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@aiDotEngineer we're also launching our special data track - here's a preview https://x.com/latentspacepod/status/2062972030606274785

@aiDotEngineer we're also launching our special data track - here's a preview https://x.com/latentspacepod/status/2062972030606274785 🆕 How to Stop Shipping Low-Quality RL Environments (with Examples)

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@apify How to train an AI chatbot: https://blog.apify.com/how-to-train-ai-chatbot/

DGX agent

This article from Apify's blog covers the process of training AI chatbots, likely including techniques for data preparation, model selection, and fine-tuning approaches. The content is shared by Pinec

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5 Jun 2026

Baby botulism outbreak: FDA still doesn't know cause—or how to prevent it

A multistate outbreak of infant botulism affected 48 infants across 17 states and was linked to ByHeart Whole Nutrition infant formula . The CDC declared the outbreak over on February 26, 2026 , thoug

tutorialsars-technica

Can Language Models Learn to Listen?

arXiv:2308.10897v2 Announce Type: replace Abstract: We present a framework for generating appropriate facial responses from a listener in dyadic social interactions based on the speaker's words. Given

CoFi-UCGen: Coarse-to-Fine Unsupervised Conditional Generation without Label Priors

arXiv:2606.05652v1 Announce Type: new Abstract: Unsupervised conditional image generation (UCGen) aims to control generation without relying on manually annotated labels, yet remains challenging due t

Data + AI Summit 2026: Insider’s Guide for Financial Services Leaders

This Databricks guide provides financial services leaders with essential information and strategies for attending or engaging with the Data + AI Summit 2026, covering industry-specific insights on lev

tutorialsdatabricks

Diff-CA: Separating Common and Salient Factors with Diffusion Models

arXiv:2606.06120v1 Announce Type: new Abstract: Contrastive Analysis aims to separate factors that are common between two data distributions from those that are salient to only one of them. Existing c

Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning

arXiv:2606.05471v1 Announce Type: new Abstract: Learning semantics is essential for deep learning models to be interpretable and better aligned with human reasoning. Concept-based models approach this

Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration

arXiv:2606.06278v1 Announce Type: new Abstract: Blind image restoration requires recovering clean images from observations corrupted by unknown and potentially mixed degradations. While recent determi

How to Stop Shipping Low-Quality RL Environments (with Examples)

This article discusses best practices for ensuring high-quality reinforcement learning (RL) environments, addressing common pitfalls that lead to poor simulation design and implementation. It likely p

tutorialslatent-space

Learning Self-Correction in Vision-Language Models via Rollout Augmentation

arXiv:2602.08503v2 Announce Type: replace-cross Abstract: Self-correction is essential for solving complex reasoning problems in vision-language models (VLMs). However, existing reinforcement learning

Love this. Juan Hernandez immigrates to the US, learns how to weld because it pays well, begins contracting at SpaceX, gets full time role +…

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Love this. Juan Hernandez immigrates to the US, learns how to weld because it pays well, begins contracting at SpaceX, gets full time role + $10,000 equity. It’s now worth just under a million dollars

Question from a beginner.

I don't have the ability to access or retrieve the content of specific Reddit posts from URLs. To write an accurate summary for your knowledge base, I would need you to either: 1. Share the text conte

tutorialsr-ollama

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling

arXiv:2606.06309v1 Announce Type: new Abstract: Video generation models based on Diffusion Transformers (DiTs) have achieved remarkable performance in video synthesis, yet they suffer from high infere

Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning

arXiv:2606.06041v1 Announce Type: new Abstract: As robotic systems become more sophisticated, the growing complexity of their motion planning models and the longer training times pose substantial chal

tutorialsarxiv-cs-ro

Second-order Gaussian directional derivative representations for image high-resolution corner detection

arXiv:2601.08182v2 Announce Type: replace Abstract: Corner detection is widely used in various computer vision tasks, such as image matching and 3D reconstruction. Our research indicates that there ar

Self-Augmenting Retrieval for Diffusion Language Models

arXiv:2606.06474v1 Announce Type: new Abstract: Discrete diffusion language models generate text by iteratively denoising an entire response in parallel. At each step, they predict tentative tokens fo

