“𝕏 Udi Menkes 🚢 shared AI Engineer’s video of his talk on Intuit’s financial-advice system, which derives millions of business state–action–outcome trajectories, uses reinforcement learning to select better actions, and trains an LLM to generate advice.”

#1 𝕏 Udi Menkes 🚢 shared AI Engineer’s video of his talk on Intuit’s financial-advice system, which derives millions of business state–action–outcome trajectories, uses reinforcement learning to select better actions, and trains an LLM to generate advice.

“#10 in Udi Menkes coins the “Reverse Information Paradox,” observing that companies using AI pay not only in cash but also by revealing proprietary prompts, corrections, evals and workflows.”

#9 𝕏 Aravind Srinivas warns that restrictive distillation terms and one-way usage data capture centralize economic value with infrastructure owners, not creators. He urges every firm to run its own distributed learning infrastructure to reclaim control of its learning loop. #10 in Udi Menkes coins the “Reverse Information Paradox,” observing that companies using AI pay not only in cash but also by revealing proprietary prompts, corrections, evals and workflows. #11 𝕏 Teresa Torres : Snapbar’s COVID cash crisis and obsolete product line forced “gritty resourcefulness,” driving bold bets on WebRTC and later generative AI + video that now power its AI-native offerings.

“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.