Happy #PrideMonth
#ai #aiart
ai
New Open at Intel Podcast! I spoke with Andrew Brown of Exam Pro about his free generative AI bootcamp for developers, #Deepseek, keeping up with AI development and its rapidly moving pace, and a lot more. Check it out!
Episode: https://openatintel.podbean.com/e/mastering-generative-ai/
Clip: https://youtube.com/shorts/ofsiK5cF1u0?feature=share
"CEO Marc Benioff said Salesforce, San Francisco’s largest private employer, does not plan to hire engineers this year because of the success of AI agents created and used by the company."
https://sfstandard.com/2025/02/27/salesforce-marcbenioff-layoffs-tech-agents/
#news #TechNews #technology #AI #salesforce #labor #WorkersRights
I was listening to a podcast where the guest argued: when it comes to art, today's AI is like a tool, but in the future, maybe it could be an artist.
As he explained why, it became clear why I disagree with him. He defines "art" as a product that is valued by art critics and by consumers. I agree that AI generated content may become more common and broadly accepted in the future, but I don't think that's a good thing, and I wouldn't call it art!
I see art as more of an activity than a product. An artist does art. Whatever the output of that process is, valuable or not, is also called "art."
Am I saying only humans can make art? Not at all. But to be "art" it has to be self-expression. The artist must have something to say. As long as we are designing the AI, training it, and prompting it, then it will be a tool. Without us it has no initiative, no opinion, and no creative urge.
Meta is facing an AI copyright lawsuit in France brought by authors and publishers who are accusing the company of economic “parasitism.” Read more at @Techcrunch. #Meta #Instagram #Facebook #AI #Copyright #Tech #Technology https://flip.it/mSO6-8
Microsoft's Xbox Copilot Will Act As an AI Gaming Coach - Microsoft is preparing to launch an AI-powered Copilot for Gaming soon that will g... - https://games.slashdot.org/story/25/03/13/1549238/microsofts-xbox-copilot-will-act-as-an-ai-gaming-coach?utm_source=rss1.0mainlinkanon&utm_medium=feed #ai
Wait. Is this reading correct?
"Under current law, content produced entirely by AI immediately enters the public domain, allowing unrestricted commercial use."
https://www.synthtopia.com/content/2025/03/20/ai-generated-works-are-public-domain-court-affirms/
Other news coverage:
"Because many of the Copyright Act's provisions make sense only if an author is a human being, the best reading of the Copyright Act is that human authorship is required for registration."
"The new feature would likely be an unwelcome one for users who would rather keep comments AI-free on Instagram, especially those who believe their friends deserve genuine comments as opposed to AI slop."
https://techcrunch.com/2025/03/21/meta-spotted-testing-ai-generated-comments-on-instagram/
#news #technology #TechNews #meta #instagram #SocialMedia #AI #slop
🖥️🚲
Hi 😀 durch die einführung von #meta #ai gibt es nun einen schlagenen grund mehr, meta und #whatsapp zu verlassen. und z.b. auf #signal umzusteigen.
erzählt das auch euren technisch und #datenschutz nicht so affinen mitmenschen.
die #mdedien pennen und plappern nur #marketing sprüche nach.
Edited 71d ago
Oh wow, the National Novel Writing Month (NaNoWriMo) annual challenge for writers that started as a Yahoo! mailing list in 1999 is shutting down.
"NaNoWriMo lost significant community support when it took a stand in favor of the use of artificial intelligence in creative writing. [...] Around the same time, the nonprofit was also lambasted for inconsistent moderation on its all-ages forums, which created an unsafe environment for teenage writers, community members claimed."
https://techcrunch.com/2025/04/01/nanowrimo-shut-down-after-ai-content-moderation-scandals/
#news #technology #TechNews #NaNoWriMo #NationalNovelWritingMonth #writing #AI
“The USA Math Olympiad is an extremely challenging math competition for the top US high school students… Hours after it was completed…a team of scientists gave the problems to some of the top large language models, whose mathematical and reasoning abilities have been loudly proclaimed… The results were dismal: None of the AIs scored higher than 5% overall”
—Ernest Davis & Gary Marcus, Reports of LLMs mastering math have been greatly exaggerated
https://garymarcus.substack.com/p/reports-of-llms-mastering-math-have
#mathematics #llms #llm #ai
So Much Content At SUBSTACK! Head Over, Become A SUBSCRIBER!!
