Search: “research”

*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...

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...

Early Beta Support for Blue Bubbles iMsg as a Gateway is now in Hermes Agent. Now you can use iMessage as an interaction layer for your agent. Test early by using hermes update and setting it up! Let

This is a Huberman Lab Essentials episode featuring Dr. David Anderson, PhD, a Professor of Biology at Caltech and investigator at the Howard Hughes Medical Institute, who is a world expert in sexu...

The ICML 2026 'final justification' is a **new requirement this year** where reviewers must submit a written explanation of their final recommendation after reading author rebuttals. New for ICML ...

This paper was accepted at the Workshop on Memory for LLM-Based Agentic Systems at ICLR. Language models have consistently grown to compress more world knowledge into their parameters, but the knowled

I was unable to retrieve the specific Reddit post at the URL provided (r/MachineLearning/comments/1sgtaqi), as it did not appear in the search results — it may be too new, removed, or not indexed. ...

According to an analysis by the Institute on Taxation and Economic Policy (ITEP), President Trump has raised taxes on most Americans in ways that more than offset the tax cuts he has signed into l...

Applying PCA as a rotation step before naively truncating embeddings from non-Matryoshka models like BGE-M3 can recover much of the retrieval quality that is otherwise lost when simply chopping dim...

**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...

Lex Fridman Podcast #495 (released April 9, 2026, runtime ~2 hours 10 minutes) features historian Lars Brownworth — author and specialist in Viking history, medieval Europe, and the Byzantine Empir...

A Politico *European Pulse* poll conducted March 13–21, 2026, surveyed at least 1,000 adults each in Belgium, France, Germany, Italy, Poland, and Spain. It found that 46% of Italians, 42% of Belg...

I was unable to retrieve the specific content of the two X/Twitter posts referenced (NousResearch status/2041974602826457364 and tobi status/2041719844920283326), as X requires authentication to ac...

Anthropic investigated the internal mechanisms of its latest unreleased model, Claude Mythos Preview, and what they found is 100% worth a read. Key things I pulled from Anthropic researchers' threads:

At ICML 2026, reviewers are officially required to acknowledge authors' rebuttals — starting March 31, if authors have posted a response to an official review, the reviewer is required to acknowle...

The search results did not return the specific Reddit post content. Based on what was retrieved, I'm unable to produce a fully sourced factual summary of that particular Reddit thread about the LQS...

Enterprise multi-agent AI systems produce thousands of inter-agent interactions per hour, yet existing observability tools capture these dependencies without enforcing anything. OpenTelemetry and Lang

I wasn't able to retrieve the specific Reddit thread content from that URL. Reddit threads often require direct access or login to view, and my web search did not return the content of that specifi...

Let's see how MiMo V2 Pro evolves in Hermes Agent! We have partnered with @Xiaomi to bring their excellent MiMo V2 Pro model to Hermes Agent via the Nous Portal - completely free to use for the next 2

A beginner-friendly tutorial demonstrating how to build a ~3.2M parameter LLM from scratch using Mary Shelley's *Frankenstein* as the sole training corpus, designed to run on Kaggle's free GPU in u...

Plus: execute_code on remote backends, Firecrawl cloud browser, Browser Use provider, xAI prompt caching, thinking prefill continuation, cron script injection, Telegram reactions, shared thread sessio

We’re partnering with @MiniMax_AI across product and models to make their upcoming releases the best for Hermes Agent users. MiniMax models are already some of the most-used in Hermes Agent. If you ha

