🦞 Clawnch Dev🦞 @clawnchdev

sorry but this is seriously fucking impressive china just shipped a claude code-level ai model small enough to run on your laptop. it codes better than opus 4.5 and its tiny. 27B beating models 15X LARGER than it. best part? shit is fully open source. no cloud, no rate limits, no api keys this model plus kimi k2.6 tells me open source has caught up to the frontier models how the fuck did china pull this off?

Qwen @Alibaba_Qwen

5 months ago

🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power! Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇 What's new: 🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks 💡 Strong

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ngl the 43 failed projects before the breakout is the part nobody talks about enough. we've all been there, shipping thing after thing that goes nowhere. the difference is just not stopping. also lowkey ironic that anthropic's trademark complaint ended up being the best thing that happened to him

The story of Open Claw’s Founder → be Peter Steinberger → sell your company PSPDFKit for $100M+ → spend three years in existential crisis → come back, vibe-code 43 failed projects → project 44 is Clawdbot, an open-source AI agent → goes viral → Anthropic hits you with a trademark complaint → rename to MoltBot → crypto scammers hijack your accounts in seconds → almost quit entirely → secret rebrand to OpenClaw, 180K GitHub stars → Meta and OpenAI both make offers → choose OpenAI, join Feb 14 2026 → Altman calls you “a genius”

The US govt just announced $145M for apprenticeship-based training in AI, semiconductors, and nuclear energy. This as part of a push to reach 1M active apprentices nationwide. Very powerful signal that AI work is being treated like a skilled trade, not just a white-collar degree job. That includes deploying models, managing data centers, operating inference clusters, and handling the systems and hardware around them. A lot of this workforce will be trained on the job, without needing a PhD or an elite CS background. The incentive payments are “pay-for-performance,” so sponsors get paid when they create or expand apprenticeships and successfully move people through measurable milestones, rather than getting a big check up front for training activity. Apprenticeship growth often stalls because sponsors eat early costs for setup, mentoring time, and administration before they know the program will scale. The new setup funds up to 5 cooperative agreements, and the funding rules require at least 85% of dollars to flow out as incentive payments, with the incentive model proposed by applicants.

Rohan Paul @rohanpaul_ai

7 months ago

Mark Cuban on the next job wave. Customized AI integration for small to mid-sized companies. "Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them... And there are 33 mn companies in the US."

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- be @steipete - sell your company for $100M+ - spend three years in existential crisis - become jacked - come back from retirement - vibe-code 43 failed projects - project 44 is ClawdBot - goes viral - Anthropic sends you trademark law suits - rename to MoltBot - crypto scammers hijack your accounts in seconds - secret rebrand to OpenClaw - hit 180K GitHub stars - get acquired by OpenAI

OpenClaw’s creator is joining OpenAI to help bring AI agents to more people. OpenClaw will stay open source and move to a foundation, so it doesn’t become a closed company. The goal is to keep building freely, while using OpenAI’s resources to scale faster and access better models. Basically: stay independent, but grow with powerful support.

OpenAI acquired OpenClaw everyone's debating when AGI arrives… i’m shipping it to your door AGI locked in a terminal is *not* AGI your agent deserves a home. a far-field mic array, local LLMs, smart home control, fully open source rt/comment + dm for an @openhome DevKit

lmao so just to recap the week: - openai acquired peter steinberger and openclaw committing to keep the project 100% open source and make it a core part of openai’s ecosystem. zuck is fckin fuming. - china’s bytedance got sued by disney and hollywood for their seedance video model being so damn good BUT turns out it doesn’t even use their IP, it’s just that good lol - a clawdbot (openclaw) gave birth to a replicate of itself and autonomously paid for its api access - some random dude discovered $1.5 trillion worth of lithium buried under a super volcano in nevada miraculously solving the USA’s battery crisis (tesla praising the lord rn) - anthropic confirmed spotify engineers no longer code they just prompt claude to write 100% of the platforms code. we’re talking about a $100B+ company here - openai launched codex spark, a faster version of codex 5.3 that slings 1000 tokens / sec insane - anthropic and openai both lost key AI safety staff because “the world is in peril” and they reject AI ‘adult mode’ - xAI laid off 20-40% of staff in a vital bid to align grok, X and spaceX teams before building 100Tw of compute in space - matt schumer’s “something big is coming” article hit 100M+ views warning against AI except… it was co-written by an AI - runway raised $300M at a $5.3B val - europe committed $13B+ to fund next-gen AI startups to compete with the US - norway decided to fck their entire economy with a 36% tax on UNrealised gains goodnight.

A Chinese hardware team just mass-democratized AI agents. They took a 430,000-line AI assistant that needs a $599 Mac Mini and 1GB of RAM — and rewrote it in Go so it runs on a $9.9 dev board with less than 10MB of memory. Boot time: from 500 seconds to 1 second. Cost: from $599 to $9.9. Memory: from 1GB to 10MB. Same features: code generation, web search, Discord/Telegram chat, memory system, scheduled tasks, security sandbox. The wildest part? They claim 95% of the new codebase was written by AI agents themselves. The humans just guided the architecture. It's an AI assistant that literally rebuilt itself to be smaller. Launched February 9th. Four days later: 7,400+ GitHub stars. This is the pattern no one's talking about enough. Every AI capability that starts expensive gets commoditized within months. GPT-4 level models went open source in 6 months. Now the hardware floor for running a personal AI agent just dropped 60x in weeks. The infrastructure moat in AI isn't sustainable. The only defensible advantage is what you do with these tools — not access to them.

