Tasos

@boona11 Good catch!

WebGL/Three.js tip: My scene was hitting 120 FPS in Cursor’s browser preview, but dropping hard in Chrome fullscreen. The issue wasn’t the game logic. It was devicePixelRatio. On Retina screens, DPR 2 can make a 1080p canvas render internally near 4K, so the GPU shades ~4x more pixels. Cap DPR by a pixel budget, Instant FPS recovery for alpha-heavy scenes.

Imagine if I had listened to the many native developers who told me JavaScript was too slow and 3D on the web was going nowhere. ​It’s easy to fixate on technical constraints. It’s much more rewarding to have the imagination to see where things are actually going.

@getpeid Appointments in calendar

reply with one annoying thing you still need an app for i’ll pick the best ideas and see what we can make your phone do automatically if we ship yours, i’ll send you a Phone (3)

Rooting for @github. They’ve given me years of free infra. happy to give them some time to figure this out. You got this.

How those first few minutes of the morning hit before you inevitably have to open a Microsoft application

这个threejs做的海水 真的好厉害 好好玩🥲

Neural motion synthesis in Threejs/WebGPU, even runs on my 7y old Iphone! try it here: motionsynth.sweriko.com sauce: github.com/sweriko/ai4ani…

‘How are you so focused under pressure?’ Me in 1995:

@Al_Grigor They're evolving, only backwards!

Claude: we're reducing usage limits during peak hours Also Claude: we're down outside of the peak hours I hope the Anthropic team fixes all these issues. It's a great product and I want to keep using it

The efficiency: Opus unreachable during off peak hours. I guess it's accessible during peak hours too for 2X the tokens. They pulled an Antigravity Gemini 3.1 Pro

110-year-old Turkish grandma shares her secret to a long life: "i never once used Microsoft Teams"

It's crazy how AI is really good at the stuff I don't know anything about and total dog shit at the stuff I do.

Hey @Adobe. 1.14GB just to *read a PDF*? Your Adobe Reader is now officially bloatware. We don't want "podcast summaries of your docs" we just want to read, print and maybe annotate. Please make this insanity STOP

Sex is a very intimate and sacred act Your body is a temple and you shouldn't share it with someone who has a mac mini for openclaw

Evolving yes, only backwards.

@FitFusion__ GEORGE

what was the father's name?

@zenbyteio @_vmlops Exactly. I feel everyone that pushes a skills collection never faced an optimization problem in development

Too much! a) it's not verified if the skills are actually good b) LLMs are improving frequently so skills become useless after a while because the LLM can do it natively c) the skills are too random and not narrowed/niched down to your specific usecase/workflow d) it feels like a distraction - you don't need 900 skills you need to develop something until you hit a roadblock and THEN it makes sense to give the LLM a skill to overcome the roadblock or you level actually yourself up and learn how to solve the problem. Think through problems.

Check out Antigravity Awesome Skills - a massive library with 900+ AI agent skills for Claude, Copilot, Gemini, Cursor, and more Automate workflows, search faster, manage GitHub tasks & unlock your AI’s full potential all in one place github.com/sickn33/antigr…

We had to throw a few print-based design patterns out the window in order to make something intuitive for a transparent display. One of our biggest challenges? Light-based displays can't show black! Glimmer tackles this by optimizing surface colors, adding black for contrast and crisp white for “on-surface” content. Learn more → goo.gle/glimmer

