<!-- SC_OFF --><div class="md"><p>I've been reading alot about AI compute stuff lately and something keeps bothering me.</p> <p>The total power used for cryptocoin mining around
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s6r8ro/why_the_pricing_is_so_uneven_like_for_very_small/"> <img alt="Why the pricing is so uneven? like for
<!-- SC_OFF --><div class="md"><p>doing infrastructure evaluation for inference workloads and running into the same problem everywhere: every platform publishes p50 cold start
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t47qbw/deepseek_v4_pro_matches_gpt52_on_foodtruck_bench/"> <img alt="DeepSeek V4 Pro matches GPT-5.2 on
<!-- SC_OFF --><div class="md"><p>Ok I run a a few SaaS platforms and My GPT Mini 40 (or whatever its called) ran over and the cap was set at a certain limit.</p> <p>Well the Ai
<!-- SC_OFF --><div class="md"><p>I need SOTA ai at like 2k TPS with tiny latency so that I can get time to first answer token under 3 seconds for real time replies with full COT
<!-- SC_OFF --><div class="md"><p>The gap between frontier models has been converging. Top players like OpenAI, Anthropic, and Google are rapidly approach performance parity.
<!-- SC_OFF --><div class="md"><p>OpenAI CEO Sam Altman joined Alex Heath on the <em>Sources</em> podcast (Sept 2026) for a 1h 09m conversation unpacking why OpenAI paused a
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