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vllm.ai · 2026-10-16 · Ranked: agent match · practitioner analysis · fresh 0.98 · score 2.43

Scaling Kimi K3 on AMD Instinct MI355X: Matching NVIDIA HGX B300 Throughput per GPU on AgentX

Inside the Kimi K3 optimization effort: understanding the bottlenecks and the decisions that made inference faster Context & related coverage →

langchain.com · 2026-10-15 · Ranked: agent + eval match · practitioner analysis · fresh 0.93 · score 2.38

The Most Common Questions About Agent Evals, Answered

Where to start with agent evals, offline vs online evals, evaluator types, LLM judges, benchmarks with Harbor, multi-turn evals, and keeping costs down. Context & related coverage →

arxiv.org · 2026-10-15 · Ranked: agent + eval match · research watch · fresh 0.90 · score 2.34

OPRD: On-Policy Reminder Distillation for Long-Horizon Coding Agents

Reliable repository-level coding requires agents not only to generate correct code but also to preserve constraints and respond to tool feedback across long interactions. However, our diagnostic analysis shows that ag... Context & related coverage →

arxiv.org · 2026-10-15 · Ranked: evaluation match · research watch · fresh 0.91 · score 2.31

Qwen-Audio-Jev: A Unified Interface for Audio Decisions

Large audio language models (LALMs) have made substantial progress in audio understanding. However, in high-throughput applications requiring frequent selection, judgment, and scoring, autoregressive text generation i... Context & related coverage →

simonwillison.net · 2026-10-15 · Ranked: claude code match · practitioner analysis · fresh 0.94 · score 2.09

Chirp Pong

Tool: Chirp Pong Another game experiment - I wanted to see if it was feasible to have a two player game on two separate phones running in static HTML where the networking code uses chirps sent via the microphone. It s... Context & related coverage →

infoq.com · 2026-10-15 · Ranked: agentic match · practitioner analysis · fresh 0.86 · score 1.98

Presentation: What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents

Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder... Context & related coverage →

langchain.com · 2026-10-15 · Ranked: agent match · practitioner analysis · fresh 0.91 · score 1.97

October 2026 LangChain Newsletter: Everything we shipped at Interrupt NYC & London

What we shipped at Interrupt NYC and London: LangSmith AI Search, Engine v2, Trajectories, Custom Apps, Fine-Tuning, and Managed Deep Agents v0.9. Context & related coverage →

arxiv.org · 2026-10-15 · Ranked: agentic match · research watch · fresh 0.89 · score 1.97

Memorilla: Latent Semantic Memory for LLMs

Memory enables large language models (LLMs) to use information beyond their parameters, such as past user conversations, long documents, or an agent's earlier actions. For a frozen LLM, access to this accumulated know... Context & related coverage →

BigGo Finance · 2026-10-15 · Ranked: community signal · fresh 0.97 · score 1.96 · Context

17-Year-Old AI Researcher Nathan Chen Departs Moonshot AI; AttnRes Architecture Lives On in Kimi K3

huggingface.co · 2026-10-16 · Ranked: research watch · fresh 1.00 · score 1.86 · Context

Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

simonwillison.net · 2026-10-15 · Ranked: practitioner analysis · fresh 0.88 · score 1.77

Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO

Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO The phrase "told investors" appears four times in this FT article, which reports on Anthropic's day of hosting investors on Wednesday.... Context & related coverage →

anthropic.com · 2026-10-15 · Ranked: eval match · frontier lab · fresh 0.88 · score 1.77

Anthropic update on independent evaluators

Anthropic announces updates to embedding independent evaluators Context & related coverage →