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The Robot ReportRobotics

NORD expands compact NORDAC VFD family to 200 hp

NORD Drivesystems said its NORDAC PRO VFDs are adaptable to individual application requirements across industries. The post NORD expands compact NORDAC VFD family to 200 hp appeared first on The Robot Report .

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NORD expands compact NORDAC VFD family to 200 hp
r/MachineLearningResearch

Built & Trained a Transformer from Scratch in Pure PyTorch for English-to-Tamil Machine Translation [Math + Code Breakdown] [P]

<!-- SC_OFF --><div class="md"><p>Hi everyone! 👋</p> <p>I built and trained the complete <strong>Transformer architecture from scratch</strong> using pure PyTorch (`torch.nn` primitives) based on the original "<strong>Attention Is All You Need</strong>" paper.</p> <p>I trained the model on an <strong>English-to-Tamil</strong> parallel translation dataset (`<a href="https://huggingface.co/datasets/gopi30/english-tamil">gopi30/english-tamil</a>` on Hugging Face) using dual NVIDIA T4 GPUs on Kaggl

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Vercel Blog

eve adds new Slack event hooks and session controls

eve agents on Slack can now keep replying in a thread without repeated mentions, cancel an in-progress response or reset a conversation entirely, and react to any event your Slack app subscribes to. Continue conversations without repeated mentions Mentions no longer have to carry the conversation. Once a thread has an active session, your agent can reply on its own. The new onMessage hook receives incoming Slack messages, and two helpers decide which ones to handle: ctx.isBotMentioned() detects

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Hacker News FrontTools

Show HN: FeyNoBg – Automatic background removal model and training library

Hey HN, I’m Shreyash from Feyn. We help companies build custom models from their data. Today, we’re releasing FeyNoBg, an automatic background removal model. Alongside it, we're open-sourcing NoBg, the Python library we built to train and run it. Try the model here: https://huggingface.co/spaces/feyninc/feynobg . Check out the library here: https://github.com/feyninc/nobg Some sample outputs: (1) Soccer Freekick: https://drive.google.com/file/d/1MZkAGLwbhNVOZ0Oi7XvpCfSEu9Q... (2) Hair in wind: h

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Hacker News FrontTools

MAI-Cyber-1-Flash inside MDASH

Article URL: https://microsoft.ai/news/introducing-mai-cyber-1-flash-inside-mdash/ Comments URL: https://news.ycombinator.com/item?id=49072361 Points: 218 # Comments: 108

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The Verge

Why China is giving away its best AI models

Silicon Valley has spent much of the past week on red alert, digesting the arrival of Moonshot AI's Kimi K3, a Chinese AI model that can allegedly beat some of the best systems built by US companies at a fraction of the cost. Its performance alone would have been enough to intensify the rivalry between […]

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Why China is giving away its best AI models
The Guardian AIBusiness

No, Centrica, customers don’t prefer bots to humans | Letter

<p><strong>Charles MacKinnon</strong> disagrees with the British Gas owner’s justification for cutting 1,300 jobs</p><p>According to Centrica’s boss, Chris O’Shea, most people using British Gas prefer to talk to a chatbot rather than a person (<a href="https://www.theguardian.com/business/2026/jul/23/customers-prefer-ai-chatbots-says-chris-oshea-british-gas-centrica-boss">Customers prefer AI chatbots, says British Gas owner as 1,300 call centre and back office jobs axed, 23 July</a>).</p><p>He s

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No, Centrica, customers don’t prefer bots to humans | Letter
AWS Machine Learning Blog

Beyond RAG: Task-aware knowledge compression for enterprise AI on AWS

Traditional RAG hits a ceiling on analytical tasks that span hundreds of documents. This post shows how to use task-aware knowledge compression (TAKC) on AWS to pre-compress entire knowledge bases into task-specific representations, cache them at multiple fidelity tiers, and route each query to the right tier, with an open-source implementation you can deploy.

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AWS Machine Learning Blog

Deepgram enhances Amazon SageMaker AI support with AWS IAM Temporary Delegation

In this post, we cover why Deepgram built on IAM temporary delegation, how the integration works end-to-end, and what it unlocks for customers running Deepgram speech models on SageMaker AI. With this integration, Deepgram has reduced the time for initial investigation on a SageMaker AI support ticket from days to minutes.

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Product Hunt — The best new products, every day

Pinery Prose

<p> AI co-author for books + every edit is a diff you approve </p> <p> <a href="https://www.producthunt.com/products/pinery?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/1208008?app_id=339">Link</a> </p>

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Hubspot

HubSpot AEO vs. Semrush AI Visibility: Which is right for your team?

