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Here's what we didn’t miss out on:

• OpenAI is planning an open-source language model

• VCs aren’t backing AI startups

• What do penguins have to do with Google Bard?

• Examining AI’s impact on loneliness

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OPENAI & GOOGLE STRESS OVER OPEN-SOURCE PROJECTS

Open-source AI projects are catching up to the pack and leaving the companies at the top of the mountain worried about a long fall down. And that hype cranked the dial to 11 after news dropped about OpenAI’s big plans for the future.

The creators of ChatGPT are building an open-source model for the rest of us. GPT-4 for you and yours.

That’s actually a lie. Whatever Large Language Model Sam Altman and company offer clients and developers doesn’t matter. They screw themselves by making it as good as GPT-4.

Expect them to release something like Diet GPT-4.

Google is a little behind on this, and both companies worry about their lack of a moat when making AI tools.

But does an open-source model make sense?

Hear me out. The options are out there, and they perform at a level close to the top dogs. So, why aren’t you using it?

The answer lies in the history of the internet. There are option-source operating systems, like Linux, but most people don’t use them because of the convenience and ease of using Mac or Windows.

You go to the browser for ChatGPT and Bard. It’s all you need.

Corporations can afford to train these models, but personal use is a lost ball game.

The future of AI is not open-source anymore. Instead, it’s companies rushing to make their own generative AI tools to keep collecting your data for their goals and profits.

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VENTURE CAPITALISTS AREN’T AS HYPED AS WE THOUGHT

Welp. It turns out that private market investors aren’t pouring money into AI startups at the speed we all thought.

A first-quarter report from CB Insights shows a slide in AI deals done in the venture space. In Q1 of 2022, funds poured $15.7B into 883 deals within this space. This year, VCs invested $5.4B in 554 deals.

Every VC fund and Angel investor worth a penny is talking about AI, but the money isn’t following.

What gives?

The obvious answer is the lag in response time. AI hype will take a minute to show up in the numbers. 

But there’s also the general market slowdown. People aren’t partying like it’s 2021 in Silicon Valley right now.

Instead, the funds burned by the crypto fallout are licking their wounds, and rushing into the next hype cycle is not a good look.

AI startups aren’t desperate for the cash either. Many of them are finding their audience and growing their cash flow without the need to scale today.

Tomorrow many of these founders will sniff around for VC money, but advisors told them to focus on building and avoid burning cash while waiting on this freeze to thaw.

We need to worry if this becomes a more prominent trend.

That would mean many early-stage companies aren’t breaking through and finding footholds. Instead, tech giants might devour their smaller competition to avoid conflict.

That’s a more significant issue we’ll need to see play out.

Quick Nuggets

🔞 Yikes! Sudowrite, an AI writing tool, keeps mentioning the “omegaverse” an NSFW trope from the Supernatural fandom

7️⃣ The 7 ways Google is trying to compete with ChatGPT

🛜 The debate around connecting ChatGPT to the internet is over, so see what happened behind-the-scenes

💬 Going beyond prompts, what will it take to get us to that future?

🤥 Tell me lies, ChatGPT. Here’s how this developer made it happen

📌 ChatGPT is wrong, so learn how to break the news to it

🇮🇹 Italy is funding protections to prevent workers from getting replaced by AI

🤬 Content moderation is not getting better in the age of generative AI

🛑 Stopping AI research is not the solution, but refocusing it might be

🎵 Are you lonely tonight? Elvis and AI want to know, but only AI is impacting this crisis

✈️ AI in Aviation: Find out what tech is powered by Artificial Intelligence in planes

🕷️ Spider GAN is a research paper with an idea to marvel at

⚛️ LLMs can simulate everything, and we need to use that more

📦 A complicated paper that introduces the idea of “white box” learning for models

🎙️ AI plays co-host in this bizarro podcast

🐧 More penguins will get access to Bard than Europeans, no seriously

🔥 Fresh Products

• AuxWorld - create custom interactive adventures (link)

• SciSpace - launches an academic AI detector (link)

• smol-developer - make your own junior developer (link)

• Databerry - custom AI bot made on your data (link)

• WPTurbo - helps you ship your WordPress faster (link)

• aiCarousels - craft Instagram carousels in a blink (link)

• DayZero - turn your ideas into action plans (link)

• LLAMABOT - embed a custom chatbot in your site (link)

• Quazel - helps you learn a new language (link)

• Yappir - no-code solution for adding chatbots to your product (link)

• Conju - drag and drop to craft AI apps (link)

• Markup - turns your text into structured data (link)

• FeedAI - a new way to manage social media (link)

• Plus AI - updates your Google slides from a snapshot (link)

• Slatebox - collaborative visualizations made with AI’s help (link)

• Vectorizer - turn images into vectors with a snap (link)

Good Content, Marvel Call

I wasn’t going to share this until I saw that this is how Midjourney pictures Rocket Raccoon from Marvel’s Guardians of the Galaxy 😂

_{That’s it for today. I hope you enjoyed the latest edition of inclined.ai - Davis.}

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