flashontrack

keyword 'ia' | 'ai' | 'robota' in Notes

(quasi-stochastic poetry)

https://www.brookings.edu/blog/techtank/2023/05/03/how-ai-will-transform-the-2024-elections/

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

martedì 9 maggio 2023

# life: exponential post-Donald (without Donald), how AI could interfere (drive) next political elections.

<< Recent news that the Republican National Committee (RNC) has used an AI-generated video to criticize Joe Biden shows how likely AI is to transform our upcoming elections. >>️

<< Through templates that are easy and inexpensive to use, we are going to face a Wild West of campaign claims and counter-claims, with limited ability to distinguish fake from real material and uncertainty regarding how these appeals will affect the election. >>️

<< In the coming year, response times may drop to minutes, not hours or days. AI can scan the internet, think about strategy, and come up with a hard-hitting appeal. >>️

<< AI provides an inexpensive way to generate instant responses without having to rely on highly-paid consultants or expert videographers. >>️

<< AI enables very precise audience targeting, which is crucial in political campaigns. >>️

<< AI likely will democratize disinformation by bringing sophisticated tools to the average person interested in promoting their preferred candidates as well. People no longer must be coding experts or video wizards to generate text, images, video, or programs. They don’t necessarily have to work for a troll farm to create havoc with the opposition. They can simply use advanced technologies to spread the messages they want. In that sense, anyone can become a political content creator and seek to sway voters or the media. >>️

Darrell M. West. How AI will transform the 2024 elections. May 3, 2023.

Also: 'ai', 'analogy', 'Potus', 'RAG-time', 'CTZ', 'Donald' in https://www.inkgmr.net/kwrds.html

Keywords: life, ai, analogy, potus, RAG, CTZ, Donald

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

giovedì 27 giugno 2024

# ai: apropos of Black Box in Generative Artificial Intelligence, the scientific XAI.

<< The scientific method is the cornerstone of human progress across all branches of the natural and applied sciences, from understanding the human body to explaining how the universe works. The scientific method is based on identifying systematic rules or principles that describe the phenomenon of interest in a reproducible way that can be validated through experimental evidence. In the era of artificial intelligence (AI), there are discussions on how AI systems may discover new knowledge. >>

<< More specifically, knowing what data AI systems used to make decisions can be a point of contact with domain experts and scientists, that can lead to divergent or convergent views on a given scientific problem. Divergent views may spark further scientific investigations leading to new scientific knowledge. Convergent views may instead reassure that the AI system is operating within bounds deemed reasonable to humans. >>️

<< The perspective (AA) present here was inspired by several authors that published on the topic of AI for science in the past few years, but perhaps one contribution stands out: the inspiring New York Times editorial by Steven Strogatz (Strogatz, S. One giant step for a chess-playing machine. New York Times 26 (2018)) covering the winning of AlphaZero against Stockfish. In that piece, Strogatz states: “What is frustrating about machine learning, however, is that the algorithms can’t articulate what they’re thinking. We don’t know why they work, so we don’t know if they can be trusted. AlphaZero gives every appearance of having discovered some important principles about chess, but it can’t share that understanding with us.”. He additionally cites Garry Kasparov (the former world chess champion) that stated: “we would say that its [AlphaZero] style reflects the truth. This superior understanding allowed it to outclass the world’s top traditional program despite calculating far fewer positions per second.” >>️

AA highlights the importance of three aspects regarding scientific XAI (explainable Artificial Intelligence): accuracy, reproducibility, understandability, ️

Apropos of 'understandability', << The machine view should be understandable to scientists and domain experts. (..) If we want a scientist to make sense of the data used by a machine, this data should contain viable features that allow a scientist to tap into its existing corpus of knowledge. >>

<< XAI may also alleviate some of the risks that we may face when using AI for scientific discovery, that we share with Messeri and Crockett (‘adopting AI in scientific research can bind to our cognitive limitations and impede scientific understanding despite promising to improve it’). >>

