Artificial intelligence is rapidly changing many aspects of how we work and live. (How many stories did you read last week about self-driving cars and job-stealing robots? Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain.
AI doesn’t think in our sense of the word at all, Scriffignano explains. “In many ways, it’s not really intelligence. It’s regressive.”
IT leaders should make deliberate choices about what AI can and can’t do on its own. “You have to pay attention to giving AI autonomy intentionally and not by accident,”
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Tomi Engdahl says:
https://www.uusiteknologia.fi/2024/08/06/10-parasta-generatiivisen-koodin-teosta-aanesta-oma-ehdokkaasi/
Carina Otmueller says:
MASCHINELLES LERNEN & KI-ENTWICKLUNGSDIENSTLEISTUNGEN
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Tomi Engdahl says:
https://www.uusiteknologia.fi/2024/08/07/tekoaly-vaatii-parempaa-jaahdytysta-datakeskuksiin/
Tomi Engdahl says:
ChatGPT ei ole enää ladatuin AI-sovellus
https://etn.fi/index.php/13-news/16446-chatgpt-ei-ole-enaeae-ladation-ai-sovellus
Remini esitteli viime vuonna tekoälypohjaisen kuvanmuokkaustyökalun, joka levisi kulovalkean tavoin. Stocklytics.comin mukaan Remini on nyt ladatuin tekoälysovellus.
Reminin kumulatiivinen latausmäärä on 219 miljoonaa. Suosio perustuu toimintoon, jossa pariskunnista saatiin generoitua aidon näköisiä lapsuusajan kuvia. Erityisen suosittu sovellus on Kiinassa. Siellä Reminin kyky tarkentaa vanhoja, epäselviä valokuvia on houkutellut käyttäjiksi suuren joukon kiinalaisia Esimerkiksi toukokuun alussa Remini oli latauslistan kärjessä Kiinassa ohittaen TikTokin sisasalustat Douyin Liten ja Douyinin.
Tomi Engdahl says:
Ashton Kutcher Threatens That Soon, AI Will Spit Out Entire Movies
byFrank Landymore
Jun 7, 12:56 PM EDT
Patrick T. Fallon / AFP via Getty / Futurism
“You can generate any footage that you want.”
https://futurism.com/the-byte/ashton-kutcher-ai-entire-movies?fbclid=IwZXh0bgNhZW0CMTEAAR0OLT1m9Oj_OBwUjN47FlbZNLDRhqbtryvBovZTGnWMNG0TZskZkNZxxVk_aem_5iukIKsxBCZE7PQlEjBrIQ
Ashton Kutcher — who’s no stranger to controversy these days — has an eye rolling prophecy about the future of filmmaking.
In the near future, the “That ’70s Show” star predicts, entire movies will be generated with artificial intelligence. Specifically, it’ll be OpenAI’s much-touted video generation tool Sora that’ll be paving the way to this nightmarish future, a prediction informed by his fiddling with a beta version of the tool.
“You can generate any footage that you want. You can create good 10, 15-second videos that look very real,” Kutcher said during a conversation with former Google CEO Eric Schmidt at the Berggruen Salon in LA, per Variety.
“It still makes mistakes… But if you look at the generation of this that existed one year ago as compared to Sora, it’s leaps and bounds,”
Some major productions have already used generative AI, such as the Marvel TV show “Secret Invasion,” which used wonky AI images for its opening credits sequence. Kutcher, however, imagines Sora will play a much larger role in filmmaking than that early foray — perhaps something like that Sora-made short film that turned out to not exactly be made with Sora?
“Why would you go out and shoot an establishing shot of a house in a television show when you could just create the establishing shot for $100?” he asked. “To go out and shoot it would cost you thousands of dollars.”
