Arsh - 16 y/o builder (@be_arsh) profile picture

16 yo builder building: https://teapawt.net/t.co/snVarjhdwG

Joined September 2023
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Your coding agent can build anything except the app you use it in So I made Seed It starts as one chat. Ask for a feature and it builds it into itself. Works with your Claude Code, Codex, Cursor or OpenCode login and it's open source 👀
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Arsh - 16 y/o builder retweeted
This is a really good idea. ADEs are currently shipped as-is and adding features requires cloning and building. I hate restarting ADEs mid-thread, and this bsaically solves it for me. Thanks
Your coding agent can build anything except the app you use it in So I made Seed It starts as one chat. Ask for a feature and it builds it into itself. Works with your Claude Code, Codex, Cursor or OpenCode login and it's open source 👀
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its official fable 5.5 today
Remember when Grok 4.7 came out and then Opus 5.5 dropped the next day
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Omg FINALLY, noone has been waiting as long as me, previously i had an entire skill and mcp setup on all machines to allow me to do this. goated feature that not many harness or ADEs think about properly.
Day 28/ Julius cooked harder than I thought. Multi-machine orchestration has been achieved internally. One thread, multi-model, multi-harness, multi-app, multi-os, multi-machine, multi-network. We're just getting started :)
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google just dropped gemini 4 carbon > it beats opus and astra in quite literally every single benchmark > #1 on AA and specifically terminal bench and SWE-sweep both of which are very unsaturated and not very susceptible to benchmaxxing >not available to normal users yet. >best cyber capabilities of any model ever by a huge margin. I had a similar reaction when argon dropped and it was a huge disappointment so I hope its worth it, and they NEED TO ADD IT to the student plan for google ai pro, they didnt for argon and it pissed me off.
Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.
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argon two weeks ago. carbon already number one on artificial analysis
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now my moms gonna wonder why her macbook is lagging when im running 50 sandboxes on it remotely 😭
1/ You already own a fleet of sandboxes. It's your Mac. We benchmarked Cua Spaces on a Mac Studio instead of a cloud box. A new Linux Space runs its first command in 235 ms. Then we kept adding Spaces until the Mac was full: 448 idle ones at once.
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They surely increased the usage on Grok Bot. I’ve been using it even more heavily than I did last week and there’s only one day left to my recent and I’m only at 75% used. W spacex team. keeping me as a customer.
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Tibo needs to add opus to the chatgpt plans to apologize for this slop im never gonna use.
GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
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i was using gemini to clean up some space and it went and deleted a bunch of shit, now opus is fixing it using session logs from t3 code
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5 minutes 50% of my 5 hour 😭
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wtf i was wondering what was up with my usage Anthropic screwed up this warrants at least a reset and a banked
Spent a lot of time on this today. I confirmed it's a real bug on Anthropic's side. To be clear: this does not affect weekly limits. All Agents SDK usage will drain your 5h limits faster than using Claude Code directly. I have reported this to Anthropic, hoping for a fix soon.
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Arsh - 16 y/o builder retweeted
My iPhone Duo video went viral, so I'm giving away 100 iPhones on X 😛
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who is the actual user of your infra now, you or your agent
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ive used lightning ai a lot in the past for compute since they offer a pretty good tier for students and I was just trying to get into my account wondering why I couldn't get in even THEY got hacked, seems no-one is talking about this one its crazy what some actors are doing with abliterated deepseek these days
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what is happening in @t3dotcodes right now
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bro escaped through dns
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications. On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments. While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software. After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely. openai.com/index/securing-ou…
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