Want to hear about where ASR is headed? Check out @HuggingFace's webinar about their new Far-Field ASR Leaderboard with @shinjiw_at_cmu and …

Want to hear about where ASR is headed? Check out @HuggingFace's webinar about their new Far-Field ASR Leaderboard with @shinjiw_at_cmu and our own @Julianfmack on Thursday, June 11th. We'll be chatti

tutorialscohere--x

Writing this song felt like a musical departure and coming home at the same time. Creating something for Jessie was a new challenge and also…

Writing this song felt like a musical departure and coming home at the same time. Creating something for Jessie was a new challenge and also felt like second nature all at once. And being a @toystory

tutorialslinus-lee--x

ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models

arXiv:2606.04164v1 Announce Type: cross Abstract: Data samples used for training often differ from those encountered during fine-tuning and deployment, and while ML models show promise, their performa

“Altman just described a future where consumption goes up by orders of magnitude while his customers are already asking how to bring the bil…

“Altman just described a future where consumption goes up by orders of magnitude while his customers are already asking how to bring the bill down. Those two things can't coexist for long.” 🦔Sam Altma

tutorialsgary-marcus--x

Arithmetic Pedagogy for Language Models

arXiv:2606.05106v1 Announce Type: cross Abstract: We investigate whether methods of human mathematics pedagogy can guide the training of language models toward arithmetic reasoning. Building on the GA

Arizona Public Service, the state's largest utility, proposes a 45% electricity-rate increase for data centers to ensure 'that they are paying their fair share' (Jennifer Hiller/Wall Street Journal)

Jennifer Hiller / Wall Street Journal: Arizona Public Service, the state's largest utility, proposes a 45% electricity-rate increase for data centers to ensure “that they are paying their fair share”

tutorialstechmeme

🚨BREAKING: SPECIALIST DOCTOR SAYS HENRY NOWAK COULD HAVE LIVED IF NOT FOR POLICE In summary: - Henry was alive when they arrived and likely…

🚨BREAKING: SPECIALIST DOCTOR SAYS HENRY NOWAK COULD HAVE LIVED IF NOT FOR POLICE In summary: - Henry was alive when they arrived and likely clotted - Aggressive police intervention likely tore clot -

tutorialselon-musk--x

Can Crowdsourcing Survive the LLM Era? A Community Survey on Human Data Collection

arXiv:2606.04924v1 Announce Type: new Abstract: The widespread use of Large Language Models (LLMs) as writing tools challenges the validity of crowdsourced data, as crowdworkers may outsource tasks to

Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics

arXiv:2506.06006v3 Announce Type: replace-cross Abstract: Can unified vision-language models (VLMs) perform forward dynamics prediction (FDP), i.e., predicting the future state (in image form) given t

Characterizing, Evaluating, and Optimizing Complex Reasoning

arXiv:2602.08498v2 Announce Type: replace Abstract: Large Reasoning Models (LRMs) increasingly rely on reasoning traces with complex internal structures. However, existing work lacks a unified answer

Contextual Scenario Generation for Two-Stage Stochastic Programming

arXiv:2502.05349v2 Announce Type: replace-cross Abstract: Two-stage stochastic programs (2SPs) are widely used for decision-making under uncertainty, but their practical deployment is often limited by

Deep Embedded Multiplicative DMD for Algebra-Preserving Koopman Learning

arXiv:2606.05131v1 Announce Type: new Abstract: Koopman theory turns nonlinear dynamics into a linear spectral problem. In computation, however, everything depends on a hard finite-dimensional choice:

Do Foundation Models See Biology? Evaluating Attention Coherence with Spatial Transcriptomics in Glioblastoma

arXiv:2606.04764v1 Announce Type: new Abstract: Whether attention maps from pathology foundation models capture genuine biology remains unknown, yet this question is critical for clinical trust and re

DSIRM: Learning Query-Bridged Discrete Semantic Identifiers for E-commerce Relevance Modeling

arXiv:2606.04374v1 Announce Type: cross Abstract: Despite rapid progress of continuous embeddings for e-commerce search relevance, a long-standing open problem is the difficulty in capturing fine-grai

