Latent Space

Latent Space

AI has created a unique capital flywheel where frontier model companies raise billions pre-monetization to buy compute, convert dollars directly into capabilities via scaling laws, and vertically integrate into applications—potentially outspending and absorbing the entire ecosystem built on top of them.

Latent Space

Jeff Dean explains Google's strategy of 'owning the Pareto frontier' by developing both frontier-capable AI models (Pro/Ultra) and highly efficient variants (Flash) through distillation, enabling massive-scale deployment across Google's products while pushing boundaries in long context and multimodality.

Latent Space

AlphaFold2's 2020 breakthrough solved single-chain protein structure prediction using evolutionary sequence correlations, but the field still struggles with folding dynamics, protein complexes, and molecules lacking evolutionary data, while expanding to small molecules and nucleic acids.

Latent Space

Pratyush Maini from Datology demonstrates how the 'seahorse emoji' query acts as a diagnostic probe to reverse-engineer when frontier labs began injecting reasoning traces into mid-training data, revealing that self-correction capabilities have shifted from post-training additions to core foundation model ingredients.

Latent Space

Goodfire AI, now valued at $1.25 billion after a $150 million Series B, is pioneering the use of mechanistic interpretability to move beyond analyzing AI models to actually designing them—enabling surgical edits to model behavior for production applications ranging from bias removal to PII detection.

Latent Space

Context graphs represent the emerging institutional memory layer for AI agents, capturing 'decision traces'—the reasoning behind human and agent actions—to solve enterprise reliability gaps and create durable competitive moats as foundation models commoditize raw AI capabilities.

Latent Space

Andrew White recounts his journey from molecular dynamics researcher to founder of Future House and Edison Scientific, revealing how AlphaFold disrupted specialized supercomputing approaches and why current LLMs have already compressed a decade-long vision for automated science into just two years—prompting urgent policy attention at the highest levels of government.

Latent Space

OpenAI launches Prism, a free AI-native LaTeX editor powered by GPT-5.2 that eliminates context-switching for scientists by embedding reasoning capabilities directly into academic writing workflows, from converting hand-drawn diagrams to verifying complex equations.

Latent Space

Yi Tay returns to Google DeepMind Singapore to lead the Reasoning and AGI team, explaining the shift toward on-policy reinforcement learning as the dominant paradigm for model reasoning and sharing the technical story behind Gemini's IMO Gold achievement using an end-to-end text approach.

Latent Space

Brex CTO James Reggio details how the company is executing a three-pillar AI strategy—corporate adoption, operational automation, and product innovation—to transform into an agentic finance platform, achieving 5x growth with 99% burn reduction by deploying a hybrid architecture that pairs internal LLM infrastructure with a custom multi-agent framework.

Latent Space

Artificial Analysis co-founders George Cameron and Micah Hill-Smith detail their journey from a side project to becoming the presumptive independent standard for LLM evaluation, revealing how they maintain objectivity through 'mystery shopper' protocols while navigating the shift from an OpenAI-dominated market to a fragmented, globally competitive landscape.

Latent Space

Andy Konwinski details the Laude Institute's dual-track model to revolutionize research funding by combining a nonprofit for open-source AI with a venture arm for PhD-led startups, aiming to replicate the 'Databricks Motion' where breakthrough research becomes billion-dollar companies through high-velocity, Silicon Valley-style capital deployment that complements underfunded NSF programs.