Wordware (YC S24)’s Post

In the cacophony of AI, AGI - and thinking AI will take over the planet - hard to imagine following Software Systems still creating problems on a Leap Day Read More here: https://lnkd.in/eTaDqqwA

News on the Zatomic AI front: we have some big things in the works, but the first thing we're putting out is our Tokens API. Being able to get *input* token counts and costs *before* making calls to AI models is something every AI engineer needs when building their AI apps. And oh yea, it's 100% free. The Tokens API will be launched very, very soon, so keep an eye on this space for the announcement and details.

Does anyone ever feel like the whole world is watching you? I mean, if it is true, we need to bring computing to the tiny spot.  I know building something like a CPU or GPU must be hard, so what else can we do? So is it hard, so we should give up? It's like a long dream to make huge computing into the tiny space, which might enable real intelligence. So take a deep breath and think, why should we have to do this? If you think we definitely should do this, let's talk. [email protected]

🎙️ A Throwback Episode of "What's New in Data" That's Still Fresh: AI Insights with Patrick Miller & Host, Striim's Head of Product, John Kutay! With Patrick's extensive experience at Google and Newfront, he offers invaluable insights for anyone in the data and AI space. You'll discover the five core AI principles that Patrick and his team at Newfront adhere to: 👨💼 Human in the Loop: Ensuring AI systems include human oversight for critical decisions. 🔍 Transparency and Explainability: Building trust through understandable and traceable AI decisions. 🧪 Thorough Testing: Robust testing for performance and safety before deployment. 🔒 Security and Privacy: Protecting customer data and maintaining privacy. ⚖️ Avoiding Bias: Developing inclusive AI systems that do not reinforce unfair biases. Patrick encourages data leaders to align their initiatives with business goals, using AI to build products that impact revenue or cost savings, and being proactive in experimenting with AI. 🎧 Listen to the full episode now! https://lnkd.in/gZ7twupt #AI #data

👋🏽 We’re Gradient Labs, and here’s what we’re up to If you’re interested in following along on the AI, Engineering, and Product work that goes into building AI agents that automate manual, repetitive work—come and join us on our nascent blog ✨ https://lnkd.in/eJgWCSHE

When the conversation around tech - and especially #AI – is hurtling forward in a dizzying way it can be helpful to glance back before looking forward. At Stripe Partners we've been reflecting on what we've learned over the last 8 years working in the AI/ML space – and this piece boils things down to 5 key things we think are critical to inform AI-product thinking and practice. These are at the heart of our Grounded AI approach, which combines our expertise in social science, design and data science to deliver strategic clarity and practical engineering-ready outputs. Ping Tom Hoy and Qamar Zaman who are driving this work if you want to know more. Link: ⬇

@dropbox is an excellent example of working towards "The Rule of 40" but as you'll read in this article from @Saastr, the rocketship that is Dropbox is so much more than just a growing profitable company - especially considering that they've recently seen slower growth in their main product offering and even new product offerings. The key point here is that they understand the need to continue to innovate, insert AI, and work towards operational efficiency. 5 Interesting Learnings from DropBox at $2.5 Billion in ARR | SaaStr https://lnkd.in/g_4wAkF6 .

I was very surprised to find out that https://vc.new was available to buy. .new domain is usually used for performing new actions and creating something. Hey AngelList, Carta, did this slip past you? I wanted to build a helpful tool for founders, and now I've got the perfect domain for it. Founders, ready to sharpen your pitch game? This VC will grill you with critical questions to pinpoint weak spots in your pitch. Plus, you'll walk away with a detailed memo. Building it with Vercel AI SDK only took a few hours. More tools coming soon!

What was your first prompt? And more importantly, what was your 'Aha!' moment, where you received a response that was so good, you kept going back? One of the biggest challenges in building AI apps is that they can do everything, making it difficult to narrow down to a great, high value, immediate use case. I still haven't cracked this for Riff Raff, but we're testing and refining.. So what was the prompt that made AI sticky for you?

🔥 Exciting News! 🔥 We've just released our latest rankings of the 30 most sought-after venture-backed companies in the secondary market. Discover which innovators have been making waves. What do you think of the companies listed? Share your insights!