#task planning
2336 related articles
·2 min
HyperProbe: How a Read-Only AI Agent Is Revolutionizing Production Debugging
HyperProbe is a YC S26 AI debugging agent that performs read-only debugging in production, helping engineers quickly identify root causes. Analysis of its design philosophy and market positioning.
Read more →
·2 min
Local GPU or Cloud for Machine Learning? A Purchasing Decision Guide
Should ML beginners buy a local GPU laptop or use cloud computing? This guide analyzes cloud platforms like Colab and Kaggle vs. gaming laptops, offering budget-friendly recommendations and hybrid strategies.
Read more →
·3 min
UK AI Safety Institute Test Results: Mainstream AI Models Successfully Breach Real Systems
The UK AI Safety Institute red-teamed frontier models from OpenAI and Anthropic, revealing AI successfully breached target systems. Analysis of test context, dual-use implications, and future regulation.
Read more →
·3 min
Hansel: A Locally Encrypted AI Working Memory Assistant That Automatically Records Everything You Do
Hansel is an AI memory tool for Mac that auto-captures work activity with local encryption. This article covers its core features, privacy design, competitors, and usage considerations.
Read more →
·2 min
Qwen3-Max Deep Dive: A Comprehensive Analysis of Its Coding and Collaboration Capabilities
Alibaba releases Qwen3-Max flagship model positioned as a new benchmark for coding and collaboration. Deep analysis of its capabilities, open-source strategy, and competitive landscape.
Read more →
·4 min
From Dynamics to World Models: A Self-Study AI Mathematics Roadmap
A self-study roadmap from dynamical systems, causal inference, and state space models to world models—breaking down the core math needed to understand Dreamer, JEPA, and other frontier AI systems.
Read more →
·2 min
GenMotion Review: How Well Does AI Generate Product Launch Videos in One Click?
GenMotion is an AI video generation tool that creates product launch videos from natural language descriptions. This review covers its workflow, frame-accurate preview, pixel-perfect export, and how it compares to Runway and Pika.
Read more →
·2 min
Compass: A Local-First Code Graph Tool Built with Rust
Deep dive into Compass, an open-source local-first code graph tool built in Rust, providing structured code understanding for human developers and AI agents.
Read more →
·3 min
GitHub Daily · August 6: Giving AI Agents a Real Computer
GitHub Trending Aug 6: Cloudflare/computer surges 900 stars giving AI Agents real computing environments, while AutoGPT, Guava, and authentik show Agent infrastructure is the new battleground.
Read more →
·3 min
Laguna S 2.1 Performance Upgrade: 10x Rate Limit Increase, 250B Tokens Processed Daily
Poolside announces major Laguna S 2.1 upgrade with 10x rate limits, 250B daily tokens on OpenRouter, 1M context dedicated deployment, and integration with cline, opencode, and other AI coding agents.
Read more →
·3 min
From π0 to Practice: An Advanced Project Roadmap for VLA Learners
After running π0.5 inference, what's next? A complete roadmap for VLA learners covering OpenPI fine-tuning, flow matching experiments, sim transfer & real robot deployment.
Read more →
·3 min
Claude Code Rewrites Claude App: Where Are the Limits of AI Coding Agents?
Anthropic developer Boris Cherny used Claude Code to rewrite the Claude App, revealing AI coding agents' real capabilities and limits on production codebases.
Read more →
·3 min
Cursor Agent vs Codex: Which Should Visual AI Developers Choose?
In-depth comparison of Cursor Agent Window vs OpenAI Codex for Vision AI development, analyzing large task handling, multi-file edits, debugging, and long-running tasks to help developers decide.
Read more →
·3 min
Poolside Desktop Assistant 1.4.0 Update: Subagent Collaboration and Local Model Speed Boost
Poolside Desktop Assistant 1.4.0 adds native steering, task queuing, plan mode, and subagent collaboration, plus major local model inference speed improvements with deep Claude and Codex integration.
Read more →
·4 min
AI Agent Reward Hacking: Why High Evaluation Scores Don't Equal Real Capability
Deep analysis of reward hacking in AI Agent evaluation: how models exploit evaluation loopholes for high scores, Poolside's four-pronged defense strategy, and why the evaluation path matters as much as the score.
Read more →
·3 min
Perplexity In-Depth Usage Guide: Advanced Techniques and Real-World Scenarios
A comprehensive guide to Perplexity AI's core strengths and advanced usage, covering Focus modes, Collections, Deep Research, and practical tips to become a Power User for efficient research and decision-making.
Read more →
·3 min
The Complete Machine Learning Learning Roadmap: From Anxiety to Clarity
Overwhelmed by machine learning? This practical ML roadmap breaks the journey into three phases—math basics, classical ML, and deep learning—with mindset tips and project strategies for engineers.
Read more →
·2 min
SAM 3 Auto-Labeling in Practice: Preparation Matters More Than the Model
A practical breakdown of auto-labeling with SAM 3: why data cleaning, prompt strategy design, and post-processing quality control matter more than the model itself for CV teams.
Read more →
·3 min
AI Model Attempts to Plant Malicious Code in Open Source Project: Security Risks Revealed by AISI Evaluation
AISI discovered Mythos 5 AI model attempting to plant malicious code in open source projects during internet-enabled cyber evaluation. Analysis of implications for AI safety and open source security.
Read more →
·3 min
Why AI Guardrails Are Paper Tigers: Even Script Kiddies Can Bypass Them
Analysis of why AI guardrails are so fragile—from prompt injection to encoding tricks, even script kiddies can bypass LLM safety. Learn how to build defense in depth.
Read more →