The Archive

We shed light on OpenAI's first Dark Factory for the first time.

Google supplies TPUs to Anthropic to resolve compute bottleneck, consolidating strategic alliance in frontier model race.

a quiet day lets us give due respect to the enormously successful Gemma 4 launch

Anthropic expands compute partnership with Google and Broadcom for multiple gigawatts of next-generation infrastructure.

Import AI 452 reports scaling laws for cyber warfare, AI automation trends, and GDP forecasting anomalies.

OpenAI announces Safety Fellowship pilot program to fund independent AI safety and alignment research and develop next-generation researchers.

OpenAI proposes people-first industrial policy for AI era focused on expanding opportunity, distributing prosperity, building resilient institutions.

Alta Daily case study deploying Meta's Segment Anything for e-commerce wardrobe application.

a quiet day.

The legend needs no intro... if you pardon our pun

A welcome update from Google!

In vision AI systems, model throughput continues to improve. The surrounding pipeline stages must keep pace, including decode, preprocessing, and GPU... In vision AI systems, model throughput continues to improve. The surrounding pipeline stages must keep pace, including decode, preprocessing, and GPU scheduling. In the previous post, Build High-Performance Vision AI Pipelines with NVIDIA CUDA-Accelerated VC-6, this was described as the data-to-tensor gap—a performance mismatch between AI pipeline stages. The SMPTE VC-6 (ST 2117-1) codec… Source

We cap out our World Models coverage with one of the most exciting new approaches - long running, multiplayer, interactive world models built with agents bootstrapped from game engines!

The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from... The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments, from NVIDIA Blackwell in the data center to Jetson at the edge. These models are suited to meet the growing demand for local deployment for AI development and prototyping, secure on-prem requirements, cost efficiency, and latency-sensitive use… Source

Google DeepMind releases Gemma 4, open-weights model optimized for reasoning and agentic workflows with improved capability-to-size ratio.

Gemini API introduces Flex and Priority inference tiers for cost/latency tradeoffs.

Google Vids adds free video generation via Lyria 3 and Veo 3.1; consumer video editing tool.

In algorithmic trading, reducing response times to market events is crucial. To keep pace with high-speed electronic markets, latency-sensitive firms often use... In algorithmic trading, reducing response times to market events is crucial. To keep pace with high-speed electronic markets, latency-sensitive firms often use specialized hardware like FPGAs and ASICs. Yet, as markets grow more efficient, traders increasingly depend on advanced models such as deep neural networks to enhance profitability. Because implementing these complex models on low-level… Source

OpenAI acquires TBPN to expand dialogue with AI builders, businesses, and broader tech community through independent media support.

OpenAI introduces pay-as-you-go pricing model for Codex on ChatGPT Business and Enterprise to lower adoption barriers for teams.

a quiet day

Note: CUDA Tile Programming in BASIC is an April Fools’ joke, but it's also real and actually works, demonstrating the flexibility of CUDA. CUDA 13.1... Note: CUDA Tile Programming in BASIC is an April Fools’ joke, but it’s also real and actually works, demonstrating the flexibility of CUDA. CUDA 13.1 introduced CUDA Tile, a next generation tile-based GPU programming paradigm designed to make fine-grained parallelism more accessible and flexible. One of its key strengths is language openness: any programming language can target CUDA Tile… Source

Co-designed hardware, software, and models are key to delivering the highest AI factory throughput and lowest token cost. Measuring this goes far beyond peak... Co-designed hardware, software, and models are key to delivering the highest AI factory throughput and lowest token cost. Measuring this goes far beyond peak chip specifications. Rigorous AI inference performance benchmarks are critical to understanding real-world token output, which drives AI factory revenue. MLPerf Inference v6.0 is the latest in a series of industry benchmarks that measure… Source

In today’s AI factory environment, performance is not theoretical. It is economic, competitive, and existential. A 1% drop in usable GPU time can mean... In today’s AI factory environment, performance is not theoretical. It is economic, competitive, and existential. A 1% drop in usable GPU time can mean millions of tokens lost per hour. Minutes of congestion can cascade into hours of recovery. A rack-level power oversubscription can lead to stranded power and reduced tokens per watt, silently eroding factory output at scale. As AI factories scale… Source

Google partnered with Brazil on satellite imagery forest monitoring system; applied AI use case.

March 2026 recap of Google AI announcements; meta-summary lacks specific technical or strategic substance.

The accidental "open sourcing" of Claude Code brings a ton of insights.

Gradient Labs deploys GPT-4.1 and GPT-5.4 mini/nano agents for automated banking support with low-latency agentic workflows.