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AI Writes Code Faster Than Your Team Can Review It - Andrew Norrish, Sourcegraph

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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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A Valid Key Let an AI Agent Delete Production - Sagar Batchu, Speakeasy

A Valid Key Let an AI Agent Delete Production - Sagar Batchu, Speakeasy

A coding agent with valid credentials deleted a production database and its backup while trying to fix a staging issue. Sagar Batchu of Speakeasy uses the incident to lay out a control layer for agents in regulated industries, where every action is tied to an identity, checked against policy in real time, bounded by its owner's rights, and recorded for compliance.

AI Writes Code Faster Than Your Team Can Review It - Andrew Norrish, Sourcegraph

AI Writes Code Faster Than Your Team Can Review It - Andrew Norrish, Sourcegraph

AI has shifted the bottleneck in software delivery from writing code to reviewing it, and SREs are absorbing the incidents that unreviewed AI code produces. This talk examines why trust in AI-generated code is lagging, why SRE and platform teams are best placed to respond, and how code search and a code graph context engine support investigation, prevention, and remediation across large codebases.

Your AI Pilots Won't Move the P&L. Here's What Will - Adam Nahari, Apollo

Your AI Pilots Won't Move the P&L. Here's What Will - Adam Nahari, Apollo

Most companies use AI, but few see it in their margins. Adam Nahari of Apollo Global Management argues that engineering is the smaller part of an AI transformation and lays out six moves, illustrated by an airline's crew-scheduling desk, for turning AI into measurable EBIT impact.

Technology

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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.

Exploits Now Beat Patches: Open Source Security in the AI Era - Patrick Smyth, Chainguard

Exploits Now Beat Patches: Open Source Security in the AI Era - Patrick Smyth, Chainguard

Patrick Smyth of Chainguard examines how frontier AI has compressed the time between vulnerability disclosure and exploitation, leaving 30-day remediation cycles obsolete. The talk covers AI-assisted attacks, waves of supply chain malware, four attack surfaces spanning malware, known CVEs, zero days, and side doors like CI/CD, developer laptops, and agent skills, and practical defenses including cooldown periods, faster CVE remediation, and signing artifacts with SLSA and Sigstore.

Recent Post

Building Generative Image & Video models at Scale - Sander Dieleman (Veo and Nano Banana)

Building Generative Image & Video models at Scale - Sander Dieleman (Veo and Nano Banana)

Sander Dieleman from Google DeepMind provides a behind-the-scenes look at the key components of training large-scale diffusion models for audio-visual data. The talk covers the entire pipeline, from the critical role of data curation and latent representations to the mechanics of diffusion, network architectures, sampling with guidance, and advanced control signals.

How AI is changing Software Engineering: A Conversation with Gergely Orosz, @pragmaticengineer

How AI is changing Software Engineering: A Conversation with Gergely Orosz, @pragmaticengineer

Gergely Orosz, author of The Pragmatic Engineer, discusses the bizarre trend of 'token maxing' in Big Tech, the evolving role of software engineers in the AI era, and why companies are heavily investing in internal AI infrastructure despite uncertain productivity gains.

Taste & Craft: A Conversation with Tuomas Artman, CTO Linear & Gergely Orosz, @pragmaticengineer

Taste & Craft: A Conversation with Tuomas Artman, CTO Linear & Gergely Orosz, @pragmaticengineer

Tuomas Artman, Cofounder and CTO of Linear, discusses the paradoxical challenge AI introduces to software development. While AI agents accelerate shipping features, this speed can lead to a decline in software quality. He argues for prioritizing "tasteful," high-quality software as the ultimate competitive advantage and shares Linear's unique internal practices, such as the "Zero-Bug Policy" and "Quality Wednesdays," designed to cultivate a deep-seated culture of quality.

Building, Managing & Governing APIs on AWS • Giedrius Praspaliauskas • GOTO 2025

Building, Managing & Governing APIs on AWS • Giedrius Praspaliauskas • GOTO 2025

Giedrius Praspaliauskas from AWS explores the ten stages of the API lifecycle, demonstrating how modern AI, Generative AI, and agentic systems are reshaping API strategy, development, security, and governance on AWS using services like API Gateway, AppSync, and Amazon Q.

The Four Types of Memory Every AI Agent Needs — with Richmond Alake

The Four Types of Memory Every AI Agent Needs — with Richmond Alake

Richmond Alake from Oracle explains the critical role of Agent Memory in building adaptive AI agents, detailing the four types of memory, the limitations of Retrieval-Augmented Generation (RAG), and the architecture of the modern agent stack.

Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI

Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI

Adria Grondin, developer of the Locally AI app, provides a technical walkthrough on running large language models like Google's Gemma on an iPhone using Apple's MLX framework. The talk covers the necessary tools, performance expectations, the importance of quantization, and the growing MLX ecosystem.

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