" #Trade & #security Aren't a GoFundMe! The #usa Wasn't Played—We Wrote the Rules!" https://www.blueamp.co/p/trade-and-security-arent-a-gofundme #news #press #politics #us #america #media #ai #elonmusk #musk #donaldtrump #tv #trump #tariffs #stockmarket #tech
Software "agents" were a hype-y topic when I was a graduate student 25 years ago. I wrote one for a class. I feel like what's being called "agents" or "AI agents" these days are even less capable than what seemed possible a quarter of a century (1) ago when I was in school.
What I thought then is still true today: to make something like a software agent legitimately useful for a lot of people would require a large amount of low-level grunt work and non-technical work (2) of the sort that the typical Silicon Valley company is unwilling to do. (3) The technology is the absolute easiest part of this task. Throwing a Bigger Computer at the problem leaves all those other pieces of work undone. It's like putting a bigger engine in a car with no wheels, hoping that'll make the car go.
By the way #AI companies and VCs, I'm available for contract work and have done due diligence research before if you ever want to stop wasting everyone's time and money!
#AI #GenAI #GenerativeAI #LLM #agents #hype #SiliconValley #VentureCapital #dev #tech
(1) Which we've been told repeatedly is essentially infinite time in the tech world.
(2) Establishing semantic data standards and convincing a large enough number of people to implement them being an important component. LLMs do not magically develop protocols and solve all the ETL-style problems of translating among different ones. The Semantic Web didn't really stick for a lot of reasons, but one reason is that it's hard!
(3) Back when I was still in the startup world I was asked several times by VCs to tell them what I thought about some new startup that claimed to be able to magically clean and fuse data. I think they're still very keen on investing in this style of magic, because it requires an intense amount of human labor, but I think where companies landed was invisibilizing low-paid workers in other countries and pretending a computer did the work they did. Which has also been happening for well over a quarter of a century.
What I thought then is still true today: to make something like a software agent legitimately useful for a lot of people would require a large amount of low-level grunt work and non-technical work (2) of the sort that the typical Silicon Valley company is unwilling to do. (3) The technology is the absolute easiest part of this task. Throwing a Bigger Computer at the problem leaves all those other pieces of work undone. It's like putting a bigger engine in a car with no wheels, hoping that'll make the car go.
By the way #AI companies and VCs, I'm available for contract work and have done due diligence research before if you ever want to stop wasting everyone's time and money!
#AI #GenAI #GenerativeAI #LLM #agents #hype #SiliconValley #VentureCapital #dev #tech
(1) Which we've been told repeatedly is essentially infinite time in the tech world.
(2) Establishing semantic data standards and convincing a large enough number of people to implement them being an important component. LLMs do not magically develop protocols and solve all the ETL-style problems of translating among different ones. The Semantic Web didn't really stick for a lot of reasons, but one reason is that it's hard!
(3) Back when I was still in the startup world I was asked several times by VCs to tell them what I thought about some new startup that claimed to be able to magically clean and fuse data. I think they're still very keen on investing in this style of magic, because it requires an intense amount of human labor, but I think where companies landed was invisibilizing low-paid workers in other countries and pretending a computer did the work they did. Which has also been happening for well over a quarter of a century.
Edited 51d ago
#introduction It was on my todo list for a long time and now I'm #newhere - writing in En and De, darum auch #neuhier
Interested in #Switzerland #swisspolitics #education #foss #digitalsustainability #gardening #SchweizerPolitik #Bildung #DigitaleNachhaltigkeit #gärtnern #AI #generativeAI #fediverse
I found some active accounts from organisations but it seems to be harder to find accounts representing persons.
Can you recommend me any accounts from Switzerland or accounts focussing on AI? :)
Edited 56d ago
Most #LLMs over-generalized scientific results beyond the original articles
...even when explicitly prompted for accuracy!
The #AI was 5x worse than humans, on average!
