AI News Today

Article URL: https://arxiv.org/abs/2608.21311 Comments URL: https://news.ycombinator.com/item?id=49426227 Points: 1 # Comments: 0

Article URL: https://blog.astrost.at/u/replace-using-ai-with-using-computers/ Comments URL: https://news.ycombinator.com/item?id=49425988 Points: 2 # Comments: 2

<!-- SC_OFF --><div class="md"><p>hello everyone. I'm training PPO variants on different multi-agent tasks from the <a href="https://github.com/proroklab/VectorizedMultiAgentSimulator">VMAS</a> library (Independent PPO / Graph PPO and such, see HetGPPO by Bettini et al.). </p> <p>I noticed that for every architecture/scenario couple, the optimal hyperparameters sometimes tend to vary (learning rate, entropy coefficient, KL coefficient, SGD batch size, etc). </p> <p>do I need - methodologically s

Article URL: https://blog.archive.org/2026/08/16/vintage-artificial-intelligence-before-it-got-awkward/ Comments URL: https://news.ycombinator.com/item?id=49425800 Points: 115 # Comments: 21

Article URL: https://dordar.zohorecruit.com/jobs/Careers/871895000000585001/Senior-Full-Stack-Platform-Engineer-AI-Assisted-Engineering?source=CareerSite Comments URL: https://news.ycombinator.com/item?id=49425634 Points: 1 # Comments: 0

Article URL: https://dactyl.dev/ Comments URL: https://news.ycombinator.com/item?id=49425599 Points: 14 # Comments: 0

Article URL: https://mybestlook.app Comments URL: https://news.ycombinator.com/item?id=49425597 Points: 1 # Comments: 0

Article URL: https://chinai.substack.com/p/chinai-372-chinas-overhyped-embodied Comments URL: https://news.ycombinator.com/item?id=49425584 Points: 2 # Comments: 0

Article URL: https://icepanel.io/blog/2026-08-17-cognitive-surrender-with-ai Comments URL: https://news.ycombinator.com/item?id=49425259 Points: 1 # Comments: 0

Dogotix, the humanoid unit of XPeng Motors, has attained a valuation of $6.3 billion as it plans to produce robots at scale. The post XPeng Motors humanoid robot unit Dogotix raises $900M appeared first on The Robot Report .

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with open-source KubeRay and standard Ray APIs.

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1vxcc1h/r_using_ai_as_a_spatial_software_generator_to/"> <img src="https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&crop=smart&auto=webp&s=de730fbf7ecace6df0036b21470c16a2d4feacfb" alt="[R] Using AI as a spatial software generator to create 3D objects that are inherently programmable" title="[R] Using AI as a spatial software generator to create 3D objects that are inherently pro

<p> Turn user behaviour into higher conversions with AI </p> <p> <a href="https://www.producthunt.com/products/splitsense?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1231198?app_id=339">Link</a> </p>

Article URL: https://boydkane.com/essays/llms-could-control-their-host-machines-by-exploiting-inference-engines Comments URL: https://news.ycombinator.com/item?id=49424387 Points: 161 # Comments: 75

Learn how to build a customizable, smart-caching knowledge management system on AWS that captures and delivers institutional (tribal) knowledge through a voice-first AI avatar. The accelerator uses Amazon Bedrock Knowledge Bases for retrieval-augmented generation and deploys in hours with AWS CloudFormation.