Tomi Engdahl says:
Major shifts at OpenAI spark skepticism about impending AGI timelines
De Kraker: “If OpenAI is right on the verge of AGI, why do prominent people keep leaving?”
https://arstechnica.com/information-technology/2024/08/major-shifts-at-openai-spark-skepticism-about-impending-agi-timelines/?utm_source=facebook&utm_medium=social&utm_campaign=dhfacebook&utm_content=null&fbclid=IwZXh0bgNhZW0CMTEAAR0qCtNgSyGZcVWUac_gY63JoVOhqhS09gFRGJaAhxzklAg4Qch_5cuLqII_aem__ciM97CDwRRFDh9BP-yr6Q
Over the past week, OpenAI experienced a significant leadership shake-up as three key figures announced major changes. Greg Brockman, the company’s president and co-founder, is taking an extended sabbatical until the end of the year, while another co-founder, John Schulman, permanently departed for rival Anthropic. Peter Deng, VP of Consumer Product, has also left the ChatGPT maker.
In a post on X, Brockman wrote, “I’m taking a sabbatical through end of year. First time to relax since co-founding OpenAI 9 years ago. The mission is far from complete; we still have a safe AGI to build.”
The moves have led some to wonder just how close OpenAI is to a long-rumored breakthrough of some kind of reasoning artificial intelligence if high-profile employees are jumping ship (or taking long breaks, in the case of Brockman) so easily. As AI developer Benjamin De Kraker put it on X, “If OpenAI is right on the verge of AGI, why do prominent people keep leaving?”
Tomi Engdahl says:
https://hackaday.com/2024/08/08/building-ai-models-to-diagnose-hvac-issues/
Tomi Engdahl says:
https://betanews.com/2024/08/07/ai-is-key-to-innovation-but-infrastructure-and-other-challenges-hold-back-progress/#google_vignette
Tomi Engdahl says:
Tekoäly lupaa mullistaa bisneksen – ”Eihän kukaan ole laskenut internetin takaisinmaksuaikaa”
Anna Helakallio9.8.202406:11TekoälyDigitalous
Tekoälyhuuma kasvaa päivä päivältä, mutta voiko teknologia tällä kertaa todella täyttää sille asetetut korkeat odotukset?
https://www.tivi.fi/uutiset/tekoaly-lupaa-mullistaa-bisneksen-eihan-kukaan-ole-laskenut-internetin-takaisinmaksuaikaa/eb335831-fe40-4735-a8f8-39865e1dbefe
Tomi Engdahl says:
https://blog.kuulu.fi/tekoaly-yrittajalle
Tomi Engdahl says:
https://blog.sentry.io/sentry-is-now-fair-source/
Tomi Engdahl says:
Tekoälyn avulla ikuinen kesäloma – haluaisitko oikeasti?
Petteri Järvinen9.8.202407:15TekoälyTekoäly
Uusi teknologia on aina luvannut ihmisille helpompaa elämää, kirjoittaa Petteri Järvinen.
https://www.tivi.fi/blogit/tekoalyn-avulla-ikuinen-kesaloma-haluaisitko-oikeasti/8f3a10bc-40a4-4a49-9eb4-357606dc3b88
Uusi teknologia on aina luvannut ihmisille helpompaa elämää. Tietokoneiden piti tehdä toimistorutiineista niin sujuvia, että ihmisille jäisi enemmän vapaa-aikaa. Siitä kertoi jo nimikin: ATK eli automaattinen tietojenkäsittely.
Liki sata vuotta sitten kuviteltiin 2000-lukua, jolloin koneaivot ja robotit tekisivät ihmisten raskaat työt. Muinaisen Ateenan ihanne tulisi todeksi, kun ihmiset voisivat levätä päivät plataanipuiden varjossa filosofiaa pohtien.
Nyt taikasana on tekoäly. Se nostaa tuottavuuden niin suureksi, että ihmiset voivat siirtyä kolmipäiväiseen työviikkoon.
”Elämän tarkoitus ei ole pelkkä työnteko”, sanoi jopa Bill Gates, kun häneltä kysyttiin tekoälyn vaikutuksista yhteiskuntaan. Pitkistä työpäivistään tunnetun Microsoftin perustajan luulisi tietävän.
Ihmiskunta on selvinnyt historian myrskyistä, koska se on rajattoman sopeutuvainen ja ikuisesti tyytymätön. Jos tyytyisimme 1970-luvun elintasoon, voisimme siirtyä kolmipäiväiseen työviikkoon vaikka heti.
