data

Nader Dabit built an interactive tool called insidetheforyou that lets users experience how X interactions affect their future feed using real posts and data, and even design their own algorithm.

New Census Bureau data quantifies how much time AI saves workers, providing insights into AI's productivity impact in the workplace.

This MIT Technology Review article argues that AlphaFold-style deep learning on massive datasets is not the ideal template for accelerating science, and that AI agents capable of reasoning and experimentation will drive future breakthroughs.

A podcast about AI model competition, discussing the importance of data, distillation and pre-training innovation, and an interview with Evolvent AI co-founder Meng Fanqing, covering topics such as synthetic data, RSI, and differences in domestic models.

Alexander Kalian argues that biology lacks sufficient high-quality data for AI, while César de la Fuente counters that data exists but needs better organization, highlighting the AllTheBacteria preprint as an open platform for bacterial genomes.

Isabelle Zhou is hiring a TPM for her research team at OpenAI, focusing on data acquisition and RL environments to advance frontier AI models toward AGI.

sqlite-utils 4.1 introduces minor features including --code for Python code blocks, --type for column type overrides, and strict mode support, continuing its evolution as a SQLite CLI utility.

Aaron Levie argues that most valuable data resides inside organizations, not on the open web, and that effectively getting this data to AI agents will define competitive advantage in the future.

This article argues that Reddit's messy, authentic human conversations are becoming increasingly valuable for training AI as the web fills with synthetic content, highlighting the economic shift toward scarce human behavioral data.

Figure CEO Brett Adcock states that if sufficient data were available, general robotics could be solved, highlighting data as the main bottleneck.

BitBoard is an analytics workspace that lets users build dashboards and reports using AI tools like Claude, ChatGPT, and Cursor, with traceable queries and team sharing.

A tweet highlights that P99 developers using Cursor AI produce 46x more lines of code than the median developer, suggesting AI empowers those previously constrained by older systems.

Anthropic's CEO emphasizes that companies with superior data—not models—will dominate in 2026, promoting a video and guide on the topic.

BREX has released the list of the top 25 fastest-growing software vendors in spring 2026.

Lensmor helps turn exhibitor data into pre-booked sales meetings.

The article summarizes the current state of the AI data industry, pointing out that the data industry is not yet mature. Anthropic and OpenAI spend over $10 million on a single environment, while Chinese AI labs tend to build rather than buy. In addition, many labs have access to Huawei chips but still crave more Nvidia chips.

Google DeepMind's 'A.I. in the Classroom' program teaches students foundational AI concepts like data needs, bias, and large language models, aiming to empower tomorrow's problem-solvers through interactive discussions.