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

MTIA 300 is the first of Meta’s family of in-house training and inference accelerators optimized for training ranking and recommendation models. We’re sharing how MTIA 300’s built-in NIC chiplets allow it to meet the communication needs associated with training recommendation models with superior performance over general-purpose GPUs. By co-designing MTIA’s communication library, HCCL, alongside the [...] Read More... The post MTIA 300: Meta’s First Training Chip with Built-in NICs and Communica

If your developers are using AI coding tools, you are probably already seeing the upside: faster development, more code, and less time spent on routine work. The harder part is what comes after. AI can also introduce open-source packages at a pace your security team was never built to handle. More dependencies mean more vulnerabilities to review, more remediation work, and a backlog that can

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1vx94er/bart_a_vintage_llm_r/"> <img src="https://preview.redd.it/27z2aamswclh1.png?width=640&crop=smart&auto=webp&s=ba36a31376435bcec7f675b732595ad9dd2641a7" alt="Bart- A vintage llm [R]" title="Bart- A vintage llm [R]" /> </a> </td><td> <!-- SC_OFF --><div class="md"><p>after 3 months and $800 burned...</p> <p>Unbounded Labs is proud to introduce Bart, our vintage LLM: 2.82B parameters trained from scratch on 20.1B tok

<p><strong>Release:</strong> <a href="https://github.com/simonw/llm-anthropic/releases/tag/0.27">llm-anthropic 0.27</a></p> <p>This release of the Anthropic plugin for <a href="https://llm.datasette.io/">LLM</a> mainly provides compatibility with the recently released <a href="https://github.com/anthropics/anthropic-sdk-python/releases/tag/v1.0.0">anthropic v1.0.0</a> Python library, which switches from <code>httpx</code> to <a href="https://github.com/pydantic/httpx2">httpx2</a>. OpenAI made th

AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (ARD) standard to enable cross-environment discovery and governance at scale.

Learn how to build a voice ordering system for restaurants that answers a phone call and takes an order end to end, with no app, no website, and no sign-in. It uses Amazon Connect for telephony, Amazon Connect Agentic Voice for real-time speech, an Amazon Connect AI agent for reasoning, and Amazon Bedrock AgentCore Gateway to reach backend tools through MCP.

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. The idea of letting a machine do the driving for you may put a lot of people off autonomous vehicles . But research could make it possible to backseat-drive an autonomous vehicle just as you might with a human driver. Self-driving cars carefully balance a host of parameters to ensure a smooth ride, including things like speed, acceleration, and the smoothness of turns. But human driving preferences c

<p> See every ad running inside ChatGPT </p> <p> <a href="https://www.producthunt.com/products/chatgpt-ad-library?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1231025?app_id=339">Link</a> </p>

In this article, we will look at how code verification works, why the rise of AI-generated code puts more pressure on it, along with the extremely useful insights from Andrea on what the future may look like.

The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,...

To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That requires AI infrastructure designed and built as a full factory, not a collection of individual accelerators. Hyperscalers and AI-native companies building custom XPUs must consider […]

The next era of AI inference won’t be defined by a single breakthrough chip, network or system. It’ll be defined by how every layer of the AI factory works together. That’s why NVIDIA is extending Vera Rubin NVL72 with fast token generation for agentic systems. Announced today, the NVIDIA Vera Rubin rack-scale system NVIDIA Groq […]

According to OpenRouter data, agentic AI workloads consume 15x more tokens than a simple chat request. Why? Consider what happens when an AI agent researches a company for an investment decision. The agent queries financial databases, searches news and filings, invokes a sub-agent to run peer comparisons and model valuations, then synthesizes everything into a […]

AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing...

Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users,...

AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks....

NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform. At the core of the platform is NVIDIA Vera Rubin NVL72, the...

A practical guide to running compact, privacy-preserving language models on your own hardware for faster, cheaper, and more controllable AI-powered applications.

The AI boom has disrupted the way engineers work, introducing new tools to learn, raising expectations for what teams can achieve in a workday, and making it harder to get hired in the first place. This makes it difficult to advise students on which specific coding languages or technical skills they should learn. So amidst the uncertainty, advice for young professionals often turns to a common refrain: Be adaptable. But what does adaptability look like in practice? Engineers often operate on the

A practical collection of tips for combining AI, Blender, and Blender MCP to streamline your Three.js workflow.

Differential acceleration of cyber, math, and AI