#open-ended problem solving
72 related articles
·3 min
OpenAI Codex Powers Black Hole Simulation: 1000x Algorithm Speedup Brings First-Ever Black Hole Video Within Reach
The EHT team used OpenAI Codex to speed up black hole plasma simulation algorithms by 1000x, from ten days to minutes. Learn how Codex is enabling the first-ever black hole video.
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·3 min
A $10 Million Research Fund Launches: What Happens When Millions of AI Agents Interact with Each Other?
Google.org and Schmidt Sciences launch a $10M fund to study collective behavior and emergent risks of multi-agent AI systems, from flash crashes to mass AI Agent deployment.
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·3 min
Fixing Tool Confusion: A Practical Method to Make DeepSeek v4 Outperform Opus
Deep dive into DeepSeek v4's Tool Confusion problem and its deterministic fix. Repair Logic dramatically improves open-source model tool call accuracy, outperforming Claude Opus 4.7 in practice.
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Industry Insights·2 min
What Problem Do You Most Want AI to Solve? A Deep Reflection on the Future Direction of AI
A simple tweet sparks wide discussion: What do you most want AI to solve? From healthcare to education equity and scientific research, exploring the shift from technology-driven to demand-driven AI.
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Product Reviews·2 min
GPT Image 1.5 Deep Dive: Multi-Turn Editing Stability and a Fundamental Shift in Image Generation
Deep dive into GPT Image 1.5's core upgrades: multi-turn editing stability, 4x speed boost, creative editing capabilities, and API access for commercial applications.
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Expert Opinions·2 min
Anthropic Reveals: Core Methodology for Building More Powerful Claude Agents
Anthropic shares deep insights on building Claude agents, covering Claude Code SDK, multi-agent coordination, tool design principles, and Skills injection techniques.
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Product Reviews·4 min
Coze Space vs Manus: Hands-On Comparison — Which AI Agent Automation Tool Is Better?
Hands-on review of Coze Space with real-world tests including enterprise analysis reports and stock comparisons, plus a full comparison with Manus to see which AI Agent automation tool comes out on top.
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Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
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Tutorials·4 min
Enterprise Deep Research Agent Implementation Guide: Architecture Design and Core Pain Points
A deep dive into enterprise Deep Research Agent deployment: architecture design, LangChain framework, and solutions to the top 10 pain points including tool chaos, context contamination, and cost control.
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Tutorials·3 min
Hands-On Testing OpenAI's Four New APIs: From GPT-4 Turbo to AI Agent Commercial Deployment
Hands-on testing of OpenAI's GPT-4 Turbo, DALL·E 3, Vision, and TTS APIs on AI2Apps, building an AI Agent that auto-generates novel covers from text.
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Product Reviews·3 min
AGENTS.md Coding Rules Put to the Test: Code Quality Unchanged, Development Efficiency Significantly Improved
A developer tested AGENTS.md coding rules across 40 PRs on three AI coding Agents. Results: code quality unchanged, but fewer tool calls, faster completion, and lower costs.
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Tutorials·2 min
Codex CLI /goal Command Explained: AI Autonomous Looping Until Objective Complete
OpenAI Codex CLI 0.128.0 adds the /goal command for autonomous looping until objectives are met. Learn about its Ralph Loop inspiration, token budget controls, and implications for AI coding agents.
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