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NVIDIA Inception Startup Spotlight: Turning ideas into products

OpenAI board’s unanimous no to Musk, Meta’s AI humanoid robot plans, Siri and Alexa hit another delay and more!

Author

Everyday AI
February 14, 2025

Outsmart The Future

Today in Everyday AI
6 minute read

🎙 Daily Podcast Episode: How can you turn ideas into products with the help of AI? We sat down with NVIDIA to see how they do it best. Give it a listen.

🕵️‍♂️ Fresh Finds: Apple aims for May launch of Chinese iPhone AI, Meta caught in unlicensed book AI training and xAI to raise $10 billion. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI board’s unanimous no to Musk, Meta’s AI humanoid robot plans and Siri and Alexa hit another delay. For that and more, read on for Byte Sized News.

🚀 AI In 5: We’re breaking down ElevenLabs’ text-to-sound feature, how it works and when you may want to use it. See it here

🧠 Learn & Leveraging AI: We break down how NVIDIA works with startups to turn ideas into reality with AI. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Google Gemini getting a memory boost, U.K. gov. teaming up with Claude and OpenAI removing content warnings. Check it here!

 NVIDIA Inception Startup Spotlight: Turning ideas into products 🧠

How can you quickly turn ideas into products?

Do you need to be overly technical to build in today's day and age of AI?

And what the heck is in the NVIDIA Inception program?

Join the conversation and ask Jordan questions on AI here.

Also on the pod today:

• NVIDIA Inception Startup Program 🚀
• Rapid Changes in AI and Their Impacts 🔀
• Strategies for Startups in the AI Era 💡

It’ll be worth your 37 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – SEObot is an AI agent for blog SEO, Devpilot streamlines developer hiring and Neuradocs helps run Slack and Discord on autopilot.

Apple – Apple is aiming for a May launch of its iPhone AI in China.

Meta – Court filings show Meta paused efforts to use licensed books for its AI training.

Google – Google Gemini is adding free file analysis.

Google’s head of AI is telling employees that they have ‘all the ingredients’ to hold AI lead over DeepSeek.

xAI - Elon Musk’s xAI is in talks to raise $10 billion.

DeepSeek – DeepSeek’s founder is meeting with China’s top politicians, including Xi Jinping.

AI Models - Stable Diffusion 3.5 Large is now available on Azure AI Foundry.

AI Robotics – Unitree has unveiled its updated algorithm for Unitree G1.

1. OpenAI Says No to Musk’s $97.4 Billion Bid 🙅

OpenAI's board has unanimously rejected Elon Musk's $97.4 billion offer to buy out its nonprofit arm, calling it an attempt to disrupt competition. The bid comes amidst Musk's ongoing lawsuit against OpenAI, which he co-founded, accusing them of anticompetitive behavior and fraud.

OpenAI is transitioning to a public benefit corporation, but Musk wants to block this unless the nonprofit preserves its original mission. This corporate tug-of-war could have far-reaching implications for AI enthusiasts and professionals, highlighting the tension between nonprofit ideals and for-profit ambitions in the tech world.

2. Meta Ventures into AI Humanoid Robots 🦾

Meta Platforms is shifting its focus from connecting humans to building AI-powered humanoid robots, starting with household chores. This project, led by Marc Whitten under Meta's Reality Labs, marks a significant pivot after the company's hefty $50 billion investment in the Metaverse.

Meta aims to become a key player in AI software development for robots, collaborating with firms like Unitree Robotics and Figure AI. Leveraging data from their VR and AR ventures, Meta is setting the stage for future AI innovations, potentially reshaping how we interact with technology in everyday life.

3. Siri and Alexa Hit Delays Again 🤦

Amazon and Apple are grappling with delays in launching their generative AI-enhanced digital assistants, Alexa and Siri. According to the Washington Post, Amazon's anticipated February release in New York is now postponed to March or later. Meanwhile, Bloomberg reports that Apple's ambitious AI overhaul of Siri faces engineering hurdles and software glitches, pushing its April launch to potentially May.

These setbacks underline the fierce competition among tech giants as they strive to keep up with next-gen voice assistants like OpenAI's Advanced Voice Mode and Google's Gemini Live.

4. Perplexity Unveils Deep Research For Free 🔍

Perplexity has rolled out its new Deep Research tool, offering a free AI-powered research experience that rivals ChatGPT and Google Gemini. This innovative tool autonomously conducts extensive searches, processes vast amounts of information, and compiles comprehensive reports.

Although access is limited to a certain number of daily answers for free users, it promises to elevate the way individuals and businesses explore complex topics. According to Perplexity, this tool could be a game-changer for anyone looking to deepen their understanding or make informed decisions in their career or business pursuits.

