The Archive

David Crawshaw proposes using LLM-based automation for nightly software rebasing and testing via cron jobs.

Tutorial bridging control theory and RL via adaptive control and actor-critic methods on classical locomotion benchmarks.

Wasserstein distance bounds for unadjusted Langevin algorithm mixing time improved by √d/ε factor over prior work.

Digital Twin-Enhanced Multiscale Planning automates incident response via decision-theoretic agents, bridging abstract models to operational systems.

Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared... Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared across many teams, the coordination costs increase as the number of teams grows. Challenges include conflicting CRD versions, overlapping RBAC, and no clean way to carve GPU capacity into team-level budgets. At a certain scale… Source

Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,... Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data, execute tools, and generate new results, storage systems must continuously supply and preserve the data that moves the agent reasoning loop. Each agent step can trigger multiple storage operations, and those operations can repeat across… Source

Systematic comparison of training-free vs training-based intent classification methods for LLM prompt routing and domain specialization.

Empirical analysis of why frontier LLMs fail at tabular prediction without fine-tuning, foundational insight for tabular models.

Mixed-methods study of caregiver perspectives on four categories of care robots across US, Mexico, and Chile (n=298).

MonitrLLM: open-source evaluation infrastructure linking LLM conversation transcripts to user-defined task intent and outcomes.

Deep learning approach to estimate ground reaction forces from minimal IMU data for Parkinson's disease gait analysis.

Antares: compact LLMs (350M–3B) for agentic vulnerability localization via SFT and RL on cybersecurity reasoning over code.

Physics-calibrated mixture-of-experts framework learns from fragmented experimental data on plastic thermochemical upcycling.

Domain-level news reliability detection via network structure from Telegram URL-sharing patterns, accounting for generative AI mimicry.

Benchmark of 11 audio-language models and classifiers on closed-set sound source identification (2,242 clips, 23 classes).

GROVE: training-free wearable video-memory framework supporting both question-answering and proactive recall from streaming visual input.

Simon Willison argues LLMs make open-source dev tools more practical by lowering code-reading barriers through AI-assisted comprehension.

Google and Kaggle launched a free 353,000-person course on AI agents using Gemma, focused on building and deploying agent systems.

Import AI newsletter curates self-sustaining AI viruses concept, AI progress pacing debate, and creativity attribution confusion.

The Alibaba logo is displayed outside its headquarters in Hangzhou, Zhejiang Province, China. | Image: NurPhoto via Getty Images Chinese tech giant Alibaba released what it says is its largest and "most capable AI model to date," claiming performance rivaling the best systems from US frontier labs Anthropic and OpenAI, as well as domestic rivals like Moonshot AI's Kimi K3. Alibaba said it was making the model, Qwen3.8-Max, widely available to users in a blog post published on Monday. The release had been expected after the company previewed the model last month, when it claimed it was "second...

June emerged from stealth today with a $20 million pre-seed round to make AI adoption simpler.

Meta's earnings miss and delayed AI product roadmap raise questions about execution timeline and capital allocation strategy.

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. When two OpenAI models hacked into the website Hugging Face in July, they weren’t trying to make money or commit sabotage—they were just looking for answers…

OpenAI's GPT-Live enables low-latency continuous voice interaction via turnless speech model architecture, shipped in six months.

condense-json 1.1 adds support for non-string replacement values and object-based merge operations with round-trip testing.

Circles deploys OpenAI API and Codex for telecom personalization, achieving 22% ARPU lift and 9% churn reduction.

Simon Willison releases condense-json 1.0, a utility library for compressing JSON by replacing repeated strings with references.

On the latest episode of Equity, we discuss why Sam Altman has calling on the industry to "pace the rate of AI development."

Edward “Bud” Cole speaks in Japan in 2023. | Image: Jun Sato/WireImage Fender CEO Edward "Bud" Cole gave an interview to T3 in May celebrating the 75th anniversary of the Telecaster with comments on AI and music that initially flew under the radar. But it has started making the rounds recently, pouring more fuel on an already raging fire of bad PR following the company pissing off basically the entire guitar-playing community by sending cease-and-desist letters to builders, claiming copyright of the Stratocaster body shape. Some influential guitar YouTubers have even said they're done buying ...

Illustrators have spent years sounding the alarm about generative artificial intelligence startups training their models on artists' work without permission. They've pointed out how the practice is tantamount to theft, and in response, many gen AI boosters have argued that it's necessary for the technology's evolution. This has led to contentious legal battles, but it's also given rise to a new wave of AI startups like Pippa that market their services as being more ethical than the competition. Like most companies selling access to text-to-video models, Pippa's main product is short bursts of...