Tensordyne announces Logarithmic AI compute chips. 17x more tokens per watt and

<!-- 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

<!-- SC_OFF --><div class="md"><p><strong>Cost &amp; Performance Efficiency</strong></p> <ul> <li><strong>Training Cost-Performance (8t):</strong> +170% to +180% gain

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1v2t129/googles_frozen_v2_chip_embeds_gemini_model/"> <img alt="Google's Frozen v2 chip embeds Gemini model

<p>The quadratic attention problem has quietly shaped everything you've built with LLMs. RAG pipelines, agentic decomposition, hybrid architectures — these aren't the natural

<!-- SC_OFF --><div class="md"><ul> <li>OpenAI and Broadcom are teaming up to build <strong>10 gigawatts of custom AI data centers</strong> with their own chips – enough to power

<!-- SC_OFF --><div class="md"><p>Hey I'm 0xcircuitbreaker (CircuitBreaker88), and I'm building a small fine-tuning service around local/open models. I'm looking for 5 pilot

<!-- SC_OFF --><div class="md"><blockquote> <p><em>Skymizer has unveiled a PCIe AI accelerator that challenges both AMD and Nvidia ... using old technology.</em></p> <p><em>The