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Visualizzazione dei post in ordine di data per la query ai-bot. Ordina per pertinenza Mostra tutti i post
Visualizzazione dei post in ordine di data per la query ai-bot. Ordina per pertinenza Mostra tutti i post

sabato 10 agosto 2024

# ai-bot: Cybloids − Creation and Control of Cybernetic Colloids.

FIG. 11. Particle clusters formed for different parameters of the feedback potential.

AA << present an idea to create particles with freely selectable properties. The properties might depend, for example, on the presence of other particles (hence mimicking specific pair or many-body interactions), previous configurations (hence introducing some memory or feedback), or a directional bias (hence changing the dynamics). Without directly interfering with the sample, each particle is fully controlled and can receive external commands through a predefined algorithm that can take into account any input parameters. This is realized with computer-controlled colloids, which (AA) term cybloids - short for cybernetic colloids. >>

<< For a single particle, this programming can cause subdiffusive behavior or lend activity. For many colloids, the programmed interaction potential allows to select a crystal structure at wish. Beyond these examples, (AA) discuss further opportunities which cybloids offer. >>️

Debasish Saha, Sonja Tarama, et al. Cybloids − Creation and Control of Cybernetic Colloids. arXiv: 2408.00336v1 [cond-mat.soft]. 

Also: ai (artificial intell), bot, colloids, in https://www.inkgmr.net/kwrds.html 

Keywords: AI, Artificial Intell, BOT, AI-BOT, colloids, cybernetic colloids, cybloids


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Etichette: , , , , , ,

lunedì 22 luglio 2024

# ai-bot: hypothesis of the emergence of a conscious AI model in short-term.

<< GPT-4 is often heralded as a leading commercial AI offering, sparking debates over its potential as a steppingstone toward artificial general intelligence. But does it possess consciousness? >>

AA paper << investigates this key question using the nine qualitative measurements of the Building Blocks theory. GPT-4's design, architecture and implementation are compared to each of the building blocks of consciousness to determine whether it has achieved the requisite milestones to be classified as conscious or, if not, how close to consciousness GPT-4 is. >>

AA << assessment is that, while GPT-4 in its native configuration is not currently conscious, current technological research and development is sufficient to modify GPT-4 to have all the building blocks of consciousness. Consequently, (AA) argue that the emergence of a conscious AI model is plausible in the near term. >>️

Izak Tait, Joshua Bensemann, Ziqi Wang. Is GPT-4 conscious? arXiv: 2407.09517v1 [cs.AI]. Jun 19, 2024.
https://arxiv.org/abs/2407.09517

Also: ai (artificial intell) in https://www.inkgmr.net/kwrds.html 

Keywords: ai, artificial intelligence, gpt-4, consciousness


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Etichette: , , ,

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



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Etichette: , , , , , , , , , , , , ,

sabato 5 novembre 2022

# jazz: a 'Trombiverse' approach, 'hear Beethoven like you've never heard it before'


<< Trombone Champ is the world's first trombone-based rhythm music game. Unlike most music games, you can freely play any note at any time. You're not just following along with the music, you're actually playing the music! >>️

Holy Wow. Trombone Champ. Sep 15, 2022. 


Christopher Livingston. The world's first trombone rhythm game is instantly a GOTY contender. Sep21, 2022.

cit. @RhiannonJudithW. The Download. MIT. Sep 22, 2022.

FonT

a working hypothesis: anyone could summarize, filtering life-data through an artificial intelligence, the salient episodes of one's own existence through an approach of this type ... 

Also

'jazz' in FonT

'jazz' | 'jazzy' | 'funky' |  in FonT (twitter)

'jazz' in Notes 
(quasi-stochastic poetry)

'ai' | 'bot' in FonT


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



Keywords: jazz, life, music, trombone,  games, ai, artificial intelligence



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Etichette: , , , , , ,

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


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Etichette: , , , ,

martedì 10 agosto 2021

# ai.bot: a mechanism of analogy could be the master key to achieving an abstract artificial intelligence

<< It’s understanding the essence of a situation by mapping it to another situation that is already understood, (..) If you tell me a story and I say, ‘Oh, the same thing happened to me,’ literally the same thing did not happen to me that happened to you, but I can make a mapping that makes it seem very analogous. It’s something that we humans do all the time without even realizing we’re doing it. We’re swimming in this sea of analogies constantly. >> Melanie Mitchell.
️
John Pavlus. The Computer Scientist Training AI to Think With Analogies. QuantaMag. Jul 14, 2021.



Also

here a fuzzy example:  "qui non e' impossibile immaginare ..." (here it is not impossible to imagine ... )
in: Notes. Dec 31, 2015 (quasi-stochastic poetry)


keyword 'gst' (general system theory) in FonT 


keyword 'organoids' in FonT


keyword 'ai' | 'bot' in FonT



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






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Etichette: , , , ,

sabato 29 maggio 2021

# ai.bot: from stochastic parrot to quasi-stochastic speaking (mimetic) entity, the next steps of LLMs AI phrasing algorithms ... Are you ready?

