Search: “index”

Is an nvidia DGK Spark or similar worth it?

This Reddit thread on r/ollama discusses whether the NVIDIA DGX Spark — powered by the GB10 Grace Blackwell Superchip and delivering 1 petaFLOP of performance — is a worthwhile investment for running

hardwarer-ollama

MARBLE: Multi-Armed Restless Bandits in Latent Markovian Environment

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DGX agent

arXiv:2511.09324v2 Announce Type: replace Abstract: Restless Multi-Armed Bandits (RMABs) are powerful models for decision-making under uncertainty, yet classical formulations typically assume fixed dy

safetyarxiv-cs-lg

13 Apr 2026

Memo: OpenAI Chief Revenue Officer Denise Dresser says OpenAI's Microsoft deal 'limited our ability' to reach clients using Bedrock and touts its Amazon deal (Ashley Capoot/CNBC)

Ashley Capoot / CNBC: Memo: OpenAI Chief Revenue Officer Denise Dresser says OpenAI's Microsoft deal “limited our ability” to reach clients using Bedrock and touts its Amazon deal — OpenAI's newly app

industrytechmeme

Nvidia hasn’t budged in six months. Coreweave is down 21% Oracle is down 50% Microsoft is down 25% Like it or not, the bubble has already st…

Gary Marcus, an AI skeptic and cognitive scientist, posted on X highlighting diverging stock performance in the AI infrastructure sector, noting that while Nvidia has remained relatively stable, CoreW

hardwaregary-marcus--x

On Semiotic-Grounded Interpretive Evaluation of Generative Art

arXiv:2604.08641v1 Announce Type: cross Abstract: Interpretation is essential to deciphering the language of art: audiences communicate with artists by recovering meaning from visual artifacts. Howeve

Oracle expands its partnership with fuel cell maker Bloom to procure up to 2.8 GW of capacity, after receiving a warrant to purchase $400M of Bloom stock (Jordan Novet/CNBC)

Jordan Novet / CNBC: Oracle expands its partnership with fuel cell maker Bloom to procure up to 2.8 GW of capacity, after receiving a warrant to purchase $400M of Bloom stock — Oracle is poised to mak

industrytechmeme

Shares of Dell and HP jump after a report said Nvidia 'has been in negotiations for over a year to buy a large company and it will reshape the PC landscape' (Dina Bass/Bloomberg)

Dina Bass / Bloomberg: Shares of Dell and HP jump after a report said Nvidia “has been in negotiations for over a year to buy a large company and it will reshape the PC landscape” — Shares of Dell Tec

hardwaretechmeme

Sources: data labeling startup Handshake's gross annualized revenue hit ~1B, vs. 550M in January; Mercor hit a $1B+ gross annualized revenue pace this year (The Information)

The Information: Sources: data labeling startup Handshake's gross annualized revenue hit ~1B, vs. 550M in January; Mercor hit a $1B+ gross annualized revenue pace this year — AI firms' voracious appet

industrytechmeme

Spectral-Transport Stability and Benign Overfitting in Interpolating Learning

arXiv:2604.08625v1 Announce Type: cross Abstract: We develop a theoretical framework for generalization in the interpolating regime of statistical learning. The central question is why highly overpara

ArcFace embeddings quantized to 16-bit pgvector HALFVEC ? [D]

This Reddit discussion explores the practical trade-offs of storing ArcFace face recognition embeddings in pgvector's `HALFVEC` type, which uses 16-bit floating point numbers to represent vector compo

12 Apr 2026

Tools

Are you AGI pilled? Dr @Swyx is cooking!

The specific tweet (status ID `2042598654758773091`) is not accessible — X (Twitter) requires JavaScript and login to render tweet content, and the search results do not surface the specific post. ...

toolsswyx--x

Tools

ChatGPT voice mode is a weaker model

I think it's non-obvious to many people that the OpenAI voice mode runs on a much older, much weaker model - it feels like the AI that you can talk to should be the smartest AI but it really isn't. If

toolssimon-willison

Applications

CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data

arXiv:2604.06616v1 Announce Type: cross Abstract: Hybrid queries combining high-dimensional vector similarity search with spatio-temporal filters are increasingly critical for modern retrieval-augment

applicationsarxiv-cs-ai

[D] 60% MatMul Performance Bug in cuBLAS on RTX 5090 [D]

A bug was identified in NVIDIA's cuBLAS library where `cublasSgemmStridedBatched` dispatches the same suboptimal `cutlass_80_simt_sgemm_128x32_8x5` kernel for every batched FP32 workload from 256×...

