#Autonomous
Curated coverage on «Autonomous»: releases, research, benchmarks, open-source.
Жемал Хамидун · Авторская колонкаA ~/.claude Architecture With 200+ Skills: Keeping the System Prompt Under 50K Tokens and Paying $0.15 Per Session
Жемал Хамидун · Авторская колонкаWhy We Threw Out 70% of a Corporate Knowledge Base Without Writing a Single Line of Code: The Engineering Anatomy of Enterprise RAG
Жемал Хамидун · Авторская колонкаThe Klarna Lesson and 78,557 Laid Off in a Quarter: Why Rebuilding Teams With AI Beats Cutting Them
Жемал Хамидун · Авторская колонка33 AI agents on one image with no core patches: where the line between code and model sits
Жемал Хамидун · Авторская колонкаNarrow AI Agent vs. Universal Swiss Army Knife: How We Cut Response Latency from 17 to 7.7 Seconds
Жемал Хамидун · Авторская колонкаFive-Layer Immutable Memory for an AI Agent: Why One Vector Database Is Never Enough
Жемал Хамидун · Авторская колонкаVector Search vs. Knowledge Graph: What It Really Costs to Build and Maintain a GraphRAG
Жемал Хамидун · Авторская колонкаThe AI development paradox: why greenfield coding speeds up 55% while mature codebases slow down 19%
Why We Threw Out 70% of a Corporate Knowledge Base Without Writing a Single Line of Code: The Engineering Anatomy of Enterprise RAG
The Klarna Lesson and 78,557 Laid Off in a Quarter: Why Rebuilding Teams With AI Beats Cutting Them
33 AI agents on one image with no core patches: where the line between code and model sits
Narrow AI Agent vs. Universal Swiss Army Knife: How We Cut Response Latency from 17 to 7.7 Seconds
Replacing a universal tool profile with a narrow specialized plugin, combined with disabling environment probes and an unnecessary reasoning step, compressed the…
Five-Layer Immutable Memory for an AI Agent: Why One Vector Database Is Never Enough
Trying to store an AI agent's entire long-term memory in a single vector index fails, because exact word search, semantic similarity, multi-hop relationship…
Vector Search vs. Knowledge Graph: What It Really Costs to Build and Maintain a GraphRAG
Vector RAG solves the similar-fragment lookup problem ("find where X was mentioned"), while a knowledge graph is needed for multi-hop relationship questions and…
16 Requests, 262 Checks, 6.5 Minutes: Three Autonomous AI Agents Solve One Business Task Live
Why 80% of Vibe-Coding Newcomers Get Stuck Before Writing a Single Line of Code — and How We Removed That Barrier
Claude Cowork's File Autopilot: Three Examples of Hours Saved
The 'Verify Before You Refuse' Rule: How to Stop an AI Agent From Giving Up at the First Error
OSGym: A New Framework for Training AI Agents at Scale on the Cheap
OSGym is an infrastructure framework that runs thousands of virtual environments for training AI to operate a computer, at roughly the price of a cup of coffee per…
Meta Unveils Muse Spark: A Multimodal AI Model With Visual Reasoning
Meta Superintelligence Labs has introduced Muse Spark, the first AI model in a new family. It supports visual chain of thought and works with parallel…
Three AI Inflection Points: From ChatGPT to Agents and Physical Intelligence
Google Ads Adds New AI Safety Features to Ads Advisor
Project Maven: How Pentagon Skeptics Became Champions of Military AI
Norwegian Stendr raises $5.4M for AI systems protecting Europe from drones
OpenAI moves into US military systems, while xAI faces lawsuit over Grok and teen imagery
OpenAI is preparing its models for classified Pentagon systems, while xAI faces a lawsuit over Grok, which plaintiffs claim was used to create illegal sexualized…
OpenAI could enter U.S. military systems against Iran — from target selection to drone defense
After the Pentagon deal, OpenAI technologies could appear in the conflict around Iran — from strike prioritization to counter-drone defense and GenAI.mil.