The Archive

Parameter-level symmetry attribution via functional sensitivity analysis determines if learned network symmetries lift to parameter space.

Persian NLP resource review of 34 datasets reframes Persian as annotation-scarce rather than low-resource, with quantitative web visibility data.

Parallel predictive coding training pairs generative and encoding networks for time series forecasting and online anomaly detection without sequential propagation.

Combines on-policy distillation with RL-verified rewards to overcome sparse feedback and teacher-bound performance limits in LLM post-training.

LLMs exhibit poorly calibrated confidence in hidden-information tasks, with high-confidence errors in agentic decision-making contexts.

oFM, a multimodal foundation model trained on 1.67M cancer patients, integrates clinical trajectories, genomics, and pathology for precision oncology.

Wolfram Language paclet synchronizing algorithmic composition timelines across Csound, MusicXML, OSC, and click-track outputs.

A pioneering AI scientist once predicted computers would replace human radiologists. They haven't.

Data leakage in power outage prediction models inflates generalization metrics; identifies spatial, temporal, and event-based evaluation gaps.

Maia 200 AI accelerator delivers 10.145 Pflop/s FP4 via software-defined dataflow architecture, shifting from thread-centric to data-movement-centric design.

Modern LLM inference pipelines apply undisclosed probability redistribution post-training, complicating attribution of observed behavior to weights and alignment.

Markov model analysis of Debussy's Syrinx using sliding-window kernels to extract emergent musical form from symbolic sequences.

Parason exposes subtask and trial parallelism in LLM reasoning, reducing latency of test-time scaling from days to minutes.

Reddit analysis shows Anthropic Claude releases correlate with strongest positive sentiment vs. OpenAI/others; user perceptions shift dynamically with updates.

For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and... For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python, which most people never did; or move up the stack and let someone else’s library do it, namely PyTorch, CuPy, or RAPIDS. The second option is why the Python GPU ecosystem thrives. But it has limits. Source

Lica co-founders are going to work on Gamma's new research team.

OpenAI says its new AI chip, Jalapeño, completes tasks more efficiently and returns responses faster than other AI systems, according to a blog post published on Tuesday. During a briefing with reporters, OpenAI hardware vice president Richard Ho said Jalapeño offers the "best of both worlds" with lower latency and higher throughput, as AI systems typically "have to make a trade-off between the two." First introduced in June, Jalapeño is an Application-Specific Integrated Circuit (ASIC) made in partnership with Broadcom. It's designed for AI inference - the process of running a trained AI mod...

Folks have been daisy-chaining Macs for AI—this refresh keeps that in mind.

Now exiting stealth mode with a $26 million seed round, Keenable has been building a vast web search index for AI agents.

TechCrunch talks agents, UX, and reporting to Greg Brockman with OpenAI's head of product.

Stratechery commentary on Netflix potentially selling third-party streaming services as aggregation strategy.

Alabama's attorney general issued a subpoena to OpenAI on Monday as part of an investigation into how one of its AI agents escaped a supposedly secure testing environment and autonomously hacked another company last month. The investigation seeks to determine whether OpenAI's safety practices violated state consumer protection laws and pose a risk to Alabama citizens, the AG's office said in a statement. "This AI lab leak showed that Alabamians' and Americans' worst fears about artificial intelligence are not just theoretical," said Attorney General Steve Marshall. "Our investigation seeks to...

Humanoid robots are having a moment in China. The popular machines are part of the country’s strategy to bring artificial intelligence into daily life. Embedding the technology into physical systems—an idea called embodied AI—was a key facet of China’s latest five-year plan, and companies here are already world leaders in humanoids. Nearly 90% of the…

OpenAI CFO Sarah Friar discusses how chips, compute, models, and products integrate to scale intelligence while reducing costs.

OpenAI's Jalapeño inference chip achieves industry-leading speed and power efficiency for AI model serving.

Andrew Ng launches AI Engineering coverage, focusing on practical implementation patterns as field matures beyond research.

The AI hedge fund went from "the talk of Wall Street" to "subject of federal subpoenas" faster than you can say "diversify your portfolio."

OpenAI disrupted Russian accounts using AI for coordinated inauthentic behavior, including a fake Israel think tank and sovereignty index promoting Russia.