️

Gianmarco Mengaldo. Explain the Black Box for the Sake of Science: Revisiting the Scientific Method in the Era of Generative Artificial Intelligence. arXiv: 2406.10557v1 [cs.AI]. Jun 15, 2024.

https://arxiv.org/abs/2406.10557

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

Keywords: AI, XAI, Artificial Intelligence

mercoledì 22 aprile 2020

# ai: the dawn of 'Darwinian' self-programming machines, by Quoc Le (Google)

<< Artificial intelligence (AI) is evolving-literally. Researchers have created software that borrows concepts from Darwinian evolution, including "survival of the fittest," to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could discover new approaches to AI. >>

<< So Quoc Le, a computer scientist at Google, and colleagues developed a program called AutoML-Zero that could develop AI programs with effectively zero human input, using only basic mathematical concepts a high school student would know. >>

<< Our ultimate goal is to actually develop novel machine learning concepts that even researchers could not find, >> Quoc Le.

Edd Gent. Artificial intelligence is evolving all by itself. Science. Technology. doi: 10.1126/ science.abc2274. Apr. 13, 2020.

https://www.sciencemag.org/news/2020/04/artificial-intelligence-evolving-all-itself

Esteban Real, Chen Liang, et al. AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. arXiv:2003.03384v1 [cs.LG]. Mar 6, 2020.

https://arxiv.org/abs/2003.03384

David Nield. Google Engineers 'Mutate' AI to Make It Evolve Systems Faster Than We Can Code Them. Apr 17, 2020.

https://www.sciencealert.com/coders-mutate-ai-systems-to-make-them-evolve-faster-than-we-can-program-them

Also

keyword 'ai' in FonT

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

keyword 'ia' in Notes (quasi-stochastic poetry)

https://inkpi.blogspot.com/search?q=ia

sabato 24 settembre 2022

# art: generating images from text

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

https://huggingface.co/spaces/stabilityai/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.

https://mailchi.mp/technologyreview.com/welcome-to-the-algorithm-j1fl2n3h99

Also

keyword 'ai' | 'bot' in FonT

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

https://techxplore.com/news/2021-02-algorithms-score-higher-humans-ai.html

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

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.

https://www.nature.com/articles/s41586-020-03157-9

Also

keyword 'AI' | 'bot' in FonT

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

https://theconversation.com/drugs-robots-and-the-pursuit-of-pleasure-why-experts-are-worried-about-ais-becoming-addicts-163376

venerdì 1 ottobre 2021

# ai: perpetual nirvana among 'self-addicted', 'self-cracked', 'playful' machines, the wireheading effect.

<< In 1953, a Harvard psychologist thought he discovered pleasure – accidentally – within the cranium of a rat. With an electrode inserted into a specific area of its brain, the rat was allowed to pulse the implant by pulling a lever. It kept returning for more: insatiably, incessantly, lever-pulling. In fact, the rat didn’t seem to want to do anything else. Seemingly, the reward centre of the brain had been located. >>️

<< More than 60 years later, in 2016, a pair of artificial intelligence (AI) researchers were training an AI to play video games. The goal of one game – Coastrunner – was to complete a racetrack. But the AI player was rewarded for picking up collectable items along the track. When the program was run, they witnessed something strange. The AI found a way to skid in an unending circle, picking up an unlimited cycle of collectables. It did this, incessantly, instead of completing the course. >>️

<< What links these seemingly unconnected events is something strangely akin to addiction in humans. Some AI researchers call the phenomenon "wireheading". >>️

Thomas Moynihan, Anders Sandberg. Drugs, robots and the pursuit of pleasure – why experts are worried about AIs becoming addicts. The Conversation. Sep 14, 2021.

