With Google in its sights, OpenAI unveils SearchGPT

[Grim Reaper 6]

OpenAI may have designs to get into the search game — challenging not only upstarts like Perplexity, but Google and Bing, too..

UI-wise, SearchGPT isn’t too far off from OpenAI’s chatbot platform ChatGPT. You type in a query, and SearchGPT serves up information and photos from the web along with links to relevant sources, at which point you can ask follow-up questions or explore additional, related searches in a sidebar..

Getting answers on the web can take a lot of effort, often requiring multiple attempts to get relevant results,” OpenAI writes in a blog post. “We believe that by enhancing the conversational capabilities of our models with real-time information from the web, finding what you’re looking for can be faster and easier.”.

https://techcrunch.com/2024/07/25/with-google-in-its-sights-openai-unveils-searchgpt/

 

[ChrLzs]

It's all going to end in tears.  (Don't get put off by the Trump pic - it's Stephen Fry narrating)

 

 

[Grim Reaper 6]

51 minutes ago, ChrLzs said:

It's all going to end in tears.  (Don't get put off by the Trump pic - it's Stephen Fry narrating)

 

 

Thank you very much that was very informative and interesting, I learned something new today and that’s always great.

Thanks again

[Opus Magnus]

On 7/28/2024 at 10:23 PM, ChrLzs said:

It's all going to end in tears.  (Don't get put off by the Trump pic - it's Stephen Fry narrating)

 

 

The thought that Artificial Intelligence or computers will help humanity end hunger, poverty and lack of production is contradictory to Solow's Paradox.  Robert Solow described the paradox in 1987 to try and explain why the increase in Information Technology did not have a relative increase in productivity (Denning, 2021).  Solow's Paradox has been debated since and reasons theorized as to why this happens.  Increases in IT only increase production in a few industries: Manufacturing, innovative communication and the military.  By adapting IT into these industries a spillover is created which pushes many high skilled workers into lower industries in which IT increases do not increase production.  This has a negative macroeconomic effect on the whole economy (Capello et al., 2022).

AI also takes an immense amount of resources to run.  Google increased carbon emissions by 50% in 2023 (Bartlett, 2024).  Microsoft increased water usage by 34%, Google by 22% and Meta by 3% in 2022 in order to train Generative AI models (Criddle & Bryan, 2024).  During the 2 weeks Microsoft trained Chat GPT-3 it used 700,000 liters of water and ChatGPT uses 17 ounces of water for every 20-50 questions it is asked (Danelski, 2023).  Microsoft boasts that it uses the best technology to preserve water but this is limited to AI in the first world, and AI data centers elsewhere in the world will use up a lot more resources.

Increases in AI are not free.  The perception that computers are increasing human production is an illusion, because this is not what computers are used for.  A similar paradox was seen during the birth of the Industrial Revolution in the late 1700s.  It appeared that the increase in manufacturing would make life better, but it also achieved destroying farms, skill, giving the wealth to a few business owners, straining infrastructure, and draining the meaning out of life. So, this is the way things are headed it is important not to fall underneath the beast of AI.

Barlett, K. (2024, July, 2). Google’s carbon emissions surge nearly 50% due to AI energy demand. CNBC. https://www.cnbc.com/2024/07/02/googles-carbon-emissions-surge-nearly-50percent-due-to-ai-energy-demand.html

Capello, R., Lenzi, C., & Perucca, G. (2022, December). The modern Solow paradox. In search for explanations. Structural Change and Economic Dynamics, 63(), 166-189. https://doi.org/10.1016/j.strueco.2022.09.013

Criddle, C. & Bryan, K. (2024, February, 24). AI boom sparks concern over Big Tech’s water consumption. Financial Times. https://www.ft.com/content/6544119e-a511-4cfa-9243-13b8cf855c13

Danelski, D. (2023, April, 28). AI programs consume large volumes of scarce water. University of California, Riverside. https://news.ucr.edu/articles/2023/04/28/ai-programs-consume-large-volumes-scarce-water

Denning, S. (2021, August, 3). Why computers didn't improve productivity. Forbes. https://www.forbes.com/sites/stevedenning/2021/08/01/why-computers-didnt-improve-productivity/

 

Edited August 2 by Opus Magnus

[Opus Magnus]

Another issue with Generative AI is that it has been trained in immoral ways.  The New York Times and 8 other news agencies have sued OpenAI and Microsoft for stealing millions of copyrighted articles to feed ChatGPT and Copilot.  Some other news agencies are making deals with Microsoft to let them train their Generative AI on their news articles like the Financial Times and the Associated Press.  Microsoft says, "No harm. No foul." and wants the lawsuit dismissed.  The New York Times says that when Microsoft steals its copyrighted news articles it is not only feeding its own software but also spitting out stories that detract business from The Times. ChatGPT was caught red handed releasing full text articles that were meant for subscribers behind paywalls and these news companies want a jury trial (Robertson, 2024).

Robertson, K. (2024, April, 30). 8 daily newspapers sue OpenAI and Microsoft over A.I. The New York Times. https://www.nytimes.com/2024/04/30/business/media/newspapers-sued-microsoft-openai.html?unlocked_article_code=1.Ak4.pbuT.Tp0SLp4bXxVN&smid=url-share

Edited August 5 by Opus Magnus