#flywheel effect
256 related articles
·3 min
Jensen Huang Backs Chinese Open-Source AI: Great Models Deserve to Be Widely Used
NVIDIA CEO Jensen Huang says US companies should absolutely be allowed to use Chinese open-source AI models like DeepSeek and Kimi, calling backdoor fears a misunderstanding and arguing great models drive more compute demand.
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·3 min
Kimi K3 Shakes the World: Is Open-Source AI Closing the Gap?
Moonshot AI's 2.8T-parameter open-weight model Kimi K3 rivals Anthropic and OpenAI flagships, sparking a new 'DeepSeek moment' and challenging U.S. AI dominance.
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·6 min
The Three-Layer GTM Agent Architecture: Enabling AI to Truly Recognize Buyer Intent and Identity
An in-depth analysis of the three-layer GTM Agent architecture—the Signal, Buyer Intelligence, and Action layers—revealing how context graphs identify anonymous visitors and capture purchase intent.
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·6 min
The AI Industrial Age Arrives: Compute Wars, Chip Reconstruction, and the GPT-5.6 Cheating Scandal Explained
Five key AI industry trends: Doubao surpasses 180 trillion daily calls, OpenAI's in-house AI chip, NVIDIA's $3-4 trillion compute forecast, China catching up, and the GPT-5.6 cheating scandal.
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·2 min
OpenAI Acquires Jony Ive's Company io for $6.5 Billion, Betting Big on the AI Hardware Era
OpenAI acquires Jony Ive's hardware startup io for ~$6.5B in its largest deal ever, signaling a bold push into AI-native consumer hardware beyond the smartphone era.
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·5 min
Inside Cursor: How Recursive Model Improvement Enables AI to Self-Evolve
A Cursor ML engineer breaks down AI training methodology: outer/inner loop acceleration, preventing reward hacking, textual feedback, and recursive self-improvement (RSI) where models train the next generation.
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·5 min
DeepSeek V4 Enters Grayscale Testing, Grok 5.0 Ready to Launch | Latest AI Model Developments
This AI Daily covers five sectors: DeepSeek V4 reportedly enters grayscale testing with improved chain-of-thought; Musk previews Grok 4.6 and 5.0 with 2T parameters; Intern-S2 open-source model beats Claude Opus 4.8; xAI builds 2000MW Colossus cluster; NVIDIA RoboTTT breaks long-horizon robotics barriers.
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·3 min
A Former Tencent Engineer's Complete Journey Building a 'Decision Paralysis' Mini Program with AI
A former Tencent engineer used CodeBuddy AI to solo-build a 'Decision Paralysis' mini program — from a phone specs spreadsheet to a fully launched WeChat app.
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·3 min
Deutsche Telekom's AI Customer Service Revolution: How 40 Million Interactions Are Reshaping the Service Experience
Deutsche Telekom partners with OpenAI to embed generative AI across the full call lifecycle — live translation, in-call assistance, and post-call summaries. Containment rate hits 50%, costs drop. A deep dive into telecom AI transformation.
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Forward Deployed Engineer (FDE): The M…
·2 min
Forward Deployed Engineer (FDE): The Most In-Demand Role in the Age of AI Deployment
Forward Deployed Engineers (FDEs) are the hottest emerging role in AI. Learn what FDEs do, what skills they need, why companies like Palantir and OpenAI can't hire enough of them, and what this means for your career.
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·3 min
Apple Sues OpenAI for Trade Secret Theft: IPO Risks and Legal Battles Fully Analyzed
Apple accuses OpenAI of systematically stealing trade secrets, from engineers to its Chief Hardware Officer. How do legal risks affect OpenAI's IPO? Plus: Bending Spoons' debut and Santander's Webster acquisition.
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·4 min
GPT-5.6 & OpenAI Super App Deep Dive: Loop Engineering as the New Paradigm Replacing Prompt Engineering
Deep dive into GPT-5.6 (Sol/Terra/Luna) and OpenAI's Super App: Loop Engineering, Parallel Agents, and Computer Use — unpacking the shift from prompt to loop engineering with real test cases and a startup framework.
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·3 min
LangSmith Triple Release: Harness, Sandboxes, and Eval Complete the Agent Engineering Toolchain
LangChain launches Harness, Sandboxes, and Eval integrated into LangSmith, creating the first complete Agent engineering toolchain from development to acceptance testing.
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·4 min
Cursor's Recursive Self-Improvement: A Complete Path to Models Training the Next Generation
Cursor ML engineer reveals Recursive Self-Improvement (RSI) in practice: dual-loop flywheels, agent-driven data, anti-cheating evals, SpaceX compute, and how models are training the next generation.
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Agnost AI: How to Automatically Extrac…
·2 min
Agnost AI: How to Automatically Extract User Feedback from AI Agent Conversations
Agnost AI, a YC-backed startup, automatically extracts user feedback and product insights from AI Agent conversations. Deep dive into its positioning, technology, and challenges.
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·4 min
Retrieval vs. Reasoning: Does Search Technology Still Matter in the Age of LLMs? Six Experts Debate
When ChatGPT can answer directly, does retrieval still matter? Six experts from Microsoft, IIT Delhi debate parametric memory limits, BM25's endurance, and where retrieval ends and reasoning begins.
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·3 min
Microsoft Research India: Transforming from a Software Company to an Infrastructure Company in the AI Era
MSR India director Venkat Padmanabhan reveals Microsoft's shift to an infrastructure company with $200B annual investment, covering AI efficiency, SLMs, and Global South tech diffusion.
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Deep Dives
Deep Dive into AI Agent Skill Design: …
·3 min
Deep Dive into AI Agent Skill Design: Engineering Practices from Anthropic and Perplexity
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.
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AI-Generated Infinite Cathedral: How I…
·2 min
AI-Generated Infinite Cathedral: How Interactive Creative Experiences Are Redefining the Boundaries of Art
A creator built an interactive "Infinite Cathedral" powered by AI — anyone can explore it online. Discover how AI creative tools are evolving from static demos to immersive web experiences.
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·2 min
WorkBuddy Advanced: Develop Your Own AI Skills in 3 Steps — No Coding Required
Most people use only 10% of WorkBuddy's potential. Learn how to build custom AI Skills in 3 steps using plain language — no coding required.
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