Microsoft released 3 new AI models, ramping up competition with its close partner, OpenAI - Business Insider
Microsoft released 3 new AI models, ramping up competition with its close partner, OpenAI Business Insider
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modelreleaseGod Mode is Boring: Musings on Interestingness
(Crossposted from my Substack ) There is a preference that I think most people have, but which is extremely underdescribed. It is underdescribed because it is not very legible. But I believe that once I point it out, you will be able to easily recognize it. In a sense, I am doing something sinful here. A real description of interestingness should probably be done through song, or dance, or poetry. But I lack every artistic talent that would do the job justice. What I can do is analyze systems and write prose. Hopefully at least the LLMs will appreciate it. I am writing this with some anxiety. If it is a small sin to create an analytical post about interestingness, it is a cardinal sin to create a boring analytical post about interestingness. It is impossible to really cage within language,

Asthenosphere
================================================================ ASTHENOSPHERE NPU INFERENCE METRICS Hardware: Device: AMD Phoenix XDNA gen1 (AIE2) Tiles: 12/12 (complete transformer pipeline) Device ID: /dev/accel/accel0 Status: ACTIVE Reliability: 100% Pipeline: PreScale > Q proj > RoPE > Attention > O proj > Attn ResAdd PreScale2 > Gate+SiLU+Up > EltMul > Down > FFN ResAdd > Score Head 14 ops, zero CPU/GPU during NPU compute SESSION AVERAGES (7 messages) Avg tokens/msg: 64.7 Avg elapsed/msg: 83ms Avg eff tok/s: 3866 Avg acceptance: 91.8% Avg cost/msg: 21.3 Motes ALL-TIME AVERAGES (7 messages) Avg tokens/msg: 64.7 Avg elapsed/msg: 83ms Avg eff tok/s: 3866 Avg acceptance: 91.8% Avg cost/msg: 21.3 Motes PER-DISPATCH LOG (7 entries) Time Tokens Dispatches Elapsed Eff tok/s Accept% Motes 16:
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Alex Heath / Sources : Interviews with Codex lead Alexander Embiricos, OpenClaw's Peter Steinberger, and others about OpenAI's upcoming superapp that combines ChatGPT with Codex Why Codex is becoming the foundation for everything. Also: Fidji Simo's internal memo about taking a leave of absence. Paid

Asthenosphere
================================================================ ASTHENOSPHERE NPU INFERENCE METRICS Hardware: Device: AMD Phoenix XDNA gen1 (AIE2) Tiles: 12/12 (complete transformer pipeline) Device ID: /dev/accel/accel0 Status: ACTIVE Reliability: 100% Pipeline: PreScale > Q proj > RoPE > Attention > O proj > Attn ResAdd PreScale2 > Gate+SiLU+Up > EltMul > Down > FFN ResAdd > Score Head 14 ops, zero CPU/GPU during NPU compute SESSION AVERAGES (7 messages) Avg tokens/msg: 64.7 Avg elapsed/msg: 83ms Avg eff tok/s: 3866 Avg acceptance: 91.8% Avg cost/msg: 21.3 Motes ALL-TIME AVERAGES (7 messages) Avg tokens/msg: 64.7 Avg elapsed/msg: 83ms Avg eff tok/s: 3866 Avg acceptance: 91.8% Avg cost/msg: 21.3 Motes PER-DISPATCH LOG (7 entries) Time Tokens Dispatches Elapsed Eff tok/s Accept% Motes 16:



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