Joined February 2024
267 Photos and videos
For those of you who actually do review their code: Hunk is the missing piece
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A *very* interesting project tackling hallucinations with structured processes!
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Words of wisdom
I've got an agent in a loop optimizing a renderer with the goal to minimize frame times (and tests to measure). It got times down from 88ms to 2ms and allocations down from ~150K to 500. Sounds good, right? Wrong. This is exactly why agent psychosis is a big fucking problem. As an experiment, I rewrote the Ghostty core render state in Go, with access to identically laid out data structures as Ghostty and the exact same validation tests. I made a purposely naive renderer (simple, correct, but slow). 88ms per frame with 150,000 allocations (horrendous, lol)! I then kickstarted a Ralph loop to bring the frame times down. I told it it can't modify input data structures or the public API or tests (they're correct), but it can do anything else it wants. It got to work. It has worked for about 4 hours. I've spent around $350 on this experiment so far. The results? 88ms => 1.5ms 150K allocs => ~500 allocs Incredible right? Nope. My hand-written renderer I ported has frame times (same benchmark) of ~20us (0.020ms) and 0 allocations in the update path. This is the problem with psychosis and lacking systems understanding. If you don't understand the system, you're going to accept that this is an incredible result. If you understand the system, you'll see better solutions immediately and can do roughly 75x better on throughput. The people who blindly trust agent output are in the former camp. They're sheeple, overdrinking from a fountain of mediocrity. Standard disclaimer: I use AI all the time. I like AI. The point I'm making is to not blindly accept results. Think. Analyze. Learn.
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The number of project I've used produced by this machine is INSANE: vagrant vault terraform packer consul... Honestly unreal
Replying to @RhysSullivan
The $2500 MacBook Pro I bought in 2012 that I used to write every single hashicorp 0.1 release. Arguably turned that $2500 plus some internet into like a billion dollars. Good trade.
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> change them to your liking > trust no one
> do not change the standard keybindings > trust me
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At this point I think I’m the problem for not getting it. youtu.be/kHDrC92UwZE?si=d-Gj…
I'm late to the party, but cmux is great. github.com/manaflow-ai/cmux current split: codex mac app: knowledege work, learning, reading cmux codex cli: coding
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I love Zed but it feels like every single project on the internet is rebuilding Tmux
May 20
Terminal Threads are live in Zed v1.3.5! You can now run claude, amp, pi, or any terminal-based workflow as a managed thread in the Threads Sidebar, right next to your other agent threads.
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AI made attention span ever shorter. People will spend hours vibe coding a web interface into the terminal instead of 15 minutes learning 4 tmux commands
i don't hate terminals but i hate complexity of tmux/zellij har session management w/ attach/detach rituals resurrection plugins naming sessions 🤢 it's a part-time job just to not lose your layout / tabs. burned 40-50 hours trying every multi-agent manager out there, including stuff from my YC-backed friends are actively shipping. forked even some of them but nothing fully clicked to my workflow. turns out all i wanted was already sitting inside one terminal window. vs tmux/zellij: - mouse first, click anything (right click too) - zero shortcuts to memorize (native shortcuts) - custom keybinds if you want them (fully configurable) - rename tabs spaces inline (⌘ L / ⌘ K / ⌘ 1..9) - single window = a lot less RAM / CPU usage - stability and rendering are world-class - ⌘ Q anytime. state saved. re-run it later (even on ssh) and everything's exactly where you left it. no plugins, no two step shortcuts, just works out of box (i've shared my keyboard bindings if you wanna combine with ghostty) then i wired it into ghostty with a custom installer. cmd t, cmd n, chrome-style tab cycling and number-jumping, all native. drop-in cmux replacement. finally feels like macos to me. video below. my ⌘-based shortcut installer in reply ☠️
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TRUE.
linkedin is the real moltbook.
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Amazing piece of software powering so much of our lives youtu.be/6uB65PdasQI?si=mlqp… @FFmpeg
Here's my conversation all about @FFmpeg, the legendary open-source software powering most video on the Internet. In the episode, I talk with Jean-Baptiste Kempf and Kieran Kunhya. JB is lead developer of VLC and Kieran is FFmpeg contributor, codec engineer, and the person behind the now-infamous @FFmpeg account on X. VLC (@videolan), by the way, is also a legendary piece of open-source software: it's a video player that can open basically anything & has been downloaded over 6 billion times. I think both FFmpeg and VLC are two of the most important and impactful software systems ever created, both open source, and both created & maintained by volunteers: brilliant engineers from all walks of life. Thank you to everyone who contributed to FFmpeg and VLC, and in general to all engineers giving their heart & soul to building systems used by millions (or billions) of people, and often doing so not for money, status, or fame, but purely for the love of building great software and doing good for the world. Thank you to the builders! 🙏❤️ Shoutouts in this chat to @ID_AA_Carmack @karpathy @elonmusk @TimSweeneyEpic and everyone who is a contributor & fan of open source! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:17 - Introduction 5:35 - Weirdest things VLC opens 9:59 - How video playback works 19:20 - Video codecs and containers 30:07 - FFmpeg explained 51:07 - Linus Torvalds 55:46 - Turning down millions to keep VLC ad-free 1:10:04 - FFmpeg & Google drama 1:29:18 - FFmpeg developers 1:35:55 - VLC and FFmpeg 1:40:29 - History of FFmpeg 1:43:46 - Reverse engineering codecs 1:57:01 - FFmpeg testing 2:01:08 - Assembly code (handwritten) 2:25:26 - Rust programming language 2:34:42 - FFmpeg and Libav fork 2:43:04 - Open source burnout 2:50:51 - x264 and internet video 3:04:07 - Video compression basics 3:11:04 - CIA and fake VLC 3:21:39 - Ultra low latency streaming 3:39:07 - AV2 codec and video patents 3:48:59 - VLC backdoors 3:59:14 - Video archiving 4:05:51 - Future of FFmpeg and VLC
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WHAT THE F
I guess paying $200/m to @OpenAI isn't enough... :/
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I guess paying $200/m to @OpenAI isn't enough... :/
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Creators struggling with @elgato not functioning as a sound tracking prompter (and basically told me to open a ticket) - Use @PromptSmart. Not the slickest but just DOES THE JOB. Follows your voice perfectly every single time 👌
So the @elgato promoter is RIDDLED with bugs. Most annoyingly - it completely fails with voice detection. Anyone has a good alternative?
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Read my mind
at this point I think LinkedIn posts are like 99% AI. the posts even have the same format. idk why i still open that tbh
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Hey @FrameworkPuter judging by my feed it seems like you're sending every single youtuber a computer to play with. Well - I'm a mac user who never had linux as a desktop. This may be a cry for help
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AI for coding is basically heroine. Same effect, same destructive side effects. The only one winning in the long run is the dealer.
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I don't disagree. There's a strong link here and TBH while I've been all in on this, I'm starting to feel the fatigue. We all need a break
Everybody is adding a feature where you can manage your agents from your phone. Don't use it. You'll just get even more addicted, and will burn out even quicker.
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Pi’s telegram gateway is like magic. I named my home server’s agent Yuri and we text all day. youtube.com/shorts/iAQq0MndX…
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Training a real skilled worker automation agent takes a few good weeks. The most cost efficient way IMO is getting one of the PRO / MAX subscriptions from your favorite provider and max out the tokens to build and educate your creature. The agent itself should run lean.
I didn't believe the fake posts about people running "agents" (plural) in their sleep. But now that I'm actually building one to help me with business tasks... IT'S SO, MUCH, WORK. I've spent two full weeks, it's delivering already, but stability is nowhere near.
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