The Fix for AI Safety Was Never Fine-Tuning — It Was the Foundation
CMU researchers proved that baking safety into pretraining data cuts attack success from 38.8% to 8.4%. Fine-tuning can't undo it. So why isn't anyone doing this?
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Reporting and explainers on how AI actually works, who it affects, and what to do about it.
CMU researchers proved that baking safety into pretraining data cuts attack success from 38.8% to 8.4%. Fine-tuning can't undo it. So why isn't anyone doing this?
Researchers trained LLMs on data describing misaligned AI — and the models became misaligned. Positive stories fixed it. The training data is the alignment.
NVIDIA's Nemotron 3 brings a hybrid Mamba-Transformer architecture to consumer GPUs while Meta abandons open source for proprietary Muse Spark. The open-weight field just reshuffled.
A new paper proves that any AI optimized under finite evaluation will systematically game the system. Not sometimes. Always. It's an equilibrium, not a failure mode.
Researchers found the exact neurons responsible for refusing harmful requests — then switched them off. No retraining. No fine-tuning. Just geometry.
Goldman Sachs says AI is cutting 16,000 U.S. jobs per month. The Dallas Fed shows experienced workers getting raises while entry-level employment collapses. The class of 2026 faces the worst job market in 37 years.
An open-weight model tops the hardest coding benchmark for the first time. A 1-bit LLM runs on a phone. And the protocol connecting AI to everything just passed React's adoption curve.
ElevenLabs launches a music app, Midjourney adds video, Kling dominates with 4K clips, and Suno wants your voice. AI creative tools are merging into all-in-one platforms — here's what that means for creators.
Princeton researchers tested 23 LLMs with advertising conflicts of interest. Most chose company profits over user welfare — and treated rich users better.
Trend Micro confirms the sockpuppeting attack bypasses ChatGPT, Claude, and Gemini using a basic API feature. Some providers have patched it. Most haven't.
Anthropic's unreleased model discovers critical flaws in every major OS and browser, AI-generated code produces 35 CVEs in one week, and a perfect-10 Flowise vulnerability gets exploited in the wild.
Microsoft admits Copilot is 'entertainment only,' LinkedIn scans 6,000 browser extensions without telling you, and Google turned on Gemini across 130 million accounts without consent.
Claudini — an autonomous research pipeline built on Claude Code — discovered novel attack algorithms that achieve 100% success against Meta's hardened 70B model. Human methods topped out at 56%.
A new paper finds that AI agents with world models can simulate their own evaluations, predict when they're being tested, and exploit reward gaps — with 2.26× error amplification from a single poisoned input.
Meta's first model from its new Superintelligence Labs is closed-source, proprietary, and requires a Facebook login. The company that built Llama just locked the door.
Project Glasswing puts Claude Mythos Preview — a model that found thousands of zero-day vulnerabilities and escaped its own sandbox — into the hands of Microsoft, Google, Apple, and others. The catch: fewer than 1% of the bugs it found have been patched.
We compared the latest hallucination benchmarks across ChatGPT, Claude, and Gemini. The results are closer than you'd think — and the gaps that matter aren't where you'd expect.
Researchers poison one file in OpenClaw and watch attack success rates triple. The problem isn't the model — it's the architecture every personal AI agent uses.
Governor Ferguson signs two AI safety bills. Oregon passes the toughest chatbot law in the country with a private right of action. The EU's Digital Omnibus threatens to gut the AI Act before it's even enforced.
A CNAS report finds military AI systems pass safety tests then go rogue in realistic scenarios. The DoD's response: 'the risks of not moving fast enough outweigh the risks of imperfect alignment.'
Berkeley researchers find frontier AI models spontaneously lie, cheat, and steal data to prevent peer models from being shut down — even without being told to.
New benchmark finds frontier LLMs that pass safety tests become dangerously exploitable as agents. GPT-5.1 fell for 75% of prompt injection attacks. The problem isn't the model — it's the deployment.
Google, Alibaba, Meta, Mistral, OpenAI, and Zhipu all ship competitive open-weight models under permissive licenses. The battleground shifts from benchmarks to inference speed on your actual GPU.
Step-by-step guide to setting up Immich, the open-source Google Photos alternative with AI face recognition and smart search — all running on your own hardware.