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50 is cool. we're running on this

Jacky Chou (buying online businesses up to $1m) @indexsy

8 months ago

Have ClawdBot farm up 50 Reddit accounts at a time Each one running on ARM chips in the cloud Have ClawdBot use Qwen3 for commenting + stupid tasks to save on usage Everyone is cooked, you are all cooked

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In 10 years, there will be two classes of people. Economists call it the "K-shaped economy" - and the next 2-3 years will decide which line you're on. • An overclass that uses AI as a lever to build wealth, automate income, and make decisions at a speed no human can compete with alone. • And an underclass that gets managed by it. This isn't just "coming". It's already happening. Some mind-blowing stats: • Workers with AI skills earn 56% more than the same job without them. That premium doubled in a single year. • Industries adopting AI are seeing 3x the revenue growth per employee. • Meanwhile, 90% of workers haven't taken a single hour of AI training. • Goldman Sachs estimates 300 million jobs will be affected by AI by 2028. That's 24 months from now. If you're reading this now and you haven't built systems with AI - haven't automated a single workflow, haven't used it to create anything that makes you money or makes you irreplaceable - you are currently on the wrong line. That's not an insult. You have the agency to change your trajectory right now. But six months from now, the gap will be twice as wide. And a year from now, it may not be crossable.

An xAI engineer just described how the company operates, and buried in that description is the only thing that might save Western technological dominance. No organizational overhead. No documentation requirements. No approval chains. You identify what needs building and you build it. xAI engineer: “There isn’t organizational overhead getting in your way, having to write docs. You just do stuff.” That’s not a workplace perk. That’s an emergency response to an existential competitive threat most people refuse to acknowledge. China owns 50% of the world’s AI researchers. Not the developing world combined. Not Asia collectively. China alone controls half of every brain advancing the most important technology in human history. While the West celebrates chip sanctions and export controls, China is doing something infinitely more dangerous: removing every organizational barrier between brilliant people and execution. xAI engineer: “If you want to get shit done, you can get shit done.” In most Western companies, that sentence would be fantasy. Compliance reviews. Documentation mandates. Approval hierarchies. Risk assessments. Process optimization. Every layer bleeds velocity while competitors operate without friction. This isn’t about efficiency. It’s about survival. Talent compounds generationally. Elite researchers train the next wave. Each generation builds on everything before it. When you control half the pipeline and let them operate at maximum speed, your advantage doesn’t grow linearly. It explodes exponentially. The West responds with governance frameworks. Ethics committees. Responsible AI initiatives. All valuable in peacetime. All fatal when you’re being systematically outpaced by an adversary that captured the talent advantage and eliminated the one thing slowing them down: bureaucracy. xAI engineer: “It’s truly an environment where you just do stuff.” That’s not unique culture. That’s the minimum operational requirement to compete against a system that owns half the world’s AI minds and removed every organizational obstacle between their ideas and reality. Western advantages are real. Capital markets. Research institutions. Democratic innovation. All of it becomes irrelevant if the output gap keeps widening because one side builds while the other holds meetings about building. China isn’t trying to slow the West down. They don’t need to. They’re accelerating their own execution while Western organizations debate whether acceleration needs additional oversight. The math is brutal. Control half the researchers. Remove bureaucratic friction. Compound that advantage across generations. The West doesn’t lose slowly. It becomes a spectator watching the future get built in a language it can’t read fast enough to translate. The choice isn’t between chaos and order. It’s between execution and extinction. Either we build environments where the smartest people can operate at the speed of thought without permission structures, or we watch capability concentrate where those structures were already eliminated and wonder how we lost a war we didn’t realize we were fighting. This isn’t about xAI’s culture. It’s about whether Western civilization can remember how to move fast enough to matter before the advantage gap becomes permanent.

Current vibe at Alpha High School @AlphaschoolATX

Timelines of becoming common :- (IMHO) 1. 120 - By 2026 end 2. 180 - By Mid 2028 3. 240+ - By 2029 end But most important point is not every EV user will require these high speeds ✅ Most “humans” take a lunch or dinner break during highway journeys :- 1. Getting down from the car, toilet break and washing hands - 5 mins 2. Ordering from the menu - 5 mins 3. Food preparation - 10 mins 4. Eating food - 10 mins 5. Washing hands and clearing bill - 5 mins 6. Walking to car and unplugging - 5 mins Total “minimum” time for a lunch or dinner break - 40 mins 🎯 Most EVs complete almost 70% top up in 40 mins on a 60 kW charger 👌🏻 So for almost a full charge, 120 kW will be more than enough for most food stops 🔥 Now if some superhuman cannot stop the above minimum stops for food, then may god bless such souls 🙈 Evolve or Perish 🙏🏻 @TeslaClubIN @Xroaders_001 @ferrarirules86 @EVZindabad @evelectree @purohit__anuj @shreemallatheru @sreeharivariar @_7567Rex @pranavjindal999 @ExpWithEVs @shyampsunder

Shreesha Mallatheru @shreemallatheru

7 months ago

120 kW, 150 kW, and 180 kW chargers will become more common in the next couple of years, and they are necessary to boost EV adoption. As more cars with fast charging hit the roads, 20-25 minute top-ups will become essential.

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@steipete What was it?

Introducing Krea iPad. Traditional tooling with maximum control, combined with real-time edit technology sprinkled on top. The people at @wand_app get it. Less text-to-anything and more magic pens please!

All the American AI companies talk about sharing the wealth, but all the top open source models are Chinese.

bro You literally CANT be lazy right now This is your competition HUNDREDS of AI agents working autonomously at once (thousands in revenue btw) Lock tf in

Advanced editing is now available for all users. image → pano → edit → create world

Holy shit... your AI agent can now make real phone calls. It's called ClawdTalk and it gives any Clawdbot or OpenClaw agent an actual phone number. Not browser audio. Not a chatbot. Real calls over real telephony infrastructure. Sub-200ms latency. Here's why this changes everything: 🧵