The Archive

Probabilistic inference over spatially embedded variables requires beliefs that respect $SE(3)$ symmetry, yet existing equivariant networks produce only scalars and vectors -- not the rank-2 precision tensors needed for anisotropic uncertainty, and single-component messages collapse multi-modal energy landscapes to physically meaningless averages. We introduce Equivariant Neural Belief Propagation (ENBP), a factor-graph framework whose messages are equivariant Gaussian mixture models with sufficient statistics that transform exactly under $SE(3)$. Rank-2 precision matrices are synthesised via...

Topological Data Analysis (TDA) offers a principled, intrinsic lens for comparing neural representations. However, existing paired topological divergences (e.g., RTD) are limited by heuristic asymmetry and, more critically, unbounded scores that depend on sample size, hindering reliable cross-scenario benchmarking. To address these challenges, we develop a unified topological toolkit serving two complementary needs: fine-grained structural diagnosis and robust, standardized evaluation. First, we complete the RTD framework by introducing Symmetric Representation Topology Divergence (SRTD) and ...

Large language model (LLM) deployments for long-horizon tasks face a fundamental constraint: context windows are finite while productive work sessions are not. When history exceeds the Maximum Effective Context Window (MECW), critical structured information - architectural decisions, task transitions, file histories - is silently discarded. Existing mitigations treat history as flat text, destroying the relational structure that makes sessions resumable. We present TokenMizer, an open-source proxy system that models LLM session history as a typed knowledge graph. The schema defines 14 node ty...

Performance estimation under distribution shift aims to predict how a model behaves on an unlabeled test set whose distribution differs from the training data, a scenario that requires reliable indicators that can faithfully reflect model behavior without ground-truth labels. Existing approaches rely solely on the outputs of the given model whose biases are amplified once the distribution shifts, weakening the correlation with the true performance. Motivated by this limitation, we propose Fused Reference Alignment Prediction (FRAP), which leverages the complementary strengths of an external f...

The California startup released the fourth-generation of its home assistance robot, Stretch.

Taiwan Semiconductor Manufacturing Co. - the world's biggest semiconductor-maker - is struggling to meet demands from American customers even with its factory buildout in the US, according to reports from Reuters and Bloomberg. "Customer demand is so high, and we can only support so much," TSMC CEO C.C. Wei said after a shareholder meeting on Thursday, Reuters reports. "We are doing our best to ensure TSMC does not become a bottleneck." The surge in AI use has already put constraints on the memory industry, with the widespread shortage of RAM and NAND Flash memory expected to last for years. ...

Hyperscalers have come under scrutiny for their impact on water quality and availability.

Apple's App Store generated $1.4 trillion in sales, up from $1.3 trillion last year, with $149 billion in sales for digital goods.

Today on Decoder, I’m talking to Ryan Mac, a technology reporter at The New York Times and coauthor of the excellent book Character Limit: How Elon Musk Destroyed Twitter, which came out in 2024. I can’t recommend it enough. I wanted to have Ryan on the show because we’re on the cusp of the SpaceX IPO, which promises to be one of the most consequential public offerings in history for a variety of reasons — its biggest-ever size, of course, at nearly $2 trillion dollars, but also because all kinds of rules that keep our markets fair are being bent, if not outright broken, along the way. I also...

Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete... Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete complex workflows. However, these multi-agent workflows cause token counts to grow quickly. Agents plan, call tools, invoke sub-agents, receive information, and then pass history, outputs, and reasoning steps back into the model… Source

Nobody should be subjected to seeing shrimp Jesus all over their social feeds. | Image: Cath Virginia / The Verge, Getty Images It's almost impossible to avoid seeing AI-generated content online, but it doesn't have to be this way. YouTube, Instagram, TikTok, and more have ramped up content authentication efforts over the last year, with many now automatically applying labels to distinguish AI-generated images, videos, and music from those made by real, human creators. That's all very well and good if we're just stumbling across labeled content at random, but you know what would be better? Le...

Some of the AI industry's biggest rivals have put their many, many grievances aside for a common cause: making it harder for people to use their technology to develop biological weapons. In an open letter to US lawmakers, tech leaders are pressing Congress to enact rules closing what they say is an alarming biosecurity gap that could help trigger a global pandemic. Anthropic's Dario Amodei, OpenAI's Sam Altman, and Microsoft's Mustafa Suleyman are among the signatories urging US lawmakers to require companies selling synthetic DNA and RNA - genetic material that can ordered online and assembl...

Learn how Endava is using AI agents, ChatGPT Enterprise, and Codex to accelerate software delivery, automate workflows, and build an AI-native culture across the enterprise.

Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them can’t afford to hire a lawyer, and others have cases too weak or too small to interest one. She reads each one carefully, mindful of how daunting…

An interview with Microsoft CEO Satya Nadella about figuring out Microsoft's role in AI, the relationship with OpenAI, Capex, Software, and a potential new agentic platform.

The design hasn’t changed much from the original Proteus, which was announced in 2022. | Image: Amazon Amazon has announced a new version of its fully autonomous warehouse robot, Proteus, that will can interact using language instead of code. The expanded capabilities come as part of a growing pivot toward automation as the e-commerce giant replaces its human workers with robots. Amazon says the AI-powered upgrade means its human employees can assign the robot tasks in the same way they'd communicate with colleagues. Previously, workers would need to use specialized software to direct the flo...

ChatGPT introduces a new memory system to better remember preferences, keeping context fresh and relevant across conversations.

a quiet day.

An action plan for AI-powered biological resilience

Lovable and Google signed an expanded multi-year deal athat involves a 5x expansion of Lovable's footprint on Google Cloud, and expanded access to Anthropic Claude.

Google must change AI Overviews after claiming users don't want "lots of sources."

If Alphabet's record-breaking, $85 billion stock sale signals investor appetite for AI-related offerings, we can see that investors are ready to chow.

Verified Generation and Compounding Intelligence

Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.

Dreambeans is a curated list of AI-illustrated "stories" culled from the personal data in your Google account.

Critics say Trump plan to test AI models is short-sighted, performative.