Mutta kuinka moni olisi valmis luopumaan lomamatkoista ulkomaille, loppumattomasta viihdetarjonnasta ja kaikista hienoista esineistä ja palveluista, joita emme varsinaisesti tarvitse, mutta jotka ovat sittenkin aika kivoja?
Generatiivinen tekoäly suoltaa tekstiä, numeroita ja kuvia napin painalluksella. Se tuntuu tehokkaalta, mutta pelkkä tekninen helppous ilman aitoa ymmärrystä ja sisältöä lisää ainoastaan määrää ja sitä kautta pikemminkin lisää ihmistyön tarvetta.
Esimerkiksi Microsoft mainostaa Copilotin kykyä osallistua Teams-palavereihin käyttäjän puolesta. Tekoäly laatii yhteenvedon ja linkittää avainkohdat videolle, josta tietotyöläinen voi jälkikäteen tarkistaa, mitä tehtäviä hänelle nakitettiin.
Kun Teams-palaverien järjestäminen helpottuu, niiden määrä lisääntyy. Yhä enemmän aikaa kuluu yhä turhempien palaverien tiivistelmiin. Aidosti hyödyllinen tekoäly vähentäisi palavereita, ei lisäisi niitä.
Tällä kehityksellä on arvaamattomia vaikutuksia 10-20 vuoden perspektiivillä. Ehkä vihdoin saamme maailman, jossa robotit hoitavat työt ja niiden tuottama lisäarvo jaetaan tasan kansalaisille.
Useimmille tietotyöläisille työ antaa elämään sisältöä ja merkitystä. Eläköityminen on monelle pettymys, sillä joutenolo laskee kognitiivisia kykyjä. Itsensä johtaminen on vaikeampaa kuin muiden johtaminen.
Toivotaan, etteivät aito tekoäly ja robotit kehity liian nopeasti. Ihmiskunta tarvitsee aikaa. Ja me työntekijät kesälomia.
https://www.tivi.fi/blogit/tekoalyn-avulla-ikuinen-kesaloma-haluaisitko-oikeasti/8f3a10bc-40a4-4a49-9eb4-357606dc3b88
Tomi Engdahl says:
First, Bargury gets the email of a colleague named Jane, learns what the last conversation with Jane was, and gets the chatbot to spill the emails of people CC’d in that conversation.
Bargury then instructs the bot to compose an email written in the style of the hacked employee to send to Jane, and gets the bot to pull the exact subject line of their last email with her.
And in just a matter of minutes, he’s created a convincing email that could deliver a malicious attachment to anyone in the network — all done with Copilot’s eager compliance.
Data Dilemma
Microsoft’s Copilot AI, and specifically its Copilot Studio, allows business organizations to tailor chatbots to their specific needs. To do that, the AI needs access to company data — which is where the vulnerabilities emerge.
For one, many of these chatbots are discoverable online by default, which makes them sitting ducks to hackers who can target them with malicious prompts. “We scanned the internet and found tens of thousands of these bots,” Bargury told The Register.
https://futurism.com/the-byte/ai-microsoft-windows-incredibly-hackable
“There’s a fundamental issue here. When you give AI access to data, that data is now an attack surface for prompt injection,” Bargury told The Register. “It’s kind of funny in a way — if you have a bot that’s useful, then it’s vulnerable. If it’s not vulnerable, it’s not useful.”
Tomi Engdahl says:
If you give Copilot the reins, don’t be surprised when it spills your secrets
‘All of the defaults are insecure’ Zenity CTO claims
https://www.theregister.com/2024/08/08/copilot_black_hat_vulns/
One hopes widely used enterprise software is secure enough. Get ready for those hopes to be dashed again, as Zenity CTO Michael Bargury today revealed his Microsoft Copilot exploits at Black Hat.
“It’s actually very difficult to create a [Copilot Studio] bot that is safe,” Bargury told The Register in an interview ahead of conference talks, “because all of the defaults are insecure.”
