Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
Top Hacker News discussion.
arxiv
Context Window is the daily AI brief for applied AI builders. Subscribe free →
Feature
Qwen3-4B Deslop: Refining AI Writing by Removing Formulaic Habits
A small-scale model trained to write more like humans, reducing AI's reliance on predictable patterns.
Why it mattersQwen3-4B-Deslop shows AI can be trained to write more like humans by removing formulaic habits, challenging developers to rethink AI's role in content creation and its potential for more authentic human-like interactions.
Read full article →Sign up for the daily AI brief
Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
LLM Agent Innovations
Agent Workloads & Costs
Anyone else running into GPU costs and availability with agent workloads? How are you handling inference?
One agent task can mean dozens or hundreds of model calls, so inference costs add up quickly once agents run on their own. On top of that, GPU supply looks tight. Nvidia has said memory/HBM constraints could last throug…
r/AI_Agents
How to create an ai agent that actually does stuff for your team?
Running ops at a 25 person startup and tryingto figure out how, to actually hand off recurring work to AI, not just answering questions, but stuff like following up on things, pulling info from different places, that ki…
r/automation
A Cloud Desktop Computer for your AI Agent
I built Cubicles because I didn't want my agent living on my laptop, with my files, my accounts and my home network. Each agent gets its own full Ubuntu Linux desktop in the cloud, where it can use any app or browser. I…
r/AI_Agents
Tools
NandhaKishorM/laya
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right…
github | stars 33,538
abenzerps/Qwen-Image-2.1-Uncensored-Quantized
Trending AI model on Hugging Face — text-to-image.
🤗huggingface
anywhere-labs/dsh-desktop
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」，桌面本身也是「插件」。
github | stars 31,758
Build
Ontology-Driven Observability: Building an End-to-End Knowledge Graph at Netflix
Top Hacker News discussion.
netflixtechblog
Research
DLite: History-free Speculative Decoding for Agentic AI
Speculative decoding has become a mainstream technique for accelerating large language model (LLM) inference by using a lightweight draft model to generate candidate tokens that are subsequently verified by the target m…
arxiv
DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery
Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and constraints. Here we introduce DrugHarness, an evolvable agent harness coupling composable scientific exec…
arxiv
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
Designing RNA sequences that reliably fold into specific secondary structures is essential for understanding their biological functions but remains a challenging computational problem. We propose CocoRNA, a cooperative…
arxiv
Playbooks
How Numan Built an Eval-First AI Health Coach with LangGraph and LangSmith
How Numan built Nu, an AI health coach, on LangGraph and LangSmith with per-category evals, simulated conversations, and safety gates on a regulatory line.
langchain
Native memory for Microsoft Agent Framework with Azure Cosmos DB
Agents are more useful when they can remember what matters beyond the current conversation. Today, we’re announcing a new preview integration that gives Microsoft Agent Framework agents durable, cross-session memory bac…
devblogs.microsoft
Harness design for long-running application development
Harness design is key to performance at the frontier of agentic coding. Here's how we pushed Claude further in frontend design and long-running autonomous software engineering.
anthropic
News
How Deepgram optimized voice AI at scale with AWS Trainium
Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack, kernel-level tuning,…
aws.amazon
Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM
vLLM's prefill-decode disaggregation splits LLM inference across engine instances but must transfer the KV cache between them. This post introduces a push-based NIXL connector that moves transfer coordination off the cr…
aws.amazon
AI Can Write the Code. Who Verifies It?
AI coding agents write code faster than teams can review it. Here are the automated checks to run at each stage, from pre-commit to production, and the multi-agent review workflow I use.
mihaisplace