Ph.D. in Physics ⚛️ | AI & ML Expert. Leading innovations. InCredibles & Innowator Śląska 2024 winner. Bridging deep science & business impact.

Poland, San Jose USA
I’m building something awesome. 👀 The inspiration came while on holiday with my kids—but this is the next chapter of my AI-native device project, Vault. I’ve tested the stack with current SOTA open-weight LLMs, and it works. The ultra-compact enclosure for my custom Jetson Orin Nano Super build is now printing. Fully parametric, too—no Astra operating Blender involved. 😉 Probably my most ambitious after-hours Physical AI project yet. Still need to add a physical kill switch… just in case! 😅 I’m fascinated by how far I can push this. Where it started: callstack.com/blog/building-… #PhysicalAI #OpenSource #Hardware
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Lech Kalinowski retweeted
This is your tool for testing mobile apps with agents, any platform, simulators and devices included ⬇️
Any agent can test iPhone Duo apps for you now. No need to do it by hand. Folded, half-open, open, all without stealing your focus or other agents sessions. Just give them @agent_device
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How does quantization affect APEX performance? 🔬 Artur Morys-Magiera @artus9033 and I shared our research at @AgentConf . We hope our findings help the community make more informed decisions about quantization. 🎥 piped.video/XLoY8PpYXNU
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344 runs. 25 days. Quantization is humbling 😅 Apex-31B BF16: 57% → 86.5% MMLU after fixing the chat template + eval harness. Same weights. Same 400 questions. 🤯 Then the payoff: IQ4_XS gave us 3.4× decode throughput and a 73% smaller file vs BF16 on DGX Spark. 🚀 @artus9033 and I talked about all of this at @AgentConf , organized by @callstackio. For me, it’s already one of the most exciting AI conferences in Poland! 🇵🇱🔥
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Live @typesafeai Jev demo at @AgentConf
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I’m still so surprised that, besides being a speaker at @code_europe, I WON a @PlayStation 5! 🎮🔥 Huge thanks to @softswiss for the generous prize in their lottery! The funniest part? When I first got the “Congratulations, you won!” email, I was convinced it was phishing. 😅 Turns out it was very real. What a great surprise after Code Europe!
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It is freakin amazing! And i love that!
Jev playing Flappy Bird like it’s nothing
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APEX for free during @AgentConf . Boom !
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Build cool stuff!
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Last preparations yestarday. Today @AgentConf begins! I will be at APEX and Agent Device booth at 12. We can talk about our latest achievements in AI and agentic workflows. Meet me there!
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Heading to Warsaw today in a great mood ☀️ Tomorrow at @code_europe Code Europe, I’m speaking about “No Framework, No Server: Making AI Agents Collaborate in One Terminal.” A terminal, local models, and agents working together. If you’re coming, say hi! @AiswaryaVenkit1 @lemanskills @amireslamdoust @tripu @aurelievache @BassemDy @menzel42 @cristinaponcela @dvdstelt @Everlier @jarek_gajewski @joshleecreates @k_cieslak @mourjo_sen @niallm @pkivima @sliwaptr @pladynski @Raj_tldr @blackgirlbytes @ro14nd @edorado93 @soganmageshwar @szymonchudy @TejasKumar_ @girba
Made with AI
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See you at Agent Conf! @AgentConf @reactuniverse_ @callstackio
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Lech Kalinowski retweeted
Releasing free unlimited React Native cloud Simulators An OSS CLI that hosts simulators on Github and lets you or your agent run @agent_device to test things out. Available for private repos too. Try out the alpha today at reactnativefeel.com/sim or install right away w/ `npm i -g native-sim`
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GPT-6 Astra vs Claude Fable 5.1 on RN Evals. 134 tasks. 10 runs each. 2,680 fully judged evaluations. Published overall scores: Astra: 86.4% Fable: 89.0% Categories: Navigation, Animation, Async State, Lists & React Native APIs. A narrow lead for Fable. One run doesn’t tell the whole story. rn-evals.vercel.app/
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Agents Commander 0.1.5 is out. Now MIT-licensed: up to 100 agent panels, OpenCode, local agent-to-agent messaging, and opt-in capture with reviewed training-data export. Try the offline demo: npx agents-commander@0.1.5 --demo npmjs.com/package/agents-com…
Made with AI
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Yeap thats ours 😁
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Physical edition 🫠 ❤️❤️❤️
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React Native Evals are out with a bunch of new models: > Claude Opus 5 only +4 pp over Opus 4.6 at ~2× the cost > Grok 4.6 scores 12 pp higher than Grok 4 at ~half the cost > Ox Alpha hits 81% at $0, basically free Opus 4.7 territory
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