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Google Deepmind and Yale University have introduced a new AI model called C2S-Scale 27B, built on the open Gemma model family. The system analyzes single cells and, according to Google Deepmind, uncovered a previously unknown therapeutic pathway for cancer. The model identified the drug silmitasertib (CX-4945) as a "conditional enhancer" - meaning it can make tumor cells more visible to the immune system under specific conditions. In the team's words:

"This result also provides a blueprint for a new kind of biological discovery. It demonstrates that by following the scaling laws and building larger models like C2S-Scale 27B, we can create predictive models of cellular behavior that are powerful enough to run high-throughput virtual screens, discover context-conditioned biology, and generate biologically-grounded hypotheses."

Google Deepmind

Lab experiments with human neuroendocrine cell models confirmed the prediction. Before that, C2S-Scale simulated over 4,000 drugs in two immune environments. The code is available on GitHub, and the model can be found on Hugging Face. More details are in the preprint on bioRxiv.

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Apple's new M5 chip is aimed at speeding up AI features on the MacBook Pro, iPad Pro, and Apple Vision Pro. Apple says the M5 delivers more than four times the GPU performance for AI tasks compared to the previous M4 chip. Each of the ten GPU cores includes a built-in "Neural Accelerator." The 16-core Neural Engine can process up to 38 trillion operations per second, making it 60 percent faster than the Neural Engine in the M4. The CPU is also up to 15 percent quicker at multi-threaded processing.

The chip uses a third-generation 3 nm manufacturing process, offers 153 GB/s of shared memory bandwidth (about 30 percent more than before), and supports up to 32 GB of unified memory. This allows larger AI models to run directly on the device. Apple expects that existing AI apps and tools like Apple Intelligence will see faster performance. Developers can access the AI hardware using Core ML, Metal 4, and Tensor APIs.

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Amazon has officially launched AgentCore, its platform for running AI agents, making it generally available as part of Amazon Bedrock. AgentCore is designed to help companies quickly integrate AI agents into real-world applications, with support for models and frameworks like OpenAI, Gemini, and LangGraph. The platform offers runtime environments, access to web apps, API integration, and built-in storage and monitoring through CloudWatch.

Image: AWS

Amazon says companies including Sony, Ericsson, and Cohere Health are already using AgentCore for manufacturing, telecom, and healthcare. AgentCore is now available in nine AWS regions.

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Walmart is partnering with OpenAI to introduce "agentic commerce" to ChatGPT, making it possible for customers to shop and buy products directly through chat. Based on OpenAI's new Instant Checkout feature, users will "soon" be able to search for items in a conversation and purchase them immediately, skipping traditional search results and shopping carts. Walmart says the goal is to create an AI-powered shopping experience that understands personal preferences and offers predictive recommendations.

"For many years now, eCommerce shopping experiences have consisted of a search bar and a long list of item responses. That is about to change. There is a native AI experience coming that is multi-media, personalized and contextual."

Walmart CEO Doug McMillon

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OpenAI and Broadcom are teaming up to build AI accelerators with a combined output of 10 gigawatts. OpenAI will handle chip design, while Broadcom supplies key networking components like Ethernet and PCIe. The accelerator racks are scheduled to start shipping in mid-2026, with installation in OpenAI and partner data centers expected to wrap up by the end of 2029. The deal is reportedly valued at around $10 billion.

This partnership follows OpenAI's recent agreement with AMD for 6 gigawatts of GPU capacity, marking another move to lessen the company's reliance on Nvidia, which has so far been the biggest winner in the generative AI stock market boom.

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Adobe encourages candidates to use AI during the application process. Stacy Martinet, the company's chief communications officer, told Fortune that work samples or designs created with AI tend to stand out. According to Martinet, the company is searching for people who combine creativity with technical skills.

As AI reshapes how we communicate, market, and create, those who pair creative skills with AI fluency will have a competitive edge, and we’re looking for that combination.

Stacy Matinet

Previous experience with AI isn't required, but new hires are expected to be willing to learn the tools.

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Mark Zuckerberg is still on his AI talent shopping tour. Andrew Tulloch, co-founder of AI startup Thinking Machines Lab, is leaving the company to join Meta, the Wall Street Journal reports. Tulloch informed colleagues of his decision on Friday. A spokesperson for Thinking Machines confirmed the move and said it was for personal reasons. Meta reportedly approached Tulloch after its attempt to acquire the startup failed. The offer to Tulloch was said to be worth up to $1.5 billion over six years, though Meta previously called that figure "ridiculous."

Thinking Machines was founded in late 2024 by former OpenAI CTO Mira Murati and recently released a platform for fine-tuning open AI models.

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