5. Dell and Musk's $5 Billion AI Deal 🤑

Dell Technologies is on the brink of sealing a $5 billion deal with Elon Musk's xAI for AI-optimized servers, according to Bloomberg News. This tech partnership involves the delivery of servers featuring NVIDIA's GB200 semiconductors, bolstering xAI’s capabilities amidst rising AI hardware demand.

The expansion plan for xAI’s Memphis supercomputer, named Colossus, aims to scale up to a million GPUs, a significant leap from its current 100,000. With major players like Dell and NVIDIA setting up shop in Memphis, this move could potentially turbocharge AI innovation and infrastructure growth.

6. Anthropic Challenges US Proposal Blocking Google's AI Investments🤯

AI developer Anthropic has contested a US government proposal that would prevent Google from investing in AI startups, citing potential harm to both competition and themselves. According to a court filing, the proposed remedy aims to dismantle Google’s monopoly in the online search market by enforcing changes like the sale of Chrome and restricting collaborations with AI firms.

The case highlights concerns raised by the Federal Trade Commission about tech giants consolidating data advantages through such investments.

Text-to-Sound effect feature (and more) in ElevenLabs

We’re showing you firsthand how easy it is to generate diverse sound effects using ElevenLabs text-to-sound feature.

We also dish on practical use cases, settings, and tips for getting the most out of this feature.

🦾How You Can Leverage:

Wild but true: A tech startup just deployed a cutting-edge AI model for a client that cost $12. 

In 90 minutes. 

And they're doing it with just 40 people total. 

The old startup rules? Dead. 

The new biz playbook for success? It's not about coding anymore – it's about expertise and using the latest gen tech to turn ideas into products. 

To help us tackle the topic? We had to tag-team it. 

First up: NVIDIA Startup Program Director Will Kofel, who's helping transform two-person garage projects into unicorns through their Inception program. 

Alongside him? Lightning AI CEO William Falcon, whose 40-person team is casually doing what used to take 300 engineers. 

NBD.

Think you need a CS degree to launch an AI company or an AI-fueled offering to your non-tech company? 

Think again.

Let’s break down our 3 biggest takeaways from today’s show.

1 – The Real Reason Most AI Products Fail Today 😲

William Falcon revealed why most companies stumble with AI: They're still writing documentation and emails for humans. 

Faceplam. 

Your internal memos, support tickets, and company wikis need to be written explicitly for large language models now. 

(Weird, we know. Google taught us for decades to write for humans now we gotta write for machines!) 

Why? 

All your written words of today will become your training data of tomorrow.

 The successful products aren't built by the best coders anymore – they're built by the people with the richest, most well-documented expertise.

Try This: 

Record every client interaction, support ticket resolution, and internal process for the next week. 

Write them with step-by-step precision, explicitly stating context a human would normally infer. 

Upload these documents to Lightning.ai's AI Hub. Now use their no-code tools to create an expert system that thinks exactly like your top performers.

2 – Why Senior Partners Could Replace Junior Developers 👥

Remember when startups needed a technical co-founder? 

Not anymore. 

Will revealed the secret: Subject matter experts are the new technical founders. 

Think about it. Law firm partners spend hours answering the same questions from associates. 

Medical specialists repeatedly explain similar diagnoses. 

That expertise? It's pure gold in the AI era.

Throw in some Vibe Coding, and that Senior Partner can launch a new venture quicker than ever before. 

Try This: 

Start with your email outbox. 

Find three repeated explanations you've sent to team members. 

Create a document that breaks down your thought process step-by-step. Include the context you usually keep in your head. 

Upload these to any modern AI platform. Test the outputs with junior team members. Refine based on their questions. 

You just created your first AI expert system.

3 – Everyone Can Clone Your Product. Here’s Why It Doesn’t Matter 🤔

"Fast follow" isn't new. Copycats aren't new. What's new is the speed.

Will from NVIDIA points out something counterintuitive: When everyone can build anything overnight, building becomes worthless. Customer relationships become everything.

The startups winning now? They're not winning on features. They're winning on trust. Support. Understanding their customers' actual problems.

In a world where anyone can clone your product in hours, your moat isn't your code. It's your customer obsession.

Try This:

List your last five customer conversations. 

Not the sales calls. 

The real ones. The ones where they told you what's actually keeping them up at night. Now build ONE thing that solves ONE of those problems. Not the whole problem. Just a piece. Deploy it this week. Get feedback. Iterate. 

That's how you build an uncloneable business.

Even when a competitor can instantly turn an idea into a product. 

⌚

Numbers to watch

$15K

A job ad for Y Combinator startup Firecrawl seeks to hire an AI agent for $15K a year.

Now This …

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