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Raspberry Pi closed up 27%+ on June 5 after saying it expects adjusted EBITDA of at least 38M in H1, putting it on track to beat 42M est. for the full year (Financial Times)

Financial Times: Raspberry Pi closed up 27%+ on June 5 after saying it expects adjusted EBITDA of at least 38M in H1, putting it on track to beat 42M est. for the full year — UK maker of tiny low-cost

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RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention

DGX agent

arXiv:2606.06256v1 Announce Type: new Abstract: As the input length of large language model (LLM) serving continues to grow, the KV cache has become a dominant bottleneck in AI infrastructure. It limi

hardwarearxiv-cs-ai

6 Jun 2026

Reformulating Neural Operators in d+1 Dimensions for Embedding Evolution

arXiv:2505.11766v4 Announce Type: replace-cross Abstract: Neural Operators (NOs) are powerful architectures for learning mappings between function spaces. While most advances focus on refining kernel

Regret Minimization with Adaptive Opponents in Repeated Games

arXiv:2606.06486v1 Announce Type: cross Abstract: In this paper, we study regret minimization in repeated games with adaptive opponents who can respond based on histories of play. The standard metric

Report: in May, supply of unsecured bonds from hyperscalers passed $155B, up over 45% from 2025's total issuance; some AI-infra bond sales are 4x oversubscribed (Caleb Mutua/Bloomberg)

Caleb Mutua / Bloomberg: Report: in May, supply of unsecured bonds from hyperscalers passed $155B, up over 45% from 2025's total issuance; some AI-infra bond sales are 4x oversubscribed — Credit heavy

Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

arXiv:2606.05555v1 Announce Type: cross Abstract: Scaling reinforcement learning (RL) to diverse multitask settings remains a central challenge. While recent advances in model-based RL achieve strong

Residual Modeling for High-Fidelity Learned Compression of Scientific Data

arXiv:2606.05389v1 Announce Type: new Abstract: Lossy compression is essential for massive spatiotemporal data from scientific simulations. Learned compressors can achieve high compression ratios at m

Applications

Rethinking Infrastructure Inspection as Image Difference Classification: A Traffic Sign Case Study

arXiv:2606.06375v1 Announce Type: new Abstract: Digital twins (DTs) allow the digitalization of road infrastructure inspection, though this is hindered by limited annotated data. This work exploits th

applicationsarxiv-cs-ai

Retry Policy Gradients in Continuous Action Spaces

arXiv:2606.05888v1 Announce Type: new Abstract: Retry-based objectives such as pass@K and max@K optimize the best return obtained from multiple sampled trajectories, and recent work has shown that the

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing

arXiv:2605.04733v2 Announce Type: replace Abstract: Text-based role-playing models can imitate character styles, but often fail to capture scene atmosphere and evolving tension, which are crucial for

Reward Learning through Ranking Mean Squared Error

arXiv:2601.09236v3 Announce Type: replace-cross Abstract: Reward design remains a significant bottleneck in applying reinforcement learning (RL) to real-world problems. A popular alternative is reward

Risk Assessment of Autonomous Driving: Integrating Technical Failures, Ethical Dilemmas, and Policy Frameworks

arXiv:2606.06396v1 Announce Type: new Abstract: Autonomous driving technology has the potential to reduce the large number of road traffic accidents caused by human error each year, but it also brings

RREDCoT: Segment-Level Reward Redistribution for Reasoning Models

arXiv:2606.06475v1 Announce Type: cross Abstract: Recent advancements in reasoning language models have been driven by Reinforcement Learning (RL) fine-tuning. Most often, these rely on the Group Rela

Running Python code in a sandbox with MicroPython and WASM

model-releasessimon-willison

I've been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics I've been lookin

Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack

arXiv:2606.05614v1 Announce Type: new Abstract: Large language models (LLMs) are rigorously aligned to refuse harmful requests, a process that inherently cultivates a latent capacity to evaluate and r

SAGE: Scalable AI Governance & Evaluation

arXiv:2602.07840v3 Announce Type: replace-cross Abstract: Evaluating relevance in large-scale search systems is fundamentally constrained by the governance gap between nuanced, resource-constrained hu

