All entries

Werracle: Sub-Cent Intra-Block AI Reflex Oracles and Flash-Loan Circuit Breakers for EVM Smart Contracts

arXiv:2609.30719v1 Announce Type: cross Abstract: Contemporary on-chain artificial intelligence (AI) encounters an intractable Von Neumann memory and latency wall. Storing static floating-point neural

applicationsarxiv-cs-ai

Human

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Hardware

What cracks me up is how for the last few weeks when @ZackKorman, @HeidyKhlaaf, @nathanhamiel and I (and many others) went on about how Open…

DGX agent

What cracks me up is how for the last few weeks when @ZackKorman, @HeidyKhlaaf, @nathanhamiel and I (and many others) went on about how OpenAI’s cybersecurity sucked and was the key immediate problem,

hardwaregary-marcus--x

28 Sept 2026

What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs

arXiv:2509.22796v2 Announce Type: replace-cross Abstract: Open-source software projects are foundational to modern software ecosystems, with the Linux kernel standing out as a critical exemplar due to

researcharxiv-cs-lg

What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Study

model-releasesarxiv-cs-ai

arXiv:2609.30402v1 Announce Type: cross Abstract: Multimodal misinformation is increasingly crafted to look convincing by pairing a textual claim with an image that appears to 'prove' it. Yet in pract

What is the Added Value of UDA in the VFM Era?

arXiv:2504.18190v2 Announce Type: replace Abstract: Unsupervised Domain Adaptation (UDA) can improve a perception model's generalization to an unlabeled target domain starting from a labeled source do

agentsarxiv-cs-cv

Tools

What Jev’s probabilities reveal that repeated LLM judgments miss

I tested Jev and five LLM judges across ten Arize Phoenix evaluators to measure how often their answers changed alongside accuracy, cost, and latency. The post What Jev’s probabilities reveal that rep

toolsarize-ai

What to expect at the Dell AI Data Platform Event: Join theCUBE Oct. 6–7

The enterprise artificial intelligence conversation is moving past models and compute. As companies push projects into production, the harder problem is increasingly what sits underneath them: getting

applicationssiliconangle

What Will Remain Human in Software Architecture? A Focus Group Report

arXiv:2609.30334v1 Announce Type: cross Abstract: AI development agents are increasingly used to support and partially automate software architecture tasks. To explore how practitioners perceive this

applicationsarxiv-cs-ai

When 10,000 Windows Are Not 10,000 Tests: Auditing Statistical Confidence in Sliding-Window Time-Series Classification

arXiv:2609.30721v1 Announce Type: new Abstract: Sliding-window classifiers are often evaluated on thousands of overlapping test windows, even though neighboring predictions share observations and rema

researcharxiv-cs-lg

When can we say AI made a scientific discovery?

model-releasesmit-tech-review

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last Wednesday, Anthropic announced that earlier this year it

When Does Advection-Aware Graph Nowcasting Help? A Controlled Study of Distributed Solar Ramp Forecasting with a Self-Supervised Cloud-Motion Estimator

arXiv:2609.30286v1 Announce Type: cross Abstract: Short-term forecasting of cloud-induced power ramps across a network of distributed photovoltaic (PV) or irradiance sensors is a recognised pain point

researcharxiv-cs-ai

When Is a Multi-Agent Code Judge Actually Grounded? Two Label-Free Measurements, and a Judge That Declines to Guess

arXiv:2609.30328v1 Announce Type: new Abstract: When one language model judges whether another's code is correct, it does not report the absence of evidence. It returns a confident verdict with reason

agentsarxiv-cs-ai

When the Preconditioning Exponent Turns Negative: Learning-Rate Coupling and Cross-Environment Generalization

model-releasesarxiv-cs-lg

arXiv:2609.30271v1 Announce Type: new Abstract: Adaptive optimizers are commonly parameterized by a fixed power of the second-moment estimate. Existing partially adaptive methods study exponents betwe

Where a Model Sends Its Own Repeated Token

arXiv:2609.31181v1 Announce Type: new Abstract: Black-box model identification works by scoring a model's response to natural-language prompts. One line of work feeds models a degenerate input -- thei

researcharxiv-cs-cl

Where and When to Force: Routed Forcing for Streaming Avatars

arXiv:2609.30963v1 Announce Type: new Abstract: Audio-driven streaming avatar generation requires real-time synthesis of speech-synchronized videos with dynamic and diverse motion. Self Forcing uses D

researcharxiv-cs-cv

Where Compute Matters: Heterogeneous Attention for Efficient Video Diffusion

model-releasesarxiv-cs-cv

arXiv:2609.31050v1 Announce Type: new Abstract: Efficient video generation requires reducing the quadratic cost of self-attention over long spatio-temporal token sequences. Existing efficient-attentio