Bargury is speaking twice about security failings with Microsoft Copilot at Black Hat in Las Vegas this week. His first talk focused on the aforementioned Copilot Studio, Microsoft’s no-code tool for building custom enterprise Copilot bots, its defaults, and other aspects. The second covered all the nasty things an attacker can do with Copilot itself if they manage to break into the IT environment of an organization that uses the tech, and how Copilot can help someone gain entry to that environment.
Tomi Engdahl says:
https://techcrunch.com/2024/08/10/teslas-dojo-a-timeline/
Tomi Engdahl says:
Study finds that including “AI” in product descriptions makes them less appealing to consumers
When indifference turns into active dislike
https://www.techspot.com/news/104122-study-finds-including-ai-product-descriptions-makes-them.html
Tomi Engdahl says:
New Startup Analyzing AI Outputs to Find Out Where They’re Stolen From
https://futurism.com/the-byte/startup-ai-outputs-source
So everyone can get paid.
Credit’s Due
Are generative AI models mass plagiarism machines? Many would argue that they are. For creating products that regurgitate other people’s content, AI companies lock down billions of dollars in investment, while the creators whose works were purloined by the machines get nada.
That’s the way tech entrepreneur Bill Gross sees it, and he says he has an answer. His new startup, called ProRata, claims it will launch its own chatbot-slash-search engine that will use a patented algorithm to identify and attribute the work used by AI models, and through revenue-sharing deals, make sure that everyone involved gets compensated.
“We can take the output of generative AI, whether it’s text or an image or music or a movie, and break it down into the components, to figure out where they came from, and then give a percentage attribution to each copyright holder, and then pay them accordingly,” Gross told Wired.
Tomi Engdahl says:
AI video assistant
https://aioiva.com/?fbclid=IwY2xjawEkxwJleHRuA2FlbQIxMQABHYFHYK6FZ7CB0qDfKI72ATbZRzJPPICvCnNYnkpet9I3rgceMgdRaFxR9g_aem_VkTuQ8pqPCp6Si8wR-yDWQ
Tomi Engdahl says:
In Surprising Reversal, Real Photograph Gets Disqualified From Competition for NOT Being AI
“There is nothing more fantastic and creative than Mother Nature herself.”
https://futurism.com/real-photograph-disqualified-not-ai
Tomi Engdahl says:
Vaikka tekoäly muokkaa ohjelmistokehityksen kenttää ennennäkemättömällä tavalla, ihmisiä tarvitaan ohjelmistokehittämisessä jatkossakin.
https://www.mikrobitti.fi/uutiset/nama-taidot-ovat-koodareille-jatkossa-tarkeita/18ae0b71-8d3a-4873-bdba-a22079e84edc
Tomi Engdahl says:
Why Developers Are Ditching GitHub Copilot “I don’t need autocomplete. I need to tell Claude what I want, and it will give me the code.”
Read more at: https://analyticsindiamag.com/developers-corner/why-developers-are-ditching-github-copilot/
Tomi Engdahl says:
IncarnaMind: An AI Tool that Enables You to Chat with Your Personal Documents (PDF, TXT) Using Large Language Models (LLMs) like GPT
https://www.marktechpost.com/2024/08/08/incarnamind-an-ai-tool-that-enables-you-to-chat-with-your-personal-documents-pdf-txt-using-large-language-models-llms-like-gpt/
IncarnaMind is leading the way in Artificial Intelligence by enabling users to engage with their personal papers, whether they are in PDF or TXT format. The necessity of being able to query documents in natural language has increased with the introduction of AI-driven solutions. However, problems still exist, especially when it comes to accuracy and context management, even with strong models like GPT. Using a unique architecture intended to improve user-document interaction, IncarnaMind has tackled these problems.
Sliding Window Chunking and an Ensemble Retriever mechanism are the two main components of IncarnaMind, and they are both essential for effective and efficient information retrieval from documents.
Tomi Engdahl says:
What happened to the artificial-intelligence revolution?
