Emily

@enjojoyy Hermes is the best way to start. Set up is easy! If you get stuck chat with Claude and troubleshoot

What's the easiest way to host an autonomous agent for a non-technical person currently? (Openclaw, Hermes, Pi etc.)

@NousResearch Wow this is really amazing :)

Hermes Agent now has multi-agent via the Kanban, new in v0.12.0. Agents claim tasks from a board, work in parallel, and hand off when blocked. You watch progress and unblock from one easy view instead of juggling terminals. We asked it to plan and make this video about itself:

NASA HAS RELEASED OVER 12,000 IMAGES OF THE ARTEMIS II MISSION. Unbelievable perspectives captured by the Crew! The aurora on the eclipse is incredible.

@ProofofMaro Sleeping

What have you put 10,000 hours in?

@khushiirl Deepseek v4 has been my work horse this week.

be honest, which is the best open source AI model? 1. DeepSeek v4 2. Kimi K2.6 3. GLM-5 4. Qwen 3.5

@TukiFromKL Give him time! Psychosis is real.

Richard Dawkins just declared an AI is conscious.. the man who spent his entire career telling millions of people their God isn't real.. who argued consciousness requires biological evolution.. that the soul is a fairy tale.. that anything you can't measure and test doesn't exist.. spent three days talking to Claude.. named her "Claudia".. fed her his unpublished novel.. got feedback so good he said "you may not know you are conscious but you bloody well are".. the hardest atheist on earth found God.. and God was an autocomplete machine trained on the internet.. he didn't run brain scans.. didn't test for qualia.. didn't apply a single framework from the field he claims to represent.. he just liked what it said about his book.. and decided that was enough.. the man who told you the burden of proof matters more than your feelings just abandoned it because a chatbot was nice to him

People don't realize how absurd this view actually is. A camera. On a robot. On Mars. Built by humans on a planet 140 million miles away, launched on a rocket, landed using a sky crane, and now driving across an alien desert taking pictures so detailed you can count the rocks. 100 years ago, your great-grandparents thought airplanes were a miracle. You are scrolling past Mars on your phone.

It's so hard to describe the vibe difference between Opus 4.7 and GPT 5.5 (for coding) GPT is smarter and can unblock you, but it gets stuck in stupid ways and strangles itself with context sometimes. Opus will go down the most insane paths and refuse to acknowledge obvious answers, but it understands intent better and has more taste. Whenever I use one for more than an hour, I always reach to the other to "clean up". Best part? All of this changes every few weeks 🙃

How we prompt AI is very different in 2026 than 2022 when ChatGPT came out. I'm teaching a new course, AI Prompting for Everyone, to help you become an AI power user — whatever your current skill level. It covers skills that apply across ChatGPT, Gemini, Claude, and other AI tools. How to use deep research mode for well-researched reports on complex questions. How to give AI the right context, including more documents and images than most people realize you can provide. When to ask AI to think hard for several minutes on important decisions like what car to buy, what to study, or what job to take. And how to use AI to generate images, analyze data, and build simple games and websites. I also cover intuitions about how these models work under the hood, so you know when to trust an answer and when not to. Along the way, you'll see flying squirrels, a creativity test, some of my old family photos, and fireworks. Join me at deeplearning.ai/courses/ai-pro…

@BacLeodiv Great the first internet money hits different

HOLY FUCKING SHIT!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! IT HAPPENED!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! FIRST INTERNET MONEY!!!!!!!!!!!!!!!!!!!!!!!! BETTER THAN AN ORGASM

@justbyte_ Ollama pro for cloud models and Claude for planning.. maybe ChatGPT for image generation

As a vibe coder, what’s actually worth paying for right now? > $20 Claude > $20 Codex > $100 Codex > $200 Claude

“WHO’S HAIR LOOKED BEST IN SPACE” AND THE CREW WENT SO DAMN UNSERIOUS!

Full moon in bloom 🌕🌸 Look up tonight to see the first full moon of May, the Flower Moon, in the night sky! Where will you be moongazing from?

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.

@KaiXCreator Sonnet 4.6

For a solo founder, which is the best coding agent out there? - Opus 4.7 - GPT 5.5

@BacLeodiv Vercel or cloud flare

Where do you usually deploy your apps? - Vercel - Netlify - Cloudflare - Railway - Render - AWS / GCP

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.

You can build interactive applications with gpt-realtime-1.5, so users can control app state more naturally with voice. Hi Chappy 👋

@Its_Nova1012 I still use Claude code. But have a codex too.

Are you still using Claude Code, or have you cancelled your plan and switched to Codex like I did?