Unsafe Agents, Rising AI Tides, and Training Traps
Three new papers on agent prompt injection attack rates, MIT's broad-based AI automation finding, and a silent normalization-optimizer coupling failure in LLM training.
Ai training
Fine-Tuning Costs Comparison - Train Your Own AI
Side-by-side fine-tuning costs for OpenAI, Google, Together AI, Fireworks, Mistral, and self-hosted GPU options with LoRA vs full training breakdowns.
What Is Fine-Tuning? Customizing AI Models Explained
Fine-tuning trains a pre-built AI model on your own data so it learns your specific task, tone, or domain - here is how it works, what it costs, and when to use it.
Anthropic Puts $100M Behind Claude Certification Program
Anthropic launched the Claude Certified Architect exam and invested $100M in its Partner Network - free for the first 5,000 partner employees, $99 after. Accenture is training 30,000 people.
Mistral Forge Puts Enterprise AI Inside Your Firewall
Mistral's new Forge platform lets enterprises train frontier-grade AI models entirely on proprietary data, without sending any of it to a third party.
Thinking Machines Lands Gigawatt Compute from Nvidia
Nvidia commits a gigawatt of Vera Rubin chips to Mira Murati's startup, a supply the FT values at tens of billions of dollars, alongside an undisclosed cash investment.
16 Open-Source RL Libraries, One Shared GPU Bottleneck
A Hugging Face survey of 16 open-source reinforcement learning libraries finds the entire ecosystem has converged on async disaggregated training to fix a single brutal bottleneck: GPU idle time during long rollouts.
AGI in 2026? Andrew Ng Has Some Bad News for Musk
Andrew Ng says AGI is decades away and the real AI bubble risk is in the training layer - not inference. We examine both claims against the data.
OpenAI's Head of Post-Training Max Schwarzer Joins Anthropic
Max Schwarzer, VP of Research and Head of Post-Training at OpenAI, leaves after a year leading the team that shipped GPT-5, 5.1, 5.2, and 5.3-Codex to return to RL research at Anthropic.
NVIDIA Rubin R200 - Next-Gen AI Superchip
Complete specs, benchmarks, and analysis of the NVIDIA Rubin R200 GPU - the post-Blackwell flagship with 288GB HBM4, 22 TB/s bandwidth, and 50 PFLOPS FP4.
AWS Trainium2 - Amazon's Cloud Training Chip
AWS Trainium2 is Amazon's second-generation custom AI training chip, powering EC2 Trn2 instances with 96GB HBM2e per chip and tight integration with the AWS Neuron SDK and SageMaker ecosystem.
Cerebras WSE-3 - The Wafer-Scale AI Engine
The Cerebras Wafer-Scale Engine 3 is the largest chip ever built - an entire TSMC 5nm wafer with 900,000 AI cores, 44GB of on-chip SRAM, and 21 PB/s of memory bandwidth powering the CS-3 AI supercomputer.
