Speculation can be enjoyable, but given the rapid pace of AI advancements, where today's capabilities may be obsolete within a year, it's wise to approach any claims with a healthy dose of skepticism.
Are any products using LLMs on the horizon, except for code completion?
I have been a power user, hoping my workflows would improve. About every workflow got slower with statistical AI, and I am back to using logical AI like wolframalpha and bayesians.
There are entire categories of saas and enterprise vendors that are about to be completely blown away.
For example -- not long ago, when you wanted to do l10n/i18n for your business, you'd have to go through a pretty painful process of integrating with eg translations.com. If you're running an ecommerce site with a lot of new products (and product descriptions) coming online quickly, that whole process would be painful and expensive.
Fast forward to today -- a well-crafted prompt to Llama3.1 within a product pipeline makes that vendor completely obsolete. Now, you could argue that this kind of automation isn't new, you could have done it with an api call to Google translate or something similar, and sure, that's possible, but now you have one single interface into a very broad, capable brain to carry out any number of tasks.
If I was a vendor whose business was at all centered around language or data ETL or anything that involves taking text and doing something with it, I would be absolutely terrified at someone writing a 20-line python script with a good system prompt that would make my entire business's reason for being evaporate.
AI has absolutely revolutionized spam and spam detection. Spammers can now generate absolutely unheard of amounts of complete bullshit. And on the other side, spam detection services and algorithms are getting better and better at detecting it, sorting it, and filtering it based on user preferences. Tons of people are enjoying openly AI generated content; and the content that isn't enjoyed by people is instead enjoyed by other AI bots, driving up the engagement rates. That behavior too though is being monitored by other AI, which then prompts spammers to improve their AI so they can avoid that AI and get their stuff seen by engagement AI.
So we have server farms full of computers that are making complete shit that is then thoroughly enjoyed by other server farms full of computers to drive up engagement numbers while still other server farms full of computers are working to detect the fraud and remove it.
Meanwhile, in the real world, we're still hurtling towards climate collapse. But that's okay, we're finally looking into building nuclear reactors again. To power more data centers.
a3w|1 year ago
mark242|1 year ago
For example -- not long ago, when you wanted to do l10n/i18n for your business, you'd have to go through a pretty painful process of integrating with eg translations.com. If you're running an ecommerce site with a lot of new products (and product descriptions) coming online quickly, that whole process would be painful and expensive.
Fast forward to today -- a well-crafted prompt to Llama3.1 within a product pipeline makes that vendor completely obsolete. Now, you could argue that this kind of automation isn't new, you could have done it with an api call to Google translate or something similar, and sure, that's possible, but now you have one single interface into a very broad, capable brain to carry out any number of tasks.
If I was a vendor whose business was at all centered around language or data ETL or anything that involves taking text and doing something with it, I would be absolutely terrified at someone writing a 20-line python script with a good system prompt that would make my entire business's reason for being evaporate.
kevinmershon|1 year ago
ToucanLoucan|1 year ago
AI has absolutely revolutionized spam and spam detection. Spammers can now generate absolutely unheard of amounts of complete bullshit. And on the other side, spam detection services and algorithms are getting better and better at detecting it, sorting it, and filtering it based on user preferences. Tons of people are enjoying openly AI generated content; and the content that isn't enjoyed by people is instead enjoyed by other AI bots, driving up the engagement rates. That behavior too though is being monitored by other AI, which then prompts spammers to improve their AI so they can avoid that AI and get their stuff seen by engagement AI.
So we have server farms full of computers that are making complete shit that is then thoroughly enjoyed by other server farms full of computers to drive up engagement numbers while still other server farms full of computers are working to detect the fraud and remove it.
Meanwhile, in the real world, we're still hurtling towards climate collapse. But that's okay, we're finally looking into building nuclear reactors again. To power more data centers.
The future is fucking stupid.