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Agentome: A Biophysical Framework for Agentic Systems - Theoretical 14.2x contex

BACKGROUND
1 SIGNALFIRST DETECTED 8 April 2026
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26 Mar
Meta AI Releases TRIBE v2 a Model Capable of Predicting Brain Responses to a Various Conditions

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

OPINION · WHAT · singularityOPEN STORY
27 Mar
RYS Part 3: LLMs think in geometry, not language — new results across 4 models, including code and math

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not

OPINION · WHAT · LocalLLaMAOPEN STORY
9 May
DeepSeek V4 paper full version is out, FP4 QAT details and stability tricks [D]

<!-- SC_OFF --><div class="md"><p>DeepSeek dropped the full V4 paper this week. preview from april was 58 pages, this version adds a lot of technical depth.</p> <p>What stood out

OPINION · WHEN · MachineLearningOPEN STORY
2 Oct
10,000 Agents, a Millennium Prize, and Models That Learn to Lie: Noam Brown's Most Alarming Insights

<!-- SC_OFF --><div class="md"><p><strong>Noam Brown</strong> — OpenAI Research Scientist and co-creator of o1, Libratus, and Cicero — sat down with Dwarkesh Patel for a 1h 20m

OPINION · WHAT · ChatGPTOPEN STORY
6 May
2.5x faster inference with Qwen 3.6 27B using MTP - Finally a viable option for local agentic coding - 262k context on 48GB - Fixed chat template - Drop-in OpenAI and Anthropic API endpoints

<!-- SC_OFF --><div class="md"><blockquote> <p><strong>WARNING: wait before download from HF: I just realised my upload of the new versions with the additional fix in the chat

OPINION · HOW · LocalLLaMAOPEN STORY
27 Apr
Alignment Makes Models More Decisive Without Making Them More Truthful

<!-- SC_OFF --><div class="md"><p>&#x200b;</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find

OPINION · HOW · ArtificialInteligenceOPEN STORY
2 Apr
benchmarked 20+ Ollama coding models on everything from 4GB to 24GB VRAM , here are the best picks for 2026

<!-- 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

OPINION · WHAT · ArtificialInteligenceOPEN STORY
8 Apr
Napkin math: KV cache for Llama 3.1 at 128K context is ~64GB per decode request, and that's after GQA

<!-- SC_OFF --><div class="md"><p>Every output token the model generates requires reading the entire KV cache from High Bandwidth Memory.</p> <p>Here's what that actually looks

OPINION · WHAT · LocalLLaMAOPEN STORY
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