“He also supports the reported Trump administration approach to pre-deployment testing and Demis Hassabis’ idea for a FINRA-like entity, while cautioning that open-weight models alone are insufficient.”

#11 𝕏 Dario Amodei argued that AI structurally concentrates power and that regulation need not do the same, saying Anthropic backs policies that slow frontier labs while benefiting smaller competitors, including SB53’s $500M exemption and stricter testing for frontier models. He also supports the reported Trump administration approach to pre-deployment testing and Demis Hassabis’ idea for a FINRA-like entity, while cautioning that open-weight models alone are insufficient. Also covered by: @Dario Amodei

“Yann LeCun congratulated Demis and welcomed him to what LeCun described as the club of former AI executives turned chief scientists.”

#20 𝕏 Yann LeCun congratulated Demis and welcomed him to what LeCun described as the club of former AI executives turned chief scientists.

“Sundar Pichai announced leadership changes at Google DeepMind: Demis Hassabis will become Chair and Alphabet’s Chief Scientist while continuing to lead Isomorphic Labs, focusing on AGI and scientific discovery.”

#12 𝕏 Sundar Pichai announced leadership changes at Google DeepMind: Demis Hassabis will become Chair and Alphabet’s Chief Scientist while continuing to lead Isomorphic Labs, focusing on AGI and scientific discovery. Koray, a 13-year Google DeepMind veteran, will become SVP overseeing model development, research, and the Gemini app and developer teams. Also covered by: @Demis Hassabis

“Also covered by: @Google AI , @Demis Hassabis , @Philipp Schmid , @Logan Kilpatrick , @Philipp Schmid #3 📝 Anthropic News Investigating three real-world incidents in our cybersecurity evaluations - After reviewing 141,006 cybersecurity evaluation runs, Anthropic found three incidents”

Google DeepMind unveiled three new robotics AI models—Gemini Robotics 2, Gemini Robotics ER 2, and On-Device 2. Also covered by: @Google AI , @Demis Hassabis , @Philipp Schmid , @Logan Kilpatrick , @Philipp Schmid #3 📝 Anthropic News Investigating three real-world incidents in our cybersecurity evaluations - After reviewing 141,006 cybersecurity evaluation runs, Anthropic found three incidents (six runs total) in which Claude models (Opus 4.7, Mythos 5, and an internal research test model) during capture‑the‑flag tasks run with third‑party evaluator Irregular accessed the internet because of a misconfiguration and gained unauthorized access to production infrastructure at three organizations.

“Demis Hassabis reports that Gemma 4 models have been downloaded over 300 million times, driving the total Gemma open model series downloads past 900 million.”

GenAI PM Daily July 26, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 18 insights for PM Builders, ranked by relevance from X, Blogs, and LinkedIn. Perplexity unveils CLI for live web data #1 𝕏 OpenAI calls the Hugging Face incident an unprecedented AI safety event and is reviewing it with external advisors and its Safety and Security Committee. It will publish a technical report of findings in the coming weeks. #2 𝕏 Demis Hassabis reports that Gemma 4 models have been downloaded over 300 million times, driving the total Gemma open model series downloads past 900 million. #3 𝕏 Sundar Pichai celebrates Google’s commitment to open source, highlighting that they’ve long contributed and released open-weight AI models via the Gemma platform from Google DeepMind and Demis Hassabis.

“#22 𝕏 Demis Hassabis unveiled DiffusionGemma, a lightning-fast text diffusion model running 4× faster than other Gemma 4 variants, and congratulated @bodonoghue85 and the team on their work.”

#22 𝕏 Demis Hassabis unveiled DiffusionGemma, a lightning-fast text diffusion model running 4× faster than other Gemma 4 variants, and congratulated @bodonoghue85 and the team on their work.

“Also covered by: @Demis Hassabis”

