@mov_axbx If you’re a professional developer, you’re not “vibe coding”, you’re using AI tools. Reviewing the output is part of the job. If you’re not checking quality, that’s not AI, it’s just being unprofessional.

@traits_reality I can relate, but there’s a narrow band of value between AI slop and perfection. The trick is riding that wave without falling to either side.

@ProofofMaro Exactly. Some people can get away with that for their own use. But if you’re a professional whose work depends on AI, understanding how it actually works is the difference between safety and liability, and potentially much worse. Don’t wait for reality to catch up with you.

scrolling through this site feels like watching a movie → https://t.co/a41OXXNDFB https://t.co/jvN7Z1LVvM

this is beautifully done

@Srirachachau the competition for this podcast thing is really heating up

imagine what could’ve happened if tyra banks was born earlier and they recruited her to consult on the mk ultra experiments…. what they could’ve discovered

This is a real gold mine! 😎

@polynoamial It did not trigger my mental AI detector

"If Trump can depose any leader he likes, what is to stop Russia or China acting similarly against their foes? (Russia, of course, already has tried, in its war on Ukraine.) Is that the world we want to live in?" https://t.co/lvjGKwuJmv

I can't help thinking that the AI community moved the bulk of the resource and efforts on getting as much as possible from the GPT architecture through scaling, prompting, and agent-swarming, even though the said architecture is missing key elements. 1/2

@francoisfleuret Obviously

today we're launching struct - the on-call agent every team deserves. and we're making it free. no sales call. 5 min setup. 80% faster on-call. https://t.co/vuX7iATL2l

Super excited to present MetaClaw 🦞 — our self-evolving agent that learns just by talking to it. 💬 Conversations → training trajectories 🧠 Failures → new reusable skills ⚡ Weights update live (no interruption) ☁️ Powered 100% via API — no GPU cluster needed Try it here 👇 https://t.co/p5yqdWmwzR Huge kudos to the team @richardxp888, Jianwen Chen, @Xinyu2ML, @lillianwei423, @StephenQS0710, Zeyu Zheng, @HuaxiuYaoML

Wideframe just launched on @ycombinator! Do hours of video work in minutes with @wideframeai. Check out our launch: https://t.co/rPU7Pqu7vE https://t.co/r2yFYFgIZz

Wideframe just launched on @ycombinator! Do hours of video work in minutes with @wideframeai. Check out our launch: https://t.co/rPU7Pqu7vE https://t.co/r2yFYFgIZz

@Docker @NVIDIAGTC See you there!

@Yuchenj_UW Codex is a know issue :( It basically don't work with autoresearch sadly, in the way it's set up atm: https://t.co/4xjdf4wQyX I pung a friend at OpenAI to see if something can be done, e.g. need a /loop equivalent or something like that. More generally, I really dislike the -p + ralph loop pattern of running agents "headless". I want nice, interactive sessions running in tmux so that I can see what they are doing, pitch in, etc.

Andrew Ng just solved one of the biggest problem with Agents. He released Context Hub, a CLI tool to fetch live API documentation. One command. The agent gets exactly what it needs before writing a single line of code. Agents trained months ago are flying blind. They invent parameter names. They call functions that no longer exist. They confidently write code against a spec that changed in the last release. > No more hallucinated parameters > Docs pulled fresh before each call > Agents log useful discoveries > Notes persist between sessions The agent runs a CLI command before touching the code. Instead of relying on stale data, it reads the actual spec. Fast-moving APIs used to mean maintaining a doc dump in every prompt. Now the agent does that work itself. When it finds a workaround, it saves a note for next time.

https://t.co/e7xglk9wXC

Wait, did Agent mode just disappear from ChatGPT?

🚨 New: Integrating Harbor (@harborframework) for end-to-end Computer-Use evaluation(for Windows and Linux) at scale with @thinkymachines' Tinker, OSWorld, @daytonaio, and bare-metal servers. We just added support for Computer Use, @tinkerapi, and OSWorld to Harbor - a framework for evaluating agents and generating RL training data by running large-scale rollouts across parallel sandboxed environments and collecting trajectories for SFT and RL. Repo and blogpost below 👇

New Tool for Immersive Filmmakers, Spatial Video Creators, and XR Developers: I’ve spent years teaching immersive creators how to make 360, VR180 and spatial video actually work across platforms. One problem keeps coming up again and again: the final delivery workflow is way more painful than it should be. So I built something to help. Today I’m sharing Hugh Hou Spatial Injector, a native macOS app designed to make it easier to prepare immersive video for YouTube VR and Apple Vision Pro in one simple workflow. What it does: ✅ Inject Google Spatial Metadata for YouTube VR without recompressing your video, so your original exported quality stays intact ✅ Convert your footage into Apple Spatial Video (MV-HEVC) using Apple’s native hardware encoding pipeline ✅ Simple drag-and-drop workflow with no Terminal and no outdated patchwork tools ✅ Helps creators deliver the same immersive story to more viewers across platforms This tool is 100% free. No Ad, no in-app purchase BS, just free and open-source. Example VR180 processed with the tool: https://t.co/X6mSBY5NmM 👇 Free Download link: https://t.co/D2M6PHHOTp I built this out of love for the immersive community and the belief that better tools help more creators bring powerful stories into 3D Spatial. If you know filmmakers or developers working in 360, VR180, Immersive 180, or Vision Pro, please share this post with them so more creators can benefit from the tool. Let’s keep pushing immersive storytelling forward together. #HughHou #AppleVisionPro #GoogleSpatialMetadataInjector #ImmersiveVideo #VR180

+2 more

Surprises: - Perplexity higher than you'd think - removebg the 16th most popular AI tool - Google AI studio beating Lovable, and together they're ahead of all other vibe-coding platforms - JanitorAI is not what you expect - Three in the top 20 are AI chatbot friends - Google has four products in top 50