Development in and Around Syracuse Discussion

[HtownOrange]

Such a small % of current AI tech is worthwhile. Most of it has truly useless slop and a way for greedy owners to fire workers.

Don't worry, the greedy owners will lose big when they either hire back those they let go or worse, hire in new "old guys" who know what they are doing but have to learn the corporate stuff. Wise management will ease into AI.

My boss was really big on AI until we started using it and it's not as advertised. It is good at some tasks, but not the major tasks and not until you build a data base which can mostly be trusted. It will be a long time before AI "carries its own weight" at least for us.

 

[Cusefan69]

The economics are way out of whack as well. A lot of tools are being subsidized by heavy investments. They’re trying to get people hooked and then will drastically increase costs. The true operating costs for some of these advanced AI coding tools are astronomical. It’s easy to claim they’re great at 200/month. When they start charging 80k a year, watch out. I personally don’t see with energy and compute costs the break even reaching rational levels any time soon.

The economics are way out of wack already. To make it worse there's no regulation or consumer protections. Like nothing. Businesses are taking a "ready, fire, aim" approach. It's honestly crazy.

 

[Oakland]

The economics are way out of wack already. To make it worse there's no regulation or consumer protections. Like nothing. Businesses are taking a "ready, fire, aim" approach. It's honestly crazy.

Nor protection for content creators, which AI has massively stolen from.

 

[bnoro]

The economics are way out of whack as well. A lot of tools are being subsidized by heavy investments. They’re trying to get people hooked and then will drastically increase costs. The true operating costs for some of these advanced AI coding tools are astronomical. It’s easy to claim they’re great at 200/month. When they start charging 80k a year, watch out. I personally don’t see with energy and compute costs the break even reaching rational levels any time soon.

Copilot, ChatGPT, Gemini are out of whack economically. But the Palantirs of the world are not way out of whack when they're going towards the police/surveillance state you're starting to see more of every day.

 

[JoeCollege]

Sounds like the Microsquash* (Microsoft) method. Make something new, have all the users tell you the problems so you can fix them, then charge for revisions fixing the old problems, then have the users tell you the new problems so you can fix them, then charge for revisions fixing old problems, then ...


* Shamelessly borrowed from Bloom County.

ACK!!! Millions of bonus points awarded for working in, and citing, a reference from Bloom County.

 

[Capt. Tuttle]

There is a serious fear that AI is just regurgitating bad information in an endless cycle

In my limited experience it’s how you set expectations, and must understand that it has to be reviewed and sometimes rebuked

 

[TexanMark]

In my limited experience it’s how you set expectations, and must understand that it has to be reviewed and sometimes rebuked

The other issue with Ai is political manipulation...if they take certain sources as their truth source and they are narrative driven, it just amplifies chaos.

 

[donniesyracuse]

...if they take certain sources as their truth source and they are narrative driven, it just amplifies chaos.

Imagine if people were like that

 

[TexanMark]

Imagine if people were like that

Yup, on both sides...

 

[Capt. Tuttle]

The other issue with Ai is political manipulation...if they take certain sources as their truth source and they are narrative driven, it just amplifies chaos.

Yes, much like Google. You can tell it to eliminate sources, if you choose. You should also tell it to ask 3 questions you should have asked. I just used it extensively to sift through about 25 resumes, with DISC profiles, using it with the job description, my 1,5 and 10 year goals, and my individual Kolbe, DISC and Print profiles, to match my strengths and weaknesses with the candidates.
Hit on someone who appears to be a perfect fit. Then she was vetted with 3 personal interviews, which reached unanimous consent. She starts on 2/9.
It ran the information in seconds, and gave comprehensive evaluations. I then asked questions and sought clarifications to settle some questions that were raised.
It was invaluable, and probably saved me 50 hours

 

[bnoro]

Yes, much like Google. You can tell it to eliminate sources, if you choose. You should also tell it to ask 3 questions you should have asked. I just used it extensively to sift through about 25 resumes, with DISC profiles, using it with the job description, my 1,5 and 10 year goals, and my individual Kolbe, DISC and Print profiles, to match my strengths and weaknesses with the candidates.
Hit on someone who appears to be a perfect fit. Then she was vetted with 3 personal interviews, which reached unanimous consent. She starts on 2/9.
It ran the information in seconds, and gave comprehensive evaluations. I then asked questions and sought clarifications to settle some questions that were raised.
It was invaluable, and probably saved me 50 hours

So you could have potentially eliminated better candidates based on a one to two page resume and what AI determined was correct? And knowing the biases built in?

