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What it feels like to work in AI right now

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Re: What it feels like to work in AI right now

#481

From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…

its good for so many things: Need to write a speech as a best man Write a eulogy for a deceased family member Recently used it to speed up the time to fix an oauth problem in code I didnt write, knowing nothing about oauth. Replaces stackexchange with much more tailored answers. can take hundreds of pages of text and distill it down to an executive summary of any length Daughter uses it to explain how to solve algebr…

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Re: What it feels like to work in AI right now

#482

Earlier quoted context omitted.

We call that “companies”. We just need to apply what we learned in business school to a different set of workers, slightly deficient workers.

> We just need to apply what we learned in business school Please don't. You've already ruined enough industries. Let the MBAs do finance and Wall Street and leave them out of the chain of command in organizations that make things.

Take shelter under my protective wings, O, sweet summer children.

Re: What it feels like to work in AI right now

#483
post #405

Earlier quoted context omitted.

That's very cool, and right now it's a good idea, but I strongly suspect GPT only looks clever and does a good job in isolation . If everyone starts using it product announcements will start looking very similar, and they'll lose a lot of their impact. This is definitely the case with cover letters for jib applications. The ones written by GPT appear to be pretty obvious - my guesses could be wrong, but after seeing…

Question for you-given two identical candidates: One who does not submit a cover letter and one who submits a cover letter that was clearly written by chatgpt—which candidate would you rather interview? On one hand the duplicities involved with writing a chatgpt cover letter seem to be concerning in a new hire. On the other hand, it shows resourcefulness and going above the line. I’m tempted to say I’d prefer the gpt…

Right now I'd also have a preference for the GPT candidate because it shows a bit of an interest in new tech. In a year when 50% of candidates subject GPT cover letters I think I'll see it as a sign of laziness or trying to hide poor comms skills. Maybe not though. Time will tell.

Re: What it feels like to work in AI right now

#484

Earlier quoted context omitted.

I mean Google revolutionized search. Apple revolutionized personal computing. OpenAI revolutionized… rewriting things with slightly different wording? I’ve seen so many breathless people posting “this would have taken me so long to search” and then I type 3 keywords from their massive prompt they crafted and find it instantly on Google. We’re talking 1000x or more faster. I feel like the same is happening in your com…

As for googling, here are some examples of queries you can try and see how it works: - summary of all the carbon neutral concrete methods, especially ones that can be done in a small industrial workshop as a prototype - I have allergies in Thailand, mid-february. What may it be related to? - list all the companies from Japanese stock exchange that have high debt rate Those are top of my head, but really anything that…

For all of those, you HAVE to be okay with a complete garbage answer. Are you?

Re: What it feels like to work in AI right now

#485
post #216

Earlier quoted context omitted.

> Taking into account the downsides it looks like a hype bubble right now to me, and a draw in the long run. There’s just a whole lot of tech people trying to cash in on the hype. Techies will realize that they are just giving ideas to O̶p̶e̶n̶AI.com, Microsoft Word, Google Docs and Notion. It is just the same AI bros re-selling their hallucinating snake oil chatbot that are under a new narrative for AI. There is a r…

English speakers tend to miss a huge use case: Translation.

DeepL.com? You dont need a general purpose LLM to do translation.

Re: What it feels like to work in AI right now

#486

From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…

Needed to safely move a bulk carrier on short notice recently:

Q: Describe turning 180 degrees and continuing down stream with the current in a heavily loaded bulk carrier from a stationary position tied to a dock with five knots of downstream current using two 50 ton Ballard pull tractor tugs. Be very detailed and specific in describing the actions required to complete this action safely.

  A: To safely turn a heavily loaded bulk carrier 180 degrees and continue downstream with the current from a stationary position tied to a dock with five knots of downstream current, using two 50-ton bollard pull tractor tugs, you must follow a series of steps. These steps are designed to ensure a smooth and controlled maneuver while minimizing the risk of collision, grounding, or damage to the vessel, dock, and tugs.