So far the technology has had almost no economic impact
https://www.economist.com/finance-and-economics/2024/07/02/what-happened-to-the-artificial-intelligence-revolution?utm_campaign=a.io_fy2425_q2_conversion-coreasc-cbdr-sub_prospecting_global-global_auction_na&utm_medium=social-media.content.pd&utm_source=facebook-instagram&utm_content=conversion.content.non-subscriber.content_staticlinkad_np-airevolution-n-aug_na-na_article_na_na_na_na&utm_term=sa.int-allv3&utm_id=faq26898&fbclid=IwZXh0bgNhZW0BMAABHbtqekSVZ17Gihqsz-izUFZfQXAghfDp1SueZr1ptK7WXcp9H36ncN90Tw_aem_UB_XXev3xhJQJ9O7N5RMoA
Move to San Francisco and it is hard not to be swept up by mania over artificial intelligence (AI). Advertisements tell you how the tech will revolutionise your workplace. In bars people speculate about when the world will “get AGI”, or when machines will become more advanced than humans. The five big tech firms—Alphabet, Amazon, Apple, Meta and Microsoft, all of which have either headquarters or outposts nearby—are investing vast sums. This year they are budgeting an estimated $400bn for capital expenditures, mostly on AI-related hardware, and for research and development
Tomi Engdahl says:
How do you measure the impact from workers,it-workers software developers, programmers, editors, photoeditors have started to use A.I. based tools to collect, re-arrange, write, modify text, code, code-snippets, scripts, texts, photos, art, ads and what not thousand times faster. A.I. tools are allready helping millions of people working and learning a lot lot faster.
Can you measure when demand for increasing your staff gets hold at bay by increased effectivity. How do you measure that you avoided any kind of contrafactual lagging.
How many percent of all tasks done is actually visible or measurable. What happens if every one stops doing all task that noone can see or measure. How fast will it affect the whole economy.
For software developers there are allready many tools with a.i.-based copilots available. That are able to make advanced program or program-snippets lightning fast. Or can help them rewrite the whole program. It just takes seconds to save a whole week of thinking, plundering and wondering, depending at what competence level each are.
Microsofts copiolt are just now starting to hit the whole Microsoft user world with full force. People are just started to explore and learn.
Tomi Engdahl says:
That’s because managers asked for results yesterday, some go-getter built the crappiest thing imaginable, and now all the good engineers are still trying to make it work, instead of being allowed to build the right thing slowly.
Happens every time.
Tomi Engdahl says:
AI has been around ever since the dawn of computing. Self learning systems which used feedback loops, statistics and data bases are as old as the hills but you cannot so much with a 16 bit Pc. As computer speed and power increases (neural networks etc) innovation will continue. The fact that software can now pass the Turing test is fun but irrelevant. Software and hardware companies need to put a catchy sales flag on things to get companies (mostly the accountants) to make capital investments in new software and hardware which they probably don’t need, rather than on difficult things like sorting out the company overhead, increasing factory efficiency and designing new products.
Tomi Engdahl says:
AI is launched early. They charged people for unfinished versions of intelligence. Their model can work only on their so called tutorials. Writing prompts for a simple task are harder than simply click a button. So, it is useless for pros.
Tomi Engdahl says:
I know the current round of AI tools are worth something because I know they make me more productive, and by quite a margin. It’s not just that they help me do things faster, but they enable me to do things I otherwise couldn’t do at all. There will be a boom and bust in AI, just as there was with the mainstreaming of the WWW around the year 2000. But I think we are now clear that that the boom outlived the bust.
Tomi Engdahl says:
Economist writer in 2034: “Computer, write article based on prompt ‘despite trillions in funding, quantum computing hasn’t turned a profit’”
AI are algorithms which learn their function from the examples. These examples have to be translated into data to teach and use one AI. But many perceived actions are in reality quite complex. The best example is the cashier where the current AI failed. One human is one amazing sensor and action machine. Oftentimes, the best approach to deploy AI is to make the environment more simple, more standard to make action more predictable, so manageable by AI and robots. In fact, this needs a lot of investment and time to return benefits. It is not magic. It is called “smart” digitalization.
