The Stack - SiliconNoon (Page 14)

The Stack

Tsinghua's LiveEdit brings text-prompt video editing to live streams

Video editing by text prompt has been an offline affair — you describe the change, then wait while the model chews through the whole clip. A team at Tsinghua University and Hong Kong University of Science and Technology wants it live instead. A video editor that keeps up with a live feed just cleared the peer-review bar. LiveEdit, from Tsinghua and HKUST, takes continuously arriving video and applies plain-language edits chunk by chunk — recolor an object, swap a material, restyle a region — at

The Stack

Open Source Radar — August 26: The agent shelf is stocking up

After yesterday's Karpathy-driven flood, today's board thins out — and what's left standing is telling. The projects still climbing aren't new agent loops; they're the layers that stock and distribute the stack: a warehouse of ready-to-run agent apps, Anthropic's own storefront for Claude Code extensions, and a hundred-thousand-star trading framework that refuses to leave the daily list. Awesome LLM Apps (Python, ~134k stars) — Sitting second on today's daily board is a catalog of more than 100

The Stack

JD Logistics' Super Brain 3.0 now runs its warehouses end to end

China's biggest e-commerce logistics operation just handed more of itself to AI. Also today: MIT Technology Review published a hands-on set of puzzles that frontier models still flunk — a useful gut-check on how brittle those benchmark scores really are. JD.com's logistics arm launched "Super Brain" 3.0, an industrial-grade large-model system that now coordinates everything from warehouse shelving to last-mile delivery. Announced Tuesday at China's international transport technology and equipme

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Bun's million-line AI rewrite is the strongest evidence yet for 'the end of programming'

InfluxData cofounder Paul Dix picked the wrong week to be ignored. His essay "The End of Programming" argues that hand-written, human-reviewed code is headed for extinction — and his central exhibit is Bun 1.4, a release whose own engineering blog confirms almost every number he leans on. InfluxData cofounder Paul Dix says the act of writing code by hand and having other humans review it is headed for extinction — and he rests the argument on how Bun 1.4 got built. Writing on his personal blog,

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AI 101 — What is a vector database?

A vector database is a database purpose-built to store and search "embeddings" — long lists of numbers that capture the meaning of a piece of text, an image, or audio — so it can find things that are semantically similar rather than things that merely match your keywords. If that sounds abstract, consider where you have already met one. Every "chat with your documents" feature works because a system converts your question into numbers, compares those numbers against millions of stored ones, and

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Intel's next Xeon goes all-in on chiplets — 256 cores on 22 tiles

Also today: London's robotaxi rules are stuck in traffic, and most Americans admit they can't read the statistics that AI-generated research throws at them. Intel has laid out the full anatomy of Xeon 7, its Diamond Rapids server chip, at Hot Chips this week — and the headline is 256 performance cores assembled from up to 22 chiplets, 16 of them compute dies built on the bleeding-edge 18A-P process. The flagship pairs those core dies with four L3-packed base tiles and two "scalable fabric hub"

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Ant's Falcon TST 2.0 tops GIFT-Eval as global banks adopt the model

Ant International's Falcon TST 2.0 claims the top spot on GIFT-Eval, the most-watched benchmark for time-series foundation models, and it got there by chasing a harder prize than leaderboard points: forecasts that hold up in live financial markets. The Singapore-based payments arm of Ant Group says version 2.0 of its Time-Series Transformer cut mean absolute scaled error to 0.666 across the benchmark's 28 datasets, ahead of models from several global tech giants, and that forecast accuracy has h

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Nvidia's Vera Rubin posts a 30x agentic jump in first hardware tests

Nvidia just put real numbers on its next flagship. At Hot Chips 2026 the company published the first silicon-level benchmarks for the Vera Rubin NVL72 rack, and it ran them on DeepSeek-V4-Pro — a 1.6-trillion-parameter open-weights model — doing agentic coding work rather than canned chatbot queries. Against the current GB300 NVL72, Nvidia claims up to 30 times more throughput per megawatt and per-token costs cut by as much as 35 times. The comparison baseline matters as much as the headline nu

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Waymo picks Munich for its first continental Europe robotaxi push

Alphabet's Waymo said Tuesday it will bring its robotaxis to Munich, its first continental European city, with commercial rides targeted for the end of 2027 pending regulatory approval. The company set up a German entity months ago and is now working with Germany's Federal Motor Transport Authority and local officials to clear the path to a public launch. The sequencing is deliberately cautious. Waymo starts by mapping the city and running supervised tests with employees, media, and invited gue

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Claude's memory now follows you into its Cowork agent

Anthropic just turned Claude's memory into one system shared between chat and its Cowork agent — with new privacy dials to match. Plus: Waymo picks Munich for its first EU robotaxi beachhead. Anthropic has unified the memory behind Claude chat and Claude Cowork, so what the assistant learns about you in conversation now carries into the agentic desktop product, and back again. Users can see everything Claude remembers, topic by topic, and edit or delete any item; memories are written while the

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Nvidia's Jetson Orin Nano 2 doubles edge inference with 40% lower power draw

Nvidia just refreshed the little computer that powers a huge slice of the world's robots — and the efficiency numbers are the real story. Nvidia announced the Jetson Orin Nano 2, a new entry-level robotics computer that doubles the inference performance of its predecessor while drawing 40% less power in 15-watt mode. The module packs 78 trillion operations per second of AI compute, 8GB of memory and an eight-core Arm CPU into the same compact form factor as the previous generation, with gains c

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Perplexity's Portable Computer runs AI agents entirely offline

Perplexity and Nvidia are making the most aggressive push yet to pull AI agents off the cloud: a desktop app where the model, your files, and the work itself never have to leave the machine — and the token meter never moves. Perplexity launched Portable Computer on Monday, a version of its agentic Computer platform that runs entirely on local hardware — starting with Nvidia's DGX Spark desktop machine and Linux PCs with RTX GPUs carrying at least 24GB of VRAM. Built with Nvidia, it bundles the

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