Alisher (@alienmadev) header
Alisher (@alienmadev) profile picture

Senior Go engineer, working on stuff

Uzbekistan
Joined June 2021
Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)Photo by Alisher (@alienmadev)
Man, I love this stuff. If I want to code by hand, I code by hand. If I want to code with AI, I code with AI. If I want Omarchy, I use Omarchy. If I want to build my own rice from scratch, I do that too. Rust one day, Java the next. Don't forget why you got into tech in the first place. Remember that joy you felt writing hello world for the first time, or discovering that distro that just clicked, or trying out a keyboard that felt perfect? It was euphoric. So why try to take that away from someone else? Have opinions, argue about what's better, whatever. But I'll never understand being so judgmental toward someone for enjoying tech differently. Some of y'all just need to roll one up and watch Surf's up or something.
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you don't get experience by doom scrolling your AI FOMO twitter TL. you get experience by building and doing things and ignoring what's basically 99% noise on here. in fact, i think youngens getting their insights from here is detrimental to them.
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Replying to @poojabnf
I read the code
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Man, stfu, you work at OpenAI. You are incentivized to promote loops because they make your company money. Another useless hype.
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.
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🚨 BREAKING 🚨 Infamous Russian hacker and beatboxer exposes exactly how hackers got access to private GitHub repositories
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Alisher retweeted
Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.
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i'm normally not one to speculate about models being dumbed down as it's normally a function of codebase + context, but gd is GPT 5.3 codex dumber than a box of rocks today
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New year, new Artificial Analysis Intelligence Index! Announcing Intelligence Index v4.0: incorporating 3 new evaluations, further aligning to real-word use and reducing saturation The Artificial Analysis Intelligence Index is our synthesis metric for assessing generalist model intelligence and tracking AI progress. We like nuance and breakdowns at Artificial Analysis (and you’ll find plenty of that in the thread below!) but when you want a single number, this is the best one. Artificial Analysis Intelligence Index v4.0 is: ➤ Less saturated: Top models score ≤50 in v4.0 compared to 73 in v3.0. The ten evals still cover a range of difficulties to allow differentiation from small models to frontier models ➤ More agentic: GDPval-AA, our leading metric for general agentic performance, joins Terminal-Bench Hard and Tau2 Telecom ➤ A multi-dimensional view of intelligence: Index V4.0 has four equally weighted categories: Agents, Coding, Scientific Reasoning and General Changes: ➤ Added in v4.0: AA-Omniscience, GDPval-AA, CritPT ➤ Removed in v4.0: MMLU-Pro, AIME 2025 and LiveCodeBench Overview of the three new evals: ➤ AA-Omniscience tests models on knowledge and hallucination across >40 topics ➤ GDPval-AA is our generalist agentic performance eval - testing models on real-world economically valuable tasks leveraging OpenAI’s GDPval dataset, via our reference agent called Stirrup ➤ CritPt tests performance on hard research-level physics research tasks, including condensed matter, quantum physics, and astrophysics Results: OpenAI's GPT-5.2 with xhigh reasoning effort leads the Artificial Analysis Intelligence Index v4.0, followed closely by Anthropic's Claude Opus 4.5 then Google's Gemini 3 Pro. As always, all evaluations have been run independently and using a standardized methodology. We publish our methodology on the Artificial Analysis website. See below for further analysis.
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I played with Gemini 3 yesterday via early access. Few thoughts - First I usually urge caution with public benchmarks because imo they can be quite possible to game. It comes down to discipline and self-restraint of the team (who is meanwhile strongly incentivized otherwise) to not overfit test sets via elaborate gymnastics over test-set adjacent data in the document embedding space. Realistically, because everyone else is doing it, the pressure to do so is high. Go talk to the model. Talk to the other models (Ride the LLM Cycle - use a different LLM every day). I had a positive early impression yesterday across personality, writing, vibe coding, humor, etc., very solid daily driver potential, clearly a tier 1 LLM, congrats to the team! Over the next few days/weeks, I am most curious and on a lookout for an ensemble over private evals, which a lot of people/orgs now seem to build for themselves and occasionally report on here.
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Peak engineering posture
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what I've been working on...
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If you want to start a software startup, you should still learn to program. Even if AI writes most of your code, you'll still be in the position of an engineering manager, and to be a good engineering manager you have to be a programmer yourself.
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We tested a pre-release version of o3 and found that it frequently fabricates actions it never took, and then elaborately justifies these actions when confronted. We were surprised, so we dug deeper 🔎🧵(1/) nitter.cf/OpenAI/status/19125493…
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It's been maddening to go to sleep and wake up every day for 16 months to scenes of Palestinian children being torn to pieces by Israel funded by our tax dollars.
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Someone on the Go team decided to take a "quick stab" at fixing a small bug in Go's escape analysis, resulting in a 5x increase in typescript performance. Why Go you ask?
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Stay strong my boy🙌 Support #khusanov
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