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AI chip startup Rebellions raises $400 million at $2.3B valuation in pre-IPO round | TechCrunch
Machine Learning

AI chip startup Rebellions raises $400 million at $2.3B valuation in pre-IPO round | TechCrunch

The startup, which is planning to go public later this year, designs chips specifically for AI inference, another challenger to Nvidia's ...

TechCrunch - AI · 4 min ·
Ai Infrastructure

[D] thoughts on the controversy about Google's new paper?

Openreview: https://openreview.net/forum?id=tO3ASKZlok It's sad to see almost no one mention this on Reddit and people are being mean to ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] MXFP8 GEMM: Up to 99% of cuBLAS performance using CUDA + PTX

New blog post by Daniel Vega-Myhre (Meta/PyTorch) illustrating GEMM design for FP8, including deep-dives into all the constraints and des...

Reddit - Machine Learning · 1 min ·

All Content

[2603.19289] Speculating Experts Accelerates Inference for Mixture-of-Experts
Llms

[2603.19289] Speculating Experts Accelerates Inference for Mixture-of-Experts

Abstract page for arXiv paper 2603.19289: Speculating Experts Accelerates Inference for Mixture-of-Experts

arXiv - AI · 3 min ·
[2603.19262] The α-Law of Observable Belief Revision in Large Language Model Inference
Llms

[2603.19262] The α-Law of Observable Belief Revision in Large Language Model Inference

Abstract page for arXiv paper 2603.19262: The α-Law of Observable Belief Revision in Large Language Model Inference

arXiv - AI · 4 min ·
[2603.19255] LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
Llms

[2603.19255] LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models

Abstract page for arXiv paper 2603.19255: LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models

arXiv - AI · 4 min ·
[2603.19639] HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning
Llms

[2603.19639] HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning

Abstract page for arXiv paper 2603.19639: HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning

arXiv - AI · 3 min ·
Ai Infrastructure

[R] Designing AI Chip Software and Hardware

This is a detailed document on how to design an AI chip, both software and hardware. I used to work at Google on TPUs and at Nvidia on GP...

Reddit - Machine Learning · 1 min ·
Do you want to build a robot snowman? | TechCrunch
Robotics

Do you want to build a robot snowman? | TechCrunch

On the latest episode of the Equity podcast, we recapped CEO Jensen Huang’s GTC keynote and debated what it means for Nvidia’s future.

TechCrunch - AI · 7 min ·
Ai Infrastructure

Why Hasn’t AI Made Work Easier?

Here’s a pattern I’ve observed again and again: A new technology promises to speed up some annoying aspects of our jobs. Everyone gets ex...

Reddit - Artificial Intelligence · 1 min ·
Llms

AI Fiesta review from Dhruv Rathee academy

Hi, I am a new AI user. I want to use AI for daily life optimization, getting better at table tennis and fitness, to use in architecture ...

Reddit - Artificial Intelligence · 1 min ·
Llms

[P] Inferencing Llama3.2-1B-Instruct on 3xMac Minis M4 with Data Parallelism using allToall architecture! | smolcluster

Here's another sneak-peek into inference of Llama3.2-1B-Instruct model, on 3xMac Mini 16 gigs each M4 with smolcluster! Today's the demo ...

Reddit - Machine Learning · 1 min ·
Ai Infrastructure

A supervisor or "manager" Al agent is the wrong way to control Al

I keep seeing more and more companies say that they're going to reduce hallucination and drift and mistakes made by Al by adding supervis...

Reddit - Artificial Intelligence · 1 min ·
Llms

: [R] Sinc Reconstruction for LLM Prompts: Applying Nyquist-Shannon to the Specification Axis (275 obs, 97% cost reduction, open source)

I applied the Nyquist-Shannon sampling theorem to LLM prompt engineering. The core finding: a raw prompt is 1 sample of a 6-band specific...

Reddit - Machine Learning · 1 min ·
Why Wall Street wasn't won over by Nvidia's big conference | TechCrunch
Ai Infrastructure

Why Wall Street wasn't won over by Nvidia's big conference | TechCrunch

Despite investor fears of an AI bubble, Nvidia's latest conference shows that most in the industry aren't concerned by that possibility.

TechCrunch - AI · 5 min ·
Llms

[P] I built an open-source benchmark to test if LLMs are actually as confident as they claim to be (Spoiler: They often aren't)

Hey everyone, When building systems around modern open-source LLMs, one of the biggest issues is that they can confidently hallucinate or...

Reddit - Machine Learning · 1 min ·
Ai Infrastructure

[R] Seeing arxiv endorser (eess.IV or cs.CV) CT lung nodule AI validation preprint

Sorry, I know these requests can be annoying, but I’m a medical physicist and no one I know uses arXiv. The preprint: post-deployment sen...

Reddit - Machine Learning · 1 min ·
Llms

[Project] Hiring dev team to integrate 24 AI agents into a compliance-driven document processing platform. Anthropic Claude API, structured output, async orchestration

Shoot me a DM if interested! submitted by /u/discobee123 [link] [comments]

Reddit - Machine Learning · 1 min ·
[2601.20888] Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
Machine Learning

[2601.20888] Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators

Abstract page for arXiv paper 2601.20888: Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators

arXiv - Machine Learning · 3 min ·
[2512.05106] NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation
Generative Ai

[2512.05106] NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation

Abstract page for arXiv paper 2512.05106: NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation

arXiv - Machine Learning · 4 min ·
[2512.03194] GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding
Machine Learning

[2512.03194] GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding

Abstract page for arXiv paper 2512.03194: GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding

arXiv - Machine Learning · 4 min ·
[2510.15664] Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss
Machine Learning

[2510.15664] Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss

Abstract page for arXiv paper 2510.15664: Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss

arXiv - Machine Learning · 4 min ·
[2509.24544] Quantitative convergence of trained single layer neural networks to Gaussian processes
Machine Learning

[2509.24544] Quantitative convergence of trained single layer neural networks to Gaussian processes

Abstract page for arXiv paper 2509.24544: Quantitative convergence of trained single layer neural networks to Gaussian processes

arXiv - Machine Learning · 3 min ·
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Related Topics

Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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