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

Nov 02, 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 02, 2026

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.

Nov 02, 2026

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.

Nov 02, 2026

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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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.

Oct 28, 2026

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

Apr 27, 2026

Why Agents are Driving Software Development to the Cloud

Zach Lloyd, CEO of Warp, explains why the future of software development is moving from local, interactive agents to cloud-native, collaborative systems. He discusses the flaws in the "dev box" sandbox model, the decline of traditional SaaS interfaces in favor of "just-in-time apps," and how platforms like Warp's Oz are providing the necessary orchestration, observability, and access control for teams to effectively deploy AI agents at scale.

Apr 27, 2026

What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop

AI agents represent a paradigm shift from conversational AI to autonomous systems that can perform actions. This is achieved through an 'agentic loop' combining Large Language Models (LLMs) with tools, as exemplified by the OpenClaw framework, which enables complex, automated workflows while also raising important security considerations.

Apr 26, 2026

Collaborative AI Engineering — Maggie Appleton, GitHub Next

Maggie Appleton from GitHub Next argues that current agentic tools are flawed by focusing on individual productivity, ignoring the collaborative nature of software development. She introduces ACE (Agent Collaboration Environment), a multiplayer platform designed to solve team alignment issues by integrating planning, development, and shared context in a real-time, sandboxed environment.

Apr 25, 2026

Every API Is a Tool for Agents - Matt Carey, Cloudflare

This talk explores how to overcome the context window limitations that prevent AI agents from accessing large APIs. It introduces "Codemode," a technique where agents write code against a typed SDK in a secure, sandboxed environment, moving beyond static tool definitions and enabling full API accessibility.

Apr 25, 2026

AgentCraft: Putting the Orc in Orchestration — Ido Salomon

As the number of AI agents grows, humans become the bottleneck. This talk introduces AgentCraft, a game-inspired orchestrator that draws lessons from Real-Time Strategy (RTS) games to enhance human-agent collaboration, improve visibility, and increase agent autonomy, ultimately raising the ceiling of what's possible.

Apr 25, 2026

The $9B startup that wants to create a billion new developers

Replit co-founder and CEO Amjad Masad discusses the company's 10-year journey from a browser IDE to an AI-native "vibe coding" platform, empowering non-technical domain experts to build and deploy real software, and what the future holds with parallel agents and a post-prompting world.

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