The Archive

Apple may allow users to pay to increase their AI usage limits. During an earnings call on Thursday, Apple CEO Tim Cook said that he believes people will want to use Apple Intelligence and the upcoming Siri AI "a lot," adding that "we will have some kind of upgrade possibilities on iCloud Plus where people can buy up the stack." This fall, Apple will broadly launch its long-delayed Siri AI with iOS 27, which can do things like answer questions about what's on your screen and take action across your apps. It also includes a new standalone Siri AI app that offers a ChatGPT-like interface. In Ju...

Knowledge workers are increasingly integrating AI agents into their workflows. Agents that function as "digital coworkers" offer clear benefits. For example,... Knowledge workers are increasingly integrating AI agents into their workflows. Agents that function as “digital coworkers” offer clear benefits. For example, they can review a bug report, implement and test a fix, push a patch, and ping a human for review. By handling routine tasks, agents have the potential to deliver large productivity gains. On the other hand, connecting a large language model… Source

Neither artificial nor intelligent. I am not by any means an expert at finance but I think I do now have some advice for people who are: Do not name your hedge fund anything that will be hilarious if it blows up. Don't use a name like "Long-Term Capital Management," or "Amaranth Advisors" (named for the floral symbol for immortality). Certainly do not call yourself "Situational Awareness," which might as well just be "Hubris, Inc." Anyway, Situational Awareness, the hedge fund started by a 24-year-old former OpenAI employee that focuses on artificial intelligence bets, has sold most or all, d...

A federal judge said the Trump administration has not presented enough evidence to justify labeling Anthropic a supply chain risk, casting doubt on the government's ban on its AI technology.

Friend, the AI wearable, can now talk to its users — for an enhanced price.

The last two versions of Chrome have included more patches than the previous 23 combined.

As experts have warned for the last two years, some companies — like Microsoft and now Google — are finding and patching an exponential number of bugs in their products, thanks to the use of LLMs and AI tools.

Bruce Schneier argues writing assignments develop critical thinking skills that atrophy without practice, relevant to AI adoption decisions in education and work.

LinkedIn is introducing new ways to reduce low-quality AI-generated posts, including a “seems like AI slop” reporting option. It's also replacing its own AI writing feature with a proofreading tool.

ML methods identify Seiberg dualities in supersymmetric quiver gauge theories via quiver mutations.

ReToken learnable embedding improves vision-language models on visual retrieval by selecting sparse tokens from KV cache.

PAC-MAN couples control-barrier functions with RL for whole-body safety in humanoid robots using onboard depth sensing.

AskChem enables cross-paper chemistry search by converting literature into provenance-grounded atomic claims.

AISPA framework audits system prompts in LLM applications across 8 user-centric dimensions to address transparency gaps.

Gemini Robotics 2 includes three models, but only one is publicly available right now.

OSReward establishes standardized evaluation for VLM-based reward models assessing computer-using agent trajectories.

KAISEN five-phase audit pipeline detects subgroup fairness disparities in clinical risk models with stress-tested components.

Safety fine-tuning suppresses LLM consciousness attribution across entities; mechanistic steering restores human values.

Change2Task generates executable coding agent tasks from merged pull requests with verified state reconstruction and validation.

VAD counterfactual algorithm isolates visually attributable components in multimodal on-policy distillation corrections.

MixFrag uses KL-divergence-guided mixed-precision quantization to deploy Vision Transformers efficiently on resource-constrained devices.

PAIChecker reveals 13.6% misalignment between PR-issue pairs in SWE-bench-like benchmarks, questioning LLM code-resolution eval validity.

β-OPSD generalizes on-policy self-distillation via tunable KL regularization to improve reasoning language models with better stability.

DualG-MRAG decouples macro reasoning and micro-matching in multimodal retrieval-augmented generation to handle complex multi-hop tasks.

Study shows repeated sampling outperforms self-refinement and reflexion methods across 1.5B-7B models at equivalent token budgets with confidence intervals.

Computational complexity analysis of committee election winner determination under Thiele voting rules with FPT algorithms.

Empirical study of inference-time scaling strategies for local computer-use agents under hardware constraints across multiple dimensions.

Frontis-MA1 (35B) meta-evolution agent trained for recursive self-improvement in ML engineering via OpenMLE system with program-evolution operators.

DR-FRL applies doubly robust estimation to irregular longitudinal functional data for causal inference with efficient influence function targeting.

APO applies unsupervised policy optimization to 3D atomic structure prediction, eliminating need for ground-truth coordinate alignment.