<< Soon enough, all of our digital interactions—when we email, search, or post on social media—will be filtered through LLMs. (i.e. large language model (LLM)—a deep-learning algorithm trained on enormous amounts of text data) >>️

 << it’s the gap between what LLMs are and what they aspire to be that has concerned a growing number of researchers. LLMs are effectively the world’s most powerful autocomplete technologies. By ingesting millions of sentences, paragraphs, and even samples of dialogue, they learn the statistical patterns that govern how each of these elements should be assembled in a sensible order. This means LLMs can enhance certain activities: for example, they are good for creating more interactive and conversationally fluid chatbots that follow a well-established script. But they do not actually understand what they’re reading or saying. >>

<< We can’t really stop this craziness around large language models, where everybody wants to train them, (..) But what we can do is try to nudge this in a direction that is in the end more beneficial. >> Thomas Wolf.️

<< "Language technology can be very, very useful when it is appropriately scoped and situated and framed," (Emily Bender) (..) But the general-purpose nature of LLMs—and the persuasiveness of their mimicry—entices companies to use them in areas they aren’t necessarily equipped for. >> ️

Karen Hao. The race to understand the exhilarating, dangerous world of language AI. Tech Rev. May 20, 2021. 


"Stochastic parrots" (by Timnit Gebru) in: 


Also

Notes (quasi-stochastic poetry) 




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Etichette: , , , , , , , , , ,

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)




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Etichette: , , , ,

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)






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Etichette: , , , ,

sabato 27 febbraio 2021

# life: even when you play classic (e.g. Montezuma's Revenge), bots win.

<< A team of researchers (..) has developed a set of learning algorithms that proved to be better at playing classic video games than human players or other AI systems. >>

They << explain how their algorithms differ from others and why they believe they have applications in robotics, language processing and even designing new drugs. >>

<< Reinforcement learning algorithms learn how to do things by synthesizing information provided in a large dataset- they recognize patterns and use them to make guesses about new data. (..) But, (..) such algorithms tend to run into trouble when they encounter data that does not fit with other data in the dataset. (AA) have overcome this problem by adding an algorithm that remembers all the paths a previous algorithm has taken as it has tried to solve a problem. When it finds a data point that does not appear to be correct, it goes back to its memory map and tries another route. In terms of playing video games, it retains screen grabs as it plays and when it finds itself losing, goes back to another point in the game and tries another approach. The algorithm also groups together images that look similar to figure out what point in time it should return to if things go awry. >>

<< They then used their system to play 55 Atari games that, over time, have become benchmarks for testing AI systems. The new system beat other AI systems 85.5 percent of the time. It did particularly well at Montezuma's Revenge, scoring higher than any other AI system and beating the record for a human. >>

Bob Yirka. Reinforcement learning algorithms score higher than humans, other AI systems at classic video games. Feb 25, 2021.


Ecoffet A, Huizinga J, et al. First return, then explore. Nature 590, 580–586. doi: 10.1038/ s41586-020-03157-9. Feb 25, 2021.


Also

keyword 'AI' | 'bot' in FonT



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










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Etichette: , , ,

lunedì 19 ottobre 2020

# ai-bot: use of soft labels with 'less than one'-shot task in AI learning models

<< Deep neural networks require large training sets but suffer from high computational cost and long training times. Training on much smaller training sets while maintaining nearly the same accuracy would be very beneficial. In the few-shot learning setting, a model must learn a new class given only a small number of samples from that class. One-shot learning is an extreme form of few-shot learning where the model must learn a new class from a single example. (AA)  propose the 'less than one'-shot learning task where models must learn N new classes given only M<N examples and (they) show that this is achievable with the help of soft labels. >>

Ilia Sucholutsky, Matthias Schonlau. 'Less Than One'-Shot Learning: Learning N Classes From M<N Samples. arXiv:2009.08449v1. Sep 17, 2020


Karen Hao. A radical new technique lets AI learn with practically no data. Oct 16, 2020.  


FonT: sara' verosimilmente intrigante osservare come una 'macchina AI' sapra' esercitare sugli umani il potere di cooptazione ...


