Agents enter the quant research process. Execution remains deterministic.
A reference architecture for integrating agentic AI into quantitative investment research, balancing autonomous research with deterministic execution.
Banks confront the economics of AI agents. Inference performance a systems issue. Specialist models for cyber and hardware engineering.
The economics of AI are a financial-market story, from banks' agent costs to the financing of data centres and the Anthropic IPO. Memory, storage and specialised accelerators are constraints on scaling AI inference. AI agents for formal software verification and physical hardware design.
Can LLM agents conduct quantitative research?
A benchmark that evaluates the entire quantitative research process, from feature engineering to out-of-sample trading performance.
LLM agents inside the trading loop
A multi-agent trading system uses LLMs for market analysis while retaining conventional models and deterministic rules for portfolio construction and execution.
Bet on the kids
AI may eliminate some entry-level tasks, but it could give the next generation an extraordinary advantage.
Intel raises capital. Stroustrup to SIG. Meta pushes AI to the edge.
Intel raises $20bn as investors back its foundry ambitions, Bjarne Stroustrup joins Susquehanna as a Technical Fellow, and Meta releases a smaller open-weight model designed to run locally.
Machine learning inside the network
ML inference running directly inside a programmable network switch, bringing market prediction closer to the data.
The (career) loop tour: What array programming can teach us about harness engineering
An array programmer’s journey from avoiding loops to designing them.
How hedge funds compete for AI talent. Inference architecture disaggregates. Agent evals focus on reliability.
Hedge funds compete for AI talent as inference architecture becomes increasingly disaggregated and agentic AI evaluation shifts from capability to reliability.
CapEx Boom. Agentic Checkouts. Quantum Optimization in Portfolio Allocation
Big Tech’s $725B infrastructure bet is crushing free cash flow as "Agentic Commerce" protocols move from pilot to production.
Hyperscalers bet $600B on AI. MCP becomes infrastructure. Context engineering replaces prompt engineering.
Trillion-dollar infrastructure bets are under pressure as firms learn that scaling spend doesn’t scale performance without better ways to manage what models actually see.
Labour market jitters. Altman on spending commits. AI benchmarks under scrutiny.
A volatile week across markets and AI. Tech valuations wobble, central banks stay cautious, Big Tech defends trillion-dollar AI bets, and new research questions how we measure progress. Signals are getting noisier — not clearer.