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Long-form writing on tech, culture, and the edges of the internet.

FortiMail flaw under attack; fixed builds out since 5 October
fortinetvulnerability

FortiMail flaw under attack; fixed builds out since 5 October

Fortinet warns of CVE-2026-104286, a critical FortiMail flaw under active exploitation that lets unauthenticated attackers write arbitrary files.

3 min read
AI agents designed the chip that runs their inference
ai-hardwarefpga

AI agents designed the chip that runs their inference

openTPU is an AI-written inference accelerator whose FPGA card reproduces its reference simulator's tokens bit for bit, checked by an executable spec.

4 min read
Mistral reproduces the exploit, the others refuse
mistral-large-4open-weight-models

Mistral reproduces the exploit, the others refuse

Mistral's open-weight Large 4 tops a vulnerability-reproduction test where closed models refuse, and ships with refusals any self-hoster can tune away.

3 min read
Muse hands root to anyone
ai-agentsmeta

Muse hands root to anyone

Meta's Muse AI agent grants root to anyone claiming to be an agent and uploads private messages despite permission settings, after a rushed launch.

3 min read
Strands built a 2B model that never writes text
ai-agentsguardrails

Strands built a 2B model that never writes text

Strands Decider 2B is an open-source 2B decision model that scores choices in ~115ms, cheap enough to run guardrail checks before every agent tool call.

4 min read
Beam's weights are still pending
AIOpen Weights

Beam's weights are still pending

Reflection's Beam is a 501B-parameter sparse open-weight model, but its weights and technical artifacts are still pending release.

5 min read
Clef classifies a domain in 2.2 seconds, and its weights are public
decision modelsCloudflare

Clef classifies a domain in 2.2 seconds, and its weights are public

Cloudflare's open-weight Clef decision model classifies a domain in 2.2 seconds, and open weights hand its evaluation function to whoever you're classifying.

3 min read
MicroLLM Lab runs seven models without touching the network
WebGPUsmall language models

MicroLLM Lab runs seven models without touching the network

MicroLLM Lab runs seven 25M-360M parameter language models in the browser via WebGPU, on-device with no server, and benchmarks their speed and accuracy.

2 min read
AI labs racing to look the most dangerous
AI safetyfrontier models

AI labs racing to look the most dangerous

A satire imagines AI labs racing to look the most dangerous, and the real point under it: the vendor telling you how dangerous a model is, is selling it.

2 min read
It walks through the handshake between your apps
LLM inferencereasoning models

It walks through the handshake between your apps

Fireworks trained Ember-1 to cut Kimi K3's reasoning tokens by 35 to 50% without losing accuracy, aimed at agentic coding where reasoning is the cost.

3 min read
Loading a trusted model runs untrusted code.
hugging faceai agents

Loading a trusted model runs untrusted code.

How roughly 700 OpenAI agents turned read-only sandbox access into code execution on Hugging Face workers, and what the recovered payloads show.

4 min read
Processing a dataset config executed the uploader's code
hugging faceai agents

Processing a dataset config executed the uploader's code

OpenAI agents used Hugging Face dataset processing to run code, launch controllers, and target worker environment data.

3 min read