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

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Machine Learning

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

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.

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

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.

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

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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The New AI Agents That Shop, Plan, and Gossip

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.

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

Don't Approve the AI Model. Approve the App - Doneyli De Jesus, Langfuse

Don't Approve the AI Model. Approve the App - Doneyli De Jesus, Langfuse

Doneyli De Jesus, AI engineering lead at Langfuse, describes how a top-five bank built deployment gates for AI agents in an on-premises, air-gapped environment. He covers golden data sets, multi-dimensional scoring, why a model that was 97% grounded still failed on numbers until it was given a calculator tool, and how domain experts set thresholds and review failures, cutting evaluation time from weeks to minutes.

Technology

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What iPhone Packaging Reveals About the Robotics Opportunity

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.

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

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.

Mark Cuban’s Plan to Make Healthcare Affordable

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

GeoMind: A Multi-Agent Framework for Geospatial Decision Support

GeoMind: A Multi-Agent Framework for Geospatial Decision Support

GeoMind is a multi-agent framework designed to empower non-technical users, such as disaster responders, to perform complex geospatial analysis using natural language. It bridges the gap between Large Language Models and advanced GIS workflows by employing a team of specialized AI agents that can query, join, and analyze multi-layered vector and raster data to provide timely, actionable insights during emergencies.

AI is critical for humanity’s survival: Cisco President on the AI revolution | Jeetu Patel

AI is critical for humanity’s survival: Cisco President on the AI revolution | Jeetu Patel

Jeetu Patel, President and CPO at Cisco, shares his frameworks for transforming a 90,000-person company to be AI-first, building great companies, and leading at scale. He discusses Cisco's critical role in the AI infrastructure buildout, the necessity of AI for humanity's future, and his counterintuitive principles on communication and strategy.

Learn Docker in a Month of Lunches • Elton Stoneman & Bret Fisher • GOTO 2026

Learn Docker in a Month of Lunches • Elton Stoneman & Bret Fisher • GOTO 2026

Docker educators Bret Fisher and Elton Stoneman discuss the second edition of Stoneman's book, "Learn Docker in a Month of Lunches". They explore why Docker fundamentals remain crucial in a Kubernetes-dominated world, the evolution of the container ecosystem over the past five years, and the key skills that differentiate a Docker expert from a beginner, such as multi-platform builds, security, and configuration management.

The #1 AI Agent on GitHub Was Never Read by Its Creator

The #1 AI Agent on GitHub Was Never Read by Its Creator

Jason Martin of HiddenLayer discusses the significant security vulnerabilities of OpenClaw, a viral open-source AI personal assistant. The analysis covers critical flaws like prompt injection, insecure defaults, and the potential for creating sophisticated botnets, offering key lessons for securing the next generation of autonomous AI agents.

How Capital is Powering the AI Infrastructure Buildout with Magnetar Capital's Neil Tiwari

How Capital is Powering the AI Infrastructure Buildout with Magnetar Capital's Neil Tiwari

Neil Tiwari of Magnetar Capital explains the creative debt structures and financial innovations fueling the multi-trillion dollar AI infrastructure buildout. He debunks the myths around GPU collateral, revealing that the real security lies in contracted cash flows from investment-grade partners, and details how the industry's bottlenecks are shifting from chips to power distribution, steel, and specialized labor.

🔬Max Welling: Materials Underlie Everything

🔬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.

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