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- Hacker News
- I'm very interested in their anonymization and classification processes. Traditionally, conversational writing is too complex to anonymize automatically without false negatives, and remaining PII might be very personal in nature.
> Observation Clustering and Taxonomy Organisation (OCTO), a tool for transforming massive unstructured text data, like LLM conversations, and distilling them into organized entities.
This also sounds interesting. Hand crafted ontologies that I've seen used were always too hard to maintain and make useful, but potentially they have something automated?
by Tarq0n - I would like to understand how the cost of AI power & infrastructure, more than the global annual gross revenue software sales, will be recouped while simultaneously delivering on the promise of putting technical services in the hands of anyone, which will naturally put downward pressure on the prices.by LastTrain
- In other words - "We don't like the reporting around how bad the economics of AI are, so we're cherry picking our own data, presenting it out of context, and asking you to look at it through rose tinted spectacles."by tomelders
- My startup is using AI every day.
My company (not my startup, my normal day to day work) spends millions on ai token every month.
I use AI every day for different things.
AI/GenAI disrupted already a lot of peoples jobs in real life.
And Google states very early "However within jobs, people are using AI selectively: in a typical job AI is used for only ~21% of tasks."
Did you read the article? Can you point out specific things you really don't like and think they are cherry picking?
by Xalutiono - To an extent, but their main points match my own perspective:
-AI use at work is broad but shallow: -At work, most AI use is focused on collaboration and assistance with tasks, and so far task automation is uncommon:
Both of the above happen for a reason and if you work at any bigger corp ( esp publicly owned ), it is easy to understand why.
edit:
What I did find more amusing though was the coded cry for help ' To get there, we as a society must work together".
- I quite like that. Companies like Google, Microsoft, and Apple are simply not in a position to compete. They are always late to the party, and it is shameful. It shows that their managers are not capable of leading innovation. These companies need to go back to having real engineers drive innovation.by meerita
- It's not a report about the economics of AI. It's a report on how people are using Google's AI. They don't mention anything about the supply side.by spuz
- I share the cynicism here about this article. I think the saddest part of betting our economy on AI is that Google is actually the US-based corporation that is best positioned because so much of their AI efforts are not specifically aimed at software development. At least for now their profit margins are high enough to withstand the high AI costs, but let's wait and see if that lasts.
- Never ask a barber if you need a haircut.by tchalla
- These AI threads seem to attract the same kind of repetitive, low-effort dismissals that crypto threads used to.by olalonde
- Crypto, block chain, LLMs. All wealth concentrator scams with low to no economic feasibility. What do you expect? Everyone to delude themselves?by cryo32
- And they will be proven wrong, like with crypto... oh wait.by meindnoch
- Crypto didn’t deserve much effort.by LastTrain
- I don't disagree but one difference I see is Enterprises pushing hard to use AI where none of them really bothered with Crypto. I see momentum with AI that I haven't seen since the push to Cloud infrastructure 15 or so years ago.by datakan
- Low-effort dismissals that crypto threads turned out to be correct. Is that what you meant to imply?by watwut
- Crypto failed and pivoted. One still cannot pay bills, taxes, buy medicine, transportation, etc. directly with crypto. It is fair to assume the same story will happen to AI.by 1970-01-01
- The full 100 page report: https://ai.google/static/documents/GoogleATLASv1.pdfby neom
- "Less than 10% of those interactions fully automate tasks." - that's because they are measuring use of Google's models. People are using Antrophic's models for automation and coding. My wife is from a tribe in the mountains where they live like they live off the land, cooking with fire like they did 1000 years ago. She uses Gemini to learn how to live in the city - book flights and hotels, stuff like that. I use Claude Code every day to automate my tasks. Google has a very different type of user than Antrophic and Open AI.by tonyoconnell
- Automation is also a squishy term I’ve been playing around with Hermes agent the last few weeks, and I found it very difficult to find useful things that you can do by itself. And even at work, most of my AI usage is rather interactive other than research task that I can send fire and forget.by therealdrag0
- The study uses Gemini data to draw conclusions about AI usage for economically useful work. Hopefully it is obvious that this is a fatally flawed approach due to inherent bias in limiting your data collection to one model which is uneven in its capabilities (as all models are) and therefore biased in what work people use it for. I might as well write a paper about the economic uses of power tools by analyzing how drill presses are used.by sulam
- Understanding the AI Economy, brought to you by Google, one of the companies with the largest vested interests in the AI economy.by OuterVale
- And yet, it seems like Google doesn't understand the AI Economy :)
But it doesn't prevent them from pretending they do Y)
by miroljub - For example, automotive technicians and industrial mechanics use AI to interpret complex test results, debug electrical wiring, and inspect machinery for wear.
No chance I'd trust Gemini to correctly tell me which wire was the high voltage one.
You're absolutely right! I apologize for providing a factually incorrect explanation. You asked a question, and I gave you incorrect information that put you in danger. That failure is entirely on my side as an AI system, not on you for following what you were told.
by cube00 - I wouldn’t replace best practices for safety like lock-out tag-out and hazard labeling with an LLM but you do youby engineer_22
- That's not how AI or any kind of assistance is to be used. It's there to double-check and alert you to any possible mistakes you've made. You still have to use your own judgement. Have you never asked a person to take a look at some of your work? Did that mean that you have to follow and obey all of their advice?by carlosjobim
- I suspect they’re also lying about the utility there as well.
There is already deterministic procedural stuff for all of those cases. Putting a chat bot in front of that is basically fucking stupid.
by cryo32 - There's a bunch of great techs on youtube whose day job is to not to get electrocuted.
So far I've learned 480V is very unforgiving and can show up in surprising places.
by ourmandave - A guy I work at had a check engine light on his Range Rover and a code that indicated something about a bad air/fuel mixture. He consulted ChatGPT and over the next 3 months, proceeded to spend over $15,000 trying to fix the car, as GPT convinced him over and over that he was getting close by eliminating logical possibilities. It even convinced him that a completely normal noise the engine was making was a vacuum leak, which sent him down another rabbit hole trying to find the source. In many cases, he would bring the ChatGPT diagnosis to a shop and tell them to change a particular part even against their advice. None worked. Finally, he gave up on using AI to fix it and told a shop to just figure it out. Turns out the injectors just needed to be removed and cleaned. Check engine light is now off.by IAmGraydon
- > No chance I'd trust Gemini to correctly tell me which wire was the high voltage one.
No latter than yesterday I used Gemini to tell me which kind of power adapter was compatible with an old SNES chinese backuping device [1] (a device you'd plug instead of a cartdridge into the SNES and then you could make backups of cartdridges on to 3.5 floppy disks. You could then run the games from those backups. Conveniently you could also "backup" your friends' cartdridges.. Heck, there was even a tiny demo scene for the SNES and you could swap disks with little demos written for the SNES -- just like for the Amiga).
It was a bit tricky in that Gemini explained me I needed a reverse polarity adapter or I risked bricking everything.
Now, granted, the stakes weren't very high but... Gemini got it right and I could start the SNES, with the chinese "Super Pro Fighter" backuping device just fine.
[1] this thing: https://videogamedevelopmentdevices.fandom.com/wiki/Super_Pr...
- There's no chance I would trust a human to correctly tell me which wire was the high-voltage one, nor would I trust the documentation. I would use it as a starting point, then apply test instruments to make sure I had the right information. Then I would unplug the device and discharge the caps before starting to work on it.
We need to start training people that AI answers are just as fallible as answers you get from a human. Trust but verify for all beings, biological and non-biological.
by rickydroll