Hustler
@saurmiz
24 | overwhelmed by artificial intelligence, content with human curiosity
You are simply not bullish enough on the industry you log into every damn day. Here’s why: - Agentic Commerce: x402 + 8004; 2026 is going to be insane when these are used by billions of agents. Monitoring @coinbase + @ethereumfndn closely for leading this and how others like…
I read this article from @JTLonsdale and I couldn’t agree more with how he breaks down AI investing into six tiers. A few notes of my own:
Open source has always been a huge part of robotics, and this feels more true now than ever, with a proliferation of innovative open-source hardware and software platforms that have made robotics more accessible and dynamic than ever before, even in an age of huge valuations:
There's a lot of noise around x402 rn. Let me make it very simple for you: x402 is an open web standard that lets people monetize APIs easily. It supercharges APIs. Traditionally, you have to sign up on an API platform, set up your credit card, get an API token and then use…
What is x402? x402 is an open payment protocol developed by @coinbase that revives the HTTP 402 “Payment Required” status code. It allows AI agents or bots to pay for services in real time using crypto. Instead of relying on API keys or subscriptions, agents send a request,…
DeepSeek finally released a new model and paper. And because this DeepSeek-OCR release is a bit different from what everyone expected, and DeepSeek releases are generally a big deal, I wanted to do a brief explainer of what it is all about. In short, they explore how vision…
I'm excited to announce that Chandra OCR is open source! - Full layout information - Extracts and captions images and diagrams - Strong handwriting, form, table support - Works with transformers and vLLM
As part of our recent work on memory layer architectures, I wrote up some of my thoughts on the continual learning problem broadly: Blog post: jessylin.com/2025/10/20/con… Some of the exposition goes beyond mem layers, so I thought it'd be useful to highlight separately:
Introducing grounding with Google Maps in the Gemini API, bringing data about 250 million places and Gemini together to create all new experiences 🗺️! So powerful to connect things like maps + search together in a single experience : )
The @a16z report is super interesting. My favorite slide: Developing countries account for the majority of actual on-chain activity through mobile wallet usage. Countries like India, Nigeria, Indonesia, and Argentina collectively represent over 50% of monthly active mobile…
New paper! We reverse engineered the mechanisms underlying Claude Haiku’s ability to perform a simple “perceptual” task. We discover beautiful feature families and manifolds, clean geometric transformations, and distributed attention algorithms!
Interested in what causally induces attention sink, we ask this question: if query tokens never update as much as attention sink requires, do attention sinks still emerge? The result: No. Experiment setup: after each attention layer, before computing attn * V, we halve the…
Done with the week 1 at @_TheResidency @enter_delta 🚀 I'm building Alchemist! Turn whispers into breakthroughs. Alchemist will analyze multi-modal user feedback for your AI product by classifying it (like positive/negative or specific issues such as hallucinations or agent…
18 months ago, @karpathy set a challenge: "Can you take my 2h13m tokenizer video and translate [into] a book chapter". We've done it! It includes prose, code & key images. It's a great way to learn this key piece of how LLMs work. fast.ai/posts/2025-10-…
To solve AGI, we must first solve Geoguessr For that I built vlm-gym, a simple RL gym written in scratch, in JAX for Qwen3VL-4B (released yesterday) And added Geospot, a RL environment for geolocation and learned VLMs can learn how to geoguess. More:
Readers responded with both surprise and agreement last week when I wrote that the single biggest predictor of how rapidly a team makes progress building an AI agent lay in their ability to drive a disciplined process for evals (measuring the system’s performance) and error…
Excited to share our new work: StreamingVLM! 🚀 We tackle a major challenge for Vision-Language Models (VLMs): understanding infinite video streams in real-time without latency blowing up or running out of memory. Paper: arxiv.org/abs/2510.09608 Code: github.com/mit-han-lab/st…
to anyone building something to make the world better our founders are ambitious and hungry…unstoppable combination🪽🪐 @enter_delta
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