Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Read more ›
Controllable Diversity for Image Generation Read more ›
x86's lock-in is real. It's just furthest from the GPU. Read more ›
Lethe is a brain-centric cognitive architecture for a long-running AI assistant: memory, attention, background thought, supervision, and delegation as explicit runtime systems. Read more ›
Homogenization is the consolidation of methods across machine learning: strong leverage toward many tasks, but a single point of failure. I keep reading it as if it were about us, and about what these tools do to the human mind. Read more ›
Sakha lives in your Slack, learns your company's knowledge, and guides every new hire from Day 1 to fully productive. Read more ›
The loop takes agentic AI a step further, by authorizing a swarm of agents to work continuously in the background, endlessly. Read more ›
Vercel shipped eve, an open-source agent framework where each agent is a directory of files. It looks great, and it confirms the thesis behind Dawn. Here is an honest side-by-side, and where Dawn fits. Read more ›
There’s a new paper out called “PivCo-Huffman” (HTML version with annotations here) and it’s very interesting. Normal Huffman decoding (and, to a lesser extent, encoding) is inherently quite serial. We can get explicit parallelism by using multiple streams, which scales just fine to moderate numbers of streams – something like 4-8 is usually not an […] Read more ›
Live Online Event/3 Hours/June 23, 2026 17:00–20:00 CET (Paris)·11:00–14:00 ET (New York)·20:30–23:30 IST (New Delhi) # The Causal Summit 2026 Most business questions are causal. Most answers aren't. **The Causal Summit** is a 3-hour online event for decision-makers and data professionals, bringing together the world's leading voices in causal inference and Causal AI. Rigorous content made accessible, so you know what frontier causal methods make possible, and when to use them. June 23, ... Read more ›
Reference architectures and best practices for distributed ML training on AWS Read more ›
A new frontier agentic evaluation measuring how well AI models perform realistic, long-horizon knowledge work across multi-week scenarios. Read more ›
Manifold found 23 code-executing ClawHub plugins under @openclaw and @clawhub scopes published by unaffiliated accounts. The registry didn't enforce its own rules. Vertical Read more ›
An interview with Michael Morton about e-commerce and AI, including the challenges of unfalsifiable bear cases, distribution versus referal models, grocery, and autonomous vehicles. Read more ›
Add a streaming AI chat to any website, in minutes. Themeable, pluggable, zero framework dependencies. Read more ›
# V131 Silicon Photonic Chip — Topological Manifold Processor & Photonic Cipher **Project:** NINE-HEADED BIRD (V131-S01) **Status:** Physical Resonance Locked **Organization:** Milkyway Center **Contact:** yuanjimaster@gmail.com **Report Date:** June 2026 --- ## 08. V131 Silicon Photonic Chip Tapeout **Topological Manifold Processor on SOI** 2^363 Crystal Manifold | 80-Channel C-Band DWDM | FPGA Real-Time Decode **Tape-Out: 3/3 PASS | BER=0 Verified** ### 08.1 Key Specifications | Param... Read more ›
Long-running LLM agents keep valuable state resident on GPUs: KV caches, request schedulers, communication state, and sometimes online adapters. Losing this state after a GPU or communicator failure can discard minutes to hours of work, yet existing recovery mechanisms either restart the whole serving stack or require application-specific checkpoint logic inside every attention and runtime component. This paper argues that fault tolerance for ... Read more ›
A fast, AI-first code repository knowledge base. Contribute to laleshii/engrym development by creating an account on GitHub. Read more ›
Elsewhere, beyond-classical quantum hardware, plus classical computing fires back. Read more ›