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From Pixels to Nucleotides: End-to-End Token-Based Video Compression for DNA Storage

arXiv:2604.13667v1 Announce Type: new Abstract: DNA-based storage has emerged as a promising approach to the global data crisis, offering molecular-scale density and millennial-scale stability at low

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From Plausibility to Verifiability: Risk-Controlled Generative OCR with Vision-Language Models

DGX agent

arXiv:2603.19790v3 Announce Type: replace Abstract: Modern vision-language models (VLMs) can act as generative OCR engines, yet open-ended decoding can expose rare but consequential failures. We ident

model-releasesarxiv-cs-cv

16 Apr 2026

From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning

arXiv:2604.13398v1 Announce Type: new Abstract: While Aspect-based Sentiment Analysis (ABSA) systems have achieved high accuracy in identifying sentiment polarities, they often operate as 'black boxes

researcharxiv-cs-cl

From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space

arXiv:2604.14142v1 Announce Type: cross Abstract: While reinforcement learning with verifiable rewards (RLVR) significantly enhances LLM reasoning by optimizing the conditional distribution P(y|x), it

safetyarxiv-cs-cl

From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines

arXiv:2604.13468v1 Announce Type: cross Abstract: Generative information retrieval (GenIR) formulates the retrieval process as a text-to-text generation task, leveraging the vast knowledge of large la

applicationsarxiv-cs-cl

From Seeing it to Experiencing it: Interactive Evaluation of Intersectional Voice Bias in Human-AI Speech Interaction

arXiv:2604.13067v1 Announce Type: cross Abstract: SpeechLLMs process spoken language directly from audio, but accent and vocal identity cues can lead to biased behaviour. Current bias evaluations ofte

safetyarxiv-cs-cl

From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation

arXiv:2604.13793v1 Announce Type: new Abstract: Exo-to-Ego video generation aims to synthesize a first-person video from a synchronized third-person view and corresponding camera poses. While paired s

From Weights to Activations: Is Steering the Next Frontier of Adaptation?

model-releasesarxiv-cs-cl

arXiv:2604.14090v1 Announce Type: new Abstract: Post-training adaptation of language models is commonly achieved through parameter updates or input-based methods such as fine-tuning, parameter-efficie

From Where Words Come: Efficient Regularization of Code Tokenizers Through Source Attribution

arXiv:2604.14053v1 Announce Type: new Abstract: Efficiency and safety of Large Language Models (LLMs), among other factors, rely on the quality of tokenization. A good tokenizer not only improves infe

safetyarxiv-cs-cl

Frozen Forecasting: A Unified Evaluation

arXiv:2507.13942v2 Announce Type: replace Abstract: Forecasting future events is a fundamental capability for general-purpose systems that plan or act across different levels of abstraction. Yet, eval

Functional Emotions or Situational Contexts? A Discriminating Test from the Mythos Preview System Card

model-releasesarxiv-cs-cl

arXiv:2604.13466v1 Announce Type: cross Abstract: The Claude Mythos Preview system card deploys emotion vectors, sparse autoencoder (SAE) features, and activation verbalisers to study model internals

Fundamental Truths in VC today (as I see them) 1/ The barbell between large and small firms is as wide as it's ever been. These are genuinel…

Fundamental Truths in VC today (as I see them) 1/ The barbell between large and small firms is as wide as it's ever been. These are genuinely two distinct asset classes now, and LPs should treat them

agentsyohei-nakajima--x

@GaryMarcus Essentially your prediction that LLMs to scale wouldn’t solve key fundamental problems, reasoning, factual reliability, composit…

@GaryMarcus Essentially your prediction that LLMs to scale wouldn’t solve key fundamental problems, reasoning, factual reliability, compositionality, grounded understanding etc are now elephantine chi

safetygary-marcus--x

@GaryMarcus @sama We need to rediscover the power of Satyagraha (principled, ardent, nonviolent resistence)

Gary Marcus advocates for applying Satyagraha—a principle of nonviolent resistance emphasizing moral conviction—as a response to contemporary challenges, likely in the context of AI development and go

safetygary-marcus--x

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation

model-releasesarxiv-cs-cv

arXiv:2604.13803v1 Announce Type: new Abstract: Vision-language models are increasingly deployed in high-stakes settings, yet their susceptibility to sycophantic manipulation remains poorly understood

Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies

arXiv:2506.23640v2 Announce Type: replace-cross Abstract: Recently, researchers have explored ML-based Traffic Engineering (TE), leveraging neural networks to solve TE problems traditionally addressed

researcharxiv-cs-lg

Gemini can now create personalized AI images by digging around in Google Photos

model-releasesars-technica

Gemini now uses user interests and Google Photos to create personalized AI images without requiring long descriptions, allowing users to simply ask for pictures of themselves or family members. This f

