Mick @mickvanhulst

Staff Applied scientist @TomTom working on automated mapmaking. Opinions my own. github.com/mickvanhulst The Netherlands Joined September 2017

Tweets

377
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117
Following

1K
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798

cole murray @_colemurray

a week ago

small AI teams get deceived into relying on explicit customer feedback thumbs up / rating doesn’t scale and isn’t representative of your systems behavior your feedback is the implicit user behavior

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Introducing Mirage 2 — a real-time, general-domain generative world engine you can play online Upload any image—photos, concept art, classic paintings, kids' drawings—and step into it as a live, interactive world. Prompt your worlds with text to create any surreal scenes and…

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StepFun @StepFun_ai

3 weeks ago

🚀 Introducing NextStep-1: A new paradigm for autoregressive image generation. 💡 Core design: A 14B Causal Transformer "artist" paired with a lightweight 157M Flow Matching "brush". We generate directly in continuous visual tokens, bypassing the information bottleneck of…

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Soumith Chintala @soumithchintala

a month ago

I used em dashes (a lot) before ChatGPT made them the official punctuation of soulless AI prose. (can't believe I've had to gentrify my own writing style)

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Mario Nawfal @MarioNawfal

a month ago

ROBOT NOW DOES LAUNDRY... HUMANS OFFICIALLY OBSOLETE? A humanoid robot called Figure 02 just folded itself into CEO Brett Adcock’s house and started running the washing machine... completely on its own! It’s powered by Helix AI, which basically makes it smart enough to do your…

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Ying Sheng @ying11231

a month ago

Think about the problems in full stack, you’ll be unstoppable. No boundaries, no barriers, do it anyway.

Elon Musk @elonmusk

a month ago

Think about the problems in full stack, you’ll be unstoppable. No boundaries, no barriers, do it anyway.

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Bobcat @somebobcat8327

a month ago

@AnthropicAI

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Gabriele Berton @gabriberton

a month ago

A brief thread on distillation, talking about (1) how it works (2) why it works and why students can learn to classify unseen classes (3) why students need less data than teachers (4) why students can outperform teachers (5) why the training data is not what you think it is (1/8)

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@

56 years ago

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Massimo @Rainmaker1973

2 months ago

Sorting aluminum cans from PET bottles using an eddy current separator

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François Fleuret @francoisfleuret

2 months ago

I instinctively believe that the principle of "denoising", that is to build examples of structure and order appearing from chaos simply by playing a degradation backward, is extraordinary and can bring AI anywhere.

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Cristian Garcia @cgarciae88

2 months ago

nvidia could do the most viral ai competition in history: start with 10,000 researchers and give each a free gpu to work on a public leaderboard but do rounds of elimination where the winners take the remaining hardware. the final winner gets all the gpus for a year.

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Ravid Shwartz Ziv @ziv_ravid

2 months ago

I totally agree. There are good ideas all the time, and many talented people who can implement them. The culture and the decision process are the fundamental differences between the teams

Ross Taylor @rosstaylor90

2 months ago

I totally agree. There are good ideas all the time, and many talented people who can implement them. The culture and the decision process are the fundamental differences between the teams

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Alexander Wei @alexwei_

2 months ago

1/N I’m excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world’s most prestigious math competition—the International Math Olympiad (IMO).

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Decart @DecartAI

2 months ago

Introducing MirageLSD: The First Live-Stream Diffusion (LSD) AI Model Input any video stream, from a camera or video chat to a computer screen or game, and transform it into any world you desire, in real-time (<40ms latency). Here’s how it works (w/ demo you can use!):

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Wholesome Side of 𝕏 @itsme_urstruly

2 months ago

This American dude on his way to his Japanese fluency decides to talk to a local Japanese grandpa, and it turned out to be the most wholesome convo ever 🥹

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Piotr Mazurek @tugot17

2 months ago

I solved every single problem in the CUDA mode book. A quick thread summarizing this experience and what I learned 1/x

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Sukjun (June) Hwang @sukjun_hwang

2 months ago

Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data

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Thomas Wolf @Thom_Wolf

2 months ago

Thrilled to finally share what we've been working on for months at @huggingface 🤝@pollenrobotics Our first robot: Reachy Mini A dream come true: cute and low priced, hackable yet easy to use, powered by open-source and the infinite community. Tiny price, small size, huge…

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Chris Lattner @clattner_llvm

2 months ago

I'm very excited to partner with SFCompute - Evan and team are phenomenally driven and built a powerful platform for scaling GPU solutions like never before. Combined with Modular's high-performance inference solutions, they're able to deliver incredible TCO advantages! 👇