Daily AI Recap: May 11, 2026

Welcome to today's curated briefing of the most important AI developments.

• How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics: In this tutorial, we implement how to use pandas-ta-classic to build a complete technical analysis and trading strategy workflow. We start by installing the required libraries, downloading historical ...
• How to Build a Claude Code-Powered Knowledge Base: Perform efficient data retrieval of personal knowledge The post How to Build a Claude Code-Powered Knowledge Base appeared first on Towards Data Science....
• Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization: Researchers from Meta FAIR and Stanford propose three inference methods for the Byte Latent Transformer that reduce memory-bandwidth cost by over 50% without subword tokenization. The post Meta and St...
• Using Transformers to Forecast Incredibly Rare Solar Flares: How ML can change for rare events The post Using Transformers to Forecast Incredibly Rare Solar Flares appeared first on Towards Data Science....
• Three things in AI to watch, according to a Nobel-winning economist: This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. A few months before he was awarded the Nobel Prize in economic...
• SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests: Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even with explicit instructions to optimize fo...
• Digg tries again, this time as an AI news aggregator: Digg returns (again) as another place to read AI news....
• How ChatGPT adoption broadened in early 2026: ChatGPT adoption surged in Q1 2026, with fastest growth among users over 35 and more balanced gender usage, signaling broader mainstream AI adoption....
• Fostering breakthrough AI innovation through customer-back engineering: Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research. That’s because most big companies begin with te...
• Top 10 LLM Research Papers of 2026: Large language models are no longer just about scale. In 2026, the most important LLM research is focused on making models safer, more controllable, and more useful as real-world agents. From persuasi...
• How enterprises are scaling AI: How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale....
• The new AI-powered Google Finance is expanding to Europe.: A screenshot of the AI-powered experience on Google Finance....
• On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching: arXiv:2605.06680v1 Announce Type: new Abstract: Flow matching generates data by integrating a learned velocity field, where the number of integration steps (NFE) directly determines inference cost. W...

• RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory: arXiv:2605.06675v1 Announce Type: new Abstract: Large language models cache all previously computed key-value (KV) pairs during generation, and this ...
• LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache Eviction: arXiv:2605.06676v1 Announce Type: new Abstract: Long-context inference in Large Language Models (LLMs) is bottlenecked by the linear growth of Key-Va...
• A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence: arXiv:2605.06678v1 Announce Type: new Abstract: According to the United Nations Office for Disaster Risk Reduction (2025), the average annual cost of...
• Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding: arXiv:2605.06679v1 Announce Type: new Abstract: Vision-Language Models (VLMs) are frequently undermined by object hallucination, generating content t...
• GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning: arXiv:2605.06671v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated strong potential for many mathematical problems. Howev...
• More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models: arXiv:2605.06672v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning and reasoning-tuned models such as DeepSeek-R1 are commonly assumed ...
• Fast and Effective Redistricting Optimization via Composite-Move Tabu Search: arXiv:2605.06682v1 Announce Type: new Abstract: Spatial redistricting is a practical combinatorial optimization problem that demands high-quality sol...

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• Royal Mercantile Trust Corporation of America : Remote Sales Executive