51–60 of 144 posts
Its depressing when people are hearing managers are openly asking all employees to pitch in ideals for AI in order to reduce employee headcount. For those hearing this at work, better prepare an exit plan.
I wonder if web searches used to be pretty productive, then declined as sponsored results and SEO degraded things. Nowadays an ai assist with a web search usually eliminates the search altogether and gives you a clear answer right away. for example, "how much does a ford f-150 cost" will give you something ballpark in a second, compared to annoying "research" to find the answer shrouded in corporate obfuscation.
Now AI will give me a confident answer that is outright wrong 20% of the time or kind of right but not really 30% of the time. So now I ask something using an AI chatbot and carefully word it so as to have it not get off topic and focus on what I actually want to know, wait 30 seconds for its long ass answer to finish, skim it for the relevant parts, then google the answer and try to see where the AI sourced its answer from and determine whether it misinterpreted/mixed up results or it's accurate. What used to be a 10 second google search is now a 2-3 minute exercise.
I can see very much how people say AI has somehow led to productivity losses. It's shit like this, and it floods the internet and makes real info harder to find, making this cycle worse and worse and take more and more time for basic stuff.
I wonder if web searches used to be pretty productive, then declined as sponsored results and SEO degraded things. Nowadays an ai assist with a web search usually eliminates the search altogether and gives you a clear answer right away. for example, "how much does a ford f-150 cost" will give you something ballpark in a second, compared to annoying "research" to find the answer shrouded in corporate obfuscation.
The result started with 3 "sponsored links" which threw her down the rabbit hole.
This used to be easy.
FWIW, these studies are too early. Large orgs have very sensitive data privacy considerations and they're only right now going through the evaluation cycles. Case in point, this past week, I learned Deloitte only recently gave the approval in picking Gemini as their AI platform. Rollout hasn't even begun yet which you can imagine is going to take a while. To say "AI is failing to deliver" because only 4% efficiency i…
> The EU trails the US not only in the absolute number of AI-related patents but also in AI specialisation – the share of AI patents relative to total patents. E.U. patent law takes a very different attitude towards software patents than the U.S. Even if that wasn't the case: “Specialisation” means that no innovation unrelated to AI gets mind share, investment, patent applications. And that's somehow a good thing? No…
Earlier quoted context omitted.
When did this happen? I do exact searches on Google almost every day and it seems to honor the quotation marks just fine for me.
At least 2022, if not earlier. https://news.ycombinator.com/item?id=30130535
FWIW, these studies are too early. Large orgs have very sensitive data privacy considerations and they're only right now going through the evaluation cycles. Case in point, this past week, I learned Deloitte only recently gave the approval in picking Gemini as their AI platform. Rollout hasn't even begun yet which you can imagine is going to take a while. To say "AI is failing to deliver" because only 4% efficiency i…
What do you mean? Deloitte has been all in on Microsoft AI offerings for quite some time, people have access to a lot of AI tools through MS.
Its depressing when people are hearing managers are openly asking all employees to pitch in ideals for AI in order to reduce employee headcount. For those hearing this at work, better prepare an exit plan.
FWIW, these studies are too early. Large orgs have very sensitive data privacy considerations and they're only right now going through the evaluation cycles. Case in point, this past week, I learned Deloitte only recently gave the approval in picking Gemini as their AI platform. Rollout hasn't even begun yet which you can imagine is going to take a while. To say "AI is failing to deliver" because only 4% efficiency i…
Its depressing when people are hearing managers are openly asking all employees to pitch in ideals for AI in order to reduce employee headcount. For those hearing this at work, better prepare an exit plan.
Apropos, I once had a boss who said he was running a headcount reduction pilot and anyone who had the time and availability to help him should email him saying how much time they had to spare. I cannot deny this had a satisfying elegance.