It has been revealed that Diatec, known for its Majestouch series of mechanical keyboards, has ceased operations (closed down). Diatec Co., Ltd. https://www.diatec.co.jp/index.html Diatec was a company that sold keyboards under its own brand,

Google Flow Music is a generative AI platform for creating, remixing, and sharing studio-quality songs. Direct music videos, vibe-code new instruments, and personalize your sound effortlessly.

By: Emily M. Bender and Decca Muldowney At a recent appointment, Emily’s physical therapist (who knows some about her research) said, “Before we get started,...

How to use a file index to mount a tar.gz archive directly into the Emscripten virtual filesystem without extracting it

Adult and gambling make ordinary company-building unusually hard.

Fragmented systems are brittle. Coherent systems are special-purpose. We need a new, general-purpose model so we can build coherent, multi-domain applications.

Like it or not, there’s a clear scientific consensus

Language models trained on natural text learn to represent numbers using periodic features with dominant periods at $T=2, 5, 10$. In this paper, we identify a two-tiered hierarchy of these features: while Transformers, Linear RNNs, LSTMs, and classical word embeddings trained in different ways all learn features that have period-$T$ spikes in the Fourier domain, only some learn geometrically separable features that can be used to linearly classify a number mod-$T$. To explain this incongruity, we prove that Fourier domain sparsity is necessary but not sufficient for mod-$T$ geometric separability. Empirically, we investigate when model training yields geometrically separable features, finding that the data, architecture, optimizer, and tokenizer all play key roles. In particular, we identify two different routes through which models can acquire geometrically separable features: they can learn them from complementary co-occurrence signals in general language data, including text-number co-occurrence and cross-number interaction, or from multi-token (but not single-token) addition problems. Overall, our results highlight the phenomenon of convergent evolution in feature learning: A diverse range of models learn similar features from different training signals.

Nowhere encodes an entire website into a URL. The content lives in the link itself and is never stored on a server. Hosted nowhere, present everywhere.

My thoughts on why enterprise knowledge systems have failed for sixty years, and what might finally replace them.

A couple of weeks ago I demoed one part of what I have been building to a senior exec at a global enterprise - someone who had been asked to lead and

A closer look at Mozilla's Firefox 150 "271 vulnerabilities" fixes and what they do, and do not, tell us about the alarming claims we can read online and AI-assisted vulnerability research.

Transient, star-like point sources that appear and vanish over short timescales are described in astronomical images prior to launch of Sputnik. We have reported that transient numbers diminish significantly in Earth's shadow (shadow deficit) and are more likely within (plus/minus) one day of nuclear testing (nuclear window). These findings remain debated with some arguing that transients identified via existing automated pipelines are simply plate defects. Therefore, we use machine learning (ML) to enhance transient identification accuracy and validate the phenomenon. The model was trained against 250 transient image pairs taken 30 minutes apart that were classified as real versus plate defect by expert visual review; the model demonstrated good discrimination (out-of-fold AUC$=$0.81; sensitivity$=$0.71, specificity$=$0.71). After deployment in a dataset of 107,875 previously-identified transients, the model assigned each a probability of being real. After controlling for ML-identified artifacts, transient counts were significantly elevated for dates within a nuclear window (p$=$.024); transients with the highest probability of being real were more likely to occur within a nuclear window (p$<$.0001). The shadow deficit was significant (p$<$.0001) and largest in the highest probability transients relative to lower probability transients (p$=$.003). Results strongly support existence of an unrecognized population of transient objects in historical astronomical plates warranting further study.

Sandboxed AI agent orchestration platform. Contribute to superhq-ai/superhq development by creating an account on GitHub.

Tesla disclosed in a single sentence in its Q1 2026 10-Q that it agreed to acquire an unnamed AI hardware company for up to $2 billion in stock — a deal it never mentioned in its shareholders' letter or earnings call.

This post is about our updated application for our retreat.

A personal knowledge base that turns freeform notes into a semantically-connected, AI-augmented knowledge graph.

Contribute to delta-hq/cc-canary development by creating an account on GitHub.

After tinkering with Claude Code routines, I wondered: how far could I push this?

Terminal Markdown previewer — GUI-like experience. - RivoLink/leaf

Notifies you when someone replies to your Hacker News posts and comments. - adam-s/HNswered