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/hubspot-vs-semrush-aeo" title="" class="hs-featured-image-link"> <img src="https://53.fs1.hubspotusercontent-na1.net/hubfs/53/hubspot-aeo-vs-semrush-ai-visibility-1-20260724-953314.webp" alt="hubspot aeo vs semrush ai visibility: woman smiling on laptop" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>If you’re comparing HubSpot AEO vs Semr

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Hubspot

AI SEO tools that fit your growth stack

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/ai-seo-tools" title="" class="hs-featured-image-link"> <img src="https://53.fs1.hubspotusercontent-na1.net/hubfs/53/ai-seo-tools-1-20260716-4310515.webp" alt="AI SEO tools" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>AI SEO tools have matured quickly. What started as a novelty layer atop existing keyword tools has become a full-fledged

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GitHub Blog

GitHub Copilot app for Beginners: Getting started

New to the GitHub Copilot app? Learn how to start projects, work with AI agents, explore canvases, and streamline your development workflow. The post GitHub Copilot app for Beginners: Getting started appeared first on The GitHub Blog .

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Product HuntTools

Cleanlist AI

<p> Natural-language prospecting: find, enrich and sync leads. </p> <p> <a href="https://www.producthunt.com/products/cleanlist-ai?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/1207991?app_id=339">Link</a> </p>

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Dev.to

From GitHub Issue to Pull Request: Running Claude Code Unattended

<p>You already run Claude Code by hand: copy issues into a prompt, watch it work, check the diff, and if something breaks halfway through, you restart it. This works fine for one task at a time, but it falls apart when you have 10 tasks simultaneously.</p> <p>Claude Code is good at handling routine engineering tasks: bug fixes, dependency bumps, and small features, when the prompt is clear and the task is scoped. But when it comes to scaling, you need an infrastructure with isolated workspaces,

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Dev.to

🚀 How to Tame Your AI: The 5-Pillar Architecture for Award-Winning Next.js Applications

<p><a href="https://gist.github.com/hassamali898/2f12e217a55c5ccca8eefa5996f15456/archive/09adaf76a006d0fbfb1533f648ba9744631fe9b3.zip" rel="noopener noreferrer">Download the MD files HERE</a><br> <a href="https://gist.github.com/hassamali898/999c840d41bd5f66b942ffad0d96e4d3/archive/13cdeed0b762f40a2c19527ac16281cf0c2c57ac.zip" rel="noopener noreferrer">Download the MDc files for Cursor HERE</a><br> <a href="https://gist.github.com/hassamali898/b8d9f24f90ff79e469da337dc4e77153/archive/53e3caac4f

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Dev.to

7 Kiro Features You're Probably Not Using

<p>Did you know that <a href="https://kiro.dev/?trk=1ad04439-1c50-4fdd-a845-d07d2655fe7a&sc_channel=el" rel="noopener noreferrer">Kiro</a> doesn't just have a Spec-Driven Development (SDD) flow, but also a bug fix workflow that helps you resolve one issue at a time? That's one of seven features worth knowing about.</p> <p>If you're completely new to Kiro, it's an agentic harness for the CLI, web, IDE, iOS, and more. It helps teams and individuals do their best work while coding. I've been using

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Dev.to

CodeBerg Bans Cryptocurrency and LLM-generated code projects

<p>I'm responding directly to <a href="https://hackaday.com/2026/07/24/codeberg-bans-cryptocurrency-and-llm-generated-code-projects/" rel="noopener noreferrer">Maya Posch's</a> piece on HackADay that was published today. Did that rhyme? I think it did. </p> <blockquote> <p>Community-led open source project hosting site Codeberg has formally announced that projects whose code is largely or fully machine-generated through LLMs and other ‘AI’ tools will no longer be welcome. This follows on the hee

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OpenClaw Commits

feat(claws): materialize CLAW.md prompts (#113454)

<pre style='white-space:pre-wrap;width:81ex'>feat(claws): materialize CLAW.md prompts (#113454) * fix(claws): align prompt lifecycle validation * test(claws): cover Unicode frontmatter * feat(claws): materialize CLAW.md prompts * fix(claws): preserve portable provenance import</pre>

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Hacker News 最佳

Kimi-K3 Technical Report [pdf]

Related: Kimi-K3 on HuggingFace - https://news.ycombinator.com/item?id=49065752 Comments URL: https://news.ycombinator.com/item?id=49070985 Points: 389 # Comments: 180

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ByteByteGo

How NVIDIA Builds Open Models for the Age of AI

Bryan Catanzaro, VP of Applied Deep Learning Research at NVIDIA, walked us through how his team builds the company’s open models, the reasoning behind their architecture, and why NVIDIA open-sources so much of it.

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How NVIDIA Builds Open Models for the Age of AI
Towards Data Science - Medium

Reducing Human Annotation with ML Active Learning

In a world where human time is expensive, learn how to use it only when really necessary The post Reducing Human Annotation with ML Active Learning appeared first on Towards Data Science .

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Hacker News Show

Show HN: Otlet – Local LLM inference "inside" Postgres

I’ve been working on Otlet, a Postgres extension for running local LLM inference “inside” Postgres (inference runs in a background worker, while Postgres stores the jobs, inputs, outputs, and receipts) I started it while working on an entity resolution problem (determining which rows in a table refer to the same entity). The data was already in Postgres, but using a model meant pulling rows into another process and then writing the results back. I wanted to see whether I could keep more of that

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