Good morning, human brains. Welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

• OpenAI meeting leak 🚰 🧠 

  An inside scoop from an exclusive meeting with Sam Altman.

• AI cracks sorting algorithms 🤖 

  Google DeepMind surpasses decades of computer science wisdom.

• Bing doesn’t like it when you search for Chrome 😠 

  Its AI responds with Bing features instead.

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APPETIZER

OpenAI meeting leak 🗞️ 

Two weeks ago, OpenAI CEO Sam Altman held a secret meeting with a handful of engineers and startup CEOs in London.

Shhhh.

But afterward, one of the participants released a blog post — then mysteriously took it down. Here’s what he revealed:

1/ Altman disclosed that a shortage of specialized chips is holding back OpenAI. GPT-5 will take a whole lot longer while chip manufacturers catch up.

2/ Altman listed out OpenAI’s goals for the year: make GPT-4 faster & cheaper, provide a longer context window, roll out an easier way to fine-tune GPT-4 for specific customer use cases, and allow ChatGPT to retain a memory of past conversations you have with it.

3/ OpenAI reportedly has no intention of releasing a consumer-facing product after ChatGPT. A collective sigh of relief for AI developers. OpenAI will remain a platform org, instead of competing in the app space with its own suite of GPT-powered products.

4/ OpenAI is considering open-sourcing more of its models.

5/ Altman shared he doesn’t think existing models pose an outsize risk. In his words, "it would be a big mistake to regulate or ban them."

Our predictions: OpenAI will open-source models from some of its weaker models. We probably aren’t going to see any sign of GPT-5 until at least 2024.

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BUZZWORD OF THE DAY

MAIN COURSE

A better way to sort 🤖 

Google’s DeepMind just introduced AlphaDev — an AI that’s uncovered several record-breaking sorting algorithms.

Sorting algorithms are one of the basic building blocks of computer science, and they’re used trillions of times per day in software all over the globe. So, a breakthrough in such a deeply understood problem like sorting? That’s quite the feat.

The secret sauce?

Gamification. DeepMind created a game in which players select low-level CPU instructions to build sorting algorithms from scratch — called AsssemblyGame. It’s especially challenging because a single wrong instruction completely wrecks the end result.

And the result after AlphaDev played the game?

The new algorithms it produced, in fixed and variable sort flavors, performed better than state-of-the art human benchmarks. The new algos have since been integrated into the LLVM standard C++ library.

01000101 01110101 01110010 01100101 01101011 01100001 00100001

There’s still room for improvement, though. This method doesn’t as well as the size of the algorithm grows, and it can’t yet optimize algorithms in higher-level languages — yet.

Our thoughts: First it was chess, then Go, then video games, then novel drug design, now it’s computer science. The Alpha AIs can apparently do it all. What’s next?

MEMES FOR DESSERT

YOUR DAILY MUNCH

Think Pieces

a16z: why AI will save the world.

Beyond Perfection: how AI unleashes creativity by lowering our standards.

Startup News

Microsoft’s Bing farts in Chrome’s general direction, produces bogus Chrome search results with fake AI answers.

DeepMind AlphaDev paper in Nature: record-breaking sorting.

Research

Scientists use ChatGPT to optimize clinical decision support.

Why can’t Siri sing? Cultural narratives that constrain female singing voices in AI.

Tools

Tweet Hunter: Join 5000+ Twitter creators leveraging AI. Powered by GPT-4. [Sponsored]

Portaly: custom link-in-bio landing pages.

PromptChainer: create complex AI-driven flows in one click.

HeyPhoto: tune your selfies and photos with AI.

Scribbly: use ChatGPT anywhere in your browser.

TWEET OF THE DAY

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Until next time 🤖😋🧠