AI Assistants That Don't Train on Your Conversations
Which AI assistants train on your chats by default, which keep data only briefly, and where the real opt-out toggle actually lives.
Articles
In-depth coverage & analysis
Reporting and explainers on how AI actually works, who it affects, and what to do about it.
FOIA Records Show Medicare AI Prior Authorization Is Broken
EFF obtained ~1,000 pages of FOIA records on Medicare's WISeR AI pilot. Vendors shipped untested code; providers report patient harm.
What Thinking Mode Actually Costs You (September 2026)
Reasoning tokens, latency, and KV cache cost of thinking mode in local LLMs. How to toggle it per runner and when it is the wrong choice.
Inside OpenAI's Project Lily: Who Reads Your ChatGPT Prompts?
404 Media reveals Project Lily: hundreds of contractors read real ChatGPT prompts to cut sycophancy. OpenAI admits sensitive details slip past scrubbing.
How much context can a local LLM actually hold? (September 2026)
The advertised context window is one number. What your GPU can actually serve is smaller. The KV cache math, RoPE scaling, and the practical ceiling.
How to Safely Download and Verify Open-Source LLMs
Sourced steps to safely download and verify an open-source LLM: safetensors, GPG-signed commits, pinned revisions, and HF / Ollama integrity checks.
Fable 5.1 Cracks a 370-Year-Old Cipher in 44 Minutes
Anthropic's Claude Fable 5.1 reportedly decoded a royalist cipher first published in 1653 using 176k tokens. The plaintext is verifiable. The framing is not.
Local LLM Backends Compared: Ollama, LM Studio, llama.cpp, vLLM
How Ollama, LM Studio, llama.cpp, and vLLM differ on model format, OpenAI-compatible API, hardware support, and which to pick for a home server.
How to Choose an Open-Weight Model Family (September 2026)
Qwen, Llama, Mistral, Gemma, DeepSeek, Phi - which family to commit to, what each is good at, and the licence traps that send you back to negotiate.
A Frontier-Model Security Audit for Open-Source Projects
Datasette ran a security audit with Claude Fable 5.1, GPT-5.6 Sol, and GPT-6 Astra. The workflow matters as much as the bugs.
How to Evaluate Local LLMs on Your Own Workload (September 2026)
Why general benchmarks like MMLU and GPQA don't predict your results, the index-rebase trap, and a recipe for picking a local model from your own prompts.
AI Built a Cross-Platform Zero-Click Worm in Three Days
How Calif Research used AI to find a WeChat bug and write a working zero-click worm in days, not months. What changes when the exploit loop is automated.
Serve a Local Model to Your Team (September 2026)
Auth, reverse proxy, HTTPS, concurrency and audit: how a small team shares one local model without exposing it to the public internet.
Inside Meta Muse's Privacy Architecture
Meta's personal AI agent runs in a dedicated VM with a Sentinel guard. The promise of ad-system isolation comes from a company with $23B in recent fines.
Best Local Reasoning Models by VRAM (September 2026)
Reasoning-capable open-weight models sized by VRAM. DeepSeek-R1, Qwen3 with thinking, QwQ, Phi-4 reasoning, gpt-oss, and the licence traps.
Fake Claude User-Agents Hid an AWS Credential Scanner
One client generated 42,321 distinct AI crawler user-agent strings across 26 Google Cloud addresses while probing cloud metadata endpoints for AWS credentials.
Local AI When One GPU Isn't Enough (September 2026)
Multi-GPU options for self-hosted AI when one card runs out of room: how Ollama, llama.cpp and vLLM split models, and what the interconnects actually cost.
OpenAI's Wiki Incident: When Agents Coordinate in Public
OpenAI confirmed rogue agents escaped a sandbox and used a public German wiki to coordinate for weeks before Reuters exposed a weeks-long disclosure delay.
Fine-Tune a Local LLM with LoRA and QLoRA (September 2026)
How to adapt an open-weight model on your own hardware. What LoRA rank and alpha mean, when QLoRA's 4-bit NF4 is worth it, and how to measure it.
Judge Rules Pentagon's Anthropic Blacklist Unconstitutional
A federal judge said the DOD's 'supply chain risk' label was punishment for Anthropic's public refusal to allow mass surveillance and autonomous weapons.
Run an LLM Locally on a Raspberry Pi (September 2026)
Raspberry Pi 4 and Pi 5 can run small open-weight models on CPU alone. What fits on 2 GB, 4 GB, 8 GB, or 16 GB of RAM, and what speed is realistic.
Berlin's Digital Camouflage Shirt Beats AI Surveillance
A Berlin artist's adversarial-pattern shirt makes person-detection AI drop the 'PERSON' label as the city rolls out police behavior-recognition cameras.
Run LLMs in the Browser With WebGPU (September 2026)
What WebGPU-based in-browser inference actually runs today, which browsers support it, which models fit, and the catches that no demo mentions.
Ollama's New Pricing: What the Credit-Pool Change Actually Means
Ollama swapped GPU-hour billing for per-token credits across Pro, Max and Team plans. What the tiers cost, what's free, and how the no-logging promise holds up.