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martedì 21 gennaio 2020

# bots: xenobot (from Xenopus laevis), the first living, programmable organism

<< A remarkable combination of artificial intelligence (AI) and biology has produced the world’s first "living robots".  (..) The term "xeno" comes from the frog cells (Xenopus laevis) used to make them. >>

<< One of the researchers described the creation as "neither a traditional robot nor a known species of animal", but a "new class of artifact: a living, programmable organism". >>

<< Xenobots are less than 1mm long and made of 500-1000 living cells. They have various simple shapes, including some with squat "legs". They can propel themselves in linear or circular directions, join together to act collectively, and move small objects. Using their own cellular energy, they can live up to 10 days. >>

Simon Coghlan, Kobi Leins. Not bot, not beast: scientists create first ever living, programmable organism. University of Melbourne. Jan 19, 2020.

https://theconversation.com/not-bot-not-beast-scientists-create-first-ever-living-programmable-organism-129980

Sam Kriegman, Douglas Blackiston, et al. A scalable pipeline for designing reconfigurable organisms. PNAS. doi: 10.1073/pnas.1910837117.  Jan 13, 2020

https://www.pnas.org/content/early/2020/01/07/1910837117

Also

keyword 'bots' in FonT

https://flashontrack.blogspot.com/search?q=bots

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Etichette: , ,

lunedì 29 aprile 2019

# ai.bot: "Machine Behaviour", the multi-disciplinary, ethological approach to "Intelligent Machines", by MIT

<< Rather than simply being scared of "intelligent machines," (..) society needs to study algorithms with a multi-disciplinary approach akin to the field of ethology. >>

Tiernan Ray. MIT finally gives a name to the sum of all AI fears. Apr 25, 2019.

https://www.zdnet.com/article/mit-finally-gives-a-name-to-the-sum-of-all-ai-fears/

<< Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. >>

AA << first outline a set of questions that are fundamental to this emerging field and then explore the technical, legal and institutional constraints on the study of machine behaviour. >>

Iyad Rahwan, Manuel Cebrian, et al. Machine behaviour. Nature volume 568, pages477–486 Apr 24, 2019.

https://www.nature.com/articles/s41586-019-1138-y

Also

anomalous formation of molecules after vapor deposition. Dec 31, 2015

http://flashontrack.blogspot.com/2015/12/rmx-s-gst-anomalous-formation-of.html 

Pubblicato da alle Nessun commento:

lunedì 11 marzo 2019

# ai.bot: adaptive robotics, the beginning

<< The goal of Zhao's lab is to create small, lightweight robots that can reconfigure themselves in response to a need. "In general, if you have a robot, its mechanical structure is fixed," says Zhao [Jianguo Zhao], an assistant professor in the Department of Mechanical Engineering. "If we can change the mechanical structure on the fly, without redesigning the robot, this is pretty useful, especially if the robot is very small … I don't think many people are trying to do that." >>

Anne Manning. These robots are small, shape-shifting, and they adapt to their surroundings. Colorado State University. Mar 6, 2019.

https://m.phys.org/news/2019-03-robots-small-shape-shifting.html 

https://engr.source.colostate.edu/these-robots-are-small-shape-shifting-and-they-adapt-to-their-surroundings/

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venerdì 1 febbraio 2019

# ai.bot: organizations can help keep workers productive and happy with AI "superminds", by Thomas.

<< Malone (Thomas Malone is a professor of management at MIT’s Sloan School of Management, founder and director of the MIT Center for Collective Intelligence) predicts that AI, robotics, and automation will destroy many jobs-including those of high-skilled knowledge workers-while at the same time creating new ones. By investing in the right kinds of AI, he says, organizations can help keep workers productive and happy-and make sure our “superminds” are actually smarter than our regular minds. >>

How AI is changing knowledge work: MIT’s Thomas Malone. With help from the right AI algorithms, organizations can evolve into "superminds" that are smarter than their individual members. Jan 24, 2019.

https://www.technologyreview.com/s/612815/how-ai-is-changing-knowledge-work-mits-thomas-malone/

https://twitter.com/techreview/status/1089340036498239489

Also

1740 - Codice di macchina IA (moveri machina coepit). Dec 19, 2004.

http://inkpi.blogspot.com/2004/12/1740-codice-di-macchina-ia-moveri.html

https://flashontrack.blogspot.com/search?q=ai.bot

Pubblicato da alle Nessun commento:

domenica 2 dicembre 2018

# ai-bot AI (co)creators of storytelling ... they don't cry during sad stories, but they could tell when you will

<< “Wow,” you think. “Maybe machines will replace human storytellers, just like self-driving cars could take over the roads.” >>

<< Was it possible, [AA] team asked, that machines could identify common emotional arcs in video stories-the typical swings of fortune that have characters struggling through difficult times, triumphing over hardship, falling from grace, or declaring victory over evil? If so, could storytellers use this information to predict how audiences might respond? These questions have resonance for anyone involved in video storytelling, from amateurs posting on YouTube to studio executives. >>

AI in storytelling: Machines as cocreators. MIT. Dec. 11, 2017.  (via McKinsey & Company: Media & Entertainment).

https://www.media.mit.edu/articles/ai-in-storytelling-machines-as-cocreators/

Also

# s-ai: artists and machine intelligence interactions: the Ross' conjecture . Jun 13, 2016.

https://flashontrack.blogspot.com/2016/06/s-ai-artists-and-machine-intelligence.html

