Psyho
@FakePsyho
Game Designer; Problem Solver; past: OpenAI (Dota), Pro Competitive Programmer, Poker
Let's make a silly experiment. For every like this post receives in the next 24 hours, I will post one tip for heuristic/bot programming contests. I will start posting these as a thread in ~1h from now. I could talk about those things for days, so bring it on!
I'm sorry, but did you just put limited number of lives in a puzzle game in 2025? I love the concept and I think it's a step in the right direction, but maybe you should work with experienced puzzle designers (actual experts in the field) instead of relying on crowdsourcing?
Today, we're announcing a preview of ARC-AGI-3, the Interactive Reasoning Benchmark with the widest gap between easy for humans and hard for AI We’re releasing: * 3 games (environments) * $10K agent contest * AI agents API Starting scores - Frontier AI: 0%, Humans: 100%
Humanity has prevailed (for now!) I'm completely exhausted. I figured, I had 10h of sleep in the last 3 days and I'm barely alive. I'll post more about the contest when I get some rest. (To be clear, those are provisional results, but my lead should be big enough)

Update: Slept for less than 1 hour. I will happy if I have enough energy to last full 10 hours 😭
Since I can't fall asleep and had no time to properly research that. In OPTUNA, which sampling algorithm is the most suited for AHC?
And the last thing before I go to sleep. The finals will be livestreamed (yay!) at: youtube.com/live/TG3ChQH61…
AWTF questionnaires are published: info.atcoder.jp/entry/awtf-Heu… I think my good TCO performance comes from the fact that none of the finals' problems ever required beam search. Not sure if was too obvious about that😅
Given the rapid improvement of coding agents, sponsors in competitive programming will likely disappear within 1-2 years Even with slow adoption and minimal progress in AI, there will be simply too many developers and too few jobs (except in highly specialized niches)
LLM wrapper that iteratively improves solutions for problems that can be automatically evaluated (like optimization problems). Weird release: used in-house, no serious benchmarks (like contests), no mention of costs, very vague paper. Just showing off with nothing useful shared
Introducing AlphaEvolve: a Gemini-powered coding agent for algorithm discovery. It’s able to: 🔘 Design faster matrix multiplication algorithms 🔘 Find new solutions to open math problems 🔘 Make data centers, chip design and AI training more efficient across @Google. 🧵