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simonsfoundation
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Feature
The project aims to help mathematicians use AI while shaping its integration into their field.
Why it mattersThe Simons Foundation is reshaping how AI integrates into specialized fields like mathematics, advocating for community-driven standards. This initiative underscores the need for domain experts to guide AI's role, setting a precedent for other disciplines.
Read full article →Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Top Hacker News discussion.
simonsfoundation
These numbers are from a public benchmark where AI agents run a simulated media buy. In plain terms, the agent gets a brief and a budget for buying advertising space, negotiates with three sellers running fixed software…
r/AI_Agents
I kept tuning the LLM prompt and the TTS voice! The calls still felt off. Then I looked closer at the actual audio timing instead of the transcript. The problem wasn't the words. It was when the agent started talking. V…
r/AI_Agents
I’m building an AI agent for the shipping and customs department of a large importer in Africa. Everything comes in by email (invoices, bills of lading, certificates, insurance, customs docs), often as scans in several…
r/AI_Agents
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right…
github | stars 33,035
Trending AI model on Hugging Face — text-to-image.
🤗huggingface
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」,桌面本身也是「插件」。
github | stars 30,952
Evaluating decision models for document categorization
thoughtworks
In this article, we will look at how the DoorDash engineering team built this gateway and the decisions they made.
blog.bytebytego
Foundation models are driving a paradigm shift in robotic intelligence, moving beyond low-level action prediction to goal-directed orchestration of data collection, model training, task planning, and real-world executio…
arxiv
An agentic market is a decentralized serving-time market where AI agents bid to claim each user prompt. An agent's bid is based on its expected value for the prompt, which is the expectation of the reward for its respon…
arxiv
We study how to improve LLM reasoning at inference time without updating model weights or using external reward models. Recent reward-free power-sampling methods define the sequence-level power target $π_α(y\mid x)\prop…
arxiv
Where to start with agent evals, offline vs online evals, evaluator types, LLM judges, benchmarks with Harbor, multi-turn evals, and keeping costs down.
langchain
Vector stores have been part of the Python experience in Semantic Kernel for some time. With Microsoft Agent Framework, we have ported that work forward rather than starting over. This post focuses on Python. For the .N…
devblogs.microsoft
This document curates the most common questions Shreya and I received while teaching 5,000+ engineers and PMs AI Evals. Warning: These are sharp opinions about what works in most cases. They are not universal truths. Us…
hamel
Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using SageMaker Studio or the SageMaker Python SDK…
aws.amazon
Apple researchers describe Minions, an internal system that runs AI inference jobs on idle Apple Silicon Macs when GPUs are scarce.
tomshardware
Want to understand what makes LLMs fast? Build the systems yourself.
kdnuggets