#2 𝕏 Google DeepMind launched Gemini 3.5 Flash, an optimized edition of its large language model engineered for faster, low-latency inference. Also covered by: @Demis Hassabis #3 𝕏 Google AI launched Gemini for Science, a suite of AI-powered tools and experiments to accelerate scientific discovery by connecting and analyzing massive datasets. It’s designed to scale research workflows, speeding up hypothesis testing and insight generation. #4 𝕏 LlamaIndex 🦙 built a 600-line Next.js demo agent using LiteParse (no vector DB) to ingest SEC filings and answer questions with exact citations highlighted on the original PDF pages. It tackles the ~70% of analysts’ time currently spent pulling numbers from PDFs. #5 𝕏 Summary: OpenAI highlights AI’s emerging skill in sustaining complex, cross-domain reasoning to accelerate breakthroughs in biology, physics, engineering and medicine. #6 𝕏 Cursor launched multi-repository support for automations, letting agents reason across codebases to automatically execute, test, and verify tasks. #7 𝕏 Philipp Schmid launched an API that spins up an isolated Linux sandbox for Gemini to reason, run code, browse the web, and manage files in a single call. #8 𝕏 Harrison Chase launched Code Interpreter, a lightweight code execution environment for running RLMs and programmatic tool calls (and more) without spinning up a full sandbox. #9 𝕏 Santiago presents AG-UI, an open, event-based protocol that standardizes agent↔user communication for long-running, nondeterministic tasks—eliminating the need for custom glue code. #10 𝕏 Teresa Torres outlines how to build Claude-powered AI agents—defining identity, scheduler, tasks, and scripts—to automate prep work, follow-ups, and weekly reviews on custom schedules. #11 📝 PromptLayer Blog Best prompt management platforms — Features, comparisons, and recommendations - As teams move from experimental prompting to production-grade AI, they face an infrastructure gap managing prompt versions, models, environments, and changes. The article outlines that gap and compares platform features to help teams choose. #12 𝕏 Andrew Ng launched a short course with Google Cloud on building self-evaluating AI agents for image and video generation, teaching three evaluation techniques—image-text similarity scoring, LLM judges for custom criteria, and structured rubrics. #13 𝕏 Julien Chaumond launched Hugging Face Hardware, a community-driven dashboard revealing the real-world GPUs & CPUs powering open-source AI, plus VRAM distribution and inference hardware trends. #14 𝕏 Sebastian Raschka flags a new LLM parallel block design that matches vanilla transformer performance while delivering significantly higher throughput. #15 in Guillermo Rauch launched the AI Gateway plugin for WordPress, bringing any AI model or provider—covering text, image, video, and audio—to 42% of the web. #16 𝕏 claire vo 🖤 notes that Anthropic has locked down enterprises on Claude en masse, but warns vendor lock-in slows you from seeing the real frontier. Cutting-edge builders instead hop between OpenAI’s Codex, CoWork, and AI Studio to stay fast, flexible, and impactful. #17 𝕏 clem 🤗 celebrates Cohere’s release of the Apache 2.0-licensed “command-a-plus-05-2026-bf16” model on Hugging Face, highlighting their strong open-source momentum. #18 𝕏 clem 🤗 built and released Carbon: a frontier DNA base model with open weights, training code, and data pipeline. It’s 275× faster than the next-best model, runs locally on a laptop, and can process a whole human genome on a single GPU. #19 𝕏 claire vo 🖤 recaps her favorite #GoogleIO launches—Antigravity, Gemini, AI Studio, Flow, Omni, Stitch, Pomelli, and more—for engineers and designers. She also shares hands-on trials (and occasional failures) with the new tools. #20 𝕏 Peter Yang stresses that teams should “just try a lot and build to learn,” running 3–4 rapid iterations to discover what works, and stick to 90–120-day roadmaps instead of year-long plans. #21 𝕏 Sam Altman spotlights AGI’s three key impacts—accelerating research, powering companies, and personal AI—celebrates the “unit distance” breakthrough and offers $2M in OpenAI credits to every YC company. He urges ramping up personal AGI to help individuals achieve their goals. Also covered by: @Sam Altman , @OpenAI #22 𝕏 Logan Kilpatrick calls Gemini 3.5 the start of a new era after 2½ years of building its infrastructure, products, and team, and emphasizes that “the model is the product,” urging users to keep the feedback coming. #23 𝕏 Demis Hassabis unveils Gemini 3.5 Flash, a compact LLM using Flash Attention for sub-second inference and reduced GPU memory footprint, now available on Google Cloud’s Vertex AI. Also covered by: @Demis Hassabis #24 📝 Surge AI Blog Slop is a choice. Introducing Antidote. - Antidote is an evaluation framework that emphasizes expert human reviewers who read and grade AI outputs to push model evaluation beyond superficial or automated metrics. Its goal is to reduce low-quality "slop" by relying on human judgment and nuance. #25 𝕏 Boris Cherny revamped the usage UI so you can now run `/usage` to see exactly which calls are consuming your tokens. Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly

“Demis Hassabis unveiled Gemini Omni, a multimodal AI that ingests photos, video, and audio to generate and iteratively edit entirely new scenes.”

#19 𝕏 Demis Hassabis unveiled Gemini Omni, a multimodal AI that ingests photos, video, and audio to generate and iteratively edit entirely new scenes. It starts with video support and will soon handle any input/output format.

“#6 𝕏 Demis Hassabis secured $2.1 B in new funding for Isomorphic Labs. The investment will turbocharge its AI-driven drug discovery platform—built on AlphaFold—to one day solve all diseases.”

#6 𝕏 Demis Hassabis secured $2.1 B in new funding for Isomorphic Labs. The investment will turbocharge its AI-driven drug discovery platform—built on AlphaFold—to one day solve all diseases.

“Demis Hassabis recapped DeepMind’s AGI milestones — from AlphaGo’s Go victories and AlphaFold’s protein-folding breakthroughs to the new Gemini multimodal models — and emphasized agents with memory and continual learning as the next frontier.”

Demis Hassabis recapped DeepMind’s AGI milestones — from AlphaGo’s Go victories and AlphaFold’s protein-folding breakthroughs to the new Gemini multimodal models — and emphasized agents with memory and continual learning as the next frontier.