by richardfeynman on 2/22/23, 7:58 AM with 110 comments
by nwienert on 2/22/23, 8:53 AM
Immediately lost me as a reader. There’s at least 5 reasonable ways you can frame the various opposing or concerned arguments that are consistent but you chose two critiques on purpose to frame an unrealistic imagined hypocritical opponent that’s a mashup of legit critiques designed to look foolish.
by roenxi on 2/22/23, 9:24 AM
One of the interesting things about AlphaGo back in 2016 was it demonstrated that the algorithms for all this are simple. Once Google demonstrated that an outcome was possible, other superhuman Go playing AI began appearing in a matter of years. ChatGTP is similar - now that the world knows this tech can be built there isn't a regulatory framework big enough to shut it down everywhere. And whoever deploys AI as a tool will have an advantage over those that don't.
"AI safety" would now involve banning general purpose computing. Nothing less can stop the systems that are now in motion, and even that probably wouldn't be enough. The future is here.
by lannisterstark on 2/22/23, 9:07 AM
"Hey can you use this x library with this url to call this API and make an html table" etc and it works wonderfully.
Sure there are errors now and then but usually telling it those gets it to fix it. It has saved a fuckton of my time that I can spend doing something else now. Mostly boilerplate stuff but it works.
by jeswin on 2/22/23, 9:16 AM
This seems eerily like the 80s/90s when chess engines were getting smarter, but most people at that time believed they were incapable of truly novel strategies.
by detrites on 2/22/23, 9:03 AM
The first is impossible.
The second places any dangers out of public oversight, likely increasing them.
We've survived nukes for almost 80 years, we proved we can survive such things. The best response is education.
by transitivebs on 2/22/23, 9:19 AM
as eigenrobot said on twitter:
"there is almost surely nothing anyone can do to change this general course. immense wheels are in motion.
all that's left is to tend your garden and to trust in god. stay strapped."
source: https://twitter.com/eigenrobot/status/1627981829805334528
by atemerev on 2/22/23, 10:00 AM
And, if somehow we create the AI which is genuinely smarter than humans — that’s great! We are all mortal anyway, and not too good at many things. If something smarter and better than humans will inherit the Earth — why not? The particular species is not relevant. Sum of all knowledge and discovering new things is what matters.
Ultra-accelerationism is the only way to fly.
by damiankennedy on 2/22/23, 8:58 AM
by amelius on 2/22/23, 9:02 AM
by pbhjpbhj on 2/22/23, 7:58 PM
Personally, I welcome our new Transformer overlords.
by qewr342356 on 2/22/23, 11:16 AM
Anyway, the technology is out of the Pandora box, it would not matter a lot if chatGPT or chatBING somehow got shutdown, or even if these models don't work on search engines finally. Everybody has seen its potential, so way too many geopolitical actor are now moving to try to get its hands on models like these, the expertise, even the datasets.
by mise_en_place on 2/22/23, 9:18 AM
by spaintech on 2/22/23, 10:33 AM
Were are we commming from, current AI and data analytics platforms had many faults, but their biggest problem was performance. These systems arae often slow and cumbersome, which make it difficult to analyze large data sets in real time. GPT tech overcomes these challenges by leveraging deep learning that allow it for process of large volumes of data quickly and efficiently. Most of the inherent cost comes at the training period.
Currently, at the enterprise level organizations still have many challenges when it comes to data management. For example, many organizations struggle with data silos, where different departments have their own data sets that aren't easily shared or integrated. This can lead to inefficiencies and make it difficult to get a complete view of the business. Not to mention the data confidence issues that arise when you cross correlate some of the data.
However, I feel like GPT can help organizations better understand customer behavior, identify trends, and make more informed business decisions. Tech like GPT can help organizations automate many repetitive tasks and improve data quality as the data treatment would can apply AI based data quality standards. Single source of truth.
One key area of benefits is that GPT tech can enable natural language processing (NLP) tools like sentiment analysis and entity recognition can be used in conjunction with GPT to provide even deeper insights into customer behavior and preferences. Similarly, machine learning tools can be used to help train and optimize GPT models for specific use cases.
In practice, adopting GPT at scale, some technologies will become redundant or obsolete. For example, traditional rule-based systems may no longer be needed if GPT can provide more accurate and nuanced insights. Why run structured databases except to capture transactions? IMO, there are many solutions that are in reality just a data schema play, that is, they create the schema and the BI to capture aand transform the data to make sence of it otherwise, these technologies, again assuming wide adoption of GPT tech are at the birth of obeselence.
by FpUser on 2/22/23, 1:09 PM
[0] - https://www.nytimes.com/2023/02/16/technology/bing-chatbot-t...
by DoctorMckay101 on 2/22/23, 9:45 AM
Anyways... I am using it everyday. Its a great first step to take when you are blocked creatively or dunno where to start looking for things.
And this is chatbot version 1.0, so to speak. Maybe it will improve drastically in little time or maybe it will stagnate for 5-10 years. No matter the case its already very usable.
by snickerbockers on 2/22/23, 9:23 AM
Better solution is to educate the public on what this technology is good at and what it isn't good at so it doesn't end up in places it doesn't belong. Right now it's being advertised as something that it's not and that's how we end up with ridiculous clusterfucks like bing.
People need to learn about what limitations it has before it ends up in situations where its ineptitude can have real consequences.
by tiborsaas on 2/22/23, 11:21 AM
by frankreyes on 2/22/23, 1:56 PM
by jonplackett on 2/22/23, 9:29 AM
by maze-le on 2/22/23, 9:50 AM
by ivolimmen on 2/22/23, 9:42 AM