hang

We just launched Viggle Survivor. Upload any character. Stack upgrades. Fight endless waves. Survive. It’s also our first glimpse of Pinoc: fully Gaussian splat-based, with all assets generated by Viggle models. AI-generated characters + motion + 3D worlds → playable games. We want to make high-quality 3D game creation accessible to everyone. Try it out!

@ViggleAI it's fun!

New game alert: 🎮 VIGGLE SURVIVOR IS LIVE 🎮 Upload your character → stack upgrades → fight endless waves → survive as long as possible. any character. any build. one mission: survive. Try now: viggle.ai/games/app/

AI will gradually change the definition of value, from usefulness to interestingness.

Introducing the Viggle API. Give any character any motion, one API call - alive in seconds. Wire it into Claude, Codex, or any agent you're building. Starting from $0.01/sec. Get 100 free credits on signup. RT + follow + comment, 10 winners get 100 more! Learn more below👇

What's the secret sauce in Codex CLI harness that apparently Anthropic couldn't figure out?

@Ric_RTP AI needs to get 10x cheaper

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

CS grad school is increasingly misaligned with frontier AI work. We train students to chase top-conference "novelty", while undervaluing what often determines foundation model quality: data, infrastructure, iteration, and scaling efficiency. Real novelty should include honest, rigorous accounts of how better data and better infrastructure lead to better models. A paper should not need to disguise that as a fancy new method. This is why many CS PhDs struggle when they first join real foundation model training: too much of their academic training was about packaging work to look publishable, not making models better.

Today, we launch Viggle V4 + Character Refine. - Strong character consistency with precise motion control - Upload 1 image → auto-generate multi-angle references - 1:1 motion transfer from reference videos - Multi-character swap in complex scenes - Generate in SECONDS at lower cost - Up to 60s videos Powered by our proprietary 3D foundation model, built for speed, reliability, and full creative control. Try it for free! 👇

One demo is worth a thousand words.

The only thing standing between us and the stone age is Cloudflare.

Hi, my name is Hang, and I'm an LLM addict.

reading this just triggered my grad school PTSD. as a student, your life and fate depend on this. like you said, sir, promotions, jobs, grants, visas, they’re all important. those “few bits of information”? i’ve seen far too many careers ruined because they didn’t arrive in time, and far too much dignity sacrificed just to get them. are you showing off your academic power, or genuinely trying to fix a broken system? i hope it’s the latter. with all due respect, i don’t think you get to say this. not in this way, at least. i just hope to remind you: if i were your student reading this, i’d be really worried.

When will academia stop wasting each other’s time asking for recommendation letters for promotions, job applications, grant applications, VISA applications? The list is endless. There must be better ways to reveal those few bits of information we want to share about candidates.

@xwang_lk OnlyVibes, VibeHub

Vibe coding, Vibe writing, Vibe citing, Vibe anything… it is becoming more and more negative?

@wellingmax transcripts

LLM is the ultimate form of the internet. If you think LLM leads to AGI, then AGI = Artificial General Internet

devibe: the process of making a vibe-coded prototype cleaner. example: my vibe-coded demo wowed users but the code is spaghetti. I will devibe it.

Feature request: curse at Cursor. Always-on mic mood detector, instant correction. @cursor_ai

A great reflection on AI today: it handles the trouble of producing something. But brilliance still requires human effort.

I've wanted to say this for a while, but it's perhaps still not too late. The best talents aren't the ones money alone can buy. They're today's stars when they were 10 years younger. Fresh out of school, unproven, and hungry to make their mark. The biggest cost of acquiring the best talent isn't money. It's the ability to recognize them. Paying 100x more won't solve the problem. That's just laziness. The "golden team" is always the big bad dragon to be slayed by the true heroes. It never worked in Hollywood. It never worked in sports. And it won't work in winning the AI race. C'mon dude, wake the fuck up. wired.com/story/research…