𝒗𝒃𝒎𝒔𝒈.𝒗𝒃𝒙 「αολ 98」

443 posts

𝒗𝒃𝒎𝒔𝒈.𝒗𝒃𝒙 「αολ 98」 banner
𝒗𝒃𝒎𝒔𝒈.𝒗𝒃𝒙 「αολ 98」

𝒗𝒃𝒎𝒔𝒈.𝒗𝒃𝒙 「αολ 98」

@symsonic

TOSAdvisor has entered the room.▪️former aohax0r ▪️ current rubyist▪️dg4e, rare re%

aol://2719-2-2-test Katılım Haziran 2013
764 Takip Edilen122 Takipçiler
𝒗𝒃𝒎𝒔𝒈.𝒗𝒃𝒙 「αολ 98」 retweetledi
vittorio
vittorio@IterIntellectus·
"sleep training" a newborn means letting a defenseless baby scream for its mother in the dark until it's either exhausted or has given up on life. the attachment literature is clear that before 6 months, a baby crying with nobody coming learns exactly one thing, that calling for help doesn't work and you even have parents bragging about how they tortured their kid into an 8h sleep you need to attend to every need of your child. they don't have a prefrontal cortex able to understand what's happening. if you love them and care for them, they'll barely cry, and when they do there's a clear reason you can address right away
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Wall Street Apes
Wall Street Apes@WallStreetApes·
North Carolina Hospitals have deployed these telepresence robots These allow doctors to interact remotely with patients. A real human doctor is operating this remotely and speaking with patients Yes, this is real. This is so dystopian North Carolina hospitals deployed these to combat doctor burnout and staffing shortages at some locations
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そぞら@Raspberry Pi 電子工作
GPSモジュールで取得した現在位置を中心として、周辺の飛行機をレーダー風に表示できた。飛行機の信号も、家の中より車内の方が良く受信できてる。
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Noah Taylor
Noah Taylor@noahforkansas·
When my son's lips turned blue, my wife and I had to pause and ask ourselves: can we afford the ambulance? No Kansas family should ever have that conversation.
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vittorio
vittorio@IterIntellectus·
1) what
vittorio tweet media
Z.ai@Zai_org

Introducing GLM-5.1: The Next Level of Open Source - Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. - Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5.1 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days.

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signüll
signüll@signulll·
i’m curious what are your top 5 use cases for openclaw that you cannot live without?
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Marc Andreessen 🇺🇸
Magical OpenClaw experiences that use frontier models cost $300-1,000/day today, heading to $10,000/day and more. The future shape of the entire technology industry will be how to drive that to $20/month.
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Boris Cherny
Boris Cherny@bcherny·
Starting tomorrow at 12pm PT, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw. You can still use these tools with your Claude login via extra usage bundles (now available at a discount), or with a Claude API key.
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鈴森はるか 『haruka suzumori』 🇯🇵
🇺🇸🇯🇵 Everyone in Japan knows "Take Me Home, Country Roads" by John Denver. We cover it all the time so I hope our American friends can appreciate it.
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Jason Fried
Jason Fried@jasonfried·
While considering names for Fizzy, we briefly considered Insane Card Posse. So much so, that we got insanecardposse.com just in case.
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Neimo🔴
Neimo🔴@NeimoNeimon·
@notch Yes. Build a modern client with GIFs and whatever.
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𝒗𝒃𝒎𝒔𝒈.𝒗𝒃𝒙 「αολ 98」 retweetledi
notch
notch@notch·
Let's just go back to IRC again.
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file_id.diz
file_id.diz@fileiddiz·
Are you this old?
file_id.diz tweet media
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Jorge Manrubia
Jorge Manrubia@jorgemanru·
My very subjective perception from the last weeks: - Claude was ahead of Codex. - Codex suddenly became as good as Claude, sometimes better and faster. - Overnight, Claude is substantially ahead of Codex again, both in speed and performance.
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NewsForce
NewsForce@Newsforce·
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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Sudo su
Sudo su@sudoingX·
this is what 12 gigs of VRAM built in 2026. a 9 billion parameter model running on a 5 year old RTX 3060 wrote a full space shooter from a single prompt. blank screen on first try. i came back with a bug list and the same model on the same card fixed every issue across 11 files without touching a single line myself. enemies still looked wrong so i pushed another iteration and now the game has pixel art octopi, particle effects, screen shake, projectile physics and a combo system. all running locally on a card that was designed to play fortnite. three iterations. zero cloud. zero API calls. every token generated on hardware sitting under my desk. the model reads its own code, finds what's broken, patches it, validates syntax and restarts the server. i just describe what's wrong and it handles the rest. people are paying monthly subscriptions to type into a browser tab and wait for a server farm to respond. meanwhile a GPU you can find used on ebay is running a full autonomous hermes agent framework with 31 tools, 128K context window and thinking mode generating at 29 tokens per second nonstop. the game still needs work. level upgrades don't trigger and boss fights need tuning. but the fact that i'm iterating on gameplay balance instead of debugging whether the code runs at all tells you where this is headed. every iteration the game gets better on the same hardware. same 12 gigs. same 9 billion parameters. same RTX 3060 from 5 years ago your GPU is not a gaming card anymore. it's a local AI lab that never sends your data anywhere.
Sudo su@sudoingX

i run every model through octopus invaders. same prompt, same game spec if a model can build this autonomously on a single GPU it passes. if it can't it doesn't. qwen 3.5 9B Q4 on a RTX 3060. first attempt was blank screen built 2,699 lines across 11 files and nothing rendered. i wrote it off as a ceiling. then last night i came back with a precise bug list and the same model on the same card fixed every single one surgically. game came to life. enemies spawning, background rendering, collisions working. but bullets didn't fire and the enemies looked like colored squares instead of octopi. today i pushed again. listed 9 more bugs. the agent read every file, patched across 4 modules, validated syntax and restarted the server on its own. bullets fire. enemies look like actual pixel art. screen shake works. the game is playable and i genuinely enjoyed it. level upgrades still don't trigger and there's more to fix but i'm iterating on a single 12GB card running everything locally. every file, every prompt, every output stays on my machine. 29 tok/s generation, 417 tok/s prefill, 128K context window on a card that most people bought to play warzone. if you use AI in any part of your life and you have a computer with a GPU in it you should not be sleeping on this. the model weights are free. the hermes agent framework is free. your data never leaves your house. own your cognition.

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