ExploreRepair agents patch vulnerabilities without full bug details
On PatchEval it scores 39.6% with GPT-5.6-Luna and 71.6% with DeepSeek-V4.1-Flash, above EvoRepair by 16.0 and 25.4 points.
On PatchEval it scores 39.6% with GPT-5.6-Luna and 71.6% with DeepSeek-V4.1-Flash, above EvoRepair by 16.0 and 25.4 points.
Four-bit tables saved about 75% of table memory on models trained from scratch while keeping over 99% of the validation-loss gain.
Microsoft says the group tried more than 2,250 tenants at about 2,900 sign-ins a minute.
Jump host 38.244.50.120 routed connections to targets while ARTEX requested DeepSeek through an unverified gateway.
The ban covers Hangzhou DeepSeek technology and third-party tools built on it, with written CISA exemptions possible.
The feed contained only the headline; license, hardware targets, and release notes were not in the text.
Guidance covers 30 risk types, unsigned model files, and backdoors that behavioral tests may miss.
OpenAI's GPT-6-Astra solved 49 of 50 routine theoretical-physics problems at about $2.40 each.
Claude Opus 5 and GPT-6 Sol reach only 64.0% and 61.3% strict success on 50 payment tasks.
AgenticBBO-Bench compares LLM agents on black-box optimization across five domains, with GPT-6 Astra on the cost-performance frontier.
A commentary says Western labs adopted DeepSeek KV-cache optimizations and cut cache-read prices.
DeepSeek-V4.1 Flash is a 552B-parameter multimodal MoE model with 1M-token context achieving 4x KV cache compression for long-horizon agent workloads.
DeepSeek releases V4.1-Flash, a 552B-parameter multimodal MoE with 1M-token context and 890-byte-per-token KV cache for cheaper agentic workloads; weights on Hugging Face.
DeepSeek released open-weight V4.1-Flash, a 552B MoE model with 1M context and FP4 KV cache, beating Opus-5 and GPT-5.6 Sol on agent benchmarks.
DeepSeek releases DeepSeek-V4.1-Flash, a 552B-parameter multimodal MoE model with 1M-token context and KV cache cut to 890 bytes per token.
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