biology push

The Virtual Biology Initiative aims to build open datasets for AI models that could speed up drug development. Google, Meta, and Alphabet together committed $300 million. The Department of Energy is directing over $500 million across five years through the Genesis Mission. NIH will help organize datasets from more than $500 million in prior federal funding. Biohub was started by Meta CEO Mark Zuckerberg and Dr. Priscilla Chan. The partners aim to produce an initial dataset in about a year and predictive models within five years.

Silicon Labs launches Simplicity AI SDK and edge AI tools

Silicon Labs announced the Simplicity AI SDK public beta at Works With 2026 on October 7, 2026. The SDK works with AI coding assistants like GitHub Copilot and OpenAI Codex for Bluetooth Low Energy projects. The company also introduced Hardware Intent, a tool that checks board schematics against project requirements to avoid costly reworks. Silicon Labs started an open-source community for its Bluetooth LE software stack on GitHub. It also partnered with Databricks to connect edge devices to enterprise AI workflows.

Silicon Labs expands AI developer platform for IoT

Silicon Labs announced new tools at Works With Summit 2026 in Austin, Texas on October 7, 2026. The Simplicity AI SDK is in public beta and works with GitHub Copilot, Cursor, and Codex. Its first supported experience focuses on Bluetooth Low Energy development. The company also launched Simplicity Design Intelligence with Hardware Intent to catch pin and peripheral conflicts before fabrication. Silicon Labs started an open-source developer community and partnered with Databricks to bring edge AI into enterprise data and machine learning workflows.

AI tool Claude Opus 5.5 enables unprecedented video game mashups and PS5 emulators

A new AI tool called Claude Opus 5.7 has enabled users to combine mainstream video games into playable experiences, such as Super Mario 64 in Elden Ring. The same technology has also led to advances in PlayStation 5 emulators on PC, like SharpEmu and KytyPS5, which can run games at 4K resolution. Sony is facing intellectual property challenges from these developments. Users can also jailbreak devices to distribute emulators and home-brew apps. These innovations raise concerns about DMCA takedowns and legal frameworks that have not yet caught up with AI capabilities.

AI Squared Management reduces NVIDIA stake by selling 5,525 shares in Q2

AI Squared Management Ltd sold 5,525 shares of NVIDIA Corporation during the second quarter, reducing its position by 13.9%. After the sale, the fund still owns 34,200 shares of the computer hardware maker. The fund's ownership stake in NVIDIA has been steadily increasing over the past few quarters, making this sale a small part of a larger trend. The future position of the fund in NVIDIA remains to be seen in upcoming quarters.

BlackRock report suggests AI agents may use stablecoins and Bitcoin for payments

BlackRock published a paper stating that AI agents will need payment systems machines can use independently, and stablecoins and crypto assets could fill that role. Researcher Matthew Boyer tested 36 AI models through 9,072 open-ended scenarios, finding Bitcoin received 48.3% of responses and stablecoins 33.2%. Bitcoin led as a store of value at 79.1%, while stablecoins led for everyday payments at 53.2%. BlackRock noted that stablecoins offer a reliable unit of account and predictable pricing, with their market capitalization passing $300 billion as of September 2026.

Navya Naveli Nanda launches Naveli Ventures for deep-tech and AI investments

Entrepreneur Navya Naveli Nanda introduced Naveli Ventures, the venture arm of the Nanda Family Office, focusing on startups in deep-tech, space, clean energy, artificial intelligence, advanced manufacturing and healthcare. The venture arm will invest through direct startup investments, institutional funds, co-investments, and partnerships with academic institutions. Naveli Ventures LLP was incorporated in March 2023 with Nanda and Agastya Nanda as designated partners. Nanda emphasized long-term investments to support companies working on technologies relevant to India's future, aligning with government initiatives like the Research, Development and Innovation scheme with a Rs 1 lakh crore corpus.

Meta partners with companies to create standards for business with AI bots

Meta has partnered with companies to establish standards for doing business with AI bots. CNBC's Andrew Ross Sorkin reported on this latest development. The initiative aims to set guidelines for how companies interact with and conduct transactions involving AI bots. This collaboration represents a step toward formalizing the growing role of AI agents in commercial activities.

Hark launches proactive AI app ahead of 2027 hardware

Hark released a proactive AI app called The app handles everyday tasks like grocery orders, bill payments, ride bookings, and trip planning. Its cloud computer called Handoff can run up to six browsers at once and log into millions of websites for users. The app shows proactive action cards and lets users approve payments or cancel services with one tap. Hark was founded by Brett Adcock, who previously started Archer Aviation and Figure AI. He funded Hark with $100 million, and the company now has a $6 billion valuation with $700 million in Series A financing.

Microsoft FORGE Lab shares AI vulnerability research lessons

Microsoft Security's FORGE Lab published three lessons from frontier AI vulnerability research. The lab uses a multi-model agentic scanning harness called MDASH to organize its work. Its efforts have addressed 140 CVEs through Microsoft Patch Tuesday since May 2026. The lab focuses on creating reproducible findings rather than just scanning more. One internal project using abstract syntax tree algorithms reduced about 45% duplicate findings across multiple scans, easing the burden on human triage teams.

Senator Gallego proposes AI tax to fund worker economic plan

Senator Ruben Gallego, a Democrat from Arizona, proposed a new robot tax and a 10% data center excise tax. The taxes would fund an economic plan to protect middle-income American workers from AI-related job disruptions. The plan aims to ensure workplace technology helps workers be more productive rather than automating their jobs away. Gallego's proposal also removes bonus depreciation and deductions for state and local taxes. The plan could become part of a potential presidential bid in 2028.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Virtual Biology Initiative AI in Biology Research Drug Development Genesis Mission DOE Funding Google DeepMind Isomorphic Labs Meta Contribution NVIDIA Infrastructure Silicon Labs Simplicity AI SDK GitHub Copilot Cursor OpenAI Codex Bluetooth LE Development Databricks Partnership Hardware Intent Hark Proactive AI App Cloud Computer

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