ChatGPT's new prompt-engineering shortcut

PLUS: Google writes the news


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

Here’s what’s on the menu today:

  • ChatGPT for Android 📲 🧠 

    OpenAI’s app for Android is available for “pre-register.”

  • New ChatGPT’s feature 🦾

    ChatGPT launched “Custom Instructions.” What it is and how it works.

  • Google’s News AI ✨ 

    It’s code-named Genesis, and Google’s been pitching it to a news outlet you probably consume.


ChatGPT for Android 📲

ChatGPT’s Android App is finally available — to “pre-order,” that is.

Goodness gracious, OpenAI.

Here’s what comes in the package:

1/ Mirrored functionality. It's like the web-based version but on your Android phone.

2/ Sync-capability. Your preferences and history synced between your mobile and desktop experiences.

Rolling out. Eventually.

3/ The US gets dibs. The rest of the world can apparently wait.

Our take: I mean, seriously, what’s taking them so long? The iOS version has Siri and shortcuts functionality, so hopefully Android users will see similar. Time will tell. Developing what is essentially two different apps isn’t easy, but it feels like there’s some foot-dragging on the Android side of things…


Prompt engineering

Prompt engineering refers to the art of finessing LLMs into generating a desirable output.

By making specific requests, adding detail, and specifying how you’d like the LLM to answer, you can engineer the chat AI to produce a much more complete or interesting answer.


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ChatGPT’s Custom Instructions 🦾

ChatGPT’s launched a new feature called “Custom Instructions. It gives ChatGPT memory recall capabilities, customization options, and more.

1/ Users set preferences that ChatGPT uses in all future outputs. This makes detailed prompting way, way more efficient — just include all the specifics in Custom Instructions instead of pasting them in from scratch every time.

2/ ChatGPT Plus subscribers have Beta access, but it’ll be available for all users soon.

3/ There’s a 1,500 character response limit.

4/ OpenAI claims the data will enhance the model’s performance, but users can opt out of settings.

Our take: OpenAI’s releasing this feature after murmurings of a decline in GPT-4’s performance. Could be planned, could be coincidence, but the timing’s certainly in their favor. We anticipate a growing trend of customizability and settings that let you tailor your AI’s output — just like modules or packages in programming. Stock intelligence, customized personality modules.


Google’s journalism AI ✨ 

So it begins.

Well, that’s a little sinister…

Google pitched Genesis to The New York Times, The Washington Post, and other notable publications for testing.

Some executives said it was “unsettling,” and voiced concerns that the AI wouldn’t be able to produce a faithful story.

Google has stated Genesis is a “responsible technology“ that will help journalists, not replace them.

Ah ok, now I’m convinced.

Our take: Earlier this year, CNET’s use of AI in articles led to factual errors and plagiarism. But, of course, the news industry is using AI and will continue to do so. It’s just a matter of time before news is openly produced by machines — and fact-checked by humans. A new profession?



Think Pieces

LLama 2 is expensive. GPT 3.5? In comparison, it’s pretty cheap.

China officially mandates that AI must have “core values of Socialism.” What the new guidelines mean for the development of Chinese AI.

Will AI end the world? Dr. Strangelove revisits us — and here’s how to use AI creatively.

Startup News

Google releases info on its “Red Team” — a group of AI hackers working to make AI safer.

Gushwork.AI raises $2 million in funds. The goal: outsource AI-specific business tasks.

Assembly AI’s Conformer 2 is here. The automatic speech recognition model was trained on 1.1M hours of English audio.


Where did LLMs come from? An in-depth look at the evolution of 15,821 Large Language Models.

TokenFlow. A method for enhancing video synthesis in image models.

SciBench. A method to get LLMs to develop “college-level“ problem-solving capabilities in Science.


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Superhuman AI — the highly anticipated AI-powered email productivity tool.

Articula — an accurate AI-powered translation IOS app for 24 different languages.

Magic Hour — an AI-powered video creation platform.


Elon Musk really likes the letter “X.” So much so, that he’s even renaming “Twitter” to “X“.

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Until next time 🤖😋🧠

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