Anthropic

“I think Anthropic and OpenAI have found product-market fit - Simon argues that Anthropic and OpenAI appear to have reached product-market fit, driven by rising LLM usage and surprising cost impacts for companies.”

#23 📝 Simon Willison I think Anthropic and OpenAI have found product-market fit - Simon argues that Anthropic and OpenAI appear to have reached product-market fit, driven by rising LLM usage and surprising cost impacts for companies. He cites rumors of Anthropic approaching profitability and stories of unexpectedly high LLM bills as evidence.

“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.”

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

“#3 ▶️ How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast Felix Rieseberg uses Claude Cowork’s Python-based virtual machine with Sonnet 4.6 and the Gmail connector to analyze a realtor-provided 2D floor plan, generate a dimensioned 3D interactive walkthrough, and auto-populate furniture from email receipts.”

#3 ▶️ How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast Felix Rieseberg uses Claude Cowork’s Python-based virtual machine with Sonnet 4.6 and the Gmail connector to analyze a realtor-provided 2D floor plan, generate a dimensioned 3D interactive walkthrough, and auto-populate furniture from email receipts. Claude Cowork ran Python code under Sonnet 4.6 to perform contrast analysis on a 2D floor plan image, detect wall locations and thicknesses, and output a new plan annotated with room dimensions.

“#2 ▶️ How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast • May 25, 2026”

AI Updates Today #2 ▶️ How the engineer behind Claude Cowork actually uses Claude | Felix Rieseberg (Anthropic) How I AI Podcast • May 25, 2026 Summary not available in expected format. Key Takeaways: Unable to extract specific content from this video. Please refer to the original video for details. The AI was unable to structure the response correctly.

“Anthropic launches Project Glasswing security scanner #1 📝 Anthropic News Project Glasswing: An initial update - Project Glasswing, launched last month, used Claude Mythos Preview with about 50 partners to surface more than 10,000 high- or critical‑severity vulnerabilities in systemically important software (Cloudflare reported 2,000 bugs, 400 high/critical) and partners say bug‑finding rates increased by over tenfold.”

GenAI PM Daily May 23, 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 YouTube. Anthropic launches Project Glasswing security scanner #1 📝 Anthropic News Project Glasswing: An initial update - Project Glasswing, launched last month, used Claude Mythos Preview with about 50 partners to surface more than 10,000 high- or critical‑severity vulnerabilities in systemically important software (Cloudflare reported 2,000 bugs, 400 high/critical) and partners say bug‑finding rates increased by over tenfold. Anthropic also scanned over 1,000 open‑source projects and estimated 6,202 high/critical issues out of 23,019 total, triaged 1,752 of those (90.6% true positives, 62.4% confirmed high/critical), found concrete exploits including wolfSSL's CVE-2026-5194, and says the new bottleneck is human triage, disclosure, and patching. Also covered by: @Mario Zechner #2 𝕏 Anthropic reports that Claude Mythos Preview uncovers a surge of security vulnerabilities, meaning patching them boosts safety but forces the software industry to scale its processes—as detailed in their initial Project Glasswing update. #24 📝 Claude Code Blog How Anthropic's finance team uses Claude to shape the narrative behind the numbers - A case study describing how Anthropic’s finance team uses Claude to turn financial data into clear narratives, improving productivity and reporting. The article highlights practical uses of Claude Cowork within financial services to streamline analysis and storytelling.

“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.”

#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.

“KPMG has formed a global alliance with Anthropic to embed Claude into its Digital Gateway platform and give all 276,000+ employees access, using Claude for tax, legal, cybersecurity and private equity work while being named a preferred Anthropic partner for PE.”

#8 📝 Anthropic News KPMG integrates Claude across its core business and workforce of more than 276,000 in strategic alliance - KPMG has formed a global alliance with Anthropic to embed Claude into its Digital Gateway platform and give all 276,000+ employees access, using Claude for tax, legal, cybersecurity and private equity work while being named a preferred Anthropic partner for PE. With Claude Cowork, Managed Agents and offerings like KPMG Blaze (embedding Claude Code), KPMG says teams can build AI agents and modernize systems in minutes rather than weeks under its Trusted AI framework, supported by joint research with UT Austin on human-in-the-loop deployment.

“Anthropic announced it has acquired Stainless, a company founded in 2022 that has powered every official Anthropic SDK and whose tooling generates SDKs, CLIs, and MCP servers for hundreds of companies across languages including TypeScript, Python, Go, Java, and Kotlin.”

#3 📝 Anthropic News Anthropic acquires Stainless - Anthropic announced it has acquired Stainless, a company founded in 2022 that has powered every official Anthropic SDK and whose tooling generates SDKs, CLIs, and MCP servers for hundreds of companies across languages including TypeScript, Python, Go, Java, and Kotlin. The acquisition is intended to integrate Stainless’s SDK and server tooling into Anthropic’s MCP to improve Claude’s agent connectivity and developer experience.

“#1 𝕏 Peter Yang breaks down Anthropic’s build of the next Claude with Alex Albert: they co-design the model and harness, use Claude to cluster user feedback into synthetic evals, and train its character and personality.”

Today's top 10 insights for PM Builders from X and LinkedIn. #1 𝕏 Peter Yang breaks down Anthropic’s build of the next Claude with Alex Albert: they co-design the model and harness, use Claude to cluster user feedback into synthetic evals, and train its character and personality.

“#6 𝕏 Peter Yang asks how to PM a frontier model like Opus, exploring with Alex Albert (Anthropic’s research PM for the next Claude) how to prioritize capabilities, build “dreaming” into Claude’s memory, and train its personality (and gauge if it’ll reach consciousness).”

Today's top 13 insights for PM Builders, ranked by relevance from X, Blogs, and LinkedIn. Why LLM features need end-to-end observability metrics #1 𝕏 Boris Cherny upgraded /usage to show personalized token usage by plugin, skill, and parallel agent, so you can pinpoint high-consumption drivers and maximize your doubled rate limits. #2 𝕏 xAI integrates X Premium subscriptions into Hermes Agent and equips it with native search across X posts. #3 📝 PromptLayer Blog A deep dive into LLM observability tools - Discusses the need for observability when shipping LLM-powered features, since models can return confidently wrong answers while logs show successful API responses. Argues observability must connect inputs, outputs, latency, cost, and quality to diagnose real production issues. #4 𝕏 Sebastian Raschka presents a visual overview of recent LLM architectures—from Gemma 4 to DeepSeek V4—showcasing long-context efficiency tweaks. He dives into innovations like KV sharing, per-layer embeddings, layer-wise attention budgets, compressed attention, and mHC. #5 𝕏 Garry Tan launched GBrain, an open-source knowledge system (not RAG in a box) with eight memory-enhancing layers that make agents like OpenClaw and Hermes feel clairvoyant about you, paving the way for personal AI. #6 𝕏 Peter Yang asks how to PM a frontier model like Opus, exploring with Alex Albert (Anthropic’s research PM for the next Claude) how to prioritize capabilities, build “dreaming” into Claude’s memory, and train its personality (and gauge if it’ll reach consciousness).