The Archive

As backlash grows over Flock's AI surveillance cameras, Texas Governor Greg Abbott has frozen state spending on them. The move came just ahead of the publication of a Texas Tribune investigation that revealed the state spent over $30 million on Flock cameras. That money was primarily raised by tacking a $1 fee onto insurance policies, allegedly to help fight catalytic converter theft. Flock cameras have increasingly drawn ire from across the political spectrum as they've become the subject of privacy concerns. There have been multiple incidents of officers being placed on leave or criminally ...

Caterpillar has spent decades putting autonomous machines to work at remote mining sites. It's now bringing that experience to AI deployment.

The company is testing robots on tasks that can performed by technicians.

Tencent releases Hy4, a 770B open-weight LLM with 49B active params and 1M token context, 2.6× larger than Hy3.

This latest lawsuit is particularly broad and homes in on accusations of illegal piracy.

Sony Music and Warner Chappell have filed suit against Anthropic in the US District Court for the Northern District of California seeking damages for "tens of thousands" copyrighted works. The companies are asking for up to $150,000 per work, plus up to $25,000 for each instance when identifiable copyright data was stripped. In total, the damages could amount to several billion dollars if a court finds in Sony and Warner's favor and awards the maximum amount. This is just the latest high-profile suit against Anthropic, which recently settled a suit brought by the publishing industry for $1.5 ...

Investors, founders, and operators from across Europe arrived for the annual Nordic TechBBQ conference to talk about how humans can have agency over AI.

Vijay Pande — who left a16z's roughly $4 billion biotech practice last year to start the much smaller, AI-native VZVC — talks about why biology is finally shifting from a "discovery" science to an "engineering" one, why clinical trials are still brutally expensive, and why he thinks open, shared datasets (not walled-off ones) are what will actually let AI transform medicine.

The new generation of data center systems is increasing efficiency with smarter traffic control instead of just more processor cycles.

As audio-focused generative tools and platforms have gotten more sophisticated, the internet has become increasingly filled with AI-generated music whose melodies and vocals are algorithmically derived from the work of human artists. While some of the people pumping out this kind of content immediately own up to using AI, others have denied using the technology until increasing public scrutiny forced them to tell the truth. For musicians - especially those creating art in technologically-focused spaces like electronic dance music - the increasingly complicated question of what is "real" and w...

OpenAI restricts Cursor's API access amid dispute between Elon Musk and Sam Altman.

OCaml maintainer reports automated security exploits being attempted within minutes of patch discussion, indicating coordinated vulnerability scanning infrastructure.

Neocloud Lambda has raised $1B in private debt to buy Nvidia AI chips and lease them to Microsoft. It's the latest in a string of loans, underscoring the high cost of the AI boom.

Given 10 benchmarks for specific misaligned behaviors, the automated systems were able to improve performance on every single one without degrading overall performance.

There's a lot of capital pouring into the business of giving models away.

Anthropic refused to support lethal autonomous warfare and mass surveillance.

Physics-informed neural networks for nonlocal differential equations on quantum graphs using PyTorch implementation.

Open-source tendon-driven robotic hand simulator for dexterous manipulation learning with underactuated transmission dynamics.

Framework for synthetic-data augmentation with size-weight frontier optimization to reduce bias in statistical inference.

Mixing-time analysis of weighted Dikin walks for sampling from polytopes and PSD cones under self-concordance.

Sharp asymptotic characterization of kernel ridge regression under power-law anisotropic Gaussian data in high dimensions.

Information-theoretic bounds on LLM meaning recovery from text alone; formal proof that textual form cannot encode full semantic content.

Comprehensive survey of neural network optimizers in 2025–2026 covering temporal estimation, geometry, scheduling, and distributed systems.

Logos: cross-process agent bus architecture separating component failure domains from process lifecycle via spatiotemporal composability.

Expanded Relief-based feature selection algorithms optimized for interaction detection in high-dimensional biomedical data.

Video diffusion models repurposed for joint geometry learning (depth, surface normals) without task-specific fine-tuning overhead.

DARTS addresses representation bias in decoder-based LLM merging via lightweight correction modules, extending prior vision-model work to autoregressive architectures.

Theoretical analysis of certified code world models and their knowledge bounds under sampling-gate constraints using topological gauge-choice formalism.

InstructMesh enables interactive refinement of generative 3D models for fabrication via natural language and slider-based selective repair operations.

Open AI models are evolving faster than ever, but bringing them into native applications can still require model-specific conversion, preprocessing,... Open AI models are evolving faster than ever, but bringing them into native applications can still require model-specific conversion, preprocessing, post-processing, and runtime code. NVIDIA TensorRT Model Connect open collection of reference implementations helps to address this challenge. TensorRT Model Connect shows you how to run supported models with NVIDIA TensorRT in native C++… Source