# s-ai: A.I. Benjamin: "you'll sell your blood to live" ... Jun 11, 2016.

https://flashontrack.blogspot.com/2016/06/s-ai-benjamin-sell-your-blood-to-live.html

# ai: artificial intelligence AlphaGo becomes its own teacher. Oct 23, 2017.

https://flashontrack.blogspot.com/2017/10/ai-artificial-intelligence-alphago.html

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lunedì 29 ottobre 2018

# ai.bot: their names are Rosie and Norman; they could see you soon ...

about Rosie   https://newyork.cbslocal.com/2018/10/16/knightscope-robot-security-patrol/amp

about Norman   http://norman-ai.mit.edu/  

also

https://flashontrack.blogspot.com/search?q=nfulaw

https://flashontrack.blogspot.com/search?q=ai-bot

PS: non e' casuale se ho scelto la forma  "they could see you" anziche' "they could meet you"; "meet" significa "incontro", "to come into contact or conjunction with" percio' comporta anche "scambio"; invece "see" significa qui "osservare", "to perceive by the eye", "to come to know"; Lo "scambio" qui e' assente a priori. Vale a dire "apertura" di  una finestra di osservazione per la raccolta, l'analisi, la modellizzazione delle informazioni, e poi le previsioni, il controllo; e poi anche "blablabla",  anzicheforse. 2018-1030 15:45.


Pubblicato da alle Nessun commento:

mercoledì 22 agosto 2018

# ai.bot: a pulsatile semantic approach to assist in the drafting of sci/tech reports

<< At IBM Research AI, [AA] built an AI-based solution to assist analysts in preparing reports. >>

<< An AI-assisted solution can help analysts to prepare complete reports and also avoid bias based on past experience. >>

Oktie Hassanzadeh. Semantic concept discovery over event databases. IBM. July 17, 2018.

https://m.phys.org/news/2018-07-semantic-concept-discovery-event-databases.html

https://www.ibm.com/blogs/research/2018/07/semantic-concept-discovery/   

Oktie Hassanzadeh, Shari Trewin, Alfio Massimiliano Gliozzo. Semantic Concept Discovery Over Event Databases. ESWC. Feb 14, 2018.

https://2018.eswc-conferences.org/paper_182/

FonT

sarebbe davvero singolare, sorprendente, se, dopo l'analisi dei dati, una AI "decidesse" di scrivere il report finale in forma poetica, magari con un approccio quasistocastico, fuzzy, per la stesura del testo ...

Pubblicato da alle Nessun commento:

venerdì 3 agosto 2018

# ai.bot: AI-BOT machine learning could become as a mystical Oracle of Delphi

<< In January this year, scientists did just that. They used machine learning to accurately predict the outcome of a chaotic system over a much longer duration than had been thought possible. And the machine did that just by observing the system’s dynamics, without any knowledge of the underlying equations. >>

<< Such AI oracles are already guiding self-driving cars and stock market investments, and will soon predict which drugs will be effective against a bacterium - and what the weather will look like two weeks ahead. They will make these predictions much better than we ever could have, and they will do it without recourse to our mathematical models and equations. >>

Amar Vutha. Could machine learning mean the end of understanding in science? Aug 2, 2018.

https://theconversation.com/could-machine-learning-mean-the-end-of-understanding-in-science-98995  

FonT

percio' secondo l'opinione di Amar Vutha per i manuali delle "funzioni speciali" ( ad es. https://dlmf.nist.gov/ ) la prospettiva sarebbe sostanzialmente la loro mesta archiviazione nei solitari polverosi scaffali di scantinati accademici ...

Also

<< ho i dati osservazionali, attraverso questi  ho messo a punto un modello non del tutto campato in aria, vediamo cosa succede se ... >>

# rmx-s-gst: anomalous formation of molecules after vapor deposition. Dec 31, 2015.

https://flashontrack.blogspot.com/2015/12/rmx-s-gst-anomalous-formation-of.html

Pubblicato da alle Nessun commento:

giovedì 12 luglio 2018

# ai-bot: actually, things could start to get out of control

<< It’s clear that companies have identified the value of bots and integrated them into their sales, customer service, and human resource processes. But now individuals are also starting to use them to navigate through the bot-heavy world of the internet, which leads to bot-bot interactions where humans are not involved anymore. >>

<<  If bots are now more efficient than people, they can get things done in a way humans can’t  - and we all know this. But when there’s also a bot on the other side, things start to get out of control. >>

Andreas Berger. Bot vs. Bot: Will the Internet Soon Be a Place Without Humans? Jul 07, 2018.

https://singularityhub.com/2018/07/07/bot-vs-bot-will-the-internet-soon-be-a-place-without-humans/

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