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♊️ Google Gemini - the next big thing?

PLUS: Announcing our rebrand!

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Happy Monday, fellow humans. 👋

🥳 We are super stoked to announce the NAB rebrand!


  • Starting this week, we are pulling back cadence to 2x a week (Monday and Friday).

  • Monday editions will look like they always have - just with a more ~sleek~ look!

  • Friday editions will provide you with a wrap-up that curates all the best AI content from the week in quick, bite-sized pieces that will be easier to consume than toast.

  • Also, expect some podcast episodes in the very, very near future, but more on that later 👀 

We love hearing your feedback, so let us know what you think of the rebrand and what content you’d like to see more of - we are all ears!

With that said, let’s dive right into it…

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🧵 In today's edition:

  • ♊️ Google Gemini - the next big thing?

  • 💾 AI needs raw materials

  • 🙅 No Trust in AI

  • 🤑 AI Fundraising News

♊️ Google Gemini - the next big thing?

At Google I/O 2023, Sundar Pichai teased Google’s latest AI marvel, Gemini.

What's so special about it?

  • It’s multimodal, integrating text, images, and more for natural conversations. Think ChatGPT, but on steroids.

  • Jeffrey Dean, Google's Chief Scientist, also hinted that this might be the largest language model to date, with 175 billion parameters.

  • Demis Hassabis, DeepMind's CEO, revealed that techniques from AlphaGo could give it reasoning and problem-solving abilities, memory, fact-checking, and improved accuracy.

According to industry insiders, Gemini’s early results are promising, and its roadmap goes beyond chatbots; it aims to be your ultimate personal assistant, revolutionizing travel, work, and entertainment.

The good news: Select developers outside Google already have early access to Gemini, hinting at an impending beta release.

Even better news (maybe?): Google isn't alone in this AI race - Meta is cooking up something to rival OpenAI's GPT model.

More competition = better products, right?

Overall: Gemini could be a game-changer in natural language processing, and with DeepMind's brilliance and Google's resources, the potential is enormous.

Excited about this launch.

💾 AI needs raw materials

The generative AI revolution, ignited by ChatGPT's success in late 2022, is leading to a battle for data, with tech giants investing colossal sums to acquire invaluable training data, often scraped from the internet without consent.

This data grab extends beyond the web, threatening to disrupt the very fabric of online sharing and copyright.

  • Communities built on sharing knowledge, like Stack Overflow and Reddit, are witnessing declining traffic as AI models provide answers directly.

  • Art generation is more robotic and derivative than ever before.

And the backlash is palpable as content creators, businesses, and web entities realize their content is being exploited.

The response? 

Overall: AI companies are going underground to mitigate legal risks, concealing their training data sources. However, researchers are countering with AI tools that can sanitize data and measure its impact on models.

As the shadow war for data rages on, the AI landscape is at a crossroads, with ethical and legal concerns reshaping the future of AI-powered content generation.

Read more: Yahoo Finance

🙅 No Trust in AI

A recent Gallup survey unveiled a startling truth – most Americans aren't buying into the AI promises businesses make.

  • When asked if they trust companies to handle AI responsibly, 79% responded with 'not much' or 'not at all.'

  • Only a mere 21% expressed 'a lot' or 'some' trust.

Even more telling is that this skepticism spans age, gender, and race, revealing a widespread lack of faith in corporate AI intentions.

Moreover, while CEOs quickly embraced generative AI, the workforce is getting more apprehensive.

  • 22% of respondents fear technology could render their roles obsolete.

  • 72% of 30 to 44-year-olds and 79% of 45 to 59-year-olds stated that AI will decrease the number of jobs.

Overall: The road ahead for responsible AI adoption is fraught with skepticism, and as AI evolves, bridging the trust gap between companies and their AI endeavors becomes a pressing challenge.

Still, it's a journey that companies must undertake to win back trust and maximize the potential of this technology.

Read more: Yahoo Finance

🤑 AI Fundraising News

Superorder raises $10M in Series A funding to help restaurants grow revenue from delivery and takeout with virtual brands. It consolidates all orders from all platforms into a single system, saving time and improving efficiency.

Learn.xyz raises $3M in Seed funding to launch an AI-powered social learning app on iOS and Android that creates "Curiosities" in seconds from taking in a user's question. The app is like a mixture of Duolingo and Wikipedia; its early adopters have created over 60,000 Curiosities to date.

🗞️ AI Quick-Bytes

What else is going on?

  1. The humanoid robot CEO of a drinks company says she doesn't have weekends and is 'always on 24/7.'

  2. How to write your wedding vows with ChatGPT: This couple is doing it — here's how it's working.

  3. Answering AI’s biggest questions requires an interdisciplinary approach.

  4. The Princeton researchers are calling out ‘AI snake oil.’

  5. JPMorgan seeks to back startups after dealmaking wins in India.

  6. A startup that lets you instantly talk in a foreign language targets a Nasdaq IPO at a $1 Billion value.

  7. Sony’s Gran Turismo AI racer can drift now, making it even more unbeatable.

🐦️ Tweet X of the day

A very interesting trend: Consulting giants are rapidly partnering with AI research labs to expand their enterprise offerings.

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And that does it for today's issue.

As always, thanks for reading. Have a great day, and see you next time! ✌️

— Haroon: (definitely) Not A Bot and @haroonchoudery on Twitter

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