Some startups and researchers who can t access the most advanced chips are adopting a "frugal AI" approach, building smaller models on open-weight systems (Rina Chandran/Rest of World)
Rina Chandran / Rest of World : Some startups and researchers who can't access the most advanced chips are adopting a frugal AI approach, building smaller models on open-weight systems Amid a widening global divide in AI adoption, low-cost AI models that can deliver sovereignty and efficiency
Featured Podcasts
Hard Fork:
The Future of Addictive Design + Going Deep at DeepMind + HatGPT
The future is already here. Each week, journalists Kevin Roose and Casey Newton explore and make sense of the latest in the rapidly changing world of tech.
Subscribe to Hard Fork.
Great Chat:
Go touch some grass (but don't tweet about it)
A podcast mostly about tech. Brought to you weekly by Angela Du, Sally Shin, Mac Bohannon, Helen Min, and Ashley Mayer.
Subscribe to Great Chat.
Lenny's Podcast:
An AI state of the union: We've passed the inflection point, dark factories are coming, and automation timelines | Simon Willison
Interviews with world-class product leaders and growth experts to uncover actionable advice to help you build, launch, and grow your own product.
Subscribe to Lenny's Podcast.
Access:
The future of AI might be on your finger
A show about the tech industry's inside conversation, hosted by tech reporter Alex Heath and founder whisperer Ellis Hamburger.
Subscribe to Access.
The Upstarts Podcast:
Axiom's Carina Hong: Solving Math's Hardest Problems With AI, And AI's Problems With Math
Veteran tech reporter Alex Konrad sits down with breakout entrepreneurs taking on the status quo to shake up their fields in AI, design, nuclear energy, space, and more.
Subscribe to The Upstarts Podcast.
Tools and Weapons with Brad Smith:
Ryan Roslansky: Turning AI Anxiety into Skills for the Future of Work
Microsoft Vice Chair and President Brad Smith speaks with leaders in government, business, and culture to explore the most critical challenges at the intersection of technology and society.
Subscribe to Tools and Weapons with Brad Smith.
Add your podcast here
Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
modelstartupglobal
Intel Arc B70 Benchmarks/Comparison to Nvidia RTX 4070 Super
Good day everyone! You may remember me from such posts as Getting An Intel Arc B70 Running For LLM Inference on a Dell Poweredge R730XD . Maybe not. Probably not... Anyway, I've had this card for about a week now, I ordered it on launch day and have been beating my head against a wall with drivers and other issues until finally getting it running properly! Since then, I've realized there's a significant lack of people actually testing this card and getting some real benchmarks out into the community. Something something be the change you want to see in the world, something something... So I've done some testing, and this certainly won't be the last of my tests and benchmarks, but it'll certainly be the first. I know what is on the community's mind. I hear you ask "How does the new Intel ca
Why I Run 22 Docker Services at Home
Somewhere in my living room, a 2018 gaming PC is running 22 Docker containers, processing 15,000 emails through a local LLM, and managing the finances of a real business. It was never supposed to do any of this. I run a one-person software consultancy in the Netherlands; web development, 3D printing, and consulting. Last year, I started building an AI system to help me manage it all. Eight specialized agents handling email triage, financial tracking, infrastructure monitoring, and scheduling. Every piece of inference runs locally. No cloud APIs touching my private data. This post covers the hardware, what it actually costs, and what I'd do differently if I started over. The Setup: Three Machines, One Mesh Network The entire system runs on three machines connected via Tailscale mesh VPN: do
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Why I Run 22 Docker Services at Home
Somewhere in my living room, a 2018 gaming PC is running 22 Docker containers, processing 15,000 emails through a local LLM, and managing the finances of a real business. It was never supposed to do any of this. I run a one-person software consultancy in the Netherlands; web development, 3D printing, and consulting. Last year, I started building an AI system to help me manage it all. Eight specialized agents handling email triage, financial tracking, infrastructure monitoring, and scheduling. Every piece of inference runs locally. No cloud APIs touching my private data. This post covers the hardware, what it actually costs, and what I'd do differently if I started over. The Setup: Three Machines, One Mesh Network The entire system runs on three machines connected via Tailscale mesh VPN: do
![How to Embed ChatGPT in Your Website: 5 Methods Compared [2026 Guide]](https://media2.dev.to/dynamic/image/width=1200,height=627,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fap1l58ek0p6aqj2yrzi6.png)
How to Embed ChatGPT in Your Website: 5 Methods Compared [2026 Guide]
You want ChatGPT on your website. Maybe for customer support. Maybe to answer FAQs automatically. Or maybe you're running live events and need AI to handle the flood of questions pouring into your chat room. Learning how to embed ChatGPT in your website is simpler than you think - but there's more to consider than most guides tell you. Here's the thing: most guides only cover half the picture. They show you how to add a basic AI chatbot widget. But what happens when 5,000 people hit your site during a product launch? What about moderating AI responses before your chatbot tells a customer something embarrassingly wrong? And what if you need AI assistance in a group chat, not just a 1-to-1 support conversation? To embed ChatGPT in your website, you have two main approaches: use a no-code pla
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!