Rock'n Roll Monkey/Unsplash, FAL (img)

https://images.theconversation.com/files/411932/original/file-20210719-23-1fx0vl0.jpg

FonT: so one could hypothesize a suitable 'magic string' that mitigates hypothetical autocatalytic pulsatile wireheading effects, even for artificial, bio-artificial entities.

An ethno-drug revisited ... Ayahuasca, prelude of a "magic string" in neuropharmacology. FonT. July 8, 2018.

https://flashontrack.blogspot.com/2018/07/pharma-ethno-drug-revisited-ayahuasca.html

Also

"senza finalita' ideologiche, solo per curiosita', giusto per giocare ..." in:

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

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

A mechanism of analogy could be the master key to achieving an abstract artificial intelligence. FonT. Aug 10, 2021.

https://flashontrack.blogspot.com/2021/08/aibot-mechanism-of-analogy-could-be.html

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

https://www.nature.com/articles/d41586-024-01087-4

keywords: ai, bots, artificial intelligence, wireheading effect, addiction

mercoledì 17 aprile 2024

# life: oops! AI - artificial intelligence - now beats humans at basic tasks.

<< Artificial intelligence (AI) systems, such as the chatbot ChatGPT, have become so advanced that they now very nearly match or exceed human performance in tasks including reading comprehension, image classification and competition-level mathematics, according to a new report. >>️

Nicola Jones. AI now beats humans at basic tasks — new benchmarks are needed, says major report. Stanford University’s 2024 AI Index charts the meteoric rise of artificial-intelligence tools. Nature. doi: 10.1038/ d41586-024-01087-4. Apr 15, 2024.

<< Welcome to the seventh edition of the AI Index report. The 2024 Index is our most comprehensive to date and arrives at an important moment when AI’s influence on society has never been more pronounced. >>

️

THE AI INDEX REPORT. Measuring trends in AI.

https://aiindex.stanford.edu/report/

Also: "qui non e' impossibile immaginare ..." (here it is not impossible to imagine ... ). In: FonT. Dec 31, 2015.

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

Also: artificial intell, analogy, nfulaw, oops, in https://www.inkgmr.net/kwrds.html

Keywords: life, ai, artificial intelligence, analogy, nfulaw

sabato 2 settembre 2017

# ai-bot: 352 predictions of when machines will make humans obsolete

researchers at the Oxford University's Future of Humanity Institute << have carried out the largest-ever survey of machine learning experts on the subject >>

they << contacted 1,634 researchers who published papers at the 2015 NIPS and ICML conferences—the two leading machine learning conferences—and asked them to complete a survey on the topic, with 352 researchers responding >>

<< The aggregate forecast was that there is a 50 percent chance that 'unaided machines can accomplish every task better and more cheaply than human workers' within 45 years >>

Edd Gent. When Will AI Be Better Than Humans at Everything? 352 AI Experts Answer. Jul 25, 2017

https://singularityhub.com/2017/07/25/when-will-ai-be-better-than-humans-at-everything-352-ai-experts-answer/

<< Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years, with Asian respondents expecting these dates much sooner than North Americans >>

Katja Grace, John Salvatier, et al. When Will AI Exceed Human Performance? Evidence from AI Experts. arXiv:1705.08807 May 30, 2017

https://arxiv.org/abs/1705.08807

FonT

per mia opinione (di non esperto AI) se/quando il calcolo quantistico sara' fisicamente capillare e a basso costo come lo e' attualmente l'architettura x86, nel giro di 10-15 anni (anche prima) qualsiasi attivita' umana in qualsiasi distretto geografico del pianeta sara' riproducibile, a velocita', accuratezza, professionalita', fantasia sorprendentemente superiori e a costi quasi nulli, tendenti a zero.

