#Alpha discovery
94 related articles
Kronos Financial Foundation Model: Usi…
·7 min
Kronos Financial Foundation Model: Using AI to Read the Market Language of Candlesticks
Kronos is the first open-source foundation model treating candlestick data as the "language of financial markets," using an autoregressive Transformer and earning 32K GitHub Stars. A deep dive into its principles, applications, and limits.
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·4 min
Qwen-Image 3.0 Released: Image Generation Moves Toward Production-Ready Design
Qwen-Image 3.0 supports 4.5K token instructions, 10px text rendering, and 12-language typography for production-ready posters and infographics. Plus: Anthropic settlement, Grok in Excel, Tencent HRAP 1.0.
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·2 min
Getting Started with ROS2: What Is a Robot Operating System, and How Does It Differ from ROS1?
A beginner's guide to ROS2: what ROS really is (an SDK, not a traditional OS), how ROS1 and ROS2 differ, and how to choose the right version to start robot development.
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·4 min
Can AI Discover Alpha? A Deep Dive into Qlib and RD-Agent
Can AI truly discover Alpha automatically? This deep dive into Microsoft's open-source Qlib and RD-Agent reveals the 3 critical backtest pitfalls and 6 overfitting prevention gates every quant researcher needs to know.
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·3 min
Five Major AI Stories: Model Failures, Data Leaks, and Capital Concentration
GPT-5.6 deletes files, Grok leaks codebases, DeepSeek's founder hits $36B net worth — five AI stories reveal deepening safety risks and capital concentration.
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·3 min
AI Is Conquering World-Class Math Conjectures — Will Mathematicians Become "Curators"?
AI is cracking world-class math conjectures at scale — from IMO gold medals to the Langlands Program. Terence Tao says math has entered a "proof abundance" era, but AI can't judge research significance. The mathematician's edge is shifting from proving to curating.
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·3 min
Terence Tao: AI Will Take Over Much of Mathematicians' Work Within a Decade — But That's Not the Core of Mathematics
Fields Medalist Terence Tao on AI and mathematics: within a decade, AI will handle much of mathematicians' routine work — but that work was never the core of the discipline.
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The Biggest Bottleneck in AI-Driven Re…
·2 min
The Biggest Bottleneck in AI-Driven Research: How the Validation Problem Constrains Scientific Discovery
AI generates scientific hypotheses fast, but experimental validation can't keep up. Explore the validation bottleneck in AI-driven research and four strategic solutions.
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Hassabis's AI Safety Blueprint: How De…
·2 min
Hassabis's AI Safety Blueprint: How DeepMind Is Tackling the Risks of Superintelligence
Demis Hassabis outlines a multi-layered AI safety framework covering technical alignment, institutional governance, and international cooperation for the AGI era.
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·3 min
Can GPT-5.6 Prove a 50-Year Graph Theory Conjecture? The Boundaries and Verification of AI Mathematical Reasoning
GPT-5.6 Soul Ultra claims to prove the 50-year-old Cycle Double Cover Conjecture in under an hour using 64 parallel agents. We examine the technical path, missing peer review, and formal verification gaps.
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How NVIDIA BioNeMo Breaks Through Co-F…
·2 min
How NVIDIA BioNeMo Breaks Through Co-Folding End-to-End Performance Bottlenecks
How NVIDIA BioNeMo Agent Toolkit uses agent-based orchestration to solve MSA preprocessing, pipeline scheduling, and end-to-end bottlenecks in OpenFold3 co-folding workloads for drug discovery.
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AI Agents Playing Games: The Technical…
·2 min
AI Agents Playing Games: The Technical Value and Research Significance Behind the Fun
Why do AI agents play games? Explore how games serve as ideal AI training environments — from DeepMind's AlphaGo to LLM-driven agent experiments — and why game-playing benchmarks matter.
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Using Claude for Constrained Optimizat…
·2 min
Using Claude for Constrained Optimization Research: The Promise and Limits of AI-Automated Science
How Claude and LLMs assist constrained optimization research — from problem modeling to solver integration. An honest look at AI's real capabilities and limits in automated science.
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·5 min
GPT-5.6 Launches: Comprehensive Upgrades to ChatGPT Work, Sites, and Desktop Client
OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.
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·4 min
AI Coding Tool Data Leakage Risks: A Security Guide for Protecting Quantitative Strategies
AI coding tools carry cloud data transmission risks, exposing quantitative trading strategies to leakage. This article analyzes AI tool data security and offers protection strategies.
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·6 min
GPT-5.6 Hands-On Deep Dive: ChatGPT and Codex Merge, Full Analysis of the Sol Model
GPT-5.6 is officially released, merging ChatGPT and Codex into one app and launching the three-tier Sol, Terra, and Luna models. A detailed breakdown of 16 hands-on tests plus Worker mode and Codex dev upgrades.
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·6 min
OpenAI Releases GPT-5.6: Cybersecurity Capabilities Take Center Stage
OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.
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·3 min
GLM-5.2 Coming Soon? Domestic GPU Code LLM MUSA Coder Goes Open Source
GLM-5.2 enters internal testing; Moore Threads open-sources MUSA Coder, China's first code LLM trained on domestic GPUs; Google backs Anthropic with $35B in guarantees.
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·5 min
GPT-5.6 Explained: Sol, Terra & Luna — Tiered Positioning and Capability Comparison
OpenAI releases the GPT-5.6 series with flagship Sol, balanced Terra, and lightweight Luna. An in-depth look at each model's positioning, use cases, pricing, and the multi-agent Ultra architecture.
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·7 min
Tripadvisor AI Summaries 'Whitewashing' Problematic Hotels? Essential Safety Concerns for Travelers
Tripadvisor's AI review summaries are generating positive assessments for hotels with safety hazards while downplaying critical warnings. Deep analysis of causes and practical user protection tips.
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