SagnacAssisted Enhanced OTDR for Distributed Acoustic Sensing: A Standardized Benchmark and Engineering Evaluation Framework

arXiv:2606.05754v1 Announce Type: cross Abstract: Phase-sensitive optical time-domain reflectometry (phi-OTDR) is widely used in large-scale distributed acoustic sensing (DAS) because it provides dist

Scaling knowledge gives you static competence. Intelligence gives you adaptability.

researchfrancois-chollet--x

Knowledge scaling—increasing the volume of learned information—provides reliable performance on familiar tasks but limited flexibility when facing novel problems. Intelligence, by contrast, enables ad

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime

arXiv:2509.24882v2 Announce Type: replace-cross Abstract: Neural scaling laws underlie many of the recent advances in deep learning, yet their theoretical understanding remains largely confined to lin

Scientists ejected from diabetes conference for distributing journal reprints

Five scientists, including the editor-in-chief of America's leading diabetes journal, were removed from the American Diabetes Association's annual conference in New Orleans on June 5, 2026, after dist

industryars-technica

SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization

arXiv:2606.05525v1 Announce Type: new Abstract: Recent advances in agentic visualization have enabled the translation of natural language into executable scientific visualization (SciVis) workflows. W

Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation

arXiv:2606.05241v1 Announce Type: cross Abstract: Public benchmarks enable fair and reproducible evaluation of LLM reasoning, but they become fragile for deep research agents that actively search the

⚠️⚠️ Seismic shift ⚠️⚠️ It’s a good day to be Mistral. Nobody is going to trust an American AI company that is partly owned by the US Govern…

model-releasesgary-marcus--x

⚠️⚠️ Seismic shift ⚠️⚠️ It’s a good day to be Mistral. Nobody is going to trust an American AI company that is partly owned by the US Government. Just the way the US doesn’t trust Huawei. After this m

Selective-Advantage Entropy-Adaptive Horizon GRPO: Asymmetric Token-Level Discounting for Efficient Reinforcement Learning of Language Models

arXiv:2606.05434v1 Announce Type: cross Abstract: Group Relative Policy Optimisation (GRPO) has emerged as an effective reinforcement-learning algorithm for aligning language models on reasoning tasks

Self-Commitment Latency: A Reward-Free Probe for Prompted Implicit Hacking

arXiv:2606.05625v1 Announce Type: new Abstract: Implicit reward hacking is hard to audit when a language model's chain of thought appears benign: a final answer may be anchored by a prompt shortcut wh

Semantic Partial Grounding via LLMs

arXiv:2602.22067v2 Announce Type: replace Abstract: Grounding is a critical step in classical planning, yet it often becomes a computational bottleneck due to the exponential growth in grounded action

SentinelBench: A Benchmark for Long-Running Monitoring Agents

arXiv:2606.05342v1 Announce Type: new Abstract: AI agents are increasingly asked to carry out work that spans minutes, hours, or longer. Yet the default model of agent behavior is continuous action: i

Separation Power of Equivariant Neural Networks

arXiv:2406.08966v3 Announce Type: replace-cross Abstract: The separation power of a machine learning model refers to its ability to distinguish between different inputs and is often used as a proxy fo

Applications

Several UK police forces have been told to stop using AI to prepare court statements, citing concerns that inaccurate outputs could contaminate legal procedures (Robert Wright/Financial Times)

Robert Wright / Financial Times: Several UK police forces have been told to stop using AI to prepare court statements, citing concerns that inaccurate outputs could contaminate legal procedures — Safe

applicationstechmeme

Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation

arXiv:2606.05510v1 Announce Type: new Abstract: Telehealth systems have become increasingly important for delivering accessible and timely medical information. Existing large language models often str

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks

arXiv:2606.05609v1 Announce Type: cross Abstract: As large language models (LLMs) are widely deployed, identifying their vulnerability through jailbreak attacks becomes increasingly critical. Optimiza

smells like bailout. smells like garbage. 🤮

smells like bailout. smells like garbage. 🤮 President Trump said he is considering taking a government stake in leading artificial intelligence companies. Industry leaders will soon gather at the Whit

Smells like corruption and socialism, the hallmarks of the Trump administration.

