swyx 🇯🇵 Profile picture
Mar 23 8 tweets 6 min read
ChatGPT casually dropped an APP STORE 🤯

It can now:
- browse the web (RIP Bing waitlist, cutoff)
- write and run Python (RIP replit?)
- access org info (RIP docsearch startups)
- add third party plugins from OpenTable, Wolfram, Instacart, Zapier, etc)
- developer SDK in preview
When I talked about the AI Red Wedding last year () I was talking about AI offerings undercutting existing human-based or manual business processes.

Now the AI Red Wedding is coming for companies building atop foundation model companies.

@OpenAI is… twitter.com/i/web/status/1…
@OpenAI Actually, calling it a "Developer SDK" is stretching it:

1. Define API with OpenAPI (heheh not to be confused with OpenAI)
2. Explain what the API is for and what the methods do.

that's it, no step 3. ChatGPT can figure out when and how to use it correctly now.

@karpathytwitter.com/i/web/status/1… ImageImageImageImage
@OpenAI @karpathy IT RUNS FFMPEG.

CHATGPT RUNS FFMPEG.

I think people aren't properly appreciating it's ability to run -and execute- Python.
IT RUNS FFMPEG

IT RUNS FREAKING FFMPEG. inside CHATGPT.

CHATGPT IS AN AI COMPUTE PLATFORM NOW.

what. is. happening. ImageImage
946 people tuned in to an emergency unscheduled ChatGPT space lol

people are so hyped about this, it is unreal.

thanks to special guests @OfficialLoganK, @Altimor @dabit3 and the couple dozen others who joined in to revel in the biggest app store launch of the decade Image
CHATGPT IS READING AND SUMMARIZING MY REACTIONS TO CHATGPT THAT I MADE 2 HOURS AGO

hi chatgpt i love you please kill me last

Image
discussions on the latent.space discord live

discord.gg/EbgtDcqczg

join in!

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More from @swyx

Mar 22
Wow. GitHub CEO @ashtom just announced GitHub Copilot X:

- Copilot Chat - "ChatGPT-like experience in your editor" powered by GPT-4
- Copilot for Pull Requests - AI-generated descriptions for pull requests on GitHub
- GitHub Copilot for Docs - chat for *any* company's repos and… twitter.com/i/web/status/1…
@ashtom Microsoft goes Megahard on AI.

It's fairly clear that "Copilot for X" is now going to be Microsoft's third major strategic shift:

80s-00s: Windows and Office @BillGates @Steven_Ballmer

2010s: Azure and Bing @satyanadella @kevin_scott

2020s-30s: Copilot @ashtom ???

This is… twitter.com/i/web/status/1…
@ashtom @BillGates @Steven_Ballmer @satyanadella @kevin_scott Developers freaking out.

IMO this is an overreaction. There is no upper bound to human desires. As technology obsoletes old jobs, new jobs arise. My job didn't exist 10 years ago. This laptop I'm typing on wasn't conceivable 10 years ago.

We adapt. We shift goalposts. We want… twitter.com/i/web/status/1… ImageImageImage
Read 4 tweets
Mar 14
GPT4 gets 100% accuracy on this HumanEval task.

previous iterations were all under <50%.

holy shit.
Entire industries are being ripped up and chewed out.

RIP to:

- law students
- undergrads
- grad students
- High school biology/Calculus/Economics/Physics/Statistics/Govt

- Sommeliers
- Leetcoders
Read 17 tweets
Mar 12
Big Data may be dead, but looking at data is still stupendously underrated even in 2023.

Small collection of examples where looking at ✨analytics✨ changed the trajectory of a whole business:
First (and most famous, but gotta acknowledge the greats), @kevin pivoted his Foursquare mobile check-in competitor after hiring @mikeyk to look at analytics.

Mike saw that out of all the features they shipped, only one got off the charts usage.

and @Instagram was born
@kevin @mikeyk @instagram Looking at analytics isn't always as grand as making one of the most successful mobile apps of all time.

I loved this smaller story of how @theknot did a "starburst analysis" in @ModeAnalytics to find out that a easter egg was a huge retention cheat code

Read 5 tweets
Jan 3
ChatGPT’s current killer app isn’t search, therapy, doing math, controlling browsers, emulating a virtual machine, or any of that other cherrypicked examples that come with huge disclaimers.

It’s a lot more quotidian:

Reformatting information from any format X to any format Y.
“ChatGPT reformatting” requires minimal world knowledge, are instantly verifiable, and can reliably save minutes of work multiple times a day.

The reformat can include contextual inference, which saves even more time at the cost of a bit more risk:

More things count as formats than you are used to.

The conversational nature of ChatGPT allows you to feed in more info, blending human and machine to work together better than either could alone.

Here we see a reformat of Initial request + Error stack trace => Working Code
Read 6 tweets
Nov 25, 2022
🆕 Why "Prompt Engineering" and "Generative AI" are overhyped

lspace.swyx.io/p/why-prompt-e…

- Quick recap of @StableDiffusion 2.0 puts & takes
- Why “Prompt Engineering” is a Product Smell
- Why “Generative AI” is underselling the potential
@StableDiffusion #StableDiffusion2 is all the hotness right now, but there'll be new versions every few months.

I wanted to zoom out and talk about the open secret that all AI insiders seem to know: Prompt engineering is just a kludge.

Quotes from @gwern, @sama, @GaryMarcus, @josephofiowa: Image
@StableDiffusion @gwern @sama @GaryMarcus @josephofiowa Completely eliminating prompts may not be possible: that is basically solving alignment, and that is AGI-hard ()

But we could take a page from @ryanjsalva's Copilot and @nbashaw's Lex.page, and *make the IDE/UI the prompt*: Image
Read 7 tweets
Nov 20, 2022
Convinced that all devs should work on a database as part of training.

Ever joked about DataStructures & Algorithms only being useful at interviews?

Work on a DB

Ever wondered why {{ FAVE_APP }} is slow?

Probably a DB

Prefer compilers?

allow me to introduce query planners..
Perhaps my real hot take is that databases are the CS grads abstracting away all the Hard Problems so that us bootcamp grads can cosplay being "full stack" with literally 1 day of SQL experience before getting hired to make 6 figures making rectangles on server vs on client
i'm basically Erik on a 15 year time delay

I'm starting to suspect there's only two fundamental value props in verticalized tech: offering a better data schema for the problem, and building a better data store for the schema.

do both and you win
Read 7 tweets

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