🅜🅐🅡🅚 🅦🅔🅔🅚🅢

Head of Product @Inorsa_ai, building AI coworkers for critical infrastructure. Ex-@procoretech, @ServiceTitan. Deconstructor and builder. Writing Multilogue.

[Google Cloud Tech @GoogleCloudTech]

https://t.co/X3KNpVZcaZ

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

How do you put AI to work in your organization?

This Wednesday, I’m co-producing @ventechforum's The Future of Work: Humans + AI Agents.

We’ll explore the practical decisions behind AI adoption across businesses, education, and government:

• How do employees get the tools, skills, and support to use AI effectively?
• Who gets access to which tools and data?
• What work can agents take on, and where does human judgment remain essential?
• How do organizations budget for AI and assess what that spending delivers?

The evening includes a live demonstration of AI agents and a panel moderated by Mike Wald (Coastal Intelligence), featuring:

Diana H. Pereira — Founder & CEO, Balance Financial Management
Jimi Smoot — Founder & CEO, Assist Technologies
Josh Narva — Partner, Riviera Partners

What question would you ask the panel? Reply here.

Wednesday, October 21 | 5:30–8:00 PM
Cabrillo Pavilion, Santa Barbara

Event details and registration at https://t.co/Z0puAgY2OT

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

@OpenAI Naming mine was the toughest decision of the setup process. Crowdsourcing the best dot names: https://t.co/epUlsfhCaX

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

The biggest decision you make when setting up a remarkably capable, always-on agent built to handle everything... What to name it?

Additional ideas welcome in the replies. @OpenAI

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

@OpenAI Additional candidates considered:

- Connect the Dot
- Polka Dot

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

The biggest decision you make when setting up a remarkably capable, always-on agent built to handle everything... What to name it?

Additional ideas welcome in the replies. @OpenAI

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

@jomatech “Was the optimal load even solvable? And at what cost?”

Pure genius. Well done.

[Joma Tech @jomatech]

Introducing ChatGPT for Dishwashing

GPT-6 achieves state-of-the-art results on dishwashing benchmarks for long-running jobs and difficult stains.

The Navier–Stokes Millennium Prize Problem is a $1 million challenge about whether the equations describing fluid motion can break down. In this video, I accidentally found a counter-example while trying to optimize my dishwasher. But in reality, OpenAI used 10,000 AI agents to find a proof in 88 hours: https://t.co/6HTwFfXnm1

Parody of the original GPT-6 Astra ad

@OpenAI #ChatGPT_Partner #chatgpt

Credits:

Written and Directed by Joma
Co-Writer - Henry Connor Coan IV @coan_henry
Production by Dauntlus Studios @dauntlus.studios
Producer/Co-Director - Marcus Liew @dauntlus
Camera Operator - Amos Lee @amoselijahlee
Art Director - Alethea Soo @aletheasoo
Art Assistant - Alicia Lim @aliciatkl_
Assistant Editor - GPT-6 Astra

Music: Tensions Run High by Soundridemusic
https://t.co/kBUsd2DK76

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

Why I Joined Inorsa to Build the First AI-Enabled Platform for Infrastructure Assets https://t.co/CT5mGswOvX via @LinkedIn

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

Send your name around the Moon aboard Orion!
🌌 https://t.co/qTARrykd9z

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

My “boarding pass” for 🚀 Artemis II — NASA’s first crewed lunar mission in 50+ years. My daughter is especially excited that @Astro_Christina will become the first woman to travel to the Moon 🌙.
👉 https://t.co/qTARrykd9z

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

Artemis II is a ~10-day mission planned for Feb–Apr 2026. Four astronauts aboard the Orion spacecraft will loop around the far side of the Moon — 230,000+ miles from Earth — testing deep space systems that pave the way for lunar landings and crewed missions to Mars.

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

Here’s a preview of the insights shaping product & growth strategy right now:

1️⃣ Simplicity as a superpower 2️⃣ Growth built into experiences 3️⃣ AI connecting design, engineering & GTM 4️⃣ Data + intuition for better decisions 5️⃣ Agile frameworks for impact

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

Missed a Session at the Lenny & Friends Summit? Here’s Your 5-Theme Recap for Product & Growth Leaders https://t.co/K3WyRcKoFk #ProductStrategy #Growth #AI #Innovation #TechInsights

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

🚀 AI is transforming our world! From ChatGPT to machine vision, AI is reshaping industries. My latest post explores how AI works, its challenges, and the ethical questions ahead. 🌐 https://t.co/DnqAoOVQoj #AI #ArtificialIntelligence #TechInnovation #MachineLearning #AITrends

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

🧠 Explore how contextual awareness & emotion recognition are shaping the future. 🔮

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

🎙️ From smart homes to conversational AI, talking to machines is becoming second nature. But what happens behind the scenes? 🤔

https://t.co/ormKAS9rUd

#VoiceAI #AI #TechInnovation #ArtificialIntelligence #SmartHomes

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

How does politeness impact these interactions—and what does it mean for the future of human-AI relationships?

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

🤖💬Do You Say “Please” to AI? The Hidden Etiquette of Human-Computer Interaction💬🤖

Why Our Conversations with AI Reveal More About the Future of Technology—and Ourselves—Than We Realize

Read more: https://t.co/Abd0wj7jp4

#AI #Chatbots #TechEthics #DigitalEtiquette

[🅜🅐🅡🅚 🅦🅔🅔🅚🅢 @MarkAWeeks]

In my latest post, I explore how our interactions with AI-powered chatbots (like GPT & Siri) reveal more about human behavior and digital etiquette than we realize.

#HumanComputerInteraction #AIConversations #ArtificialIntelligence