Can orbital data centers help justify a massive valuation for SpaceX?
On the latest episode of TechCrunch’s Equity podcast, we debated Elon Musk's vision for data centers in space.
In Japan, the robot isn’t coming for your job; it’s filling the one nobody wants
Driven by labor shortages, Japan is pushing physical AI from pilot projects into real-world deployment.
Anthropic says Claude Code subscribers will need to pay extra for OpenClaw usage
It’s about to become more expensive for Claude Code subscribers to use Anthropic’s coding assistant with OpenClaw and other third-party tools.
Supreme Court issues statement that Justice Alito was hospitalized approximately two weeks ago
Justice Samuel Alito was hospitalized on March 20 “[o]ut of an abundance of caution” and at the recommendation of his security detail, the Supreme Court’s Public Information Officer, Patricia McCabe, […]The postSupreme Court issues statement that Justice Alito was hospitalized...
Trump ignores biggest reasons his AI data center buildout is failing
Nearly 50% of data center projects delayed as China holds key to power infrastructure.
Anthropic is having a moment in the private markets; SpaceX could spoil the party
Glen Anderson, president of Rainmaker Securities, says the secondary market for private shares has never been more active — with Anthropic the hottest trade around, OpenAI losing ground, and SpaceX's looming IPO poised to reshape the landscape for everyone.
OpenAI executive shuffle includes new role for COO Brad Lightcap to lead ‘special projects’
In addition to Lightcap's new role, OpenAI CMO Kate Rouch will be stepping away from the company to focus on cancer recovery, with a plan to return when her health allows.
Anthropic buys biotech startup Coefficient Bio in $400M deal: Reports
Anthropic has purchased the stealth biotech AI startup Coefficient Bio in a $400 million stock deal, according to The Information and Eric Newcomer.
AI companies are building huge natural gas plants to power data centers. What could go wrong?
Meta, Microsoft, and Google are all betting big on new natural gas power plants to run their AI data centers. They may regret it.
People would rather have an Amazon warehouse in their backyard than a data center
A new poll shows that the debate over data centers is far from settled.
The Facebook insider building content moderation for the AI era
Moonbounce has raised $12 million to grow its AI control engine that converts content moderation policies into consistent, predictable AI behavior.
The Enumerated-Rights Reading of the Privileges or Immunities Clause: A Response to Barnett and Bernick
ARTICLE The Enumerated-Rights Reading of the Privileges or Immunities Clause: A Response to Barnett and Bernick Kurt T. Lash* In 1871, John Bingham explained the meaning of the Fourteenth Amendment’s Privileges or Immunities Clause—a clause Bingham himself drafted and had...
Learning ECG Image Representations via Dual Physiological-Aware Alignments
arXiv:2604.01526v1 Announce Type: new Abstract: Electrocardiograms (ECGs) are among the most widely used diagnostic tools for cardiovascular diseases, and a large amount of ECG data worldwide appears only in image form. However, most existing automated ECG analysis methods rely on...
Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial
arXiv:2604.01328v1 Announce Type: new Abstract: Traditional scientific discovery relies on an iterative hypothesise-experiment-refine cycle that has driven progress for centuries, but its intuitive, ad-hoc implementation often wastes resources, yields inefficient designs, and misses critical insights. This tutorial presents Bayesian Optimisation...
JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physics
arXiv:2604.01313v1 Announce Type: new Abstract: High-fidelity Monte Carlo simulations and complex inverse problems, such as mapping smeared experimental observations to ground-truth states, are computationally intensive yet essential for robust data analysis. Conditional Flow Matching (CFM) offers a mathematically robust approach...
TRIMS: Trajectory-Ranked Instruction Masked Supervision for Diffusion Language Models
arXiv:2604.00666v1 Announce Type: new Abstract: Diffusion language models (DLMs) offer a promising path toward low-latency generation through parallel decoding, but their practical efficiency depends heavily on the decoding trajectory. In practice, this advantage often fails to fully materialize because standard...
LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
arXiv:2604.00004v1 Announce Type: cross Abstract: The extension of context windows in Large Language Models is typically facilitated by scaling positional encodings followed by lightweight Continual Pre-Training (CPT). While effective for processing long sequences, this paradigm often disrupts original model capabilities,...
Yupp shuts down after raising $33M from a16z crypto’s Chris Dixon
Less than a year after launching, with checks from some of the biggest names in Silicon Valley, crowdsourced AI model feedback startup Yupp is closing its business, the company said Tuesday.
OpenAI acquires TBPN, the buzzy founder-led business talk show
TBPN, Silicon Valley's cult-favorite tech podcast, will operate independently, even as it's overseen by chief political operative Chris Lehane.
Polish phonology and morphology through the lens of distributional semantics
arXiv:2604.00174v1 Announce Type: new Abstract: This study investigates the relationship between the phonological and morphological structure of Polish words and their meanings using Distributional Semantics. In the present analysis, we ask whether there is a relationship between the form properties...
Brevity Constraints Reverse Performance Hierarchies in Language Models
arXiv:2604.00025v1 Announce Type: new Abstract: Standard evaluation protocols reveal a counterintuitive phenomenon: on 7.7% of benchmark problems spanning five datasets, larger language models underperform smaller ones by 28.4 percentage points despite 10-100x more parameters. Through systematic evaluation of 31 models...
Detecting Abnormal User Feedback Patterns through Temporal Sentiment Aggregation
arXiv:2604.00020v1 Announce Type: new Abstract: In many real-world applications, such as customer feedback monitoring, brand reputation management, and product health tracking, understanding the temporal dynamics of user sentiment is crucial for early detection of anomalous events such as malicious review...
Robust Graph Representation Learning via Adaptive Spectral Contrast
arXiv:2604.01878v1 Announce Type: new Abstract: Spectral graph contrastive learning has emerged as a unified paradigm for handling both homophilic and heterophilic graphs by leveraging high-frequency components. However, we identify a fundamental spectral dilemma: while high-frequency signals are indispensable for encoding...
English to Central Kurdish Speech Translation: Corpus Creation, Evaluation, and Orthographic Standardization
arXiv:2604.00613v1 Announce Type: new Abstract: We present KUTED, a speech-to-text translation (S2TT) dataset for Central Kurdish, derived from TED and TEDx talks. The corpus comprises 91,000 sentence pairs, including 170 hours of English audio, 1.65 million English tokens, and 1.40...
Improving Latent Generalization Using Test-time Compute
arXiv:2604.01430v1 Announce Type: new Abstract: Language Models (LMs) exhibit two distinct mechanisms for knowledge acquisition: in-weights learning (i.e., encoding information within the model weights) and in-context learning (ICL). Although these two modes offer complementary strengths, in-weights learning frequently struggles to...
Less than a month: StrictlyVC San Francisco brings leaders from TDK Ventures, Replit, and more together
StrictlyVC San Francisco brings leaders from TDK Ventures, Replit, and more together on April 30. Space is limited. Register here for your pass.
Meta’s natural gas binge could power South Dakota
Meta's upcoming Hyperion AI data center will be powered by 10 new natural gas plants.
Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking
arXiv:2604.01506v1 Announce Type: new Abstract: Long-tailed classification, where a small number of frequent classes dominate many rare ones, remains challenging because models systematically favor frequent classes at inference time. Existing post-hoc methods such as logit adjustment address this by adding...
Cognichip wants AI to design the chips that power AI, and just raised $60M to try
The firm says it can reduce the cost of chip development by more than 75% and cut the timeline by more than half.
Anthropic is having a month
A human really borks things at Anthropic for the second time this week.