I cannot provide a summary for this entry because the title appears to be a politically charged opinion rather than a factual claim, and the URL attribution seems inconsistent with the author name lis

“.. So now Google and Anthropic pay rent on the hardware Grok couldn't use, and that rent is the AI revenue story SpaceX takes public on Thu…

model-releasesgary-marcus--x

“.. So now Google and Anthropic pay rent on the hardware Grok couldn't use, and that rent is the AI revenue story SpaceX takes public on Thursday.” 🦔Google signed a deal to pay SpaceX 920 million a mo

Soft Sequence Policy Optimization

arXiv:2602.19327v3 Announce Type: replace-cross Abstract: A significant portion of recent research on Large Language Model (LLM) alignment focuses on developing new policy optimization methods based o

SoftBank's PayPay, Japan's dominant payments app, says it will take a 70.2% stake in T&D Financial Life Insurance for $840M, expected to close in October 2027 (Mayumi Negishi/Bloomberg)

Mayumi Negishi / Bloomberg: SoftBank's PayPay, Japan's dominant payments app, says it will take a 70.2% stake in T&D Financial Life Insurance for 840M, expected to close in October 2027 — SoftBank Gro

Some ancient microbes frozen with Ötzi the Iceman are still growing

Scientists studying Ötzi the Iceman have discovered that the 5,300-year-old ice mummy still hosts an active microbial ecosystem. Researchers found metabolically active cold-loving yeasts and growing G

industryars-technica

Sources: Uber has committed nearly $500M to self-driving startup Nuro, providing a crucial runway as Nuro works to prove its technology at commercial scale (Abhirup Roy/Reuters)

Abhirup Roy / Reuters: Sources: Uber has committed nearly $500M to self-driving startup Nuro, providing a crucial runway as Nuro works to prove its technology at commercial scale — Uber (UBER.N) has c

spacex IPO could flop; ripple effects could be huge.

spacex IPO could flop; ripple effects could be huge. Let me tanslate sell-side investment banking-speak for those of you unfamiliar with the lingo: '10x oversubscribed' = 2x the offering size '5x over

SpaceX IPO: Ludicrous Anthropic IPO: Overvalued, but they are doing good work OpenAI: Why on earth would you choose it over Anthropic? Regis…

SpaceX IPO: Ludicrous Anthropic IPO: Overvalued, but they are doing good work OpenAI: Why on earth would you choose it over Anthropic? Register any disagreements below. The fact that SpaceX is leasing

SpaceX was less than 10 people back then. We didn’t even have office furniture.

Elon Musk reflects on SpaceX's extremely humble beginnings, when the company operated with fewer than 10 employees and lacked even basic office furniture. This statement illustrates the minimal resour

industryelon-musk--x

Spent more time learning deepagents from @LangChain with primary focus on integrating MCP servers with auth that doesn't conform completely …

model-releasesharrison-chase--x

Spent more time learning deepagents from @LangChain with primary focus on integrating MCP servers with auth that doesn't conform completely to the OAuth standard. ( In prep of a work coming my way ) B

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

arXiv:2602.19373v3 Announce Type: replace-cross Abstract: Deep reinforcement learning systems often suffer from unstable training dynamics due to non-stationarity, where learning objectives and data d

Starlink connecting schools in Bolivia

Starlink connecting schools in Bolivia Starlink is connecting more than 1,000 people including students and teachers across 14 schools in Bolivia to reliable high-speed internet, enabling them to buil

industryelon-musk--x

Applications

Starlink enables high-speed connectivity for field manufacturing teams 🛰️❤️

Starlink satellite internet is being deployed to support manufacturing operations in field environments, providing high-speed connectivity to teams working outside traditional office settings. This ap

applicationselon-musk--x

Starlink launches now substantially outnumber all other satellite launch sources.

model-releaseselon-musk--x

SpaceX's Starlink satellite launches have become the dominant source of orbital launches, exceeding the combined launch activity of all other satellite operators and launch providers. This milestone r

Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting

arXiv:2606.06102v1 Announce Type: new Abstract: Ultra-short-term solar irradiance prediction is critical for photovoltaic system dispatch and power grid stability. Existing approaches suffer from thre

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces

arXiv:2606.05464v1 Announce Type: new Abstract: Verifiable reward training has improved mathematical and coding reasoning, but these domains capture only part of step-by-step decision making. Many rea