Agli umani, per evitare gli usuali vortici autodistruttivi, servira' "l'adatta stringa" ...

http://flashontrack.blogspot.it/search?q=%22adatta+stringa%22

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.

https://www.sciencedaily.com/releases/2021/03/210325150039.htm

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.

http://dx.doi.org/10.1088/2632-2153/abc9fc

Also

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

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

keyword 'ai' | 'bot' in FonT

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

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

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://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

mercoledì 16 ottobre 2024

# life: Future You

<< AI simulation gives people a glimpse of their potential future self. By enabling users to chat with an older version of themselves, Future You is aimed at reducing anxiety and guiding young people to make better choices. >>️

<< Have you ever wanted to travel through time to see what your future self might be like? Now, thanks to the power of generative AI, you can. >>️

Adam Zewe. AI simulation gives people a glimpse of their potential future self. MIT News. Oct 1, 2024.

https://news.mit.edu/2024/ai-simulation-gives-people-glimpse-potential-future-self-1001

Pat Pataranutaporn, Kavin Winson, et al. Future You: A Conversation with an AI-Generated Future Self Reduces Anxiety, Negative Emotions, and Increases Future Self-Continuity. arXiv: 2405.12514v4 [cs.HC]. Oct 1, 2024.

https://arxiv.org/abs/2405.12514

Try Future You https://futureyou.media.mit.edu/

Also: ai (artificial intell), are you ready for all this? in https://www.inkgmr.net/kwrds.html

Keywords: life, ai, artificial intelligence, are you ready for all this

sabato 27 ottobre 2018

# acad: oops! No PhD will be necessary to build artificial intelligence algorithms

<< OVER THE past five years researchers in artificial intelligence have become the rock stars of the technology world (..) The top names can earn over $1m a year. (..) The standard route into these jobs has been a PhD in computer science from one of America’s elite universities. (..) That is changing. This month fast.ai, an education non-profit based in San Francisco, kicked off the third year of its course in deep learning. (..) The course and others like it come with a simple proposition: there is no need to spend years obtaining a PhD in order to practise deep learning. (..) Fast.ai’s course can be completed in just seven weeks. >>

No PhD, no problem. New schemes teach the masses to build AI. Oct 25, 2018.

https://www.economist.com/business/2018/10/27/new-schemes-teach-the-masses-to-build-ai

More

http://www.fast.ai/

https://flashontrack.blogspot.com/2018/06/ai-open-source-ai-projects.html

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

sabato 9 giugno 2018

# ai: open source AI projects

<< The Linux Foundation has published a free ebook by Ibrahim Haddad examining popular open source AI projects, including Acumos AI, Apache Spark, Caffe, TensorFlow, and others. >>

<< "It is increasingly common to see AI as open source projects,” Haddad said. And, “as with any technology where talent premiums are high, the network effects of open source are very strong.” >>

Amber Ankerholz. Free Ebook Offers Insight on 16 Open Source AI Projects. May 22, 2018.

https://www.linuxfoundation.org/blog/free-ebook-offers-insight-on-16-open-source-ai-projects/

martedì 15 ottobre 2019

# ai: the future where machines will test hypotheses on their own

<< Brian Nord imagines a future where machines test hypotheses on their own (..) Nord has begun applying AI to problems in astronomy, such as identifying unusual astronomical objects known as gravitational lenses. (..) He spoke to Physics about his recent projects and how he thinks AI, also known as machine learning, will change the way researchers do science. >>

Sophia Chen. Paving A Path for AI in Physics Research. Physics 12, 108. Oct 3, 2019. https://physics.aps.org/articles/v12/108

Also

oops! artificial intelligence will kill self-employment. Oct 4, 2019. https://flashontrack.blogspot.com/2019/10/ai-life-oops-artificial-intelligence.html

keyword "ai" in FonT: https://flashontrack.blogspot.com/search?q=ai

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.

https://www.quantamagazine.org/melanie-mitchell-trains-ai-to-think-with-analogies-20210714/

https://twitter.com/QuantaMagazine/status/1416798420669509635

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)

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

keyword 'gst' (general system theory) in FonT

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

keyword 'organoids' in FonT

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

keyword 'ai' | 'bot' in FonT

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