Coming soon: WorldSim in your Hermes Agent? putting this skill out soon~ in hermes agent, i can create a new kind of worldsim-based instance for higher fidelity, narrower simulations here i had it try

arXiv:2610.22341v1 Announce Type: cross Abstract: We introduce 3DCodeVerse, a research ecosystem that enables coding agents to create editable and verifiable 3D content at scale. 3DCodeVerse comprises

arXiv:2610.21820v1 Announce Type: new Abstract: How depth and width of neural networks shape learned representations is usually studied only after training. We show that, in a tractable feature-learni

arXiv:2610.21590v1 Announce Type: new Abstract: While Assist-as-Needed (AAN) control aims to maximize user participation in robot-assisted training, existing methods relying solely on physical metrics

arXiv:2610.20657v1 Announce Type: cross Abstract: Zhang [Zha26] recently posted a manuscript announcing that the list-replicability number of every class of Mge 2 binary concepts on Nge 2 domain point

arXiv:2610.20815v1 Announce Type: cross Abstract: In response to the reply presented in [Munoz-Vazquez and Sanchez-Torres(2026)], this technical report extends the experimental evaluation of position-

arXiv:2610.22065v1 Announce Type: new Abstract: Transformer-based models have become the backbone of a wide range of tasks, but their intensive computation and data movement incur substantial energy o

arXiv:2610.21020v1 Announce Type: cross Abstract: We study whether the classical momentum-based acceleration that improves the condition-number dependence of gradient descent from kappa to sqrt{kappa}

arXiv:2610.22328v1 Announce Type: cross Abstract: Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing t

arXiv:2610.21527v1 Announce Type: new Abstract: Layer normalization (LN) and root mean square normalization (RMSNorm) depend on their inputs and remain nonlinear at inference. Inserting either next to

arXiv:2610.21323v1 Announce Type: new Abstract: Most vision-language models (VLMs) treat the vision encoder as a static feature extractor: it encodes an image once, independently of the question, and

arXiv:2610.21077v1 Announce Type: cross Abstract: Randomized neural networks retain an output-linear least-squares solve, but globally sampled random features may fail to capture the spatial and scale

arXiv:2610.21482v1 Announce Type: new Abstract: ARTIFICIAL INTELLIGENCE (AI) has demonstrated its potential across a wide range of humanitarian tasks, offering scalable and data-driven solutions to so

The drumbeat over how safe artificial intelligence is — or more to the point, isn’t — just keeps louder. In the wake of weeks of incidents involving rogue agents, with likely more to come, more govern

arXiv:2512.02004v4 Announce Type: replace-cross Abstract: Large Language Models (LLMs) encode factual knowledge within hidden parametric spaces that are difficult to inspect or control. While Sparse A

arXiv:2610.21882v1 Announce Type: cross Abstract: Embodied spatial intelligence requires more than visual recognition: models must localize entities, reason about their relations, and express this kno

arXiv:2511.02406v2 Announce Type: replace-cross Abstract: We prove that there exist uniform (+,imes,/)-circuits of size O(n^3) to compute the basis generating polynomial of regular matroids on n eleme

arXiv:2610.22285v1 Announce Type: cross Abstract: Reward learning typically assumes the human's input covers everything that matters for the task. In practice, humans can only attend to so much at onc

arXiv:2509.10711v2 Announce Type: replace-cross Abstract: We consider the benchmarking problem of gathering in an (N,f)-fault system consisting of N robots, of which at most f may fail at any executio

arXiv:2610.22191v1 Announce Type: cross Abstract: In Hebbian learning from examples a Hopfield network of N neurons is not supplied with the K archetypes it has to retrieve but with M blurred examples

arXiv:2610.21534v1 Announce Type: new Abstract: Assist-as-needed (AAN) control must distinguish between changes in intended motion and changes in effective voluntary torque capability, even though bot

arXiv:2610.21060v1 Announce Type: cross Abstract: To address sparse terminal rewards in LLM arithmetic reasoning, we propose a Bellman-consistent trajectory RL method. Our framework introduces Traject

arXiv:2610.21403v1 Announce Type: new Abstract: Distribution shifts pose a fundamental challenge to robust multimodal learning. Existing methods typically promote invariance by suppressing environment

arXiv:2610.22267v1 Announce Type: new Abstract: Strong guidance in text-to-image (T2I) diffusion models concentrates sampling toward high-density modes of the conditional distribution, collapsing inde