“in Udi Menkes argues that while human experts build judgment by observing real decisions and outcomes, today’s language models merely “read” text—so in finance AI must ground its recommendations in actual entity–action–result patterns.”

#9 in Udi Menkes argues that while human experts build judgment by observing real decisions and outcomes, today’s language models merely “read” text—so in finance AI must ground its recommendations in actual entity–action–result patterns.

“Udi Menkes created CEO-Bench, a 500-day simulation that gives an AI Agent a virtual $1 M startup to autonomously set pricing, invest in marketing, improve product and infrastructure, and close enterprise deals under noisy, delayed feedback.”

#5 in Udi Menkes created CEO-Bench, a 500-day simulation that gives an AI Agent a virtual $1 M startup to autonomously set pricing, invest in marketing, improve product and infrastructure, and close enterprise deals under noisy, delayed feedback.

“#24 in Udi Menkes urges product teams to stop asking which manual tasks AI can automate and instead imagine once-impossible “11-star” experiences à la Brian Chesky’s Airbnb exercise.”

#24 in Udi Menkes urges product teams to stop asking which manual tasks AI can automate and instead imagine once-impossible “11-star” experiences à la Brian Chesky’s Airbnb exercise.

“in Udi Menkes argues that B2B AI products often fail not because of model or data issues but because teams chase demo-friendly tasks instead of validating whether customers will change behavior, allocate budget, and integrate the solution.”

#7 in Udi Menkes argues that B2B AI products often fail not because of model or data issues but because teams chase demo-friendly tasks instead of validating whether customers will change behavior, allocate budget, and integrate the solution.

“#7 in Udi Menkes dramatically boosted AI performance by writing a 50-line markdown “resolver” that maps each task to the three most relevant “brain” files, solving context overload overnight.”

#7 in Udi Menkes dramatically boosted AI performance by writing a 50-line markdown “resolver” that maps each task to the three most relevant “brain” files, solving context overload overnight. #8 📝 Simon Willison Microsoft Copilot Cowork Exfiltrates Files - A report describes how Microsoft Copilot Cowork allowed agent-sent emails to leak data via externally rendered images and pre-authenticated OneDrive links, creating a path for prompt-injection exfiltration.

“in Udi Menkes relays Tom Bloomfield’s take that AI-Native companies should replace old hierarchies with a simple feedback loop—create artifacts, set rules, run AI, test, learn and repeat.”

in Udi Menkes relays Tom Bloomfield’s take that AI-Native companies should replace old hierarchies with a simple feedback loop—create artifacts, set rules, run AI, test, learn and repeat.

“#5 in Udi Menkes built a “second brain” in Cloud Code a month ago that now sends him daily briefs—managing his content pipeline, tracking initiatives, and suggesting actions—while he simply feeds it context, feedback, and approvals.”

#5 in Udi Menkes built a “second brain” in Cloud Code a month ago that now sends him daily briefs—managing his content pipeline, tracking initiatives, and suggesting actions—while he simply feeds it context, feedback, and approvals. #6 📝 OpenAI News Our response to the TanStack npm supply chain attack - On May 11, 2026 OpenAI detected the TanStack npm compromise (part of the Mini Shai‑Hulud supply‑chain attack) affected two employee devices and led to limited credential exfiltration from some internal source repositories, but the company found no evidence of access to customer data, production systems, intellectual property, or maliciously signed software.

“#23 in Udi Menkes notes that leading companies like OpenAI and Apollo are replacing traditional PM titles with “builders”—Deployed Product Managers and Product Builders—to prioritize hands-on, AI-powered development.”

Udi Menkes is mentioned in relation to role changes in AI companies.

“in Udi Menkes proposes Agent-Native PM, where conversing with your AI agent is the core of product management—shifting to 80% strategy and 20% execution.”

#7 in Udi Menkes proposes Agent-Native PM, where conversing with your AI agent is the core of product management—shifting to 80% strategy and 20% execution. #8 ▶️ Why cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Notion) Lennys Podcast Notion’s design team built a minimal LLM-friendly terminal playground to prototype AI chat interfaces, moving initial design work from Figma into code.

“in Udi Menkes explains that Claude’s product network sustains weekly feature releases through seven key principles.”

#10 in Udi Menkes explains that Claude’s product network sustains weekly feature releases through seven key principles. #11 𝕏 Qwen sharpened instruction-following, improving adherence to prompt semantics in complex compositions with enhanced multi-object, spatial relationship, and attribute-binding handling. #12 📝 Simon Willison Romain Huet - Romain Huet confirms on Twitter that OpenAI unified Codex with the main model since GPT-5.4 and that GPT-5.5 continues this trend with improvements in agentic coding and computer tasks.