All entries

Anthropic researchers detail 'model spec midtraining', which adds a stage between pretraining and fine-tuning to improve generalization from alignment training (Anthropic)

Anthropic: Anthropic researchers detail “model spec midtraining”, which adds a stage between pretraining and fine-tuning to improve generalization from alignment training — Sara Price2, Samuel Marks2,

safetytechmeme

Industry

Anthropic says it signed a deal with SpaceX to use 'all of the compute capacity' at Colossus 1, giving it access to over 300 MW of new capacity within the month (Axios)

DGX agent

Axios: Anthropic says it signed a deal with SpaceX to use “all of the compute capacity” at Colossus 1, giving it access to over 300 MW of new capacity within the month — Anthropic said Wednesday it ha

industrytechmeme

6 May 2026

Anthropic to use SpaceX’s Colossus 1 supercomputer for inference

model-releasessiliconangle

Anthropic PBC today announced that it will use SpaceX Corp.’s Colossus 1 supercomputer to power its Claude chatbot. The system was originally built in 2024 by xAI Holdings Corp., an artificial intelli

APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music

arXiv:2605.03395v1 Announce Type: cross Abstract: Music popularity prediction has attracted growing research interest, with relevance to artists, platforms, and recommendation systems. However, the ex

APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks

arXiv:2605.02346v1 Announce Type: cross Abstract: Bare-metal operational technology (OT) devices -- especially the microcontrollers running Modbus/TCP and CoAP at the base of industrial control system

agentsarxiv-cs-ai

Tutorials

Approaching human parity in the quality of automated organoid image segmentation

arXiv:2605.03053v1 Announce Type: new Abstract: Organoids are complex, three dimensional, self-organizing cell cultures which manifest organ-like features and represent a powerful platform for studyin

tutorialsarxiv-cs-cv

Architectural Obsolescence of Unhardened Agentic-AI Runtimes

arXiv:2605.01740v1 Announce Type: cross Abstract: An agentic-AI runtime issues tool calls, sends messages, and actuates devices on behalf of an LLM. Catching the four ways an action can diverge from i

safetyarxiv-cs-ai

Are LLMs More Skeptical of Entertainment News?

model-releasesarxiv-cs-ai

arXiv:2605.01727v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for automated news credibility assessment, yet it remains unclear whether they apply even-handed stan

Are we Doomed to an AI Race? Why Self-Interest Could Drive Countries Towards a Moratorium on Superintelligence

arXiv:2605.01297v1 Announce Type: cross Abstract: This paper uses game theory to argue that, contrary to the prevailing view, a moratorium on Artificial Superintelligence (ASI) can be in a state's sel

researcharxiv-cs-ai

Industry

Arista’s stock declines despite another solid earnings and revenue beat

Shares of Arista Networks Inc. were tumbling in late trading today, even though the company delivered a solid earnings and revenue beat and offered guidance that came in above Wall Street’s expectatio

industrysiliconangle

Industry

Arm reports Q4 revenue up 20% YoY to 1.5B, says AGI CPU demand will drive 2B in sales in 2027 and 2028, over 2x its prior guidance; ARM jumps 11%+ after hours (Michael Acton/Financial Times)

Michael Acton / Financial Times: Arm reports Q4 revenue up 20% YoY to 1.5B, says AGI CPU demand will drive 2B in sales in 2027 and 2028, over 2x its prior guidance; ARM jumps 11%+ after hours — SoftBa

industrytechmeme

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance

model-releasesarxiv-cs-ai

arXiv:2605.01420v1 Announce Type: new Abstract: Artificial Jagged Intelligence (AJI) denotes a recurring pattern in which large learning systems exhibit strong local capabilities while remaining weak

Industry

Arvind Krishna AMA at IBM Think 2026: Openness, integration and key questions on the IBM AI stack

IBM Corp. entered Think 2026 with a different posture than the market is used to. In this artificial intelligence cycle, the company is leaning hard into openness and ecosystem – and doing it without

industrysiliconangle

arXiv Papers → LLM Artifacts This is how I keep up with AI research now. It's like having access to the most personalized arXiv feed. Automa…

arXiv Papers → LLM Artifacts This is how I keep up with AI research now. It's like having access to the most personalized arXiv feed. Automations run everyday to curate papers based a set of rules and

agentsdair-ai--x

As agents generate more code, review is becoming the bottleneck. You can write a PR in minutes, but understanding whether it's correct, safe…