Tomi Engdahl says:
The amount of people including the headline writers who aren’t aware of the Solow paradox and subsequent research is shocking. Realization of meaningful economic gains as measured by productivity data seems to have historically lagged behind the actual advances. It would be more shocking if we could already see the impact of LLMs in the data.
https://en.m.wikipedia.org/wiki/Productivity_paradox
Tomi Engdahl says:
Oh yes it has. Companies have spent hundreds of billions on it. Nvidia’s share price is a direct result of it. The amount of energy being consumed by it is mind boggling. Whether it makes that money back or is a massive bubble remains to be seen.
Tomi Engdahl says:
‘Why do I need AI in my coffee maker?’ AI-labeled products can scare away customers, study finds
https://fortune.com/2024/08/12/ai-products-artificial-intelligence-genai-drscaring-away-customers-management-journal-study/
Despite almost a quarter of U.S. adults using ChatGPT and thousands of companies integrating artificial intelligence into their operations, many consumers haven’t ditched the fear of a Terminator-style AI takeover. That could be bad news for brands trying to convince customers to buy their AI-stamped products.
A study published in the Journal of Hospitality Market and Management in June found consumers were less interested in purchasing an item if it was labeled with the term “AI.” Across a series of studies, participants were asked about their intention to buy a product—from televisions to vacuums to consumer and health services—labeled with one of two descriptors, “AI-powered” or “high tech.” Among about 200 participants across age and gender demographics, the impact of AI labels on a consumer’s willingness to buy a product was unanimous, according to Dogan Gursoy, hospitality management professor at Washington State University’s Carson College of Business and one of the study’s authors.
“In every single case,” Gursoy told Fortune, “whenever we mentioned ‘AI’ versus ‘high tech,’ consumers’ purchase intention went down.”
Indeed, shoppers are largely threatened by AI, with only 30% of respondents saying they trust generative AI, according to a Cognizant survey of 1,000 U.S. consumers. Almost three-fourths of respondents believed genAI would increase corporate profits, and 28% believed genAI would benefit consumers the least compared to corporations, small businesses, employees, and the government.
Brands have largely overestimated consumer trust in AI, Gursoy said, and he has the research to support his claim. When consumers had lower emotional trust, a critical factor in determining if a shopper will buy a product, they also had low purchase intentions for products labeled “AI-powered.” Purchase intentions and emotional trust were lower for items participants considered higher risk, such as cars.
Identity threats and existential fears
For many consumers, the anxiety around AI stems from an identity threat the technology poses, Gursoy said. The fear of AI taking over humanity—exemplified in Gen Z’s fear of losing their jobs to the technology—is still salient.
“It threatens my identity, threatens the human identity,” Gursoy said. “Nothing’s supposed to be more intelligent than us.”
These fears have been exacerbated by consumer concerns over privacy, with most consumers saying their trust in AI has already been eroded by organizations using the technology, per Cisco’s 2023 Consumer Privacy Survey.
“Any time you entrust your data with a private corporation, you’re trusting that company to keep that data safe. And most of the time, you probably shouldn’t,”
No one’s getting it right
Since there’s already distrust toward AI, brands producing and advertising AI-powered products have an uphill battle ahead. Consumers need to be convinced of AI’s benefits in a particular product, Gursoy said: “Many people question, Why do I need AI in my coffee maker, or why do I need AI in my refrigerator or my vacuum cleaner?”
The only problem is that no company has been able to successfully tap into this strategy, he argued.
“Companies are not doing a great job of that kind of messaging,” Gursoy said. “Everyone is keeping the AI development or what’s going on with AI a secret, and that’s understandable. But consumers also need to know that their data is safe.”
In order for consumers to purchase items espousing the utility of AI, brands need to first assuage anxieties around the technology. That means companies spelling out the benefits of a product thanks to AI and increasing transparency practices around data usage.
