Co-founder @ Red Dragon AI, Google Developer Expert for Machine Learning/ Deep Learning,

Singapore / San Francisco
Sam Witteveen retweeted
Introducing AssemblyAI-TTS-1, our first text-to-speech model. Natural speech for voice agents, streaming in 90 ms, at $15 per million characters. On accuracy, naturalness, and cost together, it’s the best TTS model you can run at scale.
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Sam Witteveen retweeted
Replying to @googlecloud
@googlecloud is your one-stop shop for leading frontier models from @GoogleDeepMind @AnthropicAI @OpenAI @SpaceXSI and providers of leading open weights models from @nvidia and many others. Check them out at console.cloud.google.com/age…
And there it is. One place serving the three leading proprietary LLMs from @googlecloud, @AnthropicAI, and @OpenAI. Easy hot-swapping for devs, while getting one invoice, unified identity management, and strict data perimeters around all of it. cloud.google.com/blog/produc…
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Argon is finally out and available!! Google is back in the frontier model game.
Google makes Gemini 4 Argon broadly available with limited-time low API pricing of $2/$10 per 1M token venturebeat.com/ai/google-ma…
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Sam Witteveen retweeted
Measuring the frontier while model capabilities improve ever faster needs us to adapt and plan proactively as well. We are sharing more, proactively towards that goal.
Announcing that Artificial Analysis Intelligence Index v5 will come in late October Intelligence Index v5 will be a significant leap in benchmarking the frontier of AI. Changes include adding Terminal-Bench Science and a new coding benchmark with a private dataset. Stay tuned for more.
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Sam Witteveen retweeted
Today we release Open d1: two open-weight multimodal models in our d1 decision model family. > d1-3B: text + vision > d1-omni-600M: text + image or text + audio > Real-time decision making anywhere, from data centers such as @nvidia DGX to RTX workstations to Jetson at the edge. 1/
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Sam Witteveen retweeted
It's pretty funny that it seems the one thing Mistral Large 4 is actually leading on is a benchmark about regulation Another EU banger
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Sam Witteveen retweeted
Introducing Core, The Personal Al Computer The most powerful technology humanity has built should belong to you Order today: ghost.ai
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Sam Witteveen retweeted
"So if classification was always the better fit for decisions, why is it suddenly returning now? The main answer is the quality of pre-training." venturebeat.com/orchestratio… < astute point from @Sam_Witteveen in this article about Jev and (the return of) classification models
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Sam Witteveen retweeted
Model alignment is probabilistic. This provides a deterministic layer underneath it, and the core of it is open source. Worth checking out.
Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. nvda.ws/4hcoq7m
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Sam Witteveen retweeted
You asked. We listened. The @Linux on @Snapdragon X2 Series Early Developer Preview is here. It's an early milestone, with support rolling out in phases, but developers can start exploring, testing, and providing feedback already today: bit.ly/3V2ARKp Join our Discord and help shape the future of Linux on Snapdragon: bit.ly/4u7A2LX
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Sam Witteveen retweeted
Had an "interview" for a blockchain project last week. Camera was on, we're chatting, and the guy tells me to clone a GitHub repo and run it locally before we go further into the technical round. I said sure, but first can you do me a favor hold up 3 fingers in front of your face for me real quick. He froze. Didn't move. Just sat there for a few seconds before the call cut off and he blocked me. That's when I knew. A real interviewer doesn't glitch out over a random ask like that. A deepfake/AI overlay does. These "run this repo" scams are getting scary common in crypto and dev hiring right now. The setup is always the same: - flattering DM - real-sounding project - rushed timeline - a "quick step" before the call that's really just remote access or a credential stealer in disguise. If someone wants you to run code or install something before you've even had a real conversation, that's the whole scam. Trust the instinct. Stay safe out there.
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Sam Witteveen retweeted
classifiers have been around forever
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Sam Witteveen retweeted
I tried to reproduce some of the ideas behind Jev from scratch. Started with a tiny Qwen3 1.5B model. Ended up building a parallel decision system using shared KV caches, benchmarking sequential vs batched inference, and getting 100% decision agreement in my cache correctness tests. Here's what I learned 🧵
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Sam Witteveen retweeted
I built a Photoshop-like image editor. It’s called Compositor. robbietilton.com/compositor I originally built it for myself to get off my Adobe subscription, but decided to release it for free and make it open source. It has all the essential tools I need for compositing, with none of the BS. I know this workflow is kind of archaic in 2026, but I’m still using it until AI can actually get pixel-perfect on some of the details. The entire app is 12MB. Photoshop is 6,455MB on my machine.
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Sam Witteveen retweeted
Goals in life!!
Our house in Toronto had this fancy glassed wine cellar, but we are not big wine drinkers. Anyways, it had good climate control so here is my rack cellar.
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Sam Witteveen retweeted
Big Tech engineering org charts in 2026
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