"Gave comprehensive evaluations" give me a break. This is the exact type of stuff that makes me sick with the state of the world.

 

[Cusefan0307]

There will be a massive crisis caused by AI in the next 5 years guaranteed. My team of Data Scientists have discovered massive issues with its use in my company and the execs are clueless about it. They’ve been sold a bill of goods and have drank the cool aid and would rather blame people for the errors it’s caused.

 

[cusefan88]

There will be a massive crisis caused by AI in the next 5 years guaranteed. My team of Data Scientists have discovered massive issues with its use in my company and the execs are clueless about it. They’ve been sold a bill of goods and have drank the cool aid and would rather blame people for the errors it’s caused.

There was a study done that says basically C-Suite people use AI more than rank and file employees because...it's really not that helpful.

 

[Cusefan0307]

There was a study done that says basically C-Suite people use AI more than rank and file employees because...it's really not that helpful.

I believe it. I sat in a meeting with execs this week asking them how we were going to fix the hundreds of thousands of exceptions we have and my 2 above could only answer that we were going to document processes. That’s great going forward, but your massive investment in this garbage the past two years has failed and we don’t have the people to clean it up.

 

[cusefan88]

I believe it. I sat in a meeting with execs this week asking them how we were going to fix the hundreds of thousands of exceptions we have and my 2 above could only answer that we were going to document processes. That’s great going forward, but your massive investment in this garbage the past two years has failed and we don’t have the people to clean it up.

Frequent Use of AI in the Workplace Continued to Rise in Q4

Frequent use of AI in the workplace has continued to rise, while overall use has remained level. Use varies widely by industry, role type and job level.

www.gallup.com

Leaders, in particular, report substantially higher and more frequent AI use than other employees, and that separation has grown over time. Gallup research shows that lack of utility is the most common barrier to individual AI use, suggesting that clear AI use cases may be more apparent for leaders than employees in other roles. For organizations integrating AI technology, this underscores the importance of grounding decisions about AI adoption in a clear understanding of how AI may be applied to different roles and functions, not just among those closest to decision-making.

 

[Cusefan0307]

Frequent Use of AI in the Workplace Continued to Rise in Q4

Frequent use of AI in the workplace has continued to rise, while overall use has remained level. Use varies widely by industry, role type and job level.

www.gallup.com

Leaders, in particular, report substantially higher and more frequent AI use than other employees, and that separation has grown over time. Gallup research shows that lack of utility is the most common barrier to individual AI use, suggesting that clear AI use cases may be more apparent for leaders than employees in other roles. For organizations integrating AI technology, this underscores the importance of grounding decisions about AI adoption in a clear understanding of how AI may be applied to different roles and functions, not just among those closest to decision-making.

The common response I get is "it's going to fix everything". I am talking to MIT grads who think they are smarter than everyone who fail to understand bad data in bad data out. It's making people dumber.

 

[Capt. Tuttle]

So you could have potentially eliminated better candidates based on a one to two page resume and what AI determined was correct? And knowing the biases built in?

"Gave comprehensive evaluations" give me a break. This is the exact type of stuff that makes me sick with the state of the world.

no. Not at all. Very specific job description. Plus, DISC. It also used my personal assessments (my personal strengths and weaknesses) to find others whose strengths and weaknesses compliment mine. It did in 5 minutes what would take my hours.
It is an amazing tool. It also carries in no biases that one might bring to reviewing resumes. Keeps you away from shiny things.
I set it up to filter it as if it were an experienced HR person seeking to hire an operations manager for a company that had my specific short and long term objectives. It’s a great tool.

 

[Capt. Tuttle]

Frequent Use of AI in the Workplace Continued to Rise in Q4

Frequent use of AI in the workplace has continued to rise, while overall use has remained level. Use varies widely by industry, role type and job level.

www.gallup.com

Leaders, in particular, report substantially higher and more frequent AI use than other employees, and that separation has grown over time. Gallup research shows that lack of utility is the most common barrier to individual AI use, suggesting that clear AI use cases may be more apparent for leaders than employees in other roles. For organizations integrating AI technology, this underscores the importance of grounding decisions about AI adoption in a clear understanding of how AI may be applied to different roles and functions, not just among those closest to decision-making.

