It is going to happen. While we cannot say when or even who is going to pull this off, we do know there will come a time, most likely in the next couple years, we will see a 100x.
In this video I discuss how prompting is going to get very inexpensive. At the same time, we are going to see the number of tokens on each prompt explode. All of this is going to cause massive disruption especially as compared to where we are today.
▶️ 3Speak
Elon and Tesla have gone through quite a lot lately
With the increase in competition, and almost a lot of forum or question websites having their own version of AI chatbots, I do agree that it will be very inexpensive. While image AI were initially expensive, these too should get cheaper even those with high quality results. The text to video ones though, will be interesting. Because of its possibilities, I can see companies trying to monopolize them and restrict access. Needing large processing power can prevent mass availability for a while at least.
Hello taskmaster4450!
It's nice to let you know that your article will take 14th place.
Your post is among 15 Best articles voted 7 days ago by the @hive-lu | King Lucoin Curator by blind-spot
You receive 🎖 0.3 unique LUBEST tokens as a reward. You can support Lu world and your curator, then he and you will receive 10x more of the winning token. There is a buyout offer waiting for him on the stock exchange. All you need to do is reblog Daily Report 292 with your winnings.
Buy Lu on the Hive-Engine exchange | World of Lu created by szejq
STOPor to resume write a wordSTARTSummary:
The host, Taskmaster4450, discusses the impending 100x capabilities of large language models (LLMs) and how this will bring about a significant transformation in various aspects of society. He emphasizes that this change is imminent, though the exact timeline is uncertain. The host highlights key areas that will be impacted, such as prompting becoming nearly obsolete, the exponential increase in the number of tokens within each prompt, and the ability for companies and individuals to leverage their own data to train custom LLMs.
The host also touches on the potential implications, including the rise of billion-dollar companies with a single employee, the integration of LLMs into almost every digital product, and the fierce competition between tech giants like Google and OpenAI in the search engine market. He suggests that the money-making opportunities will likely be in infrastructure, hardware, and applications rather than the LLMs themselves.
The host concludes by emphasizing the rapid pace of progress in this field, with new generations of LLMs being released every few months, and urges the audience to be prepared for the transformative changes that are on the horizon.
Detailed Analysis:
The host begins by highlighting the importance of the topic he is about to discuss, which he believes many people are not adequately preparing for - the 100x capabilities of large language models (LLMs). He explains that if one were to graphically represent a 100x increase in an LLM's capabilities, the resulting image would be astronomical, as the scale would be too large to fit on a page.
The host then delves into the significance of this 100x increase, stating that it will bring about a complete and total change for society, though he cannot speculate on the exact timing or which specific LLM models (e.g., GPT-4.5, GPT-5, Claude 4, Claude 5) will achieve this milestone. He emphasizes that the changes will be rapid and far-reaching, affecting companies, prompting, and the number of tokens within each prompt.
One of the key points the host makes is the impact on prompting, stating that it will go to zero or near-zero. He also discusses the exponential growth in the number of tokens that will be possible, noting that we have already seen significant progress in this area. The host then explores the implications of being able to prompt LLMs trained on our own data, whether as individuals or companies, and how this could lead to the creation of billion-dollar companies with a single employee.
The host then compares the progress made in the 18 months since the release of ChatGPT, noting that GPT-3 was only introduced in November 2022. He suggests that the same proportional progress over the next 18 months could result in a 10x difference, potentially leading to a 100x increase in capabilities. The host acknowledges that his estimates may be understated, as there are many factors involved in this rapid advancement.
The host then discusses the potential integration of LLMs into various digital products and services, highlighting the claims made by OpenAI about their ability to "destroy Google and search" by combining their LLM technology with Bing search data. He acknowledges that Google also has its own LLM and access to vast amounts of data, suggesting that a fierce competition is on the horizon.
The host emphasizes that the money-making opportunities will likely be in infrastructure, hardware, and applications, rather than the LLMs themselves. He mentions that companies like Meta, Elon Musk's ventures, and Amazon are already exploring ways to integrate LLMs into their products and services.
The host concludes by reiterating the rapid pace of progress in this field, with new generations of LLMs being released every few months, and urges the audience to be prepared for the transformative changes that are on the horizon.