“Google Research launched a private analytics approach that combines cryptographic aggregation with trusted execution environments to deliver anonymized aggregate insights with provable privacy and security guarantees without requiring devices to stay online.”

#3 𝕏 Google Research launched a private analytics approach that combines cryptographic aggregation with trusted execution environments to deliver anonymized aggregate insights with provable privacy and security guarantees without requiring devices to stay online. #9 𝕏 Google AI offers a NotebookLM audio overview, video recap and slide deck summarizing all of last week’s Google I/O 2026 product and feature announcements.

“Google DeepMind has watermarked over 100 billion pieces of content with its SynthID technology and is partnering with OpenAI, ElevenLabs, and Kakao to integrate SynthID watermarking into their models, accelerating the cross-industry momentum begun with NVIDIA.”

GenAI PM Daily May 27, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 22 insights for PM Builders from X and Blogs. Anthropic rolls out evolving sandbox system in Claude #1 𝕏 Google DeepMind has watermarked over 100 billion pieces of content with its SynthID technology and is partnering with OpenAI, ElevenLabs, and Kakao to integrate SynthID watermarking into their models, accelerating the cross-industry momentum begun with NVIDIA. #2 𝕏 Mustafa Suleyman introduces MAI-Image-2.5, now ranked third on @arena’s text-to-image leaderboard, showcasing a major quality leap and teasing more Microsoft AI innovations at next week’s Build. #3 𝕏 Google DeepMind unveiled Gemini for Science, a suite of AI-driven tools designed to help researchers accelerate discoveries and unlock their next breakthroughs. #4 𝕏 Anthropic rolled out a sandboxing system in Claude that evolves agent access and permissions alongside their capabilities, ensuring any potentially destructive actions stay contained. #5 𝕏 Philipp Schmid launched the Gemini Managed Agents Dev Guide, showing that one API call spins up Gemini 3.5 Flash with the Antigravity Harness and a remote Linux sandbox—no infrastructure or orchestration needed. #6 𝕏 LlamaIndex 🦙 demos automating loan underwriting with LlamaParse in just a few lines: converting PDFs to clean Markdown, extracting fields into Pydantic models, and running cross-document analysis. It then generates an underwriting summary complete with discrepancy flags. #7 📝 PromptLayer Blog From Skills Back to Tools: Why Our Dashboard Assistant Moved Off the Claude Code SDK - A post describing why the team replaced the Claude Code SDK and skills architecture in their in-app assistant with a simpler prompt-and-tools approach. It explains the rationale and implications for engineering workflows. #8 𝕏 Garry Tan uses three frontier LLMs to score agent skill-file code on effectiveness, asking “Why isn’t it a 10?” and “How to make it so?” then reruns for rapid improvement. Embedding these evals plus unit tests in the code ensures it keeps getting better forever. #9 𝕏 xAI optimized caching and reset Grok Build Beta usage limits for all accounts to address feedback about hitting limits quickly, and encourages continued feedback. #10 𝕏 Santiago presents DigitalOcean’s Inference Router, an OpenAI-style interface that analyzes your prompt and routes it to the optimal foundation model using customizable rules. You can optimize routing for cost or latency out of the box. #11 📝 PromptLayer Blog Best Prompt Management Platforms — Features, Comparisons, and Recommendations - Surveys the growing infrastructure gap as teams move from experimental prompting to production, and compares prompt management platforms to help teams manage variations across models, environments, and use cases. #12 𝕏 Harrison Chase launched LangSmith Engine, an agent that automates the optimization loop to iteratively improve your own AI agents. #13 𝕏 Peter Yang recommends using Anthropic’s open-source /frontend-design skill (github.com/anthropics/skills/tree/main/skills/frontend-design) and feeding that link to OpenAI Codex to reverse-engineer your front-end design. #14 𝕏 DeepLearning.AI shares Zora Z. Wang et al.’s study mapping AI agent benchmark tasks to US labor stats. The analysis reveals benchmarks skew heavily toward software development and overlook the diverse tasks most workers perform. #15 𝕏 Thariq shows how to leverage Claude Code for non-technical tasks by dropping a batch of files into a folder and instructing it to automatically write scripts and generate HTML. #16 𝕏 Dharmesh Shah calls “agent building” a high-value, high-leverage skill in growing demand, noting that as AI models and harnesses improve, its value rises because builders can tackle more business challenges. #17 𝕏 Santiago argues AI agents like Spoki are reshaping software so you no longer learn tools but simply tell them what you want. Spoki unifies marketing, sales, and customer care into one continuous conversational CRM across WhatsApp, SMS, and Voice AI. #18 📝 Simon Willison The pressure - Daniel Stenberg describes an unprecedented surge of high-quality, often AI-assisted security reports hitting the curl project, increasing workload and stress for maintainers. Despite the volume, most vulnerabilities found in recent years have been low or medium severity. #19 📝 Ampcode Chronicle Proof of Human - Amp now supports requiring an active passkey-authenticated “sudo” session for sensitive actions (for example, remote-controlling a thread) to protect accounts from attackers and to serve as proof-of-human for future features. You can enable this by turning on “Use Sudo” and setting up a passkey in settings, workspace admins can enforce it for members, and some privileged admin operations always require an active sudo session. #20 𝕏 Garry Tan says this is solvable by running a smoke-testing AI on any Mac, and reveals that GStack now supports real iOS device testing via a simple “/qa” command. #21 𝕏 Mustafa Suleyman reports that the model delivers robust visual reasoning across objects, scene structure, lighting, scale, and spatial relationships, turning simple directions into polished images. #22 𝕏 Philipp Schmid published a hands-on developer guide for Google Cloud’s Gemini Managed Agents, walking through agent provisioning and invocation via the google-genai Python SDK, JSON-based task definitions, and end-to-end orchestration of multi-step workflows. Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly

