AI · alternatives · 2026
24 alternatives to Jev vs. GPT-5.6 and Claude Haiku at Pong
Jev returns a decision in 227 ms. The chat models take 2.5 to 3.5 seconds. Pong where the ball moves one step per model decision. Slow model, slow ball.
Jev vs. GPT-5.6 and Claude Haiku at Pong is a comparison tool that plays the classic Atari game simultaneously with different AI models. Each model controls a paddle in its own lane, and the ball moves one step per… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Jev▲544Fast, structured AI decisions for software automation
12d ago · console.typesafe.ai · its alternatives →
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LLM-generated real-time commentary for Pong. Contribute to pncnmnp/xpong development by creating an account on GitHub.
2025 · github.com · its alternatives →
- 3

A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
Jul 2026 · github.com · its alternatives →
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Have a natural, spoken conversation with AI! Contribute to KoljaB/RealtimeVoiceChat development by creating an account on GitHub.
2025 · github.com · its alternatives →
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Fast and efficient models optimized for coding and subagents
Mar 2026 · openai.com · its alternatives →
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September 2026. Every number here is from the benchmarks, and bash experiments/bench.sh --no-record reruns them without an API key.
3d ago · jevstiller.pages.dev · its alternatives →
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Watch the AI decision model Jev play Pokémon Red in its entirety, live.
7d ago · jev-pokemon.vercel.app · its alternatives →
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Tighter instruction adherence in speech agents
Feb 2026 · developers.openai.com · its alternatives →
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How small can a language model be while still doing something useful? I wanted to find out, and had some spare time over the holidays. Z80-μLM is a character-level language model with 2-bit quantized weights ({-2,-1,0,+1}) that runs on a Z80 with 64KB RAM. The entire thing: inference, weights, chat UI, it all fits in a 40KB .COM file that you can run in a CP/M emulator and hopefully even real hardware! It won't write your emails, but it can be trained to play a stripped down version of 20 Questions, and is sometimes able to maintain the illusion of having simple but terse conversations…
Dec 2025 · github.com · its alternatives →
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A 60-second game about LLM permission fatigue. Claude Code needs your approval — but are you really reading the commands?
May 2026 · llmgame.scalex.dev · its alternatives →
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Explore large language models in 512MB of RAM. Contribute to jncraton/languagemodels development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 12

Last year when GPT-4 was released I started making lots of little voice + LLM experiments. Voice interfaces are fun; there are several interesting new problem spaces to explore. I'm convinced that voice is going to be a bigger and bigger part of how we all interact with generative AI. But one thing that's hard, today, is building voice bots that respond as quickly as humans do in conversation. A 500ms voice-to-voice response time is just barely possible with today's AI models. You can get down to 500ms if you: host transcription, LLM inference, and voice generation all together in one place;…
2024 · fastvoiceagent.cerebrium.ai · its alternatives →
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V-JEPA 2▲198Meta's world model for physical world understanding
2025 · ai.meta.com · its alternatives →
- 14

I'm Vivek, co-founder/CEO of HackerRank (YC S11); You may know us as a hiring tool for developers/companies. Over the years, we have built up deep expertise in generating programming challenges, and we are now using that to make coding models better. Our first launch is Model Kombat -- an arena where you can directly compare anonymized coding models, side by side, on real problems. * Pick an arena (Java, Python, etc.) * Each battle has 3 rounds: see the problem + two model outputs -> vote on which you’d actually prefer * Leaderboards + problem statements are updated weekly. We…
2025 · astra.hackerrank.com · its alternatives →
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ChatPlaygroundAI▲284Access and compare top AI models & AI browser copilots
2024 · chromewebstore.google.com · its alternatives →
- 16

Agent evals and guardrails in one request. Built on Jev, Kev and Laya. - openlayer-ai/jevals
12d ago · github.com · its alternatives →
- 17

Building a 1D-Pong game is a bit of a rite of passage at the Chaos Communication Congress. I was inspired by a version I saw at 38C3 and built my own interpretation for 39C3. Lots of people enjoyed playing it and even Elliot Williams featured it in his 39C3 Hackaday Podcast. And I can attest: it's truly fun because it's sooo simple at first sight - but wait until the speed increases... Not a bad work to fun created ratio for such a little project. I used the opportunity to play around with Claude Code on my preexisting codebase to publish a nice-ish repo on GitHub. It worked great without…
Jan 2026 · github.com · its alternatives →
- 18CV
2023 · olilo.ai · its alternatives →
- 19TT
Simulate anything on a map from a text prompt -- and conduct risk analysis against LiveUA map's global realtime data points from social media and news sources. I trained a GPT-2-size model on historical incident data used to predict things that will go wrong. As historian Benjamin Breen mentions, the leading language models are good historians, so the application will simulate historical events pretty well also. I include a Multi-Agent RL Urban Mobility model in progress displayed on the map as small white cubes representing traffic and pedestrians. Around SF, it uses real census data and…
2025 · mused.com · its alternatives →
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The Emotion Engine has 32 MB of RAM total, so the trick is streaming weights from CD-ROM one matrix at a time during the forward pass — only activations, KV cache and embeddings live in RAM. This means models bigger than the RAM can still run, they just read more from disc. Had to build a custom quantized format (PSNT), hack endianness, write a tokenizer pipeline, and most of the PS2 SDK from scratch (releasing that separately). The model itself is also custom — a 10M param Llama-style architecture I trained specifically for this. And it works. On real hardware.
Mar 2026 · github.com · its alternatives →
- 21

TLDR: We created a personalised Andrej Karpathy tutor that can response to questions about his Youtube videos in sub 1 second responses (voice-to-voice). We do this using a voice enabled RAG agent. See later in the post for demo link, Github Repo and blog write up. A few weeks ago we released the worlds fastest voice bot, achieving 500ms voice-to-voice response times, including a 200ms delay waiting for a user to stop speaking. After reaching the front page of HN, we thought about how we could take this a step further based on feedback we were getting from the community. Many companies were…
2024 · educationbot.cerebrium.ai · its alternatives →
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JevForAgents▲59Explore real Jev agent builds, demos, and patterns
8d ago · jevforagents.com · its alternatives →
- 23IM
Also inspired by this HN submission: https://www.chiark.greenend.org.uk/~sgtatham/quasiblog/findl... The model is gpt-4o-mini-2024-07-18.
2024 · app4.hc11.org · its alternatives →
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Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
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