The Archive

Alphabet, Google's parent company, is reportedly working on a new chip designed to make its Gemini models run much more efficiently.

AUUUUUGH | Image: Cath Virginia / The Verge, Getty Images Index funds are touted as one of the safest ways to invest. Rather than picking and choosing individual stocks, index funds let you bet on the market as a whole. So what happens when a company like SpaceX - a giant gamble, and, in my opinion, terribly overpriced - is fast-tracked into the Nasdaq-100? Does it suddenly threaten the stability of index funds based on the Nasdaq-100? Can a $1.77 trillion IPO crater the retirement funds of regular people who would ordinarily have no interest in investing in Elon Musk's meme stock? The answer...

The Model Context Protocol (MCP) is one of the basic building blocks of AI interoperability, giving AI models a secure way to access external data sources and services. It’s the plumbing that lets a chatbot reach into your calendar, your database, or your internal tools, instead of engineers building custom pipes for every connection. Next […]

X says the rebuilt version of its Android app is now available globally.

Talk of banning Chinese-made open-weight LLMs reveals the challenge of turning AI into a business.

Coding agents lower ROI threshold for reverse-engineering home automation, shifting economics of personal automation projects despite maintenance risk.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Over the weekend, several current and former advisors to President Donald Trump on AI publicly lobbed insults at the country’s leading AI companies. David Sacks, the president’s AI and crypto “czar” until…

Dataset of human image similarity judgments across semantic aspects; benchmarks vision-language models on context-dependent perceptual metrics.

Patch Policy: robot control policy leveraging dense ViT features for fine-grained spatial reasoning without billion-parameter VLM overhead.

Systematic decomposition of autonomous discovery harnesses (OpenEvolve, TTT-Discover); demonstrates no universally superior methodology.

Typology for evaluating how linguistic expressions of belief (presuppositions, evidentials) persuade LLMs to override prior knowledge.

Domain-generalized pixel-level tampering detection robust across VLM-generated manipulations from ChatGPT, Gemini, Qwen-Image.

Learned soft prefix attacks on syllogistic reasoning expose logical stability limits in Qwen, Gemma models under contextual pressure.

Extension of PCMCI+ for causal discovery on irregularly sampled time series (sensor, healthcare, financial data).

One-step and two-step RAG-based policy learning via vector search as nearest-neighbor matching in causal inference framework.

GigaPath-Flash and GigaTIME-Flash: computationally efficient pathology foundation models for whole-slide image and tumor analysis.

SWE-Pruner Pro: prunes long context in coding LLMs by extracting internal relevance signals, improving efficiency over external classifiers.

ATLAS: multi-environment factor model decomposing latent structure into invariant and heterogeneous components for transfer learning.

Context-conditioned safety critic learns adaptive clearance margins for diffusion-based robot navigation in cluttered environments.

PPL-Factory: task-aware perplexity-based data selection for efficient LLM fine-tuning across reasoning and language tasks.

TBSM: one-step generative model using distributional energy and three-body particle interactions instead of adversarial critics.

Certified training approach for convolutional perturbation robustness in vision models with formal safety guarantees.

EVOLVE: autoencoder-based volume compression for scientific simulations with variable-rate encoding.

VEHBench: 763-task diagnostic benchmark for evaluating LLM-assisted vibration energy harvester design across coupled physical constraints.

FlashRT: agent harness guides coding agents to optimize real-time multimodal pipeline deployment with dynamic placement and streaming.

Ben Thompson proposes US law to legalize model distillation and data collection as fair use, addressing licensing hypocrisy and competitiveness vs. Chinese models.

Adaptive Digital Twin framework using robust MPC for continuous surrogate model validation and drift detection in additive manufacturing.

OR Else: smooth one-sided saturation rule replaces PPO clipping for stable LLM post-training with reduced gradient discontinuities.

Mathematical characterization of how temperature scaling distorts soft-label Bayes-error estimators in binary classification tasks.

TRIM reduces verbose AI-generated code by minimizing agent trajectory artifacts through search-process cleanup.