The Archive

Derives theoretical bounds on reconstruction attacks against privacy-preserving instance encoding via spectral analysis.

General Intuition, the startup building a foundation model that trains generalized AI agents how to move through space and time, is in talks to raise at a $6 billion pre-money valuation from new investors including Valor Ventures, Point72 Ventures, Seven Seven Six.

Demonstrates adversarial attacks on Gumbel-based LLM weight exfiltration detection by manipulating prompt entropy distributions.

Proposes Dual-Stream Attention framework for 12-week influenza forecasting by conditioning numeric epidemiological and textual signals.

Analyzes how LLMs fail at tracking logical exclusions and proposes Logic-Augmented Generation with POLANYI++ for structured output.

Proposes DF-MoE sparse mixture-of-experts architecture combining 8+ audio-visual feature extractors for generalizable deepfake detection.

The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,... The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs, the scale-out network connecting these nodes has emerged as a first-order performance bottleneck. For decades, traditional off-the-shelf Ethernet has been the undisputed king of enterprise and cloud networking. It is cheap, standardized… Source

Characterizes low-resource language underperformance in LLMs via representational geometry, finding degeneration in final layers.

Proposes Hierarchical Exponential-Gaussian Mixture model addressing variance collapse in watch-time distribution prediction for video recommendation.

AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing... AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing context from one turn to the next. The scale of this shift is now visible in raw consumption: across 100 trillion tokens of real-world usage, OpenRouter’s State of AI report found that average prompt tokens per request grew roughly fourfold… Source

Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users,... Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users, agents, applications, data sources, and storage systems to massively accelerated compute at multi-terabit bandwidth per server, making dedicated DPU processing essential for line-rate networking, storage, and security. Source

AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks.... AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks. While GPUs run the models, CPUs handle orchestration, tool execution, and sandboxed computation. Unlike conventional computing with stable runtime profiles, agentic workloads are unpredictable and highly variable. Based on telemetry from… Source

NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform. At the core of the platform is NVIDIA Vera Rubin NVL72, the... NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform. At the core of the platform is NVIDIA Vera Rubin NVL72, the most versatile machine ever built, delivering high throughput and interactivity across the widest range of AI workloads—from small to large models, both open and closed. Groq 3 LPX, when paired with Vera Rubin NVL72, extends the platform’s… Source

Inside the frontier lab’s push to bring AI agents from software engineers to the masses.

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox, sign up here. Chatbots took many schools by surprise upon their release a few years ago. Suddenly, students carried an app in their phones that could magically answer almost any…

Hugging Face has reportedly been fielding acquisition offers that would value the company at around $13B. But with the founders' feeling of responsibility to community, doubts arise as to whether a sale will happen.

Import AI covers machine rights debate, SPADE environment generation automation, and Hawkeye GPU kernel optimization for AI workloads.

OpenAI releases GPT-5.6 in Kiro platform with improved price-performance for software development workflows.

Linux technique embeds ELF executables as SQLite databases using SELF format identifier and custom interpreter.

Agentic cybersecurity favors offensive incentives, structurally disadvantaging incumbents and enabling startup competition.

Canonical funds Bristol researchers to explore AI-assisted C-to-Rust translation for legacy code modernization.

People have been talking to each other for at least 100,000 years, as best we can tell. And in all that time, there has been only one thing in the world that could learn a human language to perfect fluency: a human child. Now there are two. Four short years after the release of ChatGPT,…

Generic commentary on software quality without specific AI relevance.

Anthropic's annualized revenue reached $65bn by July 2024, up from $47bn in May, with 6,000+ enterprise customers spending $100k+ annually, though cheaper competitors gain traction.

A mysterious new AI model called Ox Alpha has driven certain corners of the internet into a frenzy of speculation.

Drew Breunig argues frontier model improvements now require careful cost-benefit analysis for coding tasks, as cheaper alternatives (Claude 3.5, K3, GLM) remain sufficient for most use cases.

Flock Safety faces a growing public outcry over concerns that its surveillance technology could be misused.

Most published authors have, without their knowledge or consent, contributed to the development of the same AI tools that threaten to undermine their livelihoods. That seems illegal, right?

In the HBS Foundry program, AI avatars provide feedback during practice pitches and board meetings.

Linus Torvalds credits AI assistance in debugging Linux kernel code, noting persistence overcame initial AI reluctance to continue problem-solving.