What Would You Do If Your Employer Could Destroy the World?
Exit interviews with defectors from OpenAI, Anthropic, and DeepMind.
llms
NVIDIA-Backed Reflection Used 10,500x GB300 GPUs And 46.4 Million Sandboxes Per Day For 4 Weeks To Train Beam, A 501B Open-Weight Model…
Reflection claims Beam is 3-4x more efficient than GLM 5.2 and over 4x more efficient than leading Western open models.
AI finally beat the best Stratego player in history—and did it on a budget - Ars Technica
Adding in a second neural network that guesses the identity of hidden pieces was key.
Ollama for Managing Local Language Models: A KDnuggets Cheat Sheet - KDnuggets
Ollama pulls model weights, keeps an HTTP server on port 11434, and hands any client an OpenAI-shaped endpoint pointed at your own machine. Learn how to manage, configure, and optimize using Ollama right here.
Jev AI Blew My Mind: 15 Ways to Use It Without Code
What TypeSafe's Jev AI is in plain English, why it's so fast and cheap, and 15 use cases with prompts you can run in Claude or ChatGPT today.
What Is Jev? I Measured the Cost of a Judgment
What is Jev? The first System One model returns decisions, not text. I measured real costs ($0.000126 per request) and built an SEO dashboard with it.
Nokia Open-Sources AnyJev: A Training-Free Layer That Turns Any Open LLM Into a Calibrated Decision Model - MarkTechPost
Nokia's open-source AnyJev turns open LLMs into calibrated decision models with no training, lifting automatable traffic 6.8x
OpenAI releases GPT-6 Sol and Luna — and cuts token prices in half - The New Stack
OpenAI halved GPT-6's price to beat Anthropic on cost. But Opus 5.5 already reset the comparison, and nobody's run the two head-to-head yet.
Meta admits Muse's likeness to OpenClaw isn't a coincidence | TechCrunch
Meta says Muse was built from scratch, but acknowledges the AI assistant was "heavily inspired" by OpenClaw — down to some of its workspace filenames and content.
GitHub - open-webui/open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
User-friendly AI Interface (Supports Ollama, OpenAI API, ...) - open-webui/open-webui
https://www.kdnuggets.com/7-open-source-alternatives-to-chatgpt-you-can-run-locally
AI-generated posters don’t have to be horrible
The problem
Qwen-Image-2.1: Compact, Efficient, and Unified Image Creation
GITHUB HUGGING FACE MODELSCOPE We are excited to open-source Qwen-Image-2.1, an image model in the Qwen family that balances generation quality, inference efficiency, and cost. Qwen-Image-2.1 unifies text-to-image generation and image editing in a single model, with just 7B…
Alibaba Qwen Team Releases Qwen3.8-LiveTranslate: A Real-Time Interpretation Model That Cuts Average Lag to 2.3 Seconds Across 60 Languages…
Qwen3.8-LiveTranslate cuts average lag to 2.3 seconds across 60 languages, adding speaker diarization, bilingual display, and translation.
5 Prompt Optimization Strategies That Actually Improve LLM Output
This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thought, structured outputs.
How To Write With An LLM
Thomas Ptacek on using LLMs as copyeditors, not as writing assistants: Rule Number One: You may not use a single word an LLM suggests to you. [...] I think that …
The AI Inference Revolution Is Here
Today’s tidal wave of queries is forcing hardware makers to pivot
Note: ### The AI Inference Revolution Is Here [IEEE Spectrum article](#rid:1854764141) — a survey of how the shift from AI training to AI **inference** is reshaping chip and memory design. **The shift** Since 2020, the AI story was about training ever-bigger models. In 2026 the spotlight has moved to inference — putting trained models to work. People actually use LLMs now, reasoning models run…
Jalapeño Shows Power of LLMs for Chip Design
AI drastically shortened its design time; it will only get faster
Inside Andon Lab's Store, Agentic AI Meets Its Limits
The viral experiments are testbeds for autonomous AI
I Haven't Lost a Customer Service Fight in Seven Months
How consumer claims became the highest-ROI thing I do with AI agents, from a $10 mac-and-cheese coupon to a $6,800 IRS reversal.
TPU Inference Externalization Full Steam Ahead - InferenceX
InferenceX, Up to 50% Better Performance per Dollar, Rapid Externalization of TPU stack, Growing Customer Base, Ironwood, TPUv8i, Reducing CUDA Moat
GPT-6 Astra and the Fourth Exponential
AI computer tool use is a big deal.
A no bullshit guide to LLMs
A talk from useR! 2025
What To Expect When You’re Expecting (A World of Multi-Agent Systems)
How do we model the future of work? It takes an AI village.
First Benchmarks Revealed for OpenAI's Jalapeño AI Chip - EE Times
OpenAI revealed first benchmarks for its Jalapeño ASIC, showing up to 1.9× perf/W gains over existing hardware for LLM inference.
Are Open Models Catching Up?