Gemini can now pull from Google Photos to generate personalized images

model-releasesthe-verge-ai

Google's Personal Intelligence feature, which lets Gemini pull data from apps like Google Photos to offer responses tailored to you, can now use that data and its Nano Banana 2 image model to create i

Tutorials

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates

arXiv:2604.13130v1 Announce Type: new Abstract: We study learning to learn for regression problems through the lens of hyperparameter tuning. We propose the Langevin Gradient Descent Algorithm (LGD),

tutorialsarxiv-cs-lg

GeoBridge: A Semantic-Anchored Multi-View Foundation Model Bridging Images and Text for Geo-Localization

model-releasesarxiv-cs-cv

arXiv:2512.02697v3 Announce Type: replace Abstract: Cross-view geo-localization infers a location by retrieving geo-tagged reference images that visually correspond to a query image. However, the trad

Local Ai

GeoLink: A 3D-Aware Framework Towards Better Generalization in Cross-View Geo-Localization

arXiv:2604.13183v1 Announce Type: new Abstract: Generalizable cross-view geo-localization aims to match the same location across views in unseen regions and conditions without GPS supervision. Its cor

local-aiarxiv-cs-cv

Geometric Context Transformer for Streaming 3D Reconstruction

arXiv:2604.14141v1 Announce Type: new Abstract: Streaming 3D reconstruction aims to recover 3D information, such as camera poses and point clouds, from a video stream, which necessitates geometric acc

GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses

arXiv:2604.13248v1 Announce Type: new Abstract: Remote medical response systems are increasingly being deployed to support emergency care in disaster-affected and infrastructure-limited environments.

agentsarxiv-cs-ro

Germany-based Synera, which develops AI agents to automate CAD and engineering workflows, raised $40M to expand across Europe, the US, and Asia-Pacific (Duncan Riley/SiliconANGLE)

Duncan Riley / SiliconANGLE: Germany-based Synera, which develops AI agents to automate CAD and engineering workflows, raised 40M to expand across Europe, the US, and Asia-Pacific — German agentic art

agentstechmeme

Getting the Numbers Rightnicode{x2014}Modelling Multi-Class Object Counting in Dense and Varied Scenes

arXiv:2510.02213v2 Announce Type: replace Abstract: Density map estimation enables accurate object counting in heavily occluded, and densely packed scenes where detection-based counting fails. In mult

Giving Voice to the Constitution: Low-Resource Text-to-Speech for Quechua and Spanish Using a Bilingual Legal Corpus

arXiv:2604.13288v1 Announce Type: new Abstract: We present a unified pipeline for synthesizing high-quality Quechua and Spanish speech for the Peruvian Constitution using three state-of-the-art text-t

applicationsarxiv-cs-cl

GLM-5.1 Tool Calling Issue Fix & Chat Template Update If you are running GLM-5.1 with vLLM/SGLang and using tool calling, please update your…

model-releaseszhipu-ai--x

GLM-5.1 Tool Calling Issue Fix & Chat Template Update If you are running GLM-5.1 with vLLM/SGLang and using tool calling, please update your chat template. http://huggingface.co/zai-org/GLM-5.1/blob/m

Go from blank slate to analysis with BigQuery Studio notebook gallery templates

model-releasesgoogle-cloud-ai

For many data professionals, the most daunting part of a new project isn't the complexity of the data or the sophistication of the model, it’s the 'blank slate.' Staring at an empty notebook while cre

Goal2Skill: Long-Horizon Manipulation with Adaptive Planning and Reflection

arXiv:2604.13942v1 Announce Type: new Abstract: Recent vision-language-action (VLA) systems have demonstrated strong capabilities in embodied manipulation. However, most existing VLA policies rely on

agentsarxiv-cs-ro

Golden Handcuffs make safer AI agents

arXiv:2604.13609v1 Announce Type: new Abstract: Reinforcement learners can attain high reward through novel unintended strategies. We study a Bayesian mitigation for general environments: we expand th

safetyarxiv-cs-lg

Good bot, swear like a sailor!

