Search: “tutorials”

Bad take, you absolutely need to look at the data, manually

Bad take, you absolutely need to look at the data, manually Just learned: Software engineers used to do manual data labeling at Scale AI while Alex Wang was CEO. After he left, new leadership joined,

tutorialsjerry-liu--x

not sure i see the issue here

not sure i see the issue here Just learned: Software engineers used to do manual data labeling at Scale AI while Alex Wang was CEO. After he left, new leadership joined, and were HORRIFIED to learn th

tutorialsjerry-liu--x

7 Jun 2026

of course he wants to marginalize any objections to AI.* *exact dollar figures of course depend on dilution and the size of the angel invest…

of course he wants to marginalize any objections to AI.* *exact dollar figures of course depend on dilution and the size of the angel investment etc. David Sacks invested in SpaceX at a 27 million val

tutorialsgary-marcus--x

Super-powerful AI models will launch in the coming weeks. We are looking at a potential step change in model capabilities. The biggest mista…

Super-powerful AI models will launch in the coming weeks. We are looking at a potential step change in model capabilities. The biggest mistake right now is to lock into one vendor. I say this not only

tutorialsdair-ai--x

This is a pretty striking shift toward Chinese models by American AI startups since the start of the year. https://substack.com/@profgmarket…

tutorialsjeremy-howard--x

American AI startups have increasingly shifted toward adopting Chinese AI models since the beginning of the year, representing a notable change in technology sourcing preferences. This trend likely re

anyone who wants to put money into OpenAI’s IPO should think again. the talent is voting with its feet, and has been for several years.

anyone who wants to put money into OpenAI’s IPO should think again. the talent is voting with its feet, and has been for several years. Personal update: I’ve decided to leave OpenAI. I’m proud to have

tutorialsgary-marcus--x

// Continual Learning Bench // One of the research areas with lots of investments is continual learning. While there are many efforts, there…

// Continual Learning Bench // One of the research areas with lots of investments is continual learning. While there are many efforts, there is very little progress in measuring it. So the big questio

tutorialsdair-ai--x

EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction

arXiv:2606.05855v1 Announce Type: cross Abstract: Continuous electroencephalography (EEG) emotion prediction aims to model the temporal evolution of human emotional states from EEG signals. Unlike con

GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data

arXiv:2606.05441v1 Announce Type: cross Abstract: We investigate how to make small tabular foundation models effective for High-Dimensional, Low-Sample Size (HDLSS) tabular prediction without retraini

https://x.com/CAIS/status/2049145768460882142?s=20

tutorialsdan-hendrycks--x

https://x.com/CAIS/status/2049145768460882142?s=20 Should we care about AI happiness? In our new research, we find evidence of functional AI wellbeing across several independent measures. We find whic

https://x.com/CAIS/status/2057681579242348801?s=20

tutorialsdan-hendrycks--x

https://x.com/CAIS/status/2057681579242348801?s=20 In our latest research, we find that AIs are subtly and pervasively politically manipulative. When we ask the same question about politically opposed

I organized an intervention to stop Elon from starting SpaceX. Here is the story... Twenty five years ago, Elon and I sat in a car on a dark…

I organized an intervention to stop Elon from starting SpaceX. Here is the story... Twenty five years ago, Elon and I sat in a car on a dark stretch of Long Island highway, two neurodiverse geeks star

tutorialselon-musk--x

In-Training Defenses against Emergent Misalignment in Language Models

arXiv:2508.06249v3 Announce Type: replace-cross Abstract: Fine-tuning lets practitioners repurpose aligned large language models (LLMs) for new domains, yet recent work reveals emergent misalignment (

Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning

arXiv:2603.13761v2 Announce Type: replace-cross Abstract: Curriculum learning--ordering training examples in a sequence to aid machine learning--takes inspiration from human learning, but has not gain

neuro paper finds that the hippocampus is basically an immutable event log that projects a state in graph form…. just like activegraph 🤔

tutorialsyohei-nakajima--x

neuro paper finds that the hippocampus is basically an immutable event log that projects a state in graph form…. just like activegraph 🤔 if you’re into neuro and think we live in a simulation, read on

Pretraining Recurrent Networks without Recurrence

arXiv:2606.06479v1 Announce Type: cross Abstract: Training recurrent neural networks (RNNs) requires assigning credit across long sequences of computations. Standard backpropagation through time (BPTT

The Role of Instructional Guidance in Generative AI-Assisted Learning: Empirical Evidence from Construction Engineering Education

arXiv:2606.05509v1 Announce Type: cross Abstract: Generative artificial intelligence (AI) is increasingly used to support self-directed learning, yet student interaction with such systems often remain

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models

arXiv:2606.06285v1 Announce Type: new Abstract: Time series foundation models (TS-FMs) aim to learn generalizable temporal representations that can be adapted to a wide range of downstream tasks. In r

@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)

tutorialsswyx--x

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

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

tutorialspinecone--x

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 +…

tutorialsemad-mostaque--x

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

tutorialsarxiv-cs-lg

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:

tutorialsarxiv-cs-lg

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