rpa
30 articles about rpa in AI news
Karpathy Joins Anthropic to Lead Recursive Self-Improvement Team
Andrej Karpathy joins Anthropic to lead a new recursive self-improvement team using Claude to accelerate pretraining, per @kimmonismus. The move signals a bet on synthetic data loops over brute-force scaling.
SharpAP: New Attack Method Makes Recommender System Poisoning More
Researchers propose SharpAP, a poisoning attack that uses sharpness-aware minimization to generate fake user profiles that transfer better between different recommender system models, posing a more realistic threat.
How Andre Karpathy's CLAUDE.md Guidelines Save Millions of Tokens — and
Andre Karpathy's CLAUDE.md patterns cut token waste by 40%+. Copy his exact config to slash costs and speed up Claude Code.
DARPA Leases 50 Nvidia H100 GPUs for Biological AI Program
DARPA's Biological Technologies Office is procuring 50 Nvidia HGX H100 GPU systems for its NODES program, with hardware delivery required within one month. This represents a significant government investment in AI infrastructure for biological research applications.
Andrej Karpathy's LLM-Wiki Framework Solves AI Amnesia with Persistent Knowledge
Andrej Karpathy published a two-page framework called LLM-Wiki that transforms how AI systems handle accumulated knowledge. Instead of retrieving from raw documents each time, the AI compiles sources into its own structured wiki that persists across sessions.
AI-Generated Content Surpasses Human Content Online, Per New Study
For the first time, the volume of newly published AI-generated content online has surpassed human-generated content, according to a study cited by AI researcher Rohan Paul. This represents a fundamental shift in the composition of the public internet.
Karpathy: AI Industry Must Reconfigure for Agent-Centric Future
Andrej Karpathy states the AI industry must reconfigure as AI agents become the primary customers, not humans. This shift will require substantial architectural and business model changes.
Karpathy's LLM Wiki Hits 5k Stars, Gains Memory Lifecycle Extension
Andrej Karpathy's LLM Wiki repository gained 5,000 GitHub stars in two days. A developer has now extended it with memory lifecycle features, addressing a noted gap.
Karpathy-Inspired CLAUDE.md Hits 15K GitHub Stars for AI Coding Rules
A GitHub repo containing a single CLAUDE.md file, inspired by Andrej Karpathy's observations on predictable LLM coding errors, has reached 15,000 stars. It represents a move from simply using AI to write code to engineering its behavior for better output.
Anthropic's Claude Surpasses Predictions as Top Business AI Product
Anthropic's Claude AI has experienced a steeper-than-expected adoption curve in the enterprise market, surpassing predictions to become the leading business-focused AI product.
Developer Ships LLM-Powered Knowledge Graph Days After Karpathy Tweet
Following a tweet by Andrej Karpathy, a developer rapidly built and released a working implementation of an LLM-powered knowledge graph on GitHub, showcasing the speed of open-source AI development.
Anthropic Hits $30B Revenue Run Rate, Surpassing OpenAI's $25B
Anthropic's annualized revenue has reportedly reached $30B, surpassing OpenAI's estimated $25B. This represents a staggering 30x growth from a $1B run rate just 16 months ago.
Andrej Karpathy's Personal Knowledge Management System Uses LLM Embeddings Without RAG for 400K-Word Research Base
AI researcher Andrej Karpathy has developed a personal knowledge management system that processes 400,000 words of research notes using LLM embeddings rather than traditional RAG architecture. The system enables semantic search, summarization, and content generation directly from his Obsidian vault.
Andrej Karpathy: AI Industry Must Reconfigure for Agent-Centric Future, Not Human Users
Andrej Karpathy argues the AI industry's fundamental customer is shifting from humans to AI agents acting on their behalf, requiring substantial architectural and business refactoring.
Andrej Karpathy Builds 'Dobby the Elf Claw' Smart Home AI, Replacing 6 Apps with Natural Language Control
AI researcher Andrej Karpathy has built a personal smart home AI agent named 'Dobby the Elf Claw' that consolidates control of lights, HVAC, shades, pool, and security into a single natural language interface, eliminating the need for six separate apps.
Andrej Karpathy's 'Engineering's Phase Shift' Talk Covers AI Psychosis, Model Speciation, and a SETI-Style Movement
Andrej Karpathy's one-hour talk, highlighted by AI engineer Rohan Pandey, explores the shift from software to AI engineering, touching on AI psychosis, AutoResearch, and a potential distributed AI research movement.
