Will it be common for non-programmers to create small scripts using AI in their everyday work or life? By 2033
➕
Plus
106
Ṁ6741
2033
69%
chance

Inspired by.

It may later be succeeded by other technologies, but it should be a thing for a period of at least 6 months.

10% of people regularly doing it will serve as an anchor for the definition of "common", but I don't expect to have this clean data when resolving, and will be vaguely estimating based on this.

It may be wrapped in a no-code user interface, as long as there is still a very general coding AI behind it.

Get
Ṁ1,000
and
S3.00
Sort by:

Manifold Markets is a fascinating platform for predicting and exploring probabilities on various topics using play money, which can offer unique insights and help refine decision-making. It's intriguing how such a market-based approach can be adapted for diverse fields, even unconventional ones like travel and tourism. For example, platforms like Overnight Desert Safari can benefit from such predictive tools to gauge interest in specific tours or experiences, helping to optimize offerings based on potential customer interest and engagement.

As AI technology continues to evolve, it’s highly likely that by 2033, non-programmers will be able to create small scripts to automate tasks in their everyday work or life. Just as technology is becoming more accessible, platforms like srd status check make it easier for individuals to stay informed about essential services, such as the SRD R350 grant. As more tools and information become user-friendly, everyone can leverage technology to simplify daily tasks and access key resources.

By 2033, it is highly likely that non-programmers will regularly create small scripts using AI tools, significantly enhancing productivity in both work and personal life. As AI continues to evolve, user-friendly interfaces and simplified coding environments will empower individuals to automate tasks without requiring extensive programming knowledge. For instance, integrating invisible text into communications or digital projects can be done easily with the right tools. To explore creative solutions and learn how to leverage AI in everyday tasks, visit texto invisible. This site offers various resources that can help users make the most of AI technology.

bought Ṁ50 YES

AI will automate certain tasks on demand. AI will probably have access to certain System calls that it can call with parameters. That alone would satisfy this question.

@Philip3773733 iOS is already moving in that direction with App Intents, it’s only a matter of time until the system will allow you to do multi step executions in one command

As AI technology advances, it’s likely that by 2033, non-programmers will commonly create small scripts to automate tasks in their daily lives. For those who want to explore the latest apps and games that embrace technological innovation, visit Uniques games . With a wide selection of APK downloads, it’s your go-to platform for discovering cutting-edge mobile experiences.

As we move toward a future where AI becomes more integrated into daily life, it’s fascinating to think about how even non-programmers might use AI to create small scripts for everyday tasks. Similarly, sports fans are also embracing tech solutions to enhance their experience. For football enthusiasts, platforms like Stream East offer live streams of matches, making it easy to catch your favorite games from anywhere. While AI might shape our work in 2033, platforms like Stream East are already transforming how we enjoy sports today.

bought Ṁ10 NO

I'm buying NO because syntax isn't the barrier to entry for programming. Dealing with fiddly special cases is.

@CraigDemel

  • The AI can also do this.

  • A lot of scripts are just dumb glue code which is not hard for a programmer but which requires a lot of background the average user lacks.

@osmarks The dumb glue code is the syntax part to which I was referring. LLMs are bad at the actual logic part, because they are just text predictors.

@CraigDemel Have you actually used Claude 3.5 Sonnet? I also think you're underestimating the difficulty of programming anything at all for normal people.

@osmarks I'm betting NO because I think the actual work of telling Sonnet their requirements in enough detail to get what they want is more effort than most people will expand.

Also, I recently asked Gemini to tell me what the output of a NAND gate would be given two false inputs, and it failed. Some LLMs have patched things like this, but then fail at only slightly more complex tasks, because the entire architecture is designed to optimize token prediction.

@CraigDemel I consider stochastic-parrot-esque arguments unserious and am ignoring them. I think you underestimate LLMs' ability to guess roughly what you want. I have them do plotting code and quick Python scripts and such all the time from underspecified vague descriptions. I can also ask for tweaks if I miss something.

@osmarks Please continue to ignore the limitations of LLMs so I can buy more NO shares!

I also use LLMs to generate boilerplate code. But once you get off the reservation they start to fail hard.

bought Ṁ100 YES

@CraigDemel The average thing a user wants is not a weird trick but something doing fairly mundane data munging, and 2033 models will obviously be much better.

@osmarks If it's mundane then a programmer will wire a button to it and no one will have to script it.

What part of life would be so underspecified that hundreds of millions of people would have to write unique scripts?

@CraigDemel Programmers don't always bother with this stuff. I imagine it'll replace things like spreadsheets or some manual workflows.

Comment hidden
Comment hidden
Comment hidden
Comment hidden
© Manifold Markets, Inc.Terms + Mana-only TermsPrivacyRules