Warning: cutting entry-level hiring for AI could trigger an expertise shortage in the 2030s
A NATO Special Operations School researcher frames an AI-driven expertise collapse scenario as a "tragedy of the cognitive commons"
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Tag
reasoning
Qwen3.8 Max praised for knowing what not to build
r/LocalLLaMA reviewer lauds speed, design-review skill, and self-correction, backed by 2.4 trillion parameters and a No. 1 agentic index ranking
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Gemini 3.7 Flash gains 4 intelligence points, cuts response time
Scores 56 on Artificial Analysis Intelligence Index at 1.7 minutes per task — third Flash model in three months
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OpenAI teases GPT-5.6 Sol "Ultrafast mode," up to 14x faster
Rolling out first to select enterprise customers via API, warehouse-layout demo suggests speed gains without quality loss
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DeepSeek-V4-Pro launches officially with three-tier reasoning intensity control
Released via Expert Mode, V4-Pro edges out Opus-4.8 on Terminal Bench
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Upstage's Solar Pro 4 Jumps From 14 to 42 on Intelligence Index
Score triples versus predecessor in Artificial Analysis evaluation, with real-work task Elo climbing from 498 to 1276 to surpass the human baseline
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Grok 4.6 pricing revealed — DeepSeek 4 Pro undercuts it further
$2 per million input tokens, $6 output — cheaper than GPT-5.6 and Claude, but DeepSeek goes even lower
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Musk Teases Grok 4.7 Will "Surpass Every Existing Model"
Musk cites SpaceX's unique training data, expressing confidence in the next model
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DeepSeek-V4-Pro moves to general availability, API pricing revealed
$0.435 input, $0.87 output per million tokens with 1M-token context — cache hits cut costs sharply
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Grok 4.6 scores 61 on Intelligence Index, ties GPT-5.6 while keeping price unchanged
Score jumps 5 points a month after launch, secures second place behind Claude Opus 5 on agentic tasks
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Google Trains Gemini's Clinical Skills Through Simulated Residency
ResidencyRL applies reinforcement learning to Gemini 3.5 Flash using 81 conditions and 50,000 simulated consultations
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Hidden reasoning tokens from Claude, GPT recovered — benchmark memorization suspected
A paper reportedly exposed 100% of the hidden chain-of-thought from closed APIs, reigniting the benchmark reliability debate
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