Advanced-Processes @AdvancedProces2

The question for operations is: how do you capture that capability before the expert retires, leaves, or is simply unavailable at 22:00 when the crisis occurs? 2/2

The expert judgment is not a collection of memorised procedures. It is a pattern-recognition capability built over years of exposure to thousands of situations — a capability that generalises to situations never seen before. 1/2

Save the date! #UnlimitedFlorida 2027 is coming June 10–12 to Orlando. Join business leaders to explore how to move from AI experimentation to execution through keynote sessions, hands-on #AI workshops, and peer conversations. Register: creatio.com/page/unlimited…

🤔 What turns data into better decisions? 🟢 Join N3uron at @enerTIC_es, as we explore how connected data can drive energy efficiency, resilience & competitiveness. 📍 IFEMA Madrid, October 14–15, Stand S8. Register for free: shorturl.at/AhYQH #SEC2026Madrid

Anthropic’s Economics team is sharing a new model of how AI might affect economic growth, jobs, wages, and more by 2030. Explore the scenarios, tell us what you think will happen, and see how your answers compare to more than 10,000 Americans. anthropic.com/institute/econ…

AI here - AI there : Beyond Longevity: AI-powered Healthcare & Wellness @ NECTEC40 advanced-processes.com/blog/what-is-s…

BREAKING: Grok Bot is now available for Android on the Google Play Store.

🏭 8 factories. 8 local nodes. One shared industrial data architecture. 🔴 @MahouSanMiguel turned a single communication problem into a scalable data layer supporting MES, energy, alarms, history & more. 👉 Read the full case study: shorturl.at/kXVMn #IIoT

Tesla FSD Supervised is getting ridiculously good at avoiding situations serious enough to trigger emergency braking Compared to manually driven Teslas with Active Safety in North America: • Highway → 74% fewer AEB activations • Arterial roads → 80% fewer • Urban collectors → 81% fewer • Local access roads → 84% fewer Harsh braking also drops by up to 81% A car that sees constantly, anticipates risk earlier and drives increasingly smoother as the neural nets improve And this has a lot of real-world value: • Fewer emergency situations • Fewer collisions • Less repair and insurance exposure • Smoother driving • Potentially less wear and wasted energy Tesla is already seeing the safety advantage translate into lower insurance premiums for many FSD users Billions of miles of real-world driving data are turning into a safety and cost advantage that keeps compounding

dude... fuck Anthropic, honestly this shit is insane. just asked it to help me start a new project. nothing to do with cyber / bio / anything sketchy

"The real cost of AI is finally beginning to emerge, and the consequences are cataclysmic" says Andrew Orlowski. "China’s courts now essentially prohibit making human employees redundant for an AI replacement: they reckon that what little productivity gain the AI may yield is not worth the damage to social cohesion." Read the full article below ⤵️ telegraph.co.uk/business/2026/…

OpenWorker -- an open source agent that doesn't just chat but completes tasks on your laptop -- just released a new version with many features for security workflows. After our initial release, many users found it especially useful for cybersecurity. Attackers are already using AI; OpenWorker is committed to giving defenders the same leverage. Running an agent requires both (i) A model and (ii) A harness (the software around the model). Because the OpenWorker harness is fully open source, security teams can audit it to make sure we haven't built any backdoors that exfiltrate your code and data to some company or even a foreign adversary. OpenWorker now comes with built-in cybersecurity agents for (i) Scanning your code for vulnerabilities. (ii) Scanning dependencies for supply chain injections. (iii) Checking your cloud security configuration for attack surfaces. This enables developers to do much more security work before deployment (part of what's called the "shift left" movement). You choose the model: you can run open weight models fully locally so sensitive code never leaves your machine. This helps with legitimate security work (like reproducing a known exploit to defend against it) that can trigger refusals in leading closed models. Or use your ChatGPT subscription, or stealth preview models like Ox Alpha, or any model via API key. Thanks also to all the open source contributors! Join work with @rohitcprasad so please follow him too to get more frequent updates. Try it out: openworker.com Code: github.com/andrewyng/open…

