“THE AI MANIFESTO: TOTAL PURGE”

Call me when they complete the human trials

Step 1. Helpful person starts committing useful PRs and offers to help out until they get commit rights. I don’t think this is hard to achieve generally.

Step 2. Organised campaign of grumpy users complaining about how poorly the software is being maintained along with a bunch of pile-ons.

Step 3. Benign committer decides it’s all too much and quits. The general feeling that open source committers are undervalued makes this more likely.

Step 4. Supply chain attack by new evil committer.

The private companies aren’t paying for the damage they are causing. It’s ultimately borne by the public.

Very similar to a factory that poisons a river if there’s no disincentive not to.

Better would be if we could factor in the cost to the environment into their revenue. This would better align incentives.

https://en.m.wikipedia.org/wiki/Trojan_Room_coffee_pot

My experience in tech has been that to hire a good employee is expensive. Consuming time from recruiters, HR and hiring managers.

Companies that I’ve worked at that don’t currently require people often lay off the recruiters and HR folk as they scale down hiring.

Here are mine:

* Apple rumoured to be working on sunglasses similar to Meta Ray-bans

* Regulation is passed specifically to limit what artificial partners can do. Possible limitations: alignment required, limits in ERP, limits on session time. Best bet is China.

* Stronger regulation is passed to limit unauthorised cloning of people’s voices in one of the major economies. This beyond current weak IP and privacy laws.

* AI becomes a scapegoat in several major elections.

What I got right last year:

- text and image generating AI is hugely disruptive to education and content generation

This was pretty obvious

- Inflation eases, stock market recovers

Less obvious at the time but still likely

- A Twitter alternative breaks through.

Who woulda thunk that it would be Meta with Threads

- One of the big tech companies joins the fediverse (Microsoft most likely)

Once again, Meta for the win with Threads joining the fediverse

Now, nobody look back at all the predictions I made that didn’t happen.

Also, fairly gutted that Reddit hobbling its API was my 2022 prediction. I’m clearly prognosticating too far into the future.

* Regulation is passed specifically to limit what artificial partners can do. Possible limitations: alignment required, limits in ERP, limits on session time. Best bet is China.

* Stronger regulation is passed to limit unauthorised cloning of people’s voices in one of the major economies. This beyond current weak IP and privacy laws.

* AI becomes a scapegoat in several major elections.

What I got right last year:

- text and image generating AI is hugely disruptive to education and content generation

This was pretty obvious

- Inflation eases, stock market recovers

Less obvious at the time but still likely

- A Twitter alternative breaks through.

Who woulda thunk that it would be Meta with Threads

- One of the big tech companies joins the fediverse (Microsoft most likely)

Once again, Meta for the win with Threads joining the fediverse

Now, nobody look back at all the predictions I made that didn’t happen.

Also, fairly gutted that Reddit hobbling its API was my 2022 prediction. I’m clearly prognosticating too far into the future.

Comments URL: https://news.ycombinator.com/item?id=38678488

Points: 1

# Comments: 1

There are some interesting challenges:

- deserialising them into the same environment

- hooking in dependencies

- for time independence, how do you fix a bug on a process that has been running for 2 weeks and has got 2 more to go

Azure stateful functions solved this by instead of serialising the stack, they just start the process from scratch and then replay every external request / response back into them until they get the process back to its last instruction.

Somewhat related: I’ve been intrigued by serialisable continuations forever. The idea of machine and time independent control flow in a regular programming language could be quite useful eg:

    response = send_email_and_wait_for_response(“hi!”, timeout=“4d”)

https://github.com/Torantulino/Auto-GPT

I’m not sure it ends well.