Where Does Retrieval-Based Open-Ended Evaluation Fail? Automatic Taxonomy Induction from Long-Form Medical Answer Factuality Verification

arXiv:2609.30467v1 Announce Type: new Abstract: Retrieval-based factuality evaluation, where LLM-generated claims are verified against evidence from authoritative medical corpora, has become the domin

applicationsarxiv-cs-cl

Which Influence Are We Estimating? The Role of Counterfactual Specifications in Data Attribution

model-releasesarxiv-cs-ai

arXiv:2609.31214v1 Announce Type: new Abstract: Estimating the influence of training examples on model behavior is essential for data debugging, valuation, and attribution. Existing influence estimato

While the token prices for Sonnet 5.5 remain the same as Sonnet 5, Anthropic reports more than 30% faster output generation and up to 30% lo…

model-releasescognition-ai--x

While the token prices for Sonnet 5.5 remain the same as Sonnet 5, Anthropic reports more than 30% faster output generation and up to 30% lower cost per task than Sonnet 5, with unchanged token pricin

Who Says What: Symbolic Trimodal Binding Mechanisms in Audio-Visual LLMs

arXiv:2609.31193v1 Announce Type: new Abstract: Current Audio-Visual LLMs (AVLLMs) struggle with reasoning over videos featuring multi-speaker dialogues. In such videos, resolving 'who says what' is c

researcharxiv-cs-cv

who's got two thumbs and just ranked #6 of 49 on image-jevbench? 👍 this guy 👍 one of the fastest in top 10, accuracy is close. calibration…

model-releasesyohei-nakajima--x

who's got two thumbs and just ranked #6 of 49 on image-jevbench? 👍 this guy 👍 one of the fastest in top 10, accuracy is close. calibration of confidence is where it's weakest. @airesearch12 says a sim

Who’s liable when AI agents go rogue?

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. Over the past few mon

agentsmit-tech-review

Why Alzheimer's Speech Screening Fails to Generalize: Bridging the Deployment Gap via Cross-Corpus Evidence Anchoring

arXiv:2609.31293v1 Announce Type: cross Abstract: Speech-based screening is a promising, non-invasive approach for detecting Alzheimer's disease and related cognitive risks. However, models trained on

researcharxiv-cs-cl

Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders

arXiv:2603.18863v2 Announce Type: replace Abstract: Cross-lingual alignment is often assumed to improve cross-lingual transfer by bringing representations of different languages closer together. Howev

safetyarxiv-cs-cl

Tutorials

Why Clipping Matters in AdaGrad? Toward a High-Probability Theory under Generalized Smoothness

arXiv:2609.30276v1 Announce Type: new Abstract: We analyze the original same-step coordinate-wise AdaGrad under generalized smoothness and heavy-tailed noise with bounded variance. In this setting, lo

tutorialsarxiv-cs-lg

Why Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape Analysis

arXiv:2609.30841v1 Announce Type: new Abstract: Existing attacks and defenses for diffusion-based large language models (dLLMs) target specific vulnerabilities but lack a shared framework explaining w

safetyarxiv-cs-ai

Why your startup needs open models alongside frontier APIs

model-releasesgoogle-cloud-ai

Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core p

Words Speak Louder Than Order: A Behavioral Evaluation of Gemma 4

model-releasesarxiv-cs-ai

arXiv:2609.30716v1 Announce Type: cross Abstract: When a language model receives two conflicting documents as input, how does it decide which one to prioritize? Does it rely on how the sources are fra

Tutorials

WorldTS: World Modeling for Multimodal Covariate-aware Time Series Forecasting

arXiv:2609.31162v1 Announce Type: new Abstract: Time series forecasting is typically framed as learning a direct mapping from historical to future observations in the observation space. However, seque

tutorialsarxiv-cs-lg

worst these will ever be 3:26 section is a good example of super persuasion incoming right in the kokoro

model-releasesemad-mostaque--x

worst these will ever be 3:26 section is a good example of super persuasion incoming right in the kokoro Made with Claude Opus 5.5. The fearmongering about AI always makes us forget that NOTHING WENT

XPhysICS: Cross-Physical-Domain Threat Grounding for Industrial Control Systems Security

arXiv:2609.30805v1 Announce Type: cross Abstract: Industrial control system (ICS) threats documented for one plant can express cyber-physical effects relevant to another, but semantic similarity alone

researcharxiv-cs-ai

ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce Reranker

model-releasesarxiv-cs-cl

arXiv:2609.31002v1 Announce Type: new Abstract: Open rerankers trained for general web retrieval transfer imperfectly to e-commerce, where ranking decisions depend not only on topical relevance but al