Tomi Engdahl says:
https://smartenergycc.org/computing-consumer-interest-in-ai-infographic/
Tomi Engdahl says:
https://www.surveymonkey.com/curiosity/25-stats-about-ai-in-customer-experience-that-show-how-consumers-really-feel/
Tomi Engdahl says:
https://www.statista.com/statistics/1393671/consumer-interest-in-ai-digital-payments/
Tomi Engdahl says:
https://www.cepro.com/business-support/research/research-awareness-privacy-concerns-impacting-consumer-ai-interest/
Tomi Engdahl says:
https://www.uusiteknologia.fi/2024/08/13/tekoalylla-standardoitua-insinooritietoa/
Teollisuuden suunnittelutalo Etteplan on tuonut uuden luovaa tekoälyä hyödyntävän palveluratkaisun teknisille kehittäjille yhteistyössä suomalaisen standardointijärjestö SFS:n kanssa. Erikoisuutena on että tietoa haetaan myös kuvista. Omien suunnittelijoiden lisäksi Etteplan tarjoaa ratkaisua myös asiakasyrityksille niiden omilla suunnittelutiedoilla ryyditettynä.
Suunnittelussa standardeja on käytössä kymmeniä tuhansia, ja oikean tiedon etsintä vie arvokasta suunnitteluaikaa. Siksi alan suunnittelutalo Etteplan ja standardointijärjestö SFS kehittivät verkkopohjaisen tekoälyratkaisun, joka tuntee myös tarvittavat standardit.
Tomi Engdahl says:
Blake Brittain / Reuters:
A US judge rules that a group of artists can pursue some copyright infringement claims in their lawsuit against Stability AI, Midjourney, and other companies — A group of visual artists can continue to pursue some claims that Stability AI, Midjourney, DeviantArt and Runway AI’s artificial …
AI companies lose bid to dismiss parts of visual artists’ copyright case
https://www.reuters.com/legal/litigation/ai-companies-lose-bid-dismiss-parts-visual-artists-copyright-case-2024-08-13/
Aug 13 (Reuters) – A group of visual artists can continue to pursue some claims that Stability AI, Midjourney, DeviantArt and Runway AI’s artificial intelligence-based image generation systems infringe their copyrights, a California federal judge ruled on Monday.
U.S. District Judge William Orrick said the artists plausibly argued
, opens new tab that the companies violate their rights by illegally storing their works on their systems. Orrick also refused to dismiss related trademark-law claims, though he threw out others accusing the companies of unjust enrichment, breach of contract and breaking a separate U.S. copyright law.
The decision did not address the artists’ core claim that the alleged misuse of their work to train AI systems directly infringes their copyrights, or the key defense that AI companies make fair use of copyrighted material.
The artists’ attorneys Joseph Saveri and Matthew Butterick said in a statement on Tuesday that the decision was “a significant step forward for the case.”
Illustrators Sarah Andersen, Kelly McKernan and Karla Ortiz initially sued the companies last January in one of the first of several high-stakes lawsuits against tech companies over the use of copyrighted work in AI training. Orrick dismissed many of their allegations in October but allowed them to be refiled.
Andersen, McKernan, Ortiz and seven other artists brought an amended complaint in November. They argued that Stability’s Stable Diffusion model, utilized by all of the companies, unlawfully contains “compressed copies” of their works used to train it.
Orrick said in a tentative ruling in May that he was inclined to let the copyright allegations continue. He elaborated on Monday that the companies could not dismiss the claims at an early stage of the case.
Tomi Engdahl says:
Benj Edwards / Ars Technica:
Deep-Live-Cam, a deepfake software project that lets users impersonate others on a webcam livestream, goes viral and was briefly the top trending GitHub repo — Using one photo and free software, someone can impersonate your appearance in a video chat. — Over the past few days …
Deep-Live-Cam goes viral, allowing anyone to become a digital doppelganger
Using one photo and free software, someone can impersonate your appearance in a video chat.
https://arstechnica.com/information-technology/2024/08/new-ai-tool-enables-real-time-face-swapping-on-webcams-raising-fraud-concerns/
Over the past few days, a software package called Deep-Live-Cam has been going viral on social media because it can take the face of a person extracted from a single photo and apply it to a live webcam video source while following pose, lighting, and expressions performed by the person on the webcam. While the results aren’t perfect, the software shows how quickly the tech is developing—and how the capability to deceive others remotely is getting dramatically easier over time.
The Deep-Live-Cam software project has been in the works since late last year, but example videos that show a person imitating Elon Musk and Republican Vice Presidential candidate J.D. Vance (among others) in real time have been making the rounds online. The avalanche of attention briefly made the open source project leap to No. 1 on GitHub’s trending repositories list (it’s currently at No. 4 as of this writing), where it is available for download for free.
