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Visualizzazione post con etichetta robota. Mostra tutti i post
Visualizzazione post con etichetta robota. Mostra tutti i post

sabato 25 marzo 2023

# life: apropos of AI chatbots, a hypothetical nightmare (for professional writers).


<< Nearly half of white-collar professionals have tried using ChatGPT to help with their work, according to a recent survey of more than 10,000 people at blue chips such as Google, JP Morgan and McKinsey. That’s staggering, considering the AI chatbot was only released to the public in November. It’s potentially very exciting for the future of work, but it also brings serious risks. >>️

<< Jobs involving significant amounts of writing will inevitably be affected most, such as journalists, academic researchers and policy analysts. >>️

<< For example Mihir Shukla, CEO and founder of California-based software company Automation Anywhere, thinks that “anywhere from 15% to 70% of all the work we do in front of the computer could be automated”. On the other hand a recent McKinsey report suggests that only about 9% of people will have to change careers. Even so, that’s a lot of people. Lower to mid-level employees are likely to be the ones most affected. >>

<< Employers have historically used labour-saving devices to maximise productivity, making people work harder, not smarter or better. Computers and emails, for example, have made work never-ending for many people. >>️

<< There are additionally concerns about the human cost of creating AI chatbots. Kenyan workers, for instance, were paid between US$1 and US$2 (80 pence to £1.60) per hour to train OpenAI’s GPT-3 model, on which ChatGPT is based. Their brief was to make it less toxic by labelling thousands of samples of potentially offensive text so that the platform could learn to detect violent, racist and sexist language. This was so traumatic for the workers that the contractor nearly brought the project to an early end. Unfortunately, there’s likely to be much more of this kind of work to come. >>️

<< Finally, AI chatbots raise fascinating intellectual property issues. >>️
Peter Bloom, Pasi Ahonen. ChatGPT: how to prevent it becoming a nightmare for professional writers. The Conversation. Mar 1, 2023. 


Also 

<< Earlier this week, I was chatting with a policy professor in Washington, DC, who told me that students and colleagues alike are asking about GPT-4 and generative AI: What should they be reading? How much attention should they be paying?
She wanted to know if I had any suggestions, and asked what I thought all the new advances meant for lawmakers. I’ve spent a few days thinking, reading, and chatting with the experts about this, and my answer morphed into this newsletter. So here goes! >>️

Tate Ryan-Mosley. MIT - The Technocrat. Mar 24, 2023. 

Also

AI (co)creators of storytelling ... they don't cry during sad stories, but they could tell when you will. FonT. Dec 2, 2018. 

keyword 'ai' | 'bot' in FonT


keyword 'ia' | 'ai' | 'robota' in Notes
(quasi-stochastic poetry)



Keywords: life, ai, ia, artificial intelligence, bot, robota, chatbot, GPT-3, GPT-4, chatGPT, chatBARD, chatERNIE, chatFIREFLY, chatCLAUDE



sabato 24 settembre 2022

# art: generating images from text

This image was generated by the new open source AI art generator Stable Diffusion

My inserted text:
"Are you ready for all this?"

<< I’m Melissa Heikkilä, MIT Technology Review’s senior reporter for AI. I’m so happy you’re here. Every week I will demystify the latest AI breakthroughs and cut through the hype. This week, I want to talk to you about some of the unforeseen consequences that might come from one of the hottest areas of AI: text-to-image generation. 
Text-to-image AI models are a lot of fun. Enter any random text prompt, and they will generate an image in that vein. Sometimes the results are really silly. But increasingly, they're impressive, and can pass for high-quality art drawn by a human being.  >>️

Melissa Heikkila. The Algorithm. MIT Tech Rev. Sep 19, 2022. 


Also 

keyword 'ai' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)




Keywords: art, ai, artificial intelligence, bot, robota


sabato 1 maggio 2021

# life: I'm sorry, but this image has no predictive value

this image has no predictive value;  the Bot (relatively omniscient) will indicate the direction;  the Human (mumble grumble) will not be able to do other than walk it ... you bet, it's just a matter of time, relatively short time ... Are You Ready?

the image from  https://twitter.com/LDO_CTIO   (screenshot taken on Feb 25th, 2021 09:55 CET)

keyword 'ai' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)




martedì 30 marzo 2021

# ai: how a bot could start playing experimentally (as if it were a video game)

<< Inspired by the mastery of artificial intelligence (AI) over games like Go and Super Mario, scientists (..) trained an AI agent -- an autonomous computational program that observes and acts -- how to conduct research experiments at superhuman levels by using the same approach.  >>

<< Since time at our facility is a precious resource, it is our responsibility to be good stewards of that; this means we need to find ways to use this resource more efficiently so that we can enable more science, (..) One bottleneck is us, the humans who are measuring the samples. We come up with an initial strategy, but adjust it on the fly during the measurement to ensure everything is running smoothly. But we can't watch the measurement all the time because we also need to eat, sleep and do more than just run the experiment." >> Daniel Olds.️

<< This is why we taught an AI agent to conduct scientific experiments as if they were video games. This allows a robot to run the experiment, while we -- humans -- are not there. It enables round-the-clock, fully remote, hands-off experimentation with roughly twice the efficiency that humans can achieve, >> Phillip Maffettone.️
After AIs mastered Go and Super Mario, scientists have taught them how to 'play' experiments. DOE/ Brookhaven National Laboratory. March 25, 2021.


Phillip M Maffettone, Joshua K Lynch, et al.   Gaming the beamlines— employing reinforcement learning to maximize scientific outcomes at large-scale user facilities. Machine Learning: Science and Technology, 2 (2): 025025 doi: 10.1088/ 2632-2153/abc9fc. Mar 25, 2021.


Also

Anomalous formation of molecules after vapor deposition. FonT. Dec 31, 2015.


keyword 'ai' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)