As agents generate more code, review is becoming the bottleneck. You can write a PR in minutes, but understanding whether it's correct, safe, and ready to merge still takes longer than writing it. Dev

agentscognition-ai--x

Tools

As agents generate more code, review is becoming the bottleneck. You can write a PR in minutes, but understanding whether it's correct, safe…

asking my cofounder if we can do a few more things in parallel and it’s pushing back saying we should wait (kind of weird that it feels like…

asking my cofounder if we can do a few more things in parallel and it’s pushing back saying we should wait (kind of weird that it feels like a real cofounder, i need to custom prompt it some more pers

agentsyohei-nakajima--x

AsymK-Talker: Real-Time and Long-Horizon Talking Head Generation via Asymmetric Kernel Distillation

arXiv:2605.02948v1 Announce Type: new Abstract: Recent advances in diffusion models have markedly enhanced the visual fidelity of audio-driven talking head generation. Nevertheless, existing methods a

Atlassian opens Teamwork Graph and pushes Rovo into agentic execution at Team ’26

Atlassian Corp. today unveiled a sweeping set of artificial intelligence updates at its annual Team ’26 conference, headlined by the broad opening of its Teamwork Graph and the evolution of its Rovo A

agentssiliconangle

Applications

Atlassian puts context at the center of AI-native teamwork: theCUBE’s analyst insight

AI-native teamwork has arrived, and the enterprise that controls context might very well control everything else. That theme came through clearly during this week’s Atlassian Team event in Anaheim, Ca

applicationssiliconangle

Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial

arXiv:2605.03916v1 Announce Type: new Abstract: Question: Does atomic fact-checking, which decomposes AI treatment recommendations into individually verifiable claims linked to source guideline docume

researcharxiv-cs-cl

Attribution-Guided Masking for Robust Cross-Domain Sentiment Classification

arXiv:2605.03091v1 Announce Type: new Abstract: While pre-trained Transformer models achieve high accuracy on in-domain sentiment classification, they frequently experience severe performance degradat

Audio-Visual Intelligence in Large Foundation Models

arXiv:2605.04045v1 Announce Type: new Abstract: Audio-Visual Intelligence (AVI) has emerged as a central frontier in artificial intelligence, bridging auditory and visual modalities to enable machines

safetyarxiv-cs-cv

Aura-CAPTCHA: A Reinforcement Learning and GAN-Enhanced Multi-Modal CAPTCHA System

arXiv:2508.14976v2 Announce Type: replace Abstract: We present Aura-CAPTCHA, a multi-modal verification system that integrates Generative Adversarial Networks (GANs), Reinforcement Learning (RL), and

agentsarxiv-cs-lg

Tools

Auto-add Git committers to your team

This Vercel feature automatically adds Git committers to a team workspace based on their commit activity, streamlining team collaboration by eliminating manual member invitations. The auto-add functio

toolsvercel-blog

Applications

Automating entire workflows will likely prove less of a sustainable moat than reimagining them to include humans in key ways, where AIs and …

applicationsethan-mollick--x

Sustainable competitive advantage in AI implementation comes from redesigning workflows to strategically integrate human expertise rather than pursuing full automation, as human-AI collaboration creat

AutoRAGTuner: A Declarative Framework for Automatic Optimization of RAG Pipelines

model-releasesarxiv-cs-cl

arXiv:2605.02967v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances LLMs, but performance is highly sensitive to complex architecture designs and hyper-parameter configurat

b9041

local-aillama-cpp-releases

llama.cpp b9041 is a release build of llama.cpp, an LLM inference library written in C/C++ . The build identifier indicates this is an intermediate development release from the ggml-org/llama.cpp proj

b9047

local-aillama-cpp-releases

b9047 is a build release of llama.cpp, an open-source C/C++ library for running large language model inference on consumer hardware. The release includes pre-compiled binaries for multiple platforms i

b9048

local-aillama-cpp-releases

B9048 is a build/release of llama.cpp, an open-source C/C++ implementation for running large language model inference. The release includes optimizations and improvements to the core llama.cpp softwar

Bandits attack function optimization

model-releasesarxiv-cs-lg

arXiv:2605.03496v1 Announce Type: new Abstract: We consider function optimization as a sequential decision making problem under budget constraint. This constraint limits the number of objective functi

Bandits on graphs and structures

arXiv:2605.03493v1 Announce Type: new Abstract: The goal of this thesis is to investigate the structural properties of certain sequential problems in order to bring the solutions closer to a practical

Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks

model-releasesarxiv-cs-cv

arXiv:2605.03759v1 Announce Type: new Abstract: While Large Vision-Language Models (LVLMs) offer powerful capabilities, they pose privacy risks by unintentionally memorizing sensitive personal informa

Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior

arXiv:2603.05612v2 Announce Type: replace-cross Abstract: Brain-wide recordings of large-scale networks of neurons now provide an unprecedented view into how the brain drives behavior. However, brain

Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs

model-releasesarxiv-cs-cv

arXiv:2512.09874v2 Announce Type: replace Abstract: Correctly parsing mathematical formulas from PDFs is critical for training large language models and building scientific knowledge bases from academ

Benchmarking Local Language Models for Social Robots using Edge Devices

arXiv:2605.03111v1 Announce Type: cross Abstract: Social-educational robots designed for socially interactive pedagogical support, such as the Robot Study Companion (RSC), rely on responsive, privacy-

local-aiarxiv-cs-cl

Benchmarking Logistic Regression, SVM, Naive Bayes, and IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian Product Reviews

arXiv:2605.03439v1 Announce Type: new Abstract: The exponential growth of e-commerce platforms in Indonesia has generated a massive volume of user-generated product reviews. Analyzing the sentiment of

researcharxiv-cs-cl

Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpus

model-releasesarxiv-cs-cl

arXiv:2605.03742v1 Announce Type: new Abstract: This paper is devoted to the adaptation of generative large language models for the Tajik language, a low-resource language with Cyrillic script. To ove

Hardware

Bengaluru-based Pronto, an on-demand home-help service, raised a 20M Series B extension from Lachy Groom at a 200M valuation, up from $100M in March (Jagmeet Singh/TechCrunch)

Jagmeet Singh / TechCrunch: Bengaluru-based Pronto, an on-demand home-help service, raised a 20M Series B extension from Lachy Groom at a 200M valuation, up from $100M in March — Lachy Groom, one of S

hardwaretechmeme

Best value upgrade path from 12GB VRAM RTX4080, 16GB system RAM gaming laptop for local LLM inference?

This post discusses upgrade recommendations for improving local LLM inference performance on a gaming laptop with an RTX 4080 (12GB VRAM) and 16GB system RAM. Community members likely shared options f

local-air-ollama

Best way to generate AI images locally on AMD RX 9070 XT?

local-air-stablediffusion

The AMD Radeon RX 9070 XT supports local AI image generation with significant performance improvements, including up to 4.3x faster Stable Diffusion 1.5 and 3.1x faster SDXL 1.0 performance . Users ca

BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations

arXiv:2506.02587v2 Announce Type: replace Abstract: Accurate LiDAR-camera calibration is fundamental to fusing multi-modal perception in autonomous driving and robotic systems. Traditional calibration

agentsarxiv-cs-cv

Beyond Activation Alignment: The Geometry of Neural Sensitivity

arXiv:2605.03222v1 Announce Type: new Abstract: Activation-alignment measures such as Representational Similarity Analysis (RSA), Canonical Correlation Analysis (CCA), and Centered Kernel Alignment (C

safetyarxiv-cs-lg

Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents

arXiv:2512.22608v3 Announce Type: replace Abstract: Due to the high value and high failure rates of startups, predicting their success is a critical challenge. Existing approaches typically model star

agentsarxiv-cs-ai

Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability

arXiv:2603.10384v2 Announce Type: replace Abstract: Evaluating LLM reliability via scalar probabilities often fails to capture the structural dynamics of reasoning. We introduce TRACED, a framework th

researcharxiv-cs-ai

Beyond State Machines: Executing Network Procedures with Agentic Tool-Calling Sequences

arXiv:2605.02584v1 Announce Type: cross Abstract: Agentic AI will be an essential enabling technology for designing future mobile communication systems, which could provide flexible and customized ser

agentsarxiv-cs-ai

BFORE: Butterfly-Firefly Optimized Retinex Enhancement for Low-Light Image Quality Improvement

model-releasesarxiv-cs-cv

arXiv:2605.03509v1 Announce Type: new Abstract: Low-light image enhancement is a fundamental challenge in computer vision and multimedia applications, as images captured under insufficient illuminatio

BifrostUMI: Bridging Robot-Free Demonstrations and Humanoid Whole-Body Manipulation

arXiv:2605.03452v1 Announce Type: new Abstract: High-quality data collection is a fundamental cornerstone for training humanoid whole-body visuomotor policies. Current data acquisition paradigms predo

safetyarxiv-cs-ro