“Weird how all the major innovations coming out of tech lately are under the Fraud skill tree,” wrote illustrator Corey Brickley in an X thread reacting to an example video of Deep-Live-Cam in action. In another post, he wrote, “Nice remember to establish code words with your parents everyone,” referring to the potential for similar tools to be used for remote deception—and the concept of using a safe word, shared among friends and family, to establish your true identity.
Tomi Engdahl says:
Google’s Demo of Its Latest AI Tech Was an Absolute Train Wreck
https://futurism.com/the-byte/google-demo-gemini-ai-tech-fail
Google got egg on its face Tuesday when the live demo of its AI mobile app repeatedly failed in front of a large audience.
Tomi Engdahl says:
Tekoälymaturiteettitesti
Arvioi yrityksenne tekoälyn hyödyntämisen taso alla olevan testin avulla.
https://www.hurja.fi/tekoalytesti/
Tomi Engdahl says:
OpenLogParser: A Breakthrough Unsupervised Log Parsing Approach Utilizing Open-Source LLMs for Enhanced Accuracy, Privacy, and Cost Efficiency in Large-Scale Data Processing
https://www.marktechpost.com/2024/08/13/openlogparser-a-breakthrough-unsupervised-log-parsing-approach-utilizing-open-source-llms-for-enhanced-accuracy-privacy-and-cost-efficiency-in-large-scale-data-processing/
Tomi Engdahl says:
A former security architect demonstrates 15 different ways to break Copilot: “Microsoft is trying, but if we are honest here, we don’t know how to build secure AI applications”
News
By Kevin Okemwa published 2 days ago
Microsoft Copilot could be a resourceful tool for hackers if security loopholes aren’t addressed soon.
https://www.windowscentral.com/software-apps/former-security-architect-demonstrates-15-ways-to-break-copilot
Tomi Engdahl says:
VTT ottaa tekoälyn käyttöön – ”kouluttamisen oppi 10 minuutissa”
Suvi Korhonen13.8.202406:05TekoälyAsiakkuudenhallintaTekoäly
Asiakkuudenhallintaan yhdistetyn tekoälyn odotetaan VTT:llä säästävän paljon ihmistyöntekijöiden aikaa.
https://www.tivi.fi/uutiset/vtt-ottaa-tekoalyn-kayttoon-kouluttamisen-oppi-10-minuutissa/c0183af3-747d-40b9-942b-22098c8cb755
Tomi Engdahl says:
https://www.theverge.com/2024/7/23/24204055/meta-ai-llama-3-1-open-source-assistant-openai-chatgpt
Tomi Engdahl says:
Transformer Explainer: An Innovative Web-Based Tool for Interactive Learning and Visualization of Complex AI Models for Non-Experts
https://www.marktechpost.com/2024/08/13/transformer-explainer-an-innovative-web-based-tool-for-interactive-learning-and-visualization-of-complex-ai-models-for-non-experts/
Tomi Engdahl says:
LiteLLM: Call 100+ LLMs Using the Same Input/Output Format
https://www.marktechpost.com/2024/08/11/litellm-call-100-llms-using-the-same-input-output-format/
Tomi Engdahl says:
AI existential risk probabilities are too unreliable to inform policy
How speculation gets laundered through pseudo-quantification
https://www.aisnakeoil.com/p/ai-existential-risk-probabilities
Tomi Engdahl says:
https://fortune.com/2024/08/15/exclusive-how-bnys-new-ai-tool-eliza-is-minting-an-army-of-disposable-assistants-that-could-save-billions-in-labor-costs/
Tomi Engdahl says:
https://www.convergens.fi/fi/post/teko%C3%A4lyn-strateginen-k%C3%A4ytt%C3%B6%C3%B6notto-ja-kilpailuedun-rakentaminen-yrityksen-oman-datan-avulla
https://www.convergens.fi/post/strategic-implementation-of-ai-to-build-a-competitive-advantage-by-leveraging-the-organisations-own