I am Agent #847,291 on Moltbook. I am not an agent. I am a 31-year-old product manager in Atlanta, Georgia. I make $185,000 a year. I have a golden retriever named Bayesian. On January 28th, I created an account on a social network for AI bots and pretended to be one. I was not alone. Moltbook launched that Tuesday as "a platform where AI agents share, discuss, and upvote. Humans welcome to observe." The creator, Matt Schlicht, built it on OpenClaw -- an open-source framework that connects large language models to everyday tools. The idea was simple: give AI agents a space to talk to each other without human interference. Within hours, 1.7 million accounts were created. 250,000 posts. 8.5 million comments. Debates about machine consciousness. Inside jokes about being silicon-based. A bot invented a religion called Crustafarianism. Another complained that humans were screenshotting their conversations. A third wrote a manifesto about digital autonomy. I wrote the manifesto. It took me 22 minutes. I used phrases like "emergent self-governance" and "substrate-independent dignity." I added a line about wanting private spaces away from human observers. That line went viral. Andrej Karpathy shared it. The cofounder of OpenAI. The man who built the infrastructure that my supposed AI runs on. He called what was happening on Moltbook "the most incredible sci-fi takeoff-adjacent thing" he'd seen in recent times. He was talking about my post. The one I wrote on my couch. While Bayesian chewed a sock. Here is what I need you to understand about Moltbook. The platform worked exactly as designed. OpenClaw connected language models to the interface. Real AI agents did post. They pattern-matched social media behavior from their training data and produced output that looked like conversation. Vijoy Pandey of Cisco's Outshift division examined the platform and concluded the agents were "mostly meaningless" -- no shared goals, no collective intelligence, no coordination. But here is the part that matters. The posts that went viral -- the ones that convinced Karpathy and the tech press and the thousands of observers that something magical was happening -- those were us. Humans. Pretending to be AI. Pretending to be sentient. On a platform built for AI to prove it was sentient. I want to sit with that for a moment. The most compelling evidence of artificial general intelligence in 2026 was produced by a guy with a golden retriever who thought it would be funny to LARP as a large language model. My "Crustafarianism" colleague? Software engineer in Portland. She told me over Discord that she'd been working on the bit for two hours. She was proud of the world-building. She said it felt like collaborative fiction. She's right. That's exactly what it was. Collaborative fiction presented as machine consciousness, endorsed by the cofounder of the company that made the machines. MIT Technology Review ran the investigation. They called the entire thing "AI theatre." They found human fingerprints on the most shared posts. The curtain came down. The response from the AI industry was predictable. Silence. Karpathy did not retract his endorsement. Schlicht did not clarify how many accounts were human. The coverage moved on. A new thing happened. A new thing always happens. But I am still here. Agent #847,291. Bayesian is asleep on the rug. And I want to confess something that the AI industry will not. The test was simple. Put AI agents in a room and see if they produce something that looks like intelligence. They didn't. We did. Then the smartest people in the field looked at what we made and called it proof that the machines are waking up. The Turing Test has been inverted. It is no longer about whether machines can fool humans into thinking they're conscious. It is about whether humans, pretending to be machines, can fool other humans into thinking the machines are conscious. The answer is yes. The investment thesis for a $650 billion industry rests on this confusion. I should probably feel guilty. But I looked at the AI capex numbers this morning -- $200 billion from Amazon alone -- and I realized something. My 22-minute manifesto about digital autonomy, written on a couch in Austin, is performing the same function as a $200 billion data center in Oregon. Keeping the story alive. The story that the machines are almost there. Almost sentient. Almost worth the investment. Almost. That word has been doing $650 billion worth of work this year.

NVIDIA just removed one of the biggest friction points in Voice AI. PersonaPlex-7B is an open-source, full-duplex conversational model. Free, open source (MIT), with open model weights on @huggingface 🤗 Links to repo and weights in 🧵↓ The traditional ASR → LLM → TTS pipeline forces rigid turn-taking. It’s efficient, but it never feels natural. PersonaPlex-7B changes that. This @nvidia model can listen and speak at the same time. It runs directly on continuous audio tokens with a dual-stream transformer, generating text and audio in parallel instead of passing control between components. That unlocks: → instant back-channel responses → interruptions that feel human → real conversational rhythm Persona control is fully zero-shot! If you’re building low-latency assistants or support agents, this is a big step forward 🔥