How the Best Leaders Develop and Spend “Innovation Capital”
Strategy professor Nathan Furr explains why credibility, relationships, and track record matter so much when pitching new ideas.
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Finite Trigonometric Sum and Product Identities from Infinite Series
Calculating finite sums and products of trigonometric functions is an important and fascinating problem, a straightforward method is using infinite series or infinite product. In this paper, we calculate four finite sums and a finite product of trigonometric functions using this method, which contributes to a deeper understanding of this problem.
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Solving Meta RL benchmark Alchemy form Deepmind with Epiplexity
🧪 I was able to finally solve DeepMind’s Alchemy Meta RL benchmark using a new theoretical framework: Epiplexity For many years, I’ve been working on DeepMind’s Alchemy meta-reinforcement learning benchmark as a side project – a notoriously difficult task that requires agents to discover hidden “chemistry rules” that get shuffled each episode. The breakthrough: Instead of only selecting models by reward, I select by epiplexity – a measure of structural information extraction from the recent paper “From Entropy […]
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Democratizing Marketing Mix Models (MMM) with Open Source and Gen AI
A practical system design combining open-source Bayesian MMM and GenAI for transparent, vendor-independent marketing analytics insights. Image sourced from Freepik Marketing Mix Models (MMM) have been in the industry for several years and recently they have experienced a renaissance. With digitally tracked signals being deprecated for increasing data privacy restrictions, Marketers are turning back to MMMs for strategic, reliable, privacy-safe measurement and attribution framework. Unlike user-level tracking tools, MMM uses aggregated time-series and cross-sectional data to estimate how marketing […]
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Investing in America 2025
Google’s deep investments in American technical infrastructure, R&D and the workforce will help the U.S. continue to lead the world in AI.
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C# 9 – Immutability – Records & Init-only Properties
Immutability has been getting popular these last years, especially with the rise of not only functional programming and but also JS frameworks such as React. It’s an important concept for many reasons, but I won’t get into it in this blog post because it’s not the point. Although I would urge you to either read The Dao of Immutability or watch Jon Skeet’s The changing state of immutability in c# video, which explain it in details.
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AI starts autonomously writing prescription refills in Utah
The state of Utah is allowing artificial intelligence to prescribe medication refills to patients without direct human oversight in a pilot program public advocates call “dangerous.” The program is through the state’s “regulatory sandbox” framework, which allows businesses to trial “innovative” products or services with state regulations temporarily waived. The Utah Department of Commerce partnered with Doctronic, a telehealth startup with an AI chatbot. Doctronic offers a nationwide service that allows patients to chat with its “AI doctor” […]
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Robotic Assembly Using Deep Reinforcement Learning
Introduction Disclaimer: This article is a cross post from Pytorch Medium Blog Post. One of the most exciting advancements, that has pushed the frontier of the Artificial Intelligence (AI) in recent years, is Deep Reinforcement Learning (DRL). DRL belongs to the family of machine learning algorithms. It assumes that intelligent machines can learn from their actions similar to the way humans learn from experience. Over the recent years we could witness some impressive real-world applications of DRL. The […]
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2024 Year in Review
At the end of 2022 I wrapped up my contract work with Help Scout and took the plunge to work on my indie software businesses full time. I’m now two years into that adventure, and wanted to share a periodic update about how things are going. Preceden on the Back Burner I made 32 commits to Preceden, my timeline maker software, the entire year. Those commits were all small tweaks like switching the AI timeline generator from gpt-3.5-turbo […]
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Beyond Vector Search: Building an Adaptive Retrieval Router for Agentic AI Systems
Author(s): Abi Originally published on Towards AI. A hands-on guide to making retrieval a learnable decision layer—with code, architecture, and production trade-offs. Vector search works great for “one query, one answer” workflows. But agentic AI systems retrieve multiple times across a plan — and a small miss early becomes a compounding error that derails the entire task. Adaptive Retrieval Router Architecture: Query → Router (extracts features, scores strategies) → Retriever (keyword/vector/hybrid) → Evaluator → Feedback Loop → TelemetryThe […]
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