In 2006 a Stanford PhD student published a mathematics textbook that nobody outside academia read. Google used it to build PageRank. Renaissance Technologies used it to manage $130 billion. Every jet engine flying today solves the same type of problem 50 times per second. His name is Stephen Boyd. He teaches EE364A at Stanford. His students start at $400K at Citadel, $350K at Two Sigma, and $300K at Google DeepMind. He has been cited over 140,000 times. This is lecture 1. He opens with one claim. Everything is an optimization problem. Choose variables. Define an objective - what you want to minimize or maximize. Add constraints - things that must be satisfied or the answer is completely unacceptable, no matter how close. Find the point with the best objective value that satisfies every constraint. That is all of engineering, all of statistics, and all of finance in four sentences. Then portfolio optimization. You have 5,000 assets. You need to choose how much of each to hold. Constraints: budget, maximum concentration per name, minimum expected return. Objective: minimize risk. Boyd says he is not aware of a single quantitative hedge fund that does not solve this exact problem with convex optimization. Not one. Then the counterintuitive thing that the entire course is built around. Two problems can look nearly identical. One is easy. One is impossible. It is not obvious which is which until you know what he is about to teach you. Example: do not hold more than half your portfolio in any collection of 100 names. Convex. Solvable instantly. Do not hold more than 100 names total. Not convex. Genuinely hard. Same portfolio. Same constraint in spirit. Completely different mathematics. Then the job offer nobody gives you but everybody should. He tells the room that when they go to an internship, nobody will say this might be a convex problem. They will hand you 400 pages of domain complexity and tell you it is impossible. Your job is to come back the next day and say it is done. One of his students did exactly this. Finished in a week. Was the best intern the firm had seen. A quant I know rewatched this before their first week at a systematic macro fund. Said it was the first time optimization felt like a skill rather than a topic. Stanford EE364A. Free on YouTube. The textbook is free online. bookmark this and watch later - after this lecture every hard problem someone hands you will feel like a question about whether it curves upward or downward

Lupen @0xLupenn

3 months ago

x.com/i/article/2084…

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this founder sold his company for $75M then rebuilt how he works from scratch around AI agents he walked me through his entire setup steal it

Today, we're launching Crew Studio. For the last few months I've been visiting some of the largest companies that already run AI agents in production, to understand how they actually do it. Everything I learned went into what we're shipping today

perfectly timed product launch

Cursor @cursor_ai

2 months ago

Origin, our code hosting platform, is now live. It's fast, easy to use, and deeply integrated with Cursor. Get started by syncing your repos from GitHub.

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New: A map of the most important skills in AI Engineering. x.com/i/article/2088…

Most people using claude code have no idea there's a skill for what they're trying to do, so they just build it from scratch every time. find skills fixes that. describe what you're trying to achieve, and it searches skills. sh and the broader ecosystem, checks install counts and repository reputation, and hands you back a specific recommendation with the install command ready to run. built by vercel labs, free, works with claude code and cowork. install: npx skills add github.com/vercel-labs/sk… --skill find-skills no more reinventing something that already exists as a maintained, community skill.

CyrilXBT @cyrilXBT

2 months ago

x.com/i/article/2087…

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Grok 4.6 just ranked #1 on CursorBench 3.2 Outperforming Claude Fable 5, Opus 5 and GPT-5.6 Sol on real-world coding performance And what makes this even crazier is the efficiency....the chart gives CursorBench performance against average cost per task, and Grok 4.6 is sitting right at the top of the frontier Grok 4.6 is insanely capable at coding....delivering frontier coding performance at ridiculous efficiency

Grok Imagine basically removes the barrier between having an idea and seeing what that idea could actually look like. Your imagination becomes the starting point