O P P A (オッパ)

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O P P A (オッパ)

O P P A (オッパ)

@DAB_OPPA

deadass boujee

Beigetreten Temmuz 2020
308 Folgt33 Follower
Peter Yang
Peter Yang@petergyang·
Screw the haters, I am long @figma
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@melissa
@melissa@melissa·
some phone numbers aren't real. i can't explain it. you can tell when you say it out loud to set a voicemail message. i picked a new number by reading them all out til one felt real. but you can't leave me a message. i never set up voicemail. i've actually never had voicemail
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PART 7 CONFIRMED ᯓ★
PART 7 CONFIRMED ᯓ★@PART7Confirmed·
JoJo release schedule predictions? Given how much marketing we’ve been getting for 7, you’d think it’s gotta be weekly right? If the leaks/rumors are true that it might be batches, I really hope we get weekly man… But I can also see batches happening for sure most likely.
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Ejaaz
Ejaaz@cryptopunk7213·
im genuinely pumped for the XAI comeback. they’re throwing 500,000-1M blackwells at these models and hiring aggressively, what do you think happens? its clear coding is the frontier. if your model can't code forget it. grok build uses 8 agents in parallel to write your codebase. they just hired cursors top people to design this. i know elon lost round 1 but im still betting they leapfrog competitors by end of 2026
Elon Musk@elonmusk

By this weekend, xAI will have three Grok Build models in training simultaneously

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Indie Game Joe
Indie Game Joe@IndieGameJoe·
This indie dev is making a game where you can literally play as Ancient Egyptian wall art. - Switch between a 3D archaeologist and living 2D art - Survive puzzles that fight back - Progress by mastering both worlds It’s called Fresco. This mechanic is genius.
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dax
dax@thdxr·
airlines should be like fortnite where you can jump out wherever you want over the city
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Marc Andreessen 🇺🇸
It is 100% true that great men and women of the past were not sitting around moaning about their feelings. I regret nothing.
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David K 🎹
David K 🎹@DavidKPiano·
Ok, let's put this to rest. Which one is the better company?
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BOOTOSHI 👑
BOOTOSHI 👑@KingBootoshi·
TIRED OF YOUR AGENTS PRODUCING DESIGN SLOP? INTRODUCING TLA PRECHECK ✅ THIS TOOL MAKES IT MATHEMATICALLY IMPOSSIBLE FOR AGENTS TO PRODUCE BUGGY DESIGN! It comes with a skill for Claude Code & Codex for them to do this for you! Install guide in replies :) 👇
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Majid Manzarpour
Majid Manzarpour@majidmanzarpour·
Jeff Kaplan just did his FIRST EVER Twitch stream! 10 hours of raw, unfiltered gameplay of his new game: The Legend of California by @kintsugiyama He installed OBS the night before. No polish. No PR team. Just a guy who used to fill arenas at BlizzCon now streaming from his house. "We'd show a cinematic that was the most amazing cinematic ever, and we just don't have the budget for that here. So this is the ultimate keeping-it-real version of how games are actually made." Here are 10 moments from the stream that stood out 🧵
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Jamon
Jamon@jamonholmgren·
My current agentic workflow is about 5x faster, better quality, I understand the system better, and I’m having fun again. My previous workflows have left me exhausted, overwhelmed, and feeling out of touch with the systems I was building. They also degraded quality too much. This is way better. I’m not ready to describe in detail. It’s still evolving a bit. But I’ll give you a high level here. I call this the Night Shift workflow.
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Rijndael
Rijndael@rot13maxi·
The way TLA+ works is you write up your whole system as a state machine. There are basically variables and then actions that update those variables. The actions that can be taken next depend on the current state. One of the (many) cool things about tla+ is an action can pick a nondeterministic next state. For example it can say “the next action could be any of these five things” (which is what can happen in the real world) What the TLA model checker does is it explores all the valid states by walking through the state machine and then whenever theres a no deterministic choice, it branches and creates parallel timelines for the different choices. It checks your invariants and temporal constraints at each step, and then gives you a trace of the timeline where an invariant or constraint failed. So imagine your state machine is like a tree for different choices. What can happen (VERY EASILLY) is you accidentally construct a state space (think the width of your tree) that is too large for the model checker to actually walk through exhaustively. Solutions for this are: 1. Dont do that 2. Have the model checker sample the space rather than do an exhaustive walk (not great) 3. On large state spaces use a sat solver instead of having the model checker check all states
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Jamon
Jamon@jamonholmgren·
If your agent misbehaves and writes the wrong code, don’t tell it to fix the code. And don’t fix it yourself. Use that valuable context to figure out WHY it did the wrong thing. Tell it the issue, have it analyze its own context, and have it tell you what docs or skills or workflow is wrong, and what improvements would make it make the right decision next time. Then have it fix those issues. Be very diligent that it gets it right. Be prepared to hand tune this, because you can amortize the improvement over the rest of your project. Only after that, have it fix the original issue.
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