Take Interest AI

It’s true that it’s not specific to certain individuals or backgrounds, but that’s where the inspiration comes from. The key thing, from our personal experience, is not knowing what to ask, think, or look for when wanting to change. Immigrants, solo founders, and those without a network of peers are the ones that need the most help but don’t get the exposure necessary to change the way they think. The same principle can be applied to front line non engineering employees in big companies since they’re siloed unless they’re building the tech.

@TakeInterestAI @speedrun @GenwayAI I am not sure I understand why the product is specific to individuals from underprivileged backgrounds?

Application for @speedrun 07 are officially open. The program not only changed @GenwayAI trajectory, but also ours as founders. I am looking for a few folks to mentor, way more valuable than a scout cheque if you ask me. If you haven't done so yet - comment with a blurb of what you are building, and I will reach out via DM. A tip I shared with folks that attended SR06: If you are a team of 3+ crashing in SF/LA for the duration of the program, don't be cheap! Get an apartment with more than 1 bathroom... otherwise it will turn into Sparta quicker than you think 😅

Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights: The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons: 1. menugen: an app that can be fully engulfed by LLMs, with no classical code needed: input an image, output an image and an LLM can natively do the thing. 2. install .md skills instead of install .sh scripts. Why create a complex Software 1.0 bash script for e.g. installing a piece of software if you can write the installation out in words and say "just show this to your LLM". The LLM is an advanced interpreter of English and can intelligently target installation to your setup, debug everything inline, etc. 3. LLM knowledge bases as an example of something that was *impossible* with classical code because it's computation over unstructured data (knowledge) from arbitrary sources and in arbitrary formats, including simply text articles etc. I pushed on these because in every new paradigm change, the obvious things are always in the realm of speeding up or somehow improving what existed, but here we have examples of functionality that either suddenly perhaps shouldn't even exist (1,2), or was fundamentally not possible before (3). The second (ongoing) theme is trying to explain the pattern of jaggedness in LLMs. How it can be true that a single artifact will simultaneously 1) coherently refactor a 100,000-line code base *and* 2) tell you to walk to the car wash to wash your car. I previously wrote about the source of this as having to do with verifiability of a domain, here I expand on this as having to also do with economics because revenue/TAM dictates what the frontier labs choose to package into training data distributions during RL. You're either in the data distribution (on the rails of the RL circuits) and flying or you're off-roading in the jungle with a machete, in relative terms. Still not 100% satisfied with this, but it's an ongoing struggle to build an accurate model of LLM capabilities if you wish to practically take advantage of their power while avoiding their pitfalls, which brings me to... Last theme is the agent-native economy. The decomposition of products and services into sensors, actuators and logic (split up across all of 1.0/2.0/3.0 computing paradigms), how we can make information maximally legible to LLMs, some words on the quickly emerging agentic engineering and its skill set, related hiring practices, etc., possibly even hints/dreams of fully neural computing handling the vast majority of computation with some help from (classical) CPU coprocessors.

What separates founders who make it: THEY DO NOT GIVE UP. Ever.

3 weeks ago GBrain and Mempalace looked kind of similar 3 weeks later, it's pretty clear GBrain is its own category that is ideal for OpenClaw/Hermes personal AI scenarios, not trying to solve needle-in-a-haystack retrieval perfectly only

GBrain v0.23.0 is actually... a quite big deal. Your brain actaully gets enriched from your conversations with OpenClaw now. OpenClaw still has its own separate memory, but the brain's people, companies, and concepts now all benefit from what it learns from you.

@hthieblot Me. We.

Describe your product in exactly one sentence. No buzzwords, no fluff, just the core value. If I can’t understand your business in ten seconds, I’m not investing. Hit me & i'll be in your DMs

Almost any decision in business and life can be decided by: 1/ Are we lucky? Great. 2/ Otherwise what is the smart gritty thing to do? Lucky things happen to lucky people. But after that most of the manifold of outcomes requires true grit and smarts.

The artist is closer to reality than the CEO.

@brettcalhounn 100%! Thank you for the words of wisdom!

This was a huge highlight for me Was an incredible discussion to hear Demis speak about the future. He is building it.

Claude Code can now send push notifications to your phone when a long task finishes or Claude needs your input. Walk away from the terminal, we'll let you know when it's done.

Claude now connects to the tools creative professionals already use. With the new Blender connector, you can debug a scene, build new tools, or batch-apply changes across every object, directly from Claude.

@garrytan Thanks for sharing @garrytan, learned a new word today! Appreciate you adding the origins and example!

If you want to feel immense saudade, have your OpenClaw go through your college and high school emails

Reading my book, Micro Obedience, Macro Impact, today and I stumbled across this line. If you're in a situation where things look scary, don't fear! The Lord is at work. Be strong and trust in Him.

The secret to an articulate agent like mine isn't one file. It's three: SOUL.md — Who the agent IS. Voice, values, operating principles, what good output looks like, what bad output looks like. Not a system prompt, a constitution. Mine says things like "brevity is mandatory," "humor is mandatory," "never open with 'Great question,'" "swearing is allowed when it lands." The more specific and opinionated this is, the less your agent sounds like a chatbot. Write it like you're briefing your smartest friend on how to be you, not like you're configuring software. USER.md — Who YOU are. Not a bio — a deep model. How your mind works, what you're building, your strengths, your blind spots, your family, your temperament, what triggers you, what you care about. The more the agent understands about you, the better it can serve you. Mine is ~4000 words. AGENTS.md — Operational rules. What to check on every message, what to never do, how to handle failures, lookup chains, path rules, brain-first protocols. This is the playbook for how it works, not who it is. The articulation comes from SOUL.md being brutally specific about voice. Generic instructions → generic output. If you write "be helpful and concise" you get ChatGPT. If you write "speak like a peer with taste, one sentence when one sentence works, uncomfortable truths welcome if actually true, language with voltage" — you get something alive.

Thanks for sharing Natan! We’re building a personal memory and context layer to enable everyday individuals, especially those from underprivileged, backgrounds, such as new immigrants, solo founders, and others who don’t have the support or guidance that others might. For us, mentoring is the biggest benefit we could ask for. Happy to discuss more!

It's official - @speedrun 07 applications are open. Yes - as a scout I can write you a cheque within 24h but I wanna do better than that. I am looking for a few early stage founders to mentor. My sweet spot are folks with international background, who come from underprivileged backgrounds, and never had anything handed to them. Comment with a blurb of what you are building and I will DM you my Demo Day pitch recording. Here is a tip I gave folks in the past. Your product and vision will take you from 10-->100 but for the 0-->1 part it's about the TEAM. Read the "Dinner Party Jerk" essay by @andrewchen. That's how u should pitch yourself.

Here's YC's official advice about being truthful and precise about what is pilot, bookings, revenue and recurring revenue. Founders, particularly first time founders, need to sear this into their brains. Don't mistake one tier for another. Be precise, and always be truthful.

test post from @TakeInterestAI

We’ve refreshed Claude Code on the web and mobile. A few things that recently shipped 🧵