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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

Full Workshop: Build Your Own Deep Research Agents - Louis-François Bouchard, Paul Iusztin, Samridhi

Full Workshop: Build Your Own Deep Research Agents - Louis-François Bouchard, Paul Iusztin, Samridhi

This hands-on workshop details the construction of a sophisticated, dual-part AI system for producing high-quality technical content. It begins with an MCP-powered deep research agent that autonomously plans, searches the web, and analyzes sources like YouTube to synthesize a grounded research artifact. The second part is a constrained, deterministic writing workflow that transforms this research into polished, non-sloppy content using an innovative "Evaluator-Optimizer" pattern for iterative refinement. The session emphasizes crucial AI engineering principles, such as choosing between agentic and workflow-based architectures, and concludes with a deep dive into implementing practical observability and evaluation pipelines to ensure the system is both measurable and improvable.

Can we AI our way to a more sustainable world?

Can we AI our way to a more sustainable world?

Microsoft experts Doug Burger, Amy Luers, and Ishai Menache discuss the dual role of AI in sustainability. They analyze the environmental footprint of datacenters and explore how AI-driven optimization and materials discovery can be pivotal in decarbonizing global systems like energy, industry, and food production.

Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind

Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind

A deep dive into Google DeepMind's Gemma 4, the latest family of open models. This summary covers the new model architectures like per-layer embeddings, on-device agentic capabilities, multimodal features, and the growing ecosystem of fine-tuned applications from medicine to sovereign AI.

The New Application Layer - Malte Ubl, CTO Vercel

The New Application Layer - Malte Ubl, CTO Vercel

Malte Ubl, CTO of Vercel, posits that AI engineering is the successor to web development, arguing that AI agents will expand, not shrink, the software market. He explores practical agent archetypes being built today and discusses the profound shift required in infrastructure and security as agents become both the builders and primary users of software, concluding that the true innovation and value will lie in the application layer built by AI engineers, independent of the commoditizing foundational models.

A New Kind of Marketplace

A New Kind of Marketplace

Donné Stevenson (Prosus) and Pedro Chaves (OLX Group) explore the future of e-commerce, where AI agents will automate buying and selling. They discuss the transition from traditional search to agent-driven experiences, the critical challenges of user trust and UI/UX design, and a future vision for an agent-to-agent marketplace that handles everything from negotiation to logistics.

The Modern Software Engineer

The Modern Software Engineer

Mihail Eric, Head of AI at Monaco and Stanford Lecturer, discusses the fundamental shift in software engineering due to AI. He explores how the developer's role is evolving from a line-by-line coder to a systems architect and agent director, emphasizing the growing importance of upfront planning, robust validation, and clear articulation to effectively manage AI-driven workflows.

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