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The Right Model for Each Coding Task

Nov 04, 2026

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Machine Learning

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Oct 13, 2026

Judge a Transaction by the Company It Keeps — Somya Rai & MD Sharique, EXL

EXL developed an advanced fraud detection system that augments XGBoost with Graph Neural Network (GNN) embeddings. Traditional tabular models struggle to capture fraud signals residing in transaction neighborhoods. The system's innovative design includes meticulous sampling strategies, disjoint monthly graph construction for leakage control, and a GraphSAGE architecture that aggregates mean, max, and standard deviation of neighbor features to detect subtle fraud patterns. Emphasizing explainability for regulatory compliance and analyst trust, it also features a highly optimized serving architecture achieving 3ms P99 latency, pivoting to edge prediction to reduce cache footprint from 60GB to 2-3GB. This led to a 27-33% relative lift in true positive rates and a projected $65 million incremental fraud capture.

Oct 10, 2026

From 15% to 90% GPU Utilization: Fix the Data Pipeline, Not the Model

Tarun Sunkaraneni from Amazon AGI shows how a multimodal SFT pipeline that spent about 85% of its time waiting on data was brought to roughly 90% GPU utilization. He walks through concurrency with asyncio and Ray actors, prefetching, zero-copy transfer via Ray's object store, and a network-card bottleneck that appears only at scale, and argues that the hardest part of training throughput is often keeping GPUs fed rather than optimizing the model.

Oct 10, 2026

Small Models, Big Results: Training a Finance Agent for Under $500 — Charles Dickens, Snorkel AI

Snorkel AI and UC Berkeley's Sky Computing Lab show that a 4B Qwen3 model, trained with reinforcement learning for under $500 using the rLLM framework, beats its 235B sibling on expert-validated financial question answering built from SEC 10-K filings. The talk covers the FinQA dataset construction and verification, common failure modes of frontier models, transfer to multi-table and general tool-use tasks, and ablations showing that simple data and binary rewards outperform more elaborate setups, since the real bottleneck is disciplined tool use rather than reasoning depth.

Artificial Intelligence

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Nov 04, 2026

The Right Model for Each Coding Task

Weave co-founders Adam Cohen and Andrew Churchill explain how their engineering analytics platform evolved from measuring human productivity to optimizing coding agents. The conversation covers Weave Router, which automatically selects the best model for each coding task, cost per output as a better measure than raw token spend, an AI coach for engineers, and the design of autonomous software factories with automated validation.

Nov 04, 2026

The New AI Agents That Shop, Plan, and Gossip

David Pawlan, creator of Assistant Benchmark, joins Anish Acharya and Josh Elman to take stock of an agent landscape that changes almost weekly. Drawing on tests of more than 140 assistants and a survey of AI power users, they explore why trust is the dominant fear, how fences and permissions might make agents safe, and where privacy, embarrassment, and judgment fit in. The conversation then moves to multiplayer and gossipy agents, agent-to-agent networks that could spark serendipity, and the possibility that the most valuable agents will do more than save time, becoming a kind of secret superpower.

Nov 04, 2026

AI-Friendly Code: The Missing Link for Speed with Quality • Adam Tornhill • GOTO Copenhagen 2026

Adam Tornhill explores why AI agents produce fast early gains that often erode under growing code complexity, and how the Code Health metric, safeguarding loops, and codebase-specific refactoring can keep agentic development sustainable at scale, including a 300,000-line legacy case study.

Technology

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Nov 02, 2026

What iPhone Packaging Reveals About the Robotics Opportunity

Tutor Intelligence CEO Josh Gruenstein explains why robotics is a systems problem spanning AI, hardware, manufacturing, and customers, and how deploying robots into real factories and warehouses, with human tutors as backup, generates the data that makes them more capable. The discussion covers the company's own robot designs, its focus on small and mid-sized businesses, the economics of flexible robotic labor, and the implications for American manufacturing and supply chains.

Oct 29, 2026

Why Founders Are Betting Big on Factories, Mines, and Energy

Erin Price-Wright and Connor Love unpack the AD50 and the rebuilding of America's industrial base, covering how defense demand is financing manufacturing capacity for commercial markets, how AI is reshaping factory economics, how a new generation of founders applies lessons from SpaceX, Tesla, Anduril, and Palantir to mining, energy, and manufacturing, and why private capital is now willing to fund physical infrastructure before government demand is guaranteed.

Oct 28, 2026

Mark Cuban’s Plan to Make Healthcare Affordable

Mark Cuban and Julie Yoo discuss how transparency, direct contracting, and AI could reshape healthcare economics, from Cost Plus Drugs and modular pod manufacturing to personalized medicine, the future of physicians, and advice for founders who want to use AI to learn rather than to stop thinking.

Recent Post

Feb 25, 2026

🔬Max Welling: Materials Underlie Everything

Max Welling connects the dots between quantum gravity, equivariant neural networks, and diffusion models, explaining how these concepts from theoretical physics are now powering a new generation of AI for materials discovery to tackle climate change. He introduces the concept of a "Physics Processing Unit" and details the architecture of his startup, CuspAI.

Feb 25, 2026

Multi-Agent Personalization with Shared Memory: From Email to Website to Proposal // Hamed Taheri

This talk explores the challenges of using multi-agent systems for mass personalization, highlighting the inconsistencies and inaccuracies that arise from traditional methods like RAG and function calling. The speaker introduces Cortex UCM, a unified customer memory system that proactively infers and standardizes customer insights. This shared, structured memory layer enables agents to achieve a deep, consistent understanding of customers, leading to high-quality, scalable generative personalization for emails, websites, and product pages.

Feb 25, 2026

How To Build a GenAI-Augmented Software Organization • Marko Klemetti & Kris Jenkins • GOTO 2025

Marko Klemetti and Kris Jenkins explore how Generative AI is not just another tool but the next major paradigm shift in software development, forcing a radical reinvention of team structures, management roles, and the entire SDLC to achieve a 'five-minute-to-production' North Star.

Feb 25, 2026

Exploits of public-facing apps are surging. Why?

A deep dive into the 2026 IBM X-Force Threat Intelligence Index, exploring the shift to exploiting public-facing applications, the rise of AI agent-related threats, critical AI infrastructure flaws, and the need for a more human-centric approach to threat intelligence.

Feb 24, 2026

Builders Unscripted: Ep. 1 - Peter Steinberger, Creator of OpenClaw

Peter Steinberger, creator of OpenClaw, discusses his journey into open source, the unexpected success of his AI agent, and how his development workflow has been fundamentally transformed by using agentic AI tools like Codex.

Feb 24, 2026

Effect Oriented Programming • Bill Frasure, Bruce Eckel, James Ward & Andrew Harmel-Law

Authors Bill Frasure, Bruce Eckel, and James Ward discuss the core concepts of Effect-Oriented Programming, explaining how effects are composable operations that encapsulate side effects and defer execution. They highlight how effect systems use compiler-checked types to manage unpredictability, improve testability, and make functional programming concepts accessible without intimidating jargon.

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