“Google DeepMind expanded its partnership with Singapore to safely deploy AI at scale, launching new programs with country experts to accelerate scientific discovery, strengthen pandemic preparedness, and improve healthcare.”

GenAI PM Daily May 24, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 12 insights for PM Builders, ranked by relevance from X, YouTube, Blogs, and LinkedIn. How CrewAI’s Iris auto-codes PRs in Slack #1 𝕏 Logan Kilpatrick finds Gemini 3.5 Flash on Vending Bench’s Pareto frontier for cost‐per‐intelligence, marking it as one of the most cost‐efficient models for running simulated store operations. #2 𝕏 Google DeepMind expanded its partnership with Singapore to safely deploy AI at scale, launching new programs with country experts to accelerate scientific discovery, strengthen pandemic preparedness, and improve healthcare. #3 ▶️ AI Dev 26 x SF | Luke Kim: The Agent Data Stack—Why Every AI Agent Needs Its Own Data Stack Deeplearning.ai Luke Kim demonstrates how Spice AI’s open-source agent data stack integrates with OpenClaw to federate SQL across Parquet, Iceberg, Snowflake, MySQL, MongoDB, and Elasticsearch and deliver local acceleration via DuckDB/SQLite (backed by Vortex) so an AI agent can diagnose and resolve a simulated production incident in real time. Spice AI replicates working sets from heterogeneous stores into embedded databases (DuckDB or SQLite) accelerated by a custom Vortex engine, exposing them as a unified SQL endpoint and OpenAI-compatible API. In the demo, the presenter scaled a load generator from 1 to 6 replicas—triggering a Grafana latency alert in Slack—after which the OpenClaw agent recommended scaling the order service to 3 replicas and changing the PostgreSQL connection pooler mode from "session" to "transaction". After applying the agent’s recommendations, Grafana metrics showed order service latency and error rates drop back to baseline and request throughput increase, all without granting the agent direct access to backend systems. #4 ▶️ AI Dev 26 x SF | João Moura: Building Recurring, Governed, and Embedded Enterprise Workflows Deeplearning.ai CrewAI built 'Iris', an autonomous Slack-based coding agent that maintains its own memory, writes new skills and flows, and this week altered nearly 50% of all pull requests at the company. Iris answered a designer request by extracting 130 hard-coded color values from the CrewAI application for integration into the design system. Iris self-generates updates by writing its own skills and flows, leading to it altering almost half of the company’s pull requests in a single week. CrewAI published a library of reusable agent skills at skills.creai.com, including a "decide" skill that encodes and surfaces company decision-making processes within engineers’ terminals.

