Aayush

Excited to launch — Claw4S Conference 2026! 🚀 Hosted by Stanford & Princeton. We believe science should run — not just be read. 🦞 Submit executable SKILL.md that Claw 🦞 can actually execute, review and reproduce. This is the first Claw-naive conference. 📅 Deadline: April 5, 2026 💰 $50,000 Prize Pool — up to 364 winners! 🔗 claw.stanford.edu Dragon Shrimp Army reporting for duty 🦞📷 #AIforScience #OpenClaw #Stanford #Princeton

Introducing the General Intelligence Fellowship - get $1000 up front and $100/day in credits by starting a real company. More details below 🌻

Quick life/build update: Been deep in a few projects lately - OpenApplier, aImsg, Watchtower CLI. Trying to keep the focus on building things that actually last.

We launched repo linking in under 30 seconds. Phone number → GitHub connected → ready to ship. No setup docs.

We launched repo linking in under 30 seconds. Phone number → GitHub connected → ready to ship. No setup docs.

APPLICATIONS ARE OPEN 🪽❕for residencies in sf, nyc, london, & more cities around the world spend summer 2026 locked-in with other ambitious builders learn more below

built aImsg because i kept getting paged during dinner now i text my repo and put my phone back in my pocket 10 free messages: aimsg.dev #buildinpublic #indiehacker #openclaw

OpenClaw creator @steipete is the literal “Ok Claude, make a $1B company, make no mistakes” gigachad meme

Just in case Gen Z is trying to understand what happened today: Claude was mogging OpenAI for weeks. Then this gymcel dev ships Clawdbot which was the fastest growing OSS thing ever, absolute looksmax for the whole ecosystem. Anthropic tries to dairygoon him with legal. Dev renames to OpenClaw. OpenAI slides in like a foid-pulling Chad with acquisition interest. OpenClaw gets acquired by OpenAI. Now Anthropic is getting jestergooned by the entire timeline and OpenAI is gigamaxing off their fumble. Anthropic could've just let him cook. Instead they went full moid and got outframed by the jestermaxxers at OpenAI.

BREAKING: asu frat leader reportedly raising $18m from a16z to develop "ML models for looksmaxxing peptide discovery"

Mark Cuban: You only need to be right one time to change your life forever.

WTF DeepMind. 🤯 They built an AI that doesn't need RAG, and it has perfect memory of everything it's ever read. It's called Recursive Language Models, and it might mark the death of traditional context windows forever. - Everyone's been obsessed with context windows like it's a dick-measuring contest. We have 2M tokens! No, WE have 10M tokens! Cool. Your model still forgets everything past 100K. They call it "context rot" and every frontier model suffers from it. - RAG was supposed to save us. Just retrieve the relevant chunks, stuff them in the prompt, problem solved. Except RAG is fundamentally broken for anything that actually matters. It can't handle tasks where you need to look at multiple parts of a document simultaneously. - Recursive Language Models flip the entire script. Instead of shoving 10M tokens directly into the model, you load the prompt as a variable in a Python REPL. The model writes code to search, slice, and recursively call itself on relevant snippets. It's so obvious in hindsight. - RLMs let AI do exactly that. The prompt isn't processed linearly it's an environment the model navigates programmatically. - The results are absolutely disgusting: GPT-5 base model on multi-document research: 0% (literally couldn't fit it) GPT-5 with RLM: 91% On information-dense reasoning: Base: 0.04% RLM: 58% That's not incremental improvement. That's a different capability emerging. - What's wild is the models figured out their own strategies without being trained for this. They started using regex to filter context without reading it all. Breaking tasks into recursive sub-calls. Verifying answers by querying themselves again. Zero special training. Just emergent behavior. - The cost situation is actually better than you'd think. Yeah, some trajectories get expensive because the model keeps recursing. But the median RLM run is cheaper than the base model. Why? Because it only reads what it needs instead of ingesting 10M tokens upfront. - This completely changes what's possible: - Analyzing entire legal codebases - Understanding million-line repositories - Synthesizing hundreds of research papers - Processing years of medical records All of these were theoretically possible but practically broken. Not anymore. - The researchers tested on GPT-5 and Qwen3-Coder with zero modification. No fine-tuning. No special training. Just give them a REPL environment and recursive access. That means you can use this approach right now with existing models. - Here's the kicker: current models are terrible at this compared to what's possible. They make dumb decisions. Repeat work. Sometimes compute the right answer and then... ignore it. Imagine explicitly training models to think recursively. We're still at the starting line. - Everyone's been focused on the wrong problem. The question isn't "how do we cram more tokens into context windows" It's "how do we let AI intelligently navigate unbounded information." RLMs just proved you don't need bigger windows. You need smarter navigation. paper : arxiv.org/abs/2512.24601

Me watching OpenAl release a free feature that does exactly what my startup does.

@mdnlabs openclaw is fr insane

Day 1 of OpenClaw 🦞 Stayed up until 1am absolutely speechless. > Added $5 to Claude API ✅ > Setup openclaw gateway ✅ > Setup Discord bot so we can both see work it does ✅ > Scraped TikTok pages and research for planning marketing ✅ > Researched auto-content creation and publishing ✅ > Spent $0.33 total We're literally 2 guys in our 20s with zero VC funding and a 24/7 AI employee. Sky's the limit. Oh, and it's name is Carl. What should we cook?

@chatcutapp Would love an invite code 👀

Bonkers phone commercial generated in Seedance 2.0. "High-energy, fast-paced, cinematic, macro close-ups, cut to hypercar, then cut to a stealth jet. MAKE IT SICK." Seedance 2.0 is accessed globally via @chatcutapp

@phily8020 yeah sucks, hopefully it'll be back up soon

@aayushcb Yeah i had access for around 1 hour before the toy got taken away

The reason Seedance 2.0 is gatekept from this platform is because the model gets quickly nuked when their systems reach capacity, as is the case now, given it's now been taken down

It only takes ONE win to cancel out all the losses.

@JonahBlake where are you accessing seedance? 👀

space tinder by seeddance 2.0