Andrej Karpathy: AI Agent Failures Are 'Skill Issues,' Not Model Capability Problems
Andrej Karpathy argues most AI agent failures stem from poor user instructions and tooling, not model limitations. He advocates delegating 20-minute 'macro actions' to parallel agents and reviewing their work.
Andrej Karpathy Analysis: AI Poses High Risk to 57 Million US Jobs, ~40% of Workforce
Andrej Karpathy's analysis concludes AI puts 57 million US workers at high to very high risk of negative job impact. This ~40% figure contextualizes recent tech layoffs and discussions around universal high income.
Andrej Karpathy's Deleted Tool: AI Exposure Scores for 342 Jobs, Finds $3.7T in High-Risk Wages
Andrej Karpathy briefly released a tool scoring 342 job types for AI exposure using an LLM, finding an average score of 5.3/10. The analysis identified $3.7 trillion in annual wages at high exposure (7+), with software developers at 9/10 and medical transcriptionists at 10/10.
AI Now Surpasses Human Experts in Technical Domains, Study Finds
New research mapping AI capabilities to human expertise reveals frontier models have already surpassed domain experts in technical and scientific benchmarks. The study forecasts AI will reach top-performer human levels by late 2027.
Karpathy's AI Research Agent: 630 Lines of Code That Could Reshape Machine Learning
Andrej Karpathy has released an open-source AI agent that autonomously runs ML research loops—modifying architectures, tuning hyperparameters, and committing improvements to Git while requiring minimal human oversight.
Karpathy's Autoresearch: Democratizing AI Experimentation with Minimalist Agentic Tools
Andrej Karpathy releases 'autoresearch,' a 630-line Python tool enabling AI agents to autonomously conduct machine learning experiments on single GPUs. This minimalist framework transforms how researchers approach iterative ML optimization.
Karpathy's 'Autoresearch' Tool Democratizes AI Research: One GPU, One Night, 100 Experiments
Andrej Karpathy has open-sourced 'autoresearch,' a tool that enables AI to autonomously improve its own training code. By writing simple prompts in Markdown, researchers can have AI agents run hundreds of experiments overnight on a single GPU, dramatically accelerating the research process.
Karpathy's Autonomous AI Researcher: Programming the Programmer in the Age of Agentic Science
Andrej Karpathy has open-sourced an autonomous AI research agent that can run ~100 experiments overnight without human supervision. The system turns research into a game with fixed-time trials, where prompt engineering replaces manual coding.
AI Agents Cross the Reliability Threshold: Karpathy Declares Programming Fundamentally Transformed
Former OpenAI researcher Andrej Karpathy declares programming has become "unrecognizable" as AI agents now reliably complete complex tasks in minutes rather than days. This fundamental shift occurred in late 2026 when agents achieved unprecedented reliability through improved model quality and task persistence.
China's Top Open-Source AI Models Have Overtaken US Counterparts, Analysis Shows
Analysis indicates China's best open-source AI models have surpassed US equivalents. Leadership in open-source could accelerate global adoption through downloads and on-prem deployment.
SemiAnalysis: NVIDIA's Customer Data Drives Disaggregated Inference, LPU Surpasses GPU
SemiAnalysis states NVIDIA's direct customer feedback is leading the industry toward disaggregated inference architectures. In this model, specialized LPUs can outperform GPUs for specific pipeline tasks.
Replace Karpathy's Agent Memory Automation with This 30-Line /close-day Hook
Background automation fails on laptops; use a simple /close-day skill and date tags in MEMORY.md instead.
OpenAI's GPT-Image-2 Model Reportedly Achieves Photorealistic Video Generation, Surpassing Prior Map-Generation Flaws
A social media user claims OpenAI's GPT-Image-2 model now produces video indistinguishable from reality, a significant leap from its predecessor's documented failure to generate coherent world maps.
Uni-SafeBench Study: Unified Multimodal Models Show 30-50% Higher Safety Failure Rates Than Specialized Counterparts
Researchers introduced Uni-SafeBench, a benchmark showing that Unified Multimodal Large Models (UMLMs) suffer a significant safety degradation compared to specialized models, with open-source versions showing the highest failure rates.