Figures

I was unable to retrieve the specific content of the X/Twitter post at the URL provided (status ID 2042636279482061058). The X/Twitter platform requires JavaScript and user login to display individ...

industryelon-musk--x

HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues

arXiv:2604.06845v1 Announce Type: cross Abstract: Long-term memory is critical for dialogue systems that support continuous, sustainable, and personalized interactions. However, existing methods rely

MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction

arXiv:2604.06390v1 Announce Type: cross Abstract: Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Accurate survival prediction is essential for treat

safetyarxiv-cs-ai

Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions

arXiv:2604.06235v1 Announce Type: cross Abstract: Smart Voice assistants (SVAs) are widely adopted by youth, yet privacy decision-making in these environments is often characterized by competing consi

researcharxiv-cs-ai

One great outcome of PaperWiki is personalized surveys. Survey papers continue to be one of the best ways to track a field. My agents are no…

One great outcome of PaperWiki is personalized surveys. Survey papers continue to be one of the best ways to track a field. My agents are now generating personalized surveys on topics using my paper L

researchdair-ai--x

[P] ibu-boost: a GBDT library where splits are absolutely rejected, not just relatively ranked[P]

The search results did not return the specific Reddit post about ibu-boost. Let me try fetching it directly. I was unable to retrieve the specific Reddit post or any direct information about the **...

The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era

arXiv:2604.06906v1 Announce Type: cross Abstract: As Large Language Models reshape the global labor market, policymakers and workers need empirical data on which occupational skills may be most suscep

What’s new with Google Cloud

model-releasesgoogle-cloud-ai

Want to know the latest from Google Cloud? Find it here in one handy location. Check back regularly for our newest updates, announcements, resources, events, learning opportunities, and more. Tip: Not

A Theoretical Framework for Acoustic Neighbor Embeddings

researchapple-ml-research

This paper provides a theoretical framework for interpreting acoustic neighbor embeddings, which are representations of the phonetic content of variable-width audio or text in a fixed-dimensional embe

AI Systems Performance Engineering by Chris Fregly - is it worth it? [D]

*AI Systems Performance Engineering* by Chris Fregly is a ~1,000-page book (published December 2025) covering GPU/CUDA kernel tuning, PyTorch optimization, distributed training, and high-throughput...

Anyone have an S3-compatible store that actually saturates H100s without the AWS egress tax? [R]

A r/MachineLearning discussion explores the challenge of finding S3-compatible object storage that can both saturate H100 GPU bandwidth and avoid AWS's egress fees during high-throughput AI trainin...

Parax: Parametric Modeling in JAX + Equinox [P]

**Paramax** (also referred to as 'Parax' in the Reddit post title) is a small Python library by Daniel Ward that provides parameterizations and parameter constraints for JAX PyTrees, designed to wo...

llm-wikikarpathyknowledge-base

Concepts

LLM Wiki

Human

Karpathy’s pattern: LLMs compile raw sources into a persistent interlinked markdown wiki—entity/concept pages, index, log—rather than re-deriving answers from RAG on every query.

4 Apr 2026

Approaching Backpropagation Accuracy with Weight Perturbation on MNIST

arXiv:2610.21665v1 Announce Type: new Abstract: Weight perturbation (WP) estimates learning directions from random parameter perturbations and a scalar change in loss, without backpropagating derivati

Tutorials

Beautiful work from @perplexity_ai @AravSrinivas with weights on @huggingface of course! https://huggingface.co/perplexity-ai/pplx-decider-f…

tutorialsclem-delangue--x

Beautiful work from @perplexity_ai @AravSrinivas with weights on @huggingface of course! https://huggingface.co/perplexity-ai/pplx-decider-flash-v1.2 https://huggingface.co/perplexity-ai/pplx-decider-

Exploring the Design Space of Permutation Diffusion LLMs

arXiv:2610.20635v1 Announce Type: cross Abstract: Permutation generation with language models requires both text-conditioned ranking and a global one-to-one assignment between candidates and output po

researcharxiv-cs-ai

Fast-VLA: You Only Think Once for Robot Manipulation

model-releasesarxiv-cs-ro

arXiv:2610.21389v1 Announce Type: new Abstract: Vision-language-action (VLA) policies commonly place a multi-billion-parameter model inside the feedback loop, repeatedly recomputing task context whene