  1. Preparation: Prior to beginning the maneuver, ensure that all necessary communication equipment is functional and tested. This includes VHF radios, signal flags, and/or lights. Establish communication protocols and channels with the tugs and any other relevant parties, such as pilots and harbor control. Additionally, check the weather forecast, tidal information, and any local regulations or restrictions that may apply.
 
  2. Positioning of tugs: Position one tug at the bow and the other at the stern of the bulk carrier. The tug at the bow will primarily be responsible for pulling and steering the vessel, while the tug at the stern will act as a brake and assist in maneuvering the vessel as needed. Securely attach the towlines to the designated towing points on the vessel.

  3. Cast off lines: Once the tugs are in position and ready, instruct the crew to release all mooring lines from the dock. As the lines are released, the tugs will need to maintain tension on their towlines to keep the vessel in position and prevent it from drifting downstream with the current.

  4. Initiate the turn: The tug at the bow will start the turning process by pulling the vessel's bow away from the dock and into the current. At the same time, the tug at the stern will push the vessel's stern towards the dock to create a pivoting motion. Both tugs must continuously adjust their power and positioning to maintain control of the vessel as it turns.

  5. Manage the current: During the turn, both tugs must work together to counteract the effects of the five-knot downstream current. The tug at the bow will need to pull harder to overcome the current, while the tug at the stern will need to push and also act as a brake to prevent the vessel from gaining too much speed.

  6. Monitor the turn: Throughout the 180-degree turn, the vessel's crew and tugs must maintain constant communication to ensure a smooth and controlled maneuver. Monitor the vessel's position, speed, and proximity to the dock, other vessels, and any navigational hazards. Adjust the tugs' power and positioning as needed to maintain control and avoid collisions or grounding.

  7. Complete the turn: As the vessel approaches the completion of the 180-degree turn, the tugs will need to adjust their power and positioning to slow down the vessel and align it with the downstream current. The tug at the bow will ease its pulling force, while the tug at the stern will continue pushing until the vessel is properly aligned.

  8. Proceed downstream: Once the vessel is aligned with the current and moving downstream, both tugs will gradually reduce their power to allow the vessel to continue under its own momentum. The tugs will remain close by to provide assistance as needed until the vessel is safely clear of the harbor and any navigational hazards.

  9. Release tugs: When the vessel is at a safe distance from the dock and navigational hazards, and under the control of its own propulsion, the towlines can be released, and the tugs can return to their base.

Re: What it feels like to work in AI right now

#487

From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…

"In fact, no one in my extended sphere of friends and family has asked me anything about chatGPT, midjourney, or any of these other models. The only people I hear about these models from are other tech people."

I have the opposite experience. Everyone I meet outside tech has been exploring ChatGPT, or at least has heard of it and is extremely curious. And in non-tech student circles, a (non STEM) TA I know said students who until a month ago were bad to mediocre (8-12/20 scoring), are suddenly all turning in top 16-18/20 assignments this month. You can argue about what to do given this change, but you can not deny the impact.

Re: What it feels like to work in AI right now

#489
The annoying thing about AI is that it can do stuff but with like 90% accuracy. This means that if you want to do something that takes 10 AI steps, your accuracy is down to 35%.

This is also why Copilot can't really do computer programming.

Re: What it feels like to work in AI right now

#490

At least, people working on ML models that handle these tasks must be feeling terrible. They know their models will be abandoned sooner or later and composed on top an LLM. 1. Classification 2. Named Entity Recognition (NER) 3. Dialog Engine 4. Sentiment Analysis 5. Tone Analysis 6. Language Translation 7. Summarization 8. Tokenization 9. Simple NLP Tasks (part-of-speech tagging, dependency parsing, lemmatization, mo…

Couldn't agree more. I see a lot of parallels to the move to cloud. Yes, some big comps will still have an AI engineering team and build their own models but the vast majority will move to an API. The same way the vast majority used to have a sys admin type who set up and maintained a local server who then moved to the cloud. Of course the SuperStar AI engineers will now find much more interesting work at the big comps, just like there are super interesting challanges building the cloud for everyone.
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