It’s a great sounding board for ideas, especially if you set it up to critique what you are doing, and not be a yes-man.

 

[longtimefan]

no. Not at all. Very specific job description. Plus, DISC. It also used my personal assessments (my personal strengths and weaknesses) to find others whose strengths and weaknesses compliment mine. It did in 5 minutes what would take my hours.
It is an amazing tool. It also carries in no biases that one might bring to reviewing resumes. Keeps you away from shiny things.
I set it up to filter it as if it were an experienced HR person seeking to hire an operations manager for a company that had my specific short and long term objectives. It’s a great tool.

And a jackhammer is a great tool. And dynamite is a great tool. Etc.

The point is a tool is only useful if it is utilized properly. And the training in the use of AI will have to meet the challenge.

 

[gmoney44]

"Mehrotra said that Micron is spending $200 billion to build more production capacity in the U.S., including two fabrication plants, or fabs, in Idaho and a 600,000-foot facility in Clay, New York, where the company broke ground on Friday. Mehrotra said it will take a few years to build out the facilities, including clean rooms and production equipment."

BTW, Micron's stock price is up about a qazillion dollars lately.

I got a bunch of shares when they first announced they were building here just to have rooting interest in a future local company. I know not the greatest investment strategy but it’s worked out nicely along with Nvidia stock I got shortly after Covid.

 

[bnoro]

no. Not at all. Very specific job description. Plus, DISC. It also used my personal assessments (my personal strengths and weaknesses) to find others whose strengths and weaknesses compliment mine. It did in 5 minutes what would take my hours.
It is an amazing tool. It also carries in no biases that one might bring to reviewing resumes. Keeps you away from shiny things.
I set it up to filter it as if it were an experienced HR person seeking to hire an operations manager for a company that had my specific short and long term objectives. It’s a great tool.

What I'm saying is how do you determine any of that based on just a resume and DiSC?

The AI could have easily eliminated someone that may have been a better fit for your position. There may have been someone who filled all your needs and overlapped with a few of your strengths that you may have eliminated not doing a traditional process.

I think it's such a myopic thing to just assume that AI gave you the perfect candidate.

And it's also been shown that biases exist based on programming, you cannot say there were no biases.

 

[Cusefan69]

The common response I get is "it's going to fix everything". I am talking to MIT grads who think they are smarter than everyone who fail to understand bad data in bad data out. It's making people dumber.

Not only that but departments are buying or upgrading existing platforms without understanding current business requirements and future state business requirements. Then suppliers demo their ai tool(s) and the department business requirements suddenly map exactly to the demo solution. Also they don't ever ask about the data accuracy of the ai tool. I was at a company looking at a new CLM solution (Contract Lifecycle Management). When meeting with the suppliers amongst the questions, I asked what is the data accuracy. Two said over 95% (which was completely BS and spoke with their references and was closer to 65% to 75%) and the 3rd supplier would not go on record. For the two who said over 95%, I asked if they commit that in writing in the contract and both said they don't and couldn't(Because attorneys for those companies know damn well that the company could never back that up and so won't allow in the contract). Ai is a joke right now but CEOs are pushing down everyone's throats because they don't want to be the ones who are viewed as potentially missing the boat so to speak. Oh and those CEOs are letting departments spend a ton more budget wise to "go ai"). Then CEOs are trying to get departments to measure "efficiency savings " to justify head count reductions.

 

[Cheriehoop]

https://fortune.com/article/ceo-laid-off-80-percent-workforce-sabotage-what-are-ai-skills/

 

[TexanMark]

I got a bunch of shares when they first announced they were building here just to have rooting interest in a future local company. I know not the greatest investment strategy but it’s worked out nicely along with Nvidia stock I got shortly after Covid.

You and me both...I did some quick research and determined Micron was oversold a bit on announcement day. However, it was more because I wanted to buy into a company that believes in CNY. I bought some shares announcement day (10/4/22) and another lot when it dipped late in '22 when folks were selling to generate tax losses. Definitely a homerun so far...makes up for a few of my bone head stock picks.