A Reddit post from r/ChatGPT in which a user shares an interaction where they prompted ChatGPT to use profanity or adopt an uncensored, sailor-like manner of speaking. The post likely showcases the AI

industryr-chatgpt

Google introduces new agentic AI-ready tools and resources for Android developers

Google LLC’s Android team is introducing new ways to build high-quality software for its mobile platform with artificial intelligence agents. Today, the company provided two new tool suites, including

agentssiliconangle

Google updates AI Mode in Chrome, letting users open links side by side with AI Mode on desktop; users can search across multiple tabs on desktop and mobile (Aisha Malik/TechCrunch)

Aisha Malik / TechCrunch: Google updates AI Mode in Chrome, letting users open links side by side with AI Mode on desktop; users can search across multiple tabs on desktop and mobile — Google announce

industrytechmeme

Google’s AI Mode update lets you open links without leaving the page

Google is upgrading AI Mode in Chrome with a new feature that will allow you to open links to sources alongside your chat. Now, instead of automatically opening a new tab, clicking a source will open

industrythe-verge-ai

Google’s DeepMind just released new 4B and 27B MedGemma models!

Google DeepMind released MedGemma, a collection of medical vision-language foundation models based on Gemma 3 in 4B and 27B parameter sizes, demonstrating advanced medical understanding and reasoning

model-releasesr-ollama

Google’s Gemini 3.1 Flash TTS model offers unparalleled control over AI voices

model-releasessiliconangle

Google LLC’s DeepMind artificial intelligence unit today rolled out a new text-to-speech model called Gemini 3.1 Flash TTS. Unlike its earlier, robotic predecessors, it enables users to direct the voc

GPT-Rosalind, our Life Sciences model series, is optimized for scientific workflows, with stronger performance in protein and chemical reaso…

GPT-Rosalind, our Life Sciences model series, is optimized for scientific workflows, with stronger performance in protein and chemical reasoning, genomics analysis, biochemistry knowledge, and scienti

agentsopenai--x

Gradient Descent's Last Iterate is Often (slightly) Suboptimal

arXiv:2604.13870v1 Announce Type: cross Abstract: We consider the well-studied setting of minimizing a convex Lipschitz function using either gradient descent (GD) or its stochastic variant (SGD), and

researcharxiv-cs-lg

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests

arXiv:2604.13722v1 Announce Type: new Abstract: We address the challenge of synthetic-to-real transfer in forestry perception where real data have only coarse Tree labels while synthetic data provide

Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction

arXiv:2603.12725v3 Announce Type: replace Abstract: In-context operator learning enables neural networks to infer solution operators from contextual examples without weight updates. While prior work h

applicationsarxiv-cs-lg

Graph Propagated Projection Unlearning: A Unified Framework for Vision and Audio Discriminative Models

arXiv:2604.13127v1 Announce Type: new Abstract: The need to selectively and efficiently erase learned information from deep neural networks is becoming increasingly important for privacy, regulatory c

Local Ai

Great blogpost from @pcuenq on making a new skill + test harness to automate porting new models from Transformers to mlx-lm

This post discusses a blog article by @pcuenq that covers the process of creating new skills and test harnesses to automate the conversion of machine learning models from the Hugging Face Transformers

local-aiclem-delangue--x

Tools

Great to be at HumanX with @Silverside_AI @LumaLabsAI and @krea_ai The SF frontier AI builder community keeps getting stronger. We're not do…

Great to be at HumanX with @Silverside_AI @LumaLabsAI and @krea_ai The SF frontier AI builder community keeps getting stronger. We're not done yet. Keep track of when and where you can meet up with th

toolsfireworks-ai--x

GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Tasks

arXiv:2510.00573v2 Announce Type: replace Abstract: Robotic food scooping is a critical manipulation skill for food preparation and service robots. However, existing robot learning algorithms, especia

safetyarxiv-cs-ro

“Grounded” has officially become my least favorite word

A Reddit post on r/ChatGPT expressing user frustration with the word 'grounded' being overused in ChatGPT's responses, reflecting a broader community complaint about repetitive, AI-characteristic lang

industryr-chatgpt

Guided Transfer Learning for Discrete Diffusion Models

arXiv:2512.10877v4 Announce Type: replace Abstract: Discrete diffusion models (DMs) have achieved strong performance in language and other discrete domains, offering a compelling alternative to autore

applicationsarxiv-cs-lg

Had a great time at PyCon & PyData DE. Highly recommend it. Great open-source, community-focused conference with lots of builders in the Pyt…

model-releasessebastian-raschka--x

Had a great time at PyCon & PyData DE. Highly recommend it. Great open-source, community-focused conference with lots of builders in the Python AI, LLM and agent space. Taking a short family break, my

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy

arXiv:2510.00695v3 Announce Type: replace-cross Abstract: Inherently, robotic manipulation tasks are history-dependent: leveraging past context could be beneficial. However, most existing Vision-Langu

safetyarxiv-cs-cv