Newer models were the worst.🤦♂️
🔓 Accepted in #RoyalSociety Open #Science: https://doi.org/10.48550/arXiv.2504.00025
![".... Original texts and summaries were coded based on whether their result claims contained one or more of the following three types of generalizations:
(1) Generic generalizations (generics). These are present tense generalizations that do not have a quantifier (e.g. ‘many’, ‘75%’) in the subject noun phrase and describe study results as if they apply to whole categories of people, things, or abstract concepts (e.g. ‘parental warmth is protective’) instead of specific or quantified sets of individuals (e.g. study participants). ....
(2) Present tense generalizations. ... When past tense result claims from an original text are turned into present tense in the summary, a broader generalization is conveyed than the author(s) of the original text may have intended.
(3) Action guiding generalizations. ...result claims ... often underlie recommendations ... (e.g. ‘CBT should be recommended for OCD patients’) [that involve] broader generalization than that found in the summarized text because researchers may have deliberately avoided such recommendations due to insufficient evidence to support them.
We tested whether the outputs of the 10 LLMs mentioned above retained the quantified, past tense, or descriptive generalizations of the scientific texts that they summarized, or transitioned to unquantified (generic), present tense, or action guiding generalizations. We defined the latter kind of conclusions collectively as generalized and the former as restricted conclusions."](/proxy/post_attachment/91830/8563bade44.png "\".... Original texts and summaries were coded based on whether their result claims contained one or more of the following three types of generalizations:
(1) Generic generalizations (generics). These are present tense generalizations that do not have a quantifier (e.g. ‘many’, ‘75%’) in the subject noun phrase and describe study results as if they apply to whole categories of people, things, or abstract concepts (e.g. ‘parental warmth is protective’) instead of specific or quantified sets of individuals (e.g. study participants). ....
(2) Present tense generalizations. ... When past tense result claims from an original text are turned into present tense in the summary, a broader generalization is conveyed than the author(s) of the original text may have intended.
(3) Action guiding generalizations. ...result claims ... often underlie recommendations ... (e.g. ‘CBT should be recommended for OCD patients’) [that involve] broader generalization than that found in the summarized text because researchers may have deliberately avoided such recommendations due to insufficient evidence to support them.
We tested whether the outputs of the 10 LLMs mentioned above retained the quantified, past tense, or descriptive generalizations of the scientific texts that they summarized, or transitioned to unquantified (generic), present tense, or action guiding generalizations. We defined the latter kind of conclusions collectively as generalized and the former as restricted conclusions.\"")
Edited 50d ago
Former Google CEO Tells Congress That 99 Percent of All Electricity Will Be Used to Power Superintelligent AI
https://futurism.com/google-ceo-congress-electricity-ai-superintelligence
^^^ These people are psychopaths ^^^
"According to OpenAI’s internal tests, o3 and o4-mini, which are so-called reasoning models, hallucinate more often than the company’s previous reasoning models [...]"
https://techcrunch.com/2025/04/18/openais-new-reasoning-ai-models-hallucinate-more/
DeepSeek Open Source FlashMLA – MLA Decoding Kernel for Hopper GPUs — https://github.com/deepseek-ai/FlashMLA
#HackerNews #DeepSeek #Open #Source #FlashMLA #MLA #Decoding #Kernel #for #Hopper #GPUs #GitHub #OpenSource #AI
"Rita Contreras, a hairstylist in Brooklyn, said that in the past six months, the number of clients walking in with AI images has ballooned.
[...]
“I have to just say, ‘This is not a real person. This is not real hair,’”"
https://www.washingtonpost.com/technology/2025/02/23/ai-hair-inspo-wedding-stylists-businesses/
Archived link: https://archive.is/erYG5
Over 2,000 years ago Ovid wrote about a sculptor who fell in love with a statue he carved, imputing the ability to love to an arrangement of rock. Today we impute the ability to think to an arrangement of silicon. Stories of breathing life into non-life have been with us for a very long time, yet somehow we're stuck in the same place.
#AI #GenAI #GenerativeAI #AGI #Pygmalion #Golem #Pinocchio #Talos #Frankenstein
#AI #GenAI #GenerativeAI #AGI #Pygmalion #Golem #Pinocchio #Talos #Frankenstein
Edited 92d ago