OpenAI o4-proto-6 enables 96-hour autonomous ML model fine-tuning and deployment loop
[AI-NEWS]
Date: 2026-02-28
Content : o4-proto-6 autonomously runs a 96-hour ML pipeline: dataset curation → model selection → hyperparameter search → fine-tuning → evaluation → deployment artifact generation, achieving 96% success on internal benchmark for novel NLP tasks from text description alone.
Keywords : autonomous ML pipeline, fine-tuning loop, o4-proto-6, hyperparameter search, end-to-end deployment
new
Mistral Mathstral Large 2.1 reaches SOTA on advanced symbolic math and proof verification
Anthropic Claude 5.2 Opus executes 28-day autonomous materials science simulation campaign
xAI Grok-6.1 adds native 4D spatiotemporal reasoning for video + sensor fusion
Google DeepMind AlphaZero 4 masters quantum circuit optimization for fault-tolerant computing
OpenAI o4-proto-6 enables 96-hour autonomous ML model fine-tuning and deployment loop
Mistral Pixtral Large 2.5 reaches SOTA open multimodal reasoning on MMMU-Pro and MathVista-Hard
Anthropic Claude 5 Sonnet demonstrates 14-day autonomous scientific literature review + hypothesis generation
xAI Grok-5.1 integrates real-time multi-agent debate for improved truthfulness and calibration
Google DeepMind AlphaFold 4 predicts all known protein complexes with near-experimental accuracy
OpenAI o4-proto-4 achieves 82% autonomous resolution on full SWE-Bench Verified + Multi-File