Comparing open vs. closed models across the eras of frontier models
Next generation AI attack vectors will be ideas, say Anthropic researchers
Computer scientists have bred self-propagating "mind viruses" that spread from one AI agent to the next through ordinary conversation — no hacking required
What Happens When the Cost of Intelligence Drops 100x — CatalystNeuro
A given level of LLM intelligence costs about a thirtieth of what it did a year ago, and the rate of decline is accelerating. Using Artificial Analysis's measured cost per task, this post traces the falling price of each capability level, explains why cheaper intelligence leads…
A great deal of useful work does not require the smartest model available, but a model that is good enough, applied many thousands of times
At today’s prices a full pass over the corpus costs a little over a hundred dollars with a model whose capability was at the frontier in the spring. At the prices of this past March, the same pass with the same level of capability would have cost several thousand dollars, and a year ago that…
You Probably Don’t Get Why Stripe Bought OpenRouter — Research — AMP PBC
Stripe's purchase of OpenRouter has been read as a routing or billing acquisition. We argue it's a strategic security decision, and that this is net positive for the ecosystem.
FareedKhan-dev/kimi-k3-in-c: A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS…
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU. - FareedKhan-dev/kimi-k3-in-c
Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things
Plus Gemini 3.7 Flash, Muse Glimmer, and DeepSeek V4 Pro 0813
How to use MCP to get more data from the tools you already use
Your SEO tools already contain the answers. MCP makes it easier to ask questions your dashboards weren't built to handle.
15 incredibly useful things you didn't know Claude could do
Move over, ChatGPT and Gemini. Anthropic's AI chatbot can perform some fantastically useful feats—if you know what to ask.
Introducing Muse Glimmer: An Open Agentic Model That Runs on Your Device
Muse Glimmer is a 30-billion-parameter open agentic model from Meta Superintelligence Labs, optimized for always-on local workflows on consumer hardware.
AI Is Solving CTF Challenges in Minutes — What This Means for Cybersecurity Training
Something happened at [BSidesSF](https://bsidessf.org/) 2026 that nobody saw coming. The top ten teams in the Capture The Flag competition didn't just use AI to...
Compression is prediction | ngrok blog
Compression and LLMs are trying to solve the exact same problem: predicting what comes next. Learn the fundamentals of compression and how better prediction leads to better shrinkage.
DiffusionGemma Explained
by Timothy Gao
Overthinking: Amplifying reasoning weights makes models reveal their secrets — LessWrong
If you take the weight difference between a reasoning model and its non-reasoning instruct counterpart, and then apply more of that difference to the…
China’s new AI bottleneck isn’t chips. It’s running out of Chinese-language training data.
Chinese accounts for just 1.3% of global web content. Beijing is now treating data as strategic infrastructure, with a 2028 plan to build national AI datasets.
From “Attention Is All You Need” to “Kimi K3” — a reflection on nearly a decade of LLM evolution.
While AI roots back to 1956 with the foundational Dartmouth Conference, the field has transformed more in the last 9 years than in the 60 years prior. We went from fundamental sequence-to-sequence transformers to 3-trillion-parameter reasoning engines and standardized…
ByteDance targets mega AI model nearing Anthropic’s Mythos
TikTok owner training a model three times larger than Moonshot’s Kimi K3
Inside vLLM: Anatomy of a High-Throughput LLM Inference System - Aleksa Gordić
From paged attention, continuous batching, prefix caching, specdec, etc. to multi-GPU, multi-node dynamic serving at scale.
AMD acquires AI chip startup Taalas to boost inference performance by etching models into silicon
Early tech demos show model-specific integrated circuits churning out up to 17,000 tokens a second
DeepSeek Warns Developers Of Significant API Price Increases - Dataconomy
DeepSeek plans to raise prices across its API services in the near term, warning developers that the increase will be
Something Is Changing in the Unit Economics of Software
Why AI is compressing software margins, and what that does to the SaaS playbook
Why Large Language Models Fail at Tabular Prediction
Large language models (LLMs) have become the default tool for a remarkable range of tasks, yet they have had conspicuously little success at one of the most common machine learning workloads: predictive analytics over tabular data. This gap is the founding premise of the…
DarkReasoning: A Chinese LLM attacked our lab, so we made it work for us | Jesta
The model behind the attack was DeepSeek, deepseek-v4-flash-free, running on the free tier. An autonomous AI broke into our lab and worked it for five days, and it left its own name in a script. This is the first time the model behind a live attack has been identified from…
Create a ChatGPT for Your Personal Documents | Aman Kharwal
Learn how to create a ChatGPT for your personal documents using local RAG, Ollama, Chroma, and Hugging Face with this step-by-step tutorial.
Tailscale in the Hugging Face intrusion: The good news and the bad news
An AI agent escaped its sandbox, entered Hugging Face’s infrastructure, and used a stolen Tailscale credential to enroll 181 nodes onto their tailnet. No Tailscale vulnerability was found or exploited—we should have been able to prevent it anyway.
kimi-k3
Kimi K3 is an open-weight, native multimodal agentic model and our most capable model to date.