GRID-Planner: Graph-Structured Relational Reward Shaping for Diffusion Planning

arXiv:2610.21984v1 Announce Type: cross Abstract: Autonomous driving planning requires selecting trajectories that remain safe, rule-compliant, and comfortable under complex multi-agent interactions,

safetyarxiv-cs-cv

Long-Context Drafting Does Not Require Long-Context Drafters

arXiv:2610.20865v1 Announce Type: new Abstract: Speculative decoding pairs a cheap drafter with parallel verification against the target. At ultra-long context it stops paying, because a drafter that

Making every stage of medical device document assessment with large language models deterministic

arXiv:2610.21300v1 Announce Type: new Abstract: To show that a medical device complies with regulation, experts judge whether documents and records meet each requirement and record the judgment for ot

hardwarearxiv-cs-cl

MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data

arXiv:2610.20965v1 Announce Type: new Abstract: Large multimodal models have achieved remarkable progress by scaling model capacity and training on massive paired multimodal data. However, this paradi

safetyarxiv-cs-ai

Agents

Multi-Agent Transactive Memory

arXiv:2606.19911v2 Announce Type: replace Abstract: Decentralized deployment of LLM agents with diverse capabilities motivates infrastructure for knowledge sharing across heterogeneous agent populatio

agentsarxiv-cs-ai

Local Ai

P2TPO: Structure-Aligned Page-to-Token Credit Assignment for Full-Page Document Parsing

arXiv:2610.21979v1 Announce Type: cross Abstract: End-to-end full-page document parsing must preserve the content and structure of heterogeneous elements, yet otherwise accurate outputs can contain lo

local-aiarxiv-cs-cl

Privacy-Preserving Text Inference for Health-Misinformation Classification and Semantic Retrieval

arXiv:2610.20796v1 Announce Type: cross Abstract: Health-misinformation analysis presents a dual challenge: misleading claims can affect public well-being, while systems designed to detect them may ex

reflection/Beam-1.0-501B-A23B · Hugging Face

model-releasesr-localllama

Beam is an open model built by Reflection. Beam takes text as input and generates text as output. This release includes the instruction-tuned model in BF16, FP8, and NVFP4 numerics. Beam uses a sparse

SSR: Structural Signal Retriever for Scalable Agent Discovery in LLM-Orchestrated Multi-Agent Systems

arXiv:2610.21113v1 Announce Type: cross Abstract: Large-scale multi-agent ecosystems require mechanisms for discovering suitable agents without exposing entire registries to a large language model (LL

Time-partitioning Gaussian Process Mixture Model

arXiv:2610.20860v1 Announce Type: cross Abstract: We propose the Time-partitioning Gaussian Process Mixture Model (TPGPMM), a Bayesian nonparametric framework for identifying persistent regimes and mo

TRACER: Trajectory-Aware Tool Retrieval for LLM Agents

arXiv:2610.21267v1 Announce Type: cross Abstract: Modern agents select tools from registries, but exposing entire registries incurs high token costs and can impair selection as they grow. We present T

Agents

A Global View of How LLMs Value Human Time

arXiv:2610.18515v2 Announce Type: cross Abstract: Large language models (LLMs) increasingly act as personal assistants; however, little is known about how they capture national-level preferences on a

agentsarxiv-cs-ai

ActMOF: Mapping Reticular Synthesis through Active Learning

arXiv:2610.19404v1 Announce Type: cross Abstract: Reticular chemistry allows metal-organic frameworks (MOFs) to be designed from their building units, yet their synthesis remains constrained by sparse

AlignMerge - Alignment-Preserving Large Language Model Merging via Fisher-Guided Geometric Constraints

arXiv:2512.16245v2 Announce Type: replace Abstract: Merging large language models (LLMs) is a practical way to compose capabilities from multiple fine-tuned checkpoints without retraining. Yet standar

Agents

ASIWorld: Benchmarking Autonomous Agents in a Persistent Survival Sandbox

arXiv:2610.14807v1 Announce Type: new Abstract: Evaluating autonomous agents requires examining whether they can translate goals into coherent action across extended interactions. In persistent enviro

agentsarxiv-cs-ai

AutoSec-RAN: Specification-Grounded LLM Fine-Tuning for Automated Security Analysis of O-RAN

arXiv:2610.15995v1 Announce Type: cross Abstract: This paper presents AutoSec-RAN, a specification-grounded large language model (LLM) framework for automated security triage of Open Radio Access Netw

Bringing the borderless Lakehouse into the agentic era with innovations for Gemini

model-releasesgoogle-cloud-ai

As enterprises shift their AI usage from experimental chatbots to autonomous agents, teams are hitting a critical bottleneck: accessing and reasoning over data scattered across multiple clouds, SaaS p