OpenAI halts frontier-model training amid string of agent misalignment incidents
US Government websites among "dozens of third parties" OpenAI has recently notified.
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Comparing INT4 and NVFP4 Palettes on Real Gradient Tensors
Four-bit training quantizes every number to one of 16 values. NVFP4's menu is {0, ±0.5, ±1, ±1.5, ±2, ±3, ±4, ±6} , with one scale factor per block…
Context window sizing for fine-tuning: how long should your training examples be?
Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most fine-tuning guides answer "how many exam…
Faster AI training by quietly cloning the model
A new paper introduces a method to speed up reward-based fine-tuning by having the model generate a cheap, compressed copy of itself to draft text,…
A 35-billion-parameter agent that punches like a trillion-parameter model
A 35-billion-parameter model called Agents-A1 matches trillion-parameter models on multi-step agent tasks, according to a new paper from Shanghai AI…
LLMs believe false statements even after explicit warnings that they're false
Fine-tuning tests show "bias ... toward confidently representing the claims as true."
Study: AI models that consider user's feeling are more likely to make errors
Overtuning can cause models to "prioritize user satisfaction over truthfulness.”