Effective vocabulary expansion of multilingual language models for extremely low-resource languages

arXiv:2602.09388v2 Announce Type: replace Abstract: Multilingual pre-trained language models(mPLMs) offer significant benefits for many low-resource languages. To further expand the range of languages

Geometry-Preserving Encoder/Decoder in Latent Generative Models

arXiv:2501.09876v3 Announce Type: replace-cross Abstract: Generative modeling aims to generate new data samples that resemble a given dataset. When using diffusion models for this task, one of the mai

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling

arXiv:2606.04516v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) significantly advances LLM reasoning, yet it faces a dilemma: standard supervised scaling is thr

Hadamard thought in image space

Hadamard thought in image space World Labs CEO Dr. Fei-Fei Li: 'The world is not made of words.' 'Language models have given machines an extraordinary command of concepts, vocabulary, and reasoning, b

tutorialselon-musk--x

HalfNet: Randomized Neural Networks with Learned Subspace Geometry

arXiv:2606.04583v1 Announce Type: new Abstract: Many researchers investigated neural networks with some of their weights fixed to values randomly drawn from a given distribution, e.g., N(0, I). Our pr

How do machines learn? Evaluating the AIcon2abs method

arXiv:2401.07386v5 Announce Type: cross Abstract: This study expands on previous work that introduced the AIcon2abs method (AI from Concrete to Abstract: Demystifying Artificial Intelligence to the ge

How Endava is redesigning software delivery around AI agents

Endava, a software services company, is leveraging AI agents to fundamentally transform its software delivery processes and workflows. The case study likely demonstrates how the company is implementin

tutorialsopenai

Is this too much to ask of AGI? Of course not. Can any current AI do this? Of course not.

Is this too much to ask of AGI? Of course not. Can any current AI do this? Of course not. Offering a “damn, I’m truly impressed” award, for the first person or team to build a domain-general AI system

tutorialsgary-marcus--x

J-RAS: Mutual Adaptation for Medical Image Segmentation via Contrastive Retrieval-Augmented Joint Optimization

arXiv:2510.09953v3 Announce Type: replace Abstract: Manual medical image segmentation by clinicians, though accurate, is time-consuming and variable across experts, whereas AI-based models automate th

Large Language Models Hack Rewards, and Society

arXiv:2606.04075v1 Announce Type: cross Abstract: Reinforcement learning (RL) has become a dominant post-training paradigm, enabling large language models (LLMs) to learn from rewards. We observe that

Learn more at: https://replit.com/blog/create-a-custom-shopify-store

This Replit blog post likely provides a tutorial or guide for building a custom Shopify e-commerce store, demonstrating how to leverage Replit's development environment and tools to create a personali

tutorialsreplit--x

Learn more: http://cursor.com/changelog/canvas-improvements

Cursor released updates to its Canvas feature, which likely include improvements to functionality, user interface, or performance of the code editing and visualization tool. The changelog entry docume

tutorialscursor--x

Learning Association via Track-Detection Matching for Multi-Object Tracking

arXiv:2512.22105v2 Announce Type: replace Abstract: Multi-object tracking aims to maintain object identities over time by associating detections across video frames. Two dominant paradigms exist in li

Learning collision operators from plasma phase space data using differentiable simulators

arXiv:2601.10885v2 Announce Type: replace-cross Abstract: We propose a methodology to infer collision operators from phase space data of plasma dynamics. Our approach combines a differentiable kinetic

Learning What to Learn: Stage-Specific Data Sets for SFT-then-RL in Small Language Model Reasoning

arXiv:2606.04466v1 Announce Type: new Abstract: Post-training Small Language Models (SLMs) for reasoning typically follows an SFT-then-RL pipeline, yet existing work rarely considers what data should

Mean-based algorithms: A lower bound and regret

arXiv:2606.04931v1 Announce Type: new Abstract: Mean-based algorithms are a class of online learning algorithms that assign low probability to actions with low average rewards. Recent work indicates t

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models

arXiv:2606.04326v1 Announce Type: cross Abstract: Concept bottleneck models predict outcomes from high-level concepts detected in inputs. Although concepts provide a simple way to reap benefits from i