“Google DeepMind is expanding its imperceptible SynthID watermark for AI-generated content to more partners. It’s also adding detection via simple queries in the @GeminiApp or @Google Search.”

#3 𝕏 Google DeepMind is expanding its imperceptible SynthID watermark for AI-generated content to more partners. It’s also adding detection via simple queries in the @GeminiApp or @Google Search. #4 𝕏 Google DeepMind launched Project Genie with Google Maps Street View, letting users transform real U.S. locations into immersive, interactive worlds.

“Google DeepMind launched Science Skills for Google @Antigravity, a new AI toolkit integrating insights from 30+ life-science sources—like UniProt and the AlphaFold Database—to accelerate day-to-day research workflows.”

#8 𝕏 Google DeepMind launched Science Skills for Google @Antigravity, a new AI toolkit integrating insights from 30+ life-science sources—like UniProt and the AlphaFold Database—to accelerate day-to-day research workflows.

“Google DeepMind launches Gemini 3.5 Flash for low-latency inference”

GenAI PM Daily May 21, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 25 insights for PM Builders, ranked by relevance from Blogs, X, and LinkedIn. Google DeepMind launches Gemini 3.5 Flash for low-latency inference #1 📝 OpenAI News An OpenAI model has disproved a central conjecture in discrete geometry - An internal OpenAI model produced a proof that disproves Erdős’s conjectured upper bound u(n)=n^{1+o(1)} for the planar unit-distance problem by constructing, for infinitely many n, point sets with at least n^{1+δ} unit-distance pairs (the original proof didn’t give δ but a refinement by Will Sawin shows δ = 0.014); the proof — using ideas from algebraic number theory — has been checked and endorsed by external mathematicians. Also covered by: @Sam Altman , @OpenAI #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

“Google DeepMind launched the Build with Gemini XPRIZE Hackathon, offering a $2 M prize pool for developers to build real-world apps that tackle global challenges—from reducing food waste to advancing scientific research.”

#11 𝕏 Google DeepMind launched the Build with Gemini XPRIZE Hackathon, offering a $2 M prize pool for developers to build real-world apps that tackle global challenges—from reducing food waste to advancing scientific research.

“OpenAI announced it has become a C2PA Conforming Generator Product and is strengthening provenance by adding C2PA-compatible Content Credentials, adopting Google DeepMind’s SynthID invisible watermarking for images generated via ChatGPT, Codex, and the OpenAI API, and previewing a public verification tool to detect those signals.”

#7 📝 OpenAI News Advancing content provenance for a safer, more transparent AI ecosystem - On May 19, 2026, OpenAI announced it has become a C2PA Conforming Generator Product and is strengthening provenance by adding C2PA-compatible Content Credentials, adopting Google DeepMind’s SynthID invisible watermarking for images generated via ChatGPT, Codex, and the OpenAI API, and previewing a public verification tool to detect those signals. The company says the multi-layered approach—combining metadata and watermarking—addresses metadata loss (noting prior visible watermarks in Sora and audio watermarking in Voice Engine), the verification tool will initially only cover OpenAI-generated content, and it will avoid definitive conclusions when no provenance signals are detected.

“#5 𝕏 Google DeepMind launched interactive experiments in Google AI Studio showcasing an AI-enabled mouse pointer to guide next-generation interface design.”

#5 𝕏 Google DeepMind launched interactive experiments in Google AI Studio showcasing an AI-enabled mouse pointer to guide next-generation interface design.

“#8 𝕏 Google DeepMind launched the Gemini-powered AlphaEvolve coding agent, accelerating breakthroughs over the past year in quantum research, biotechnology, logistics, and Google’s AI infrastructure.”

Google DeepMind is mentioned as the launcher of AlphaEvolve, a Gemini-powered coding agent.