2026 in LLMs (so far)

model-releasessimon-willison

On Friday I gave the closing keynote at the WeAreDevelopers World Congress North America in San Jose. I tied together the key trends from the past year into a chronological exploration of everything t

2x Tesla p100s, q6_k quant, Qwen 3.8 27B ~60tps V3.0

Hey guys! I have been excited to share this here. This is a project consisting of kernel optimizations for the Tesla p100 series graphics card ($80). I want to start by saying I am 17 years old and do

A little Ember-1 tl;dr. Seems like a great model! (Was recently asked on a podcast, given $ xx million, what's the best way to develop a fro…

researchsebastian-raschka--x

A little Ember-1 tl;dr. Seems like a great model! (Was recently asked on a podcast, given $ xx million, what's the best way to develop a frontier LLM today? My recommendation was: start with an existi

A profile of Jaan Tallinn, who led Anthropic's 124M Series A in 2021, has advocated for AI safety for over a decade, and donated ~170M to safety initiatives (Kate Clark/Wall Street Journal)

Kate Clark / Wall Street Journal: A profile of Jaan Tallinn, who led Anthropic's 124M Series A in 2021, has advocated for AI safety for over a decade, and donated ~170M to safety initiatives — One of

safetytechmeme

Adding logit penalty for 'wait', 'maybe' and 'perhaps' to Qwen models improves their accuracy

Meta came out with a banger paper https://arxiv.org/pdf/2606.00206, but it did not look at various quantizations supported in llama.cpp. So I did a run on 50 random MATH-500 questions (https://hugging

Advice on models for RAG use case

Hi all, I'm looking for some advice picking models. I'm looking to try a project to ingest quite a large amount of docments into a knowledgebase, allowing me and others to ask questions about the data

Also kudos to fireworks AI for admitting that they built on top of Kimi (I remember the awkward Mistral 3 release) https://x.com/rasbt/statu…

model-releasessebastian-raschka--x

Also kudos to fireworks AI for admitting that they built on top of Kimi (I remember the awkward Mistral 3 release) https://x.com/rasbt/status/1999557830131494977?s=20 Hold on a sec, Mistral 3 Large us

Also please feel free to fight in the comments about 'pure LLMs' versus multimodal LLMs versus multimodal LLMs with tool use or whatever. I …

Ethan Mollick invited readers to discuss the distinctions between **pure large language models (LLMs)**, **multimodal LLMs** that process multiple data types (e.g., text, images), and **multimodal LLM

agentsethan-mollick--x

An interesting idea is to continually train specialized models on skills. This paper explores that idea. They propose SkillGym which turns h…

An interesting idea is to continually train specialized models on skills. This paper explores that idea. They propose SkillGym which turns human-written skills into 2,756 training environments with co

model-releasesdair-ai--x

Another 'Harness matters' post (codex cli > pi and opencode)

I run my own LLM while also having a Openai subscription. Also tried DeepSeek (latest flash now). I run Qwen 3.8 flash Next at an amazing speed on my 2x3090 + Ram! But local LLM never did worked for m

Are there machine learning subfields that are becoming irrelevant (or is irrelevant)? [D]

I was reading a paper that surveyed the field of neural architecture search, where it said within 5 years, around 3000+ new models were proposed. The amount of compute and resources spent on this is a

safetyr-machinelearning

Local Ai

Artist here, Minimax H3 is amazing for creating images for my OCs in ref2v using Fizgig H3 Still custom node.

local-air-stablediffusion

I am an artist working on a worldbuilding, character design and art toy project, handdrawn using Procreate on iPad with no AI use at all. However, I use AI a lot as a hobby and messing around locally

b11206

hexagon: support for backend sampler (#29502) hex-topk: trying to improve/cleanup the pipeline hex-sampling: add STEP op hex-sampler: add SUM op hex-sampler: update CPY to support sampling cases hex-b

b11207

hexagon: support tiled Q4_0 and Q8_0 GET_ROWS (#29511) hexagon: support tiled Q4_0 and Q8_0 GET_ROWS hex-get-rows: fix macros hex-get-rows: use tiled HVX dequantization Assisted-by: OpenCode hex-get-r

b11208

hrm : fix layer placement of z_l_init weight (#29512) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/50522371 macOS/iOS: macOS Apple Silicon (arm64) macOS

b11209

llama-bench : fix OOB access of hf_file (#29515) Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/50528155