@NativeScript Dev Expert, Partner @teamnstudio, Engineering Manager @simprosoftware Passionate about coding, running and making a difference. 💻 🏃🏻‍♂️

Auckland, New Zealand
Realtime sentiment analysis with Jev and ElevenLabs. Each phrase takes on the color of the emotion it carries while the caller is still talking. Six meters on the right track the mood of the call.
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Meta VR Glasses Coming Spring 2027.
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Shiv retweeted
This is exactly what I’ve been waiting for 🔥 Meta just announced its new VR Glasses. Basically an Apple Vision Pro-like experience, but MUCH smaller and lighter. • Only 100g • Micro-OLED displays • Snapdragon Reality Elite • Eye + hand tracking • External compute/battery puck • $1,299 This is the direction I want VR to go. Smaller, lighter, more comfortable, while keeping the full spatial computing experience. Launching Spring 2027. I’m getting these 100% 🙌
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Try these in your first Opus 5.5 session: → Hand over a whole task. Define "done" and when to check in. → Drop "think carefully". It always thinks first. → After a long run, check what it needs to go further. Our playbook: claude.dev/blog/getting-the-…
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I've asked Claude Opus 5.5 to create 100 HTML files Rules were simple: - look stunning - zero repetitive designs - go full creative mode CLAUDE OPUS 5.5 IS THE BEST MODEL I HAVE EVER TESTED !!! The previous best results on this experiment was of Fable 5.1, but Opus 5.5 is NEXT LEVEL. Many files include FULL COMPLETE playable GAMES! ZERO BROKEN FILES. I'm just blown away! 🤯 See the results for yourself (incl. prompts): miaai-lab.github.io/Claude-O… There are TOO MANY INSANE files, I can't list everything! I HIGHLY recommend you go over EVERY SINGLE FILE. Some great examples: Paper Cut Diorama miaai-lab.github.io/Claude-O… Neon Rain: miaai-lab.github.io/Claude-O… A Complete Chess game! miaai-lab.github.io/Claude-O… Neon Breakout miaai-lab.github.io/Claude-O… Neumorphic Synt miaai-lab.github.io/Claude-O… Constellation Mapper miaai-lab.github.io/Claude-O… Pendulum Wave miaai-lab.github.io/Claude-O… Pulse Visualizer miaai-lab.github.io/Claude-O… Typewriter Letters miaai-lab.github.io/Claude-O… Piano miaai-lab.github.io/Claude-O… Holographic-Card miaai-lab.github.io/Claude-O… Elastic Letters miaai-lab.github.io/Claude-O…
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i built a text box that turns into whatever(some ui) you type. powered by jev
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Guitar Pocketbook, my first iPhone Duo app. - AVAudioEngine graph in TypeScript - Folding drives the mix (reverb and tone) - Hinge glows with audio frequency - WebGPU (metal) handles all visual fx Built with @NativeScript
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iPhone Duo, develop it with NativeScript now.
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New experiment: json-render + jev The future Generative UI is instant Your components, your actions, your design system Rendered in milliseconds
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Also have been playing with @typesafeai Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms
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Jev by @typesafeai is now on OpenRouter, in beta. Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validate against.
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I used Jev to classify 1,018 AI research papers. The result: $0.08 total cost and 256ms median end-to-end latency per paper. The pipeline was: 1. Summarize each paper with DeepSeek V4 Flash 2. Send the title + summary + 24 possible topics to Jev 3. Use Jev to classify each paper 4. Visualize everything on 1kpapers.com The summaries cost $3.99 on @togethercompute. The classifications cost $0.08 on @typesafeai. So for just over $4 of inference, I ended up with a pretty useful way to explore the top AI research papers from the past year. I think this is where things are heading: different models for different parts of the workflow, instead of using one model for everything. I’m running evals on the Jev classifications before replacing the current ones, but the site is already live: 1kpapers.com
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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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At Anthropic, Claude now writes 80% of our code. Engineers ship 8x more code per quarter. Side effect: Tests grew 10x. CI jobs up 25x in 6 months. Here's what helped us scale: claude.com/blog/agentic-codi…
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I can’t stress enough how little an idea matters compared to the agency of the people executing the idea. I have had the privilege of knowing and sometimes even working with some of the most successful people (by various metrics). The difference between mediocre and excellent work and outcomes is predominantly one of agency. In practice this means: they dont wait for things to happen to them they go out and make things happen for them. They don’t wait for someone else to do something, for someone to teach them, for someone to give them the path, etc. They just go out and find a way to do it. I think the single biggest superpower these people have is the realization/belief that the world around them is completely mutable. Most everything that happens is because a person made it happen. I used to tell people to look around the room you’re sitting in. Look at everything. Every noun. It almost all exists because a person willed it into existence. Nothing is stopping you from doing the same. I see people online all the time dismissing someone else’s success because “I had that idea first” or whatever. I mean… yeah? If so then the difference is… you. So a bit of a self own whenever I hear that. Number one tip: act with agency.
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🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
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ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of. - Faster image generation to keep your ideas flowing - Improved fidelity for more natural, recognizable images - Consistent details across multiple edits - Comment-based edits to change only what you want
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hey Astra, how fast are you really at using a computer?
Community note
The video shows Astra executing a pre-planned batched sequence of mouse clicks, keyboard presses and timed waits, not live real-time high-speed control. The poster clarified hybrid inputs and advance planning in replies. x.com/victornunez/st… x.com/victornunez/st… x.com/victornunez/st… openai.com/index/gpt-6-as… openai.com/index/computer…
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