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Everyone Has the Same AI Models. Here's What Sets Agents Apart - Richmond Alake, Oracle

Oct 31, 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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Oct 31, 2026

Everyone Has the Same AI Models. Here's What Sets Agents Apart - Richmond Alake, Oracle

Richmond Alake argues that after the control plane, agent architectures need an intelligence plane covering what an agent knows, remembers, is allowed to see, and how it improves. He draws on the WWII Midway codebreaking story to separate information from intelligence, then demos a governed agent using an ontology and semantic layer that answers correctly about 99% of the time with far fewer tokens than a naive agent. The talk also covers Oracle's agent memory package, deep data security, private inference, and fine-tuned decision models for memory routing.

Oct 31, 2026

Using Agents for Long-Horizon Financial Work — Aman Singh, Arca

Aman Singh, head of AI at Arca, explains how the firm is building an AI-native wealth management business in which agents run back-office work, monitor clients proactively, and coordinate multi-day workflows, while humans retain advisory relationships and trade execution. The discussion covers model selection through internal benchmarks, a model-agnostic custom harness with tiered routing, persistent memory for long-running tasks, deterministic and LLM-based guardrails, auditability by default, decision models for financial accuracy, and feedback loops that turn staff edits into evals.

Oct 31, 2026

THE $800B COMPUTE TRAP

Ben Lorica and Evangelos Simoudis work through Anthropic's S-1 filing, weighing its striking growth and improving unit economics against compute commitments, falling prices from open-weight models, and dependence on coding. They then examine SpaceX's emerging neocloud business and close with a debate over proposed frontier AI regulation, from self-improvement limits to independent testing and incident disclosure.

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

Jun 27, 2026

India Can Create The Largest AI Companies

This panel from Startup School India explores why India's technical talent is poised to lead the global AI wave, challenging traditional career advice. It highlights Y Combinator's focus on young, high-agency founders who leverage AI for rapid prototyping and embrace 'second mover advantage' to build global companies, emphasizing customer obsession and relentless resourcefulness.

Jun 26, 2026

Builders Unscripted: Ep. 4 - Pietro Schirano

Pietro Schirano, Founder & CEO of MagicPath, discusses his pioneering work with GPT-5.5 and Codex, transforming creative ideas into software and hardware solutions. He details using advanced AI for image-to-sound conversion, multi-agent workflows, resurrecting obsolete tech with new functionalities, and building his company, MagicPath, on the principle of humans directing AI agents. This interview provides deep insights into the creative potential and practical applications of cutting-edge AI for developers and entrepreneurs.

Jun 26, 2026

Welcome Session - Microsoft Research India Academic Summit 2026

The Microsoft Research India Academic Summit 2026 opens with MSR India Lab Director Venkat Padmanabhan outlining the lab's collaborative research philosophy and Microsoft's evolution into an AI infrastructure powerhouse. He details MSR India's four core research pillars: fundamental AI advancements, specialized domain solutions, efficiency across the AI stack (including small language models), and the crucial diffusion of AI technologies for societal impact in India and the Global South, exemplified by diverse projects and collaborations.

Jun 26, 2026

Plenary Talk 3: Challenges and Research Opportunities for Global Hyperscale Services

This talk provides a comprehensive overview of cellular aging, brain function, and the mechanisms of cognitive decline, particularly focusing on Alzheimer's disease. It delves into the role of various cell types, neural communication, and methods for assessing cognition. The speaker highlights research challenges, the limitations of current pharmacological interventions, and the critical importance of non-pharmacological lifestyle interventions. A significant portion of the discussion is dedicated to the Centre for Brain Research's (CBR) multi-disciplinary efforts in India, including large-scale cohort studies, multimodal data collection, and the development of AI-driven tools and a localized foundation model for the Indian brain to address neurodegeneration.

Jun 26, 2026

Plenary Talk 2: Reimagining Education and Skilling for the Age of AI: Challenges & Opportunities

Manohar Swaminathan critiques India's "broken" education system, asserting AI offers a unique opportunity for fundamental redesign rather than incremental fixes. He introduces `Echaliva` (reimagined workflows) and `Shiksha` (agentic AI support) frameworks, underpinned by six pillars: pervasive AI access, learner agency in real-world problem-solving, portfolio-based assessment, micro-credentialing, lifelong learning, and faculty incentives focused on impact. The talk details how agentic AI, via tools like "lumens," can manage complex learning pathways and showcases examples from institutions implementing these transformative changes, extending to a "Pluriversity" model for large-scale skilling and enhanced employability.

Jun 26, 2026

How Warp Went From YC to a $60M Series B

Warp founder & CEO Ayush Sharma discusses building an AI-native employee management platform in a competitive market, detailing how "unsexy" payroll problems became a powerful wedge and why AI fundamentally shifts enterprise software development. He explains what "AI-native" means for product architecture and company structure, the advantage it gives technical founders, and Warp's vision for "systems of intelligence" to empower customers with AI agents for complex HR workflows.

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