Finding Live Music Performances
April 5, 2024
This essay is the work of a dumb dinobaby. No smart software required.
Here is a niche search category some of our readers will appreciate. Lifehacker shares “The Best Ways to Find Live Gigs for Music You Love.” Writer David Nield describes how one can tap into a combination of sources to stay up to date on upcoming music events. He begins:
“More than once I’ve missed out on shows in my neighborhood put on by bands I like, just because I’ve been out of the loop. Whether you don’t want to miss gigs by artists you know, or you’re keen to get out and discover some new music, there are lots of ways to stay in touch with the live shows happening in your area—you need never miss a gig again. Pick the one(s) that work best for you from this list.”
First are websites dedicated to spreading the musical word, like Songkick and Bandsintown. One can sign up for notices or simply browse the site by artist or location. These sites can also use one’s listening data from streaming apps to inform their results. Or one can go straight to the source and follow artists on social media or their own websites (but that can get overwhelming if one enjoys many bands). Several music apps like Spotify and Deezer will notify you of upcoming concerts and events for artists you choose. Finally, YouTube lists tour details and ticket links beneath videos of currently touring bands, highlighting events near you. If, that is, you have chosen to share your location with the Google-owned site.
Cynthia Murrell, April 5, 2024
McKinsey & Co. Emits the Message “You Are No Longer the Best of the Best”
April 4, 2024
This essay is the work of a dumb dinobaby. No smart software required.
I love blue chip consulting firms’ management tactics. I will not mention the private outfits which go public and then go private. Then the firms’ “best of the best” partners decide to split the firm. Wow. Financial fancy dancing or just evidence that “best of the best” is like those plastic bottles killing off marine life?
I read “McKinsey Is so Eager to Trim Staff That It’s Offering Some Employees 9 Months’ Pay to Go and Do Something Else. I immediately asked myself, “What’s some mean?” I am guessing based on my experience that “all” of the RIF’ed staff are not getting the same deal. Well, that’s life in the exciting world of the best and the brightest. Some have to accept that there are blue chippers better and, therefore, able to labor enthusiastically at a company known as the Big Dog in the consulting world.
Thanks MSFT Copilot. (How’s your security today?)
The write up reports as “real” NY news:
McKinsey is attempting to slim the company down in a caring and supporting way by paying its workers to quit.
Hmmm. “Attempting” seems an odd word for a consulting firm focused on results. One slims down or one remains fat and prone to assorted diseases if I understood my medical professional. Is McKinsey signaling that its profit margin is slipping like the trust level for certain social media companies? Or is artificial intelligence the next big profit making thing; therefore, let’s clear out the deadwood and harvest the benefits of smart software unencumbered by less smart humans?
Plus, the formerly “best and brightest” will get help writing their résumés. My goodness, imagine a less good Type A super achiever unable to write a résumé. But just yesterday those professionals were able to advise executives often with decades more experience, craft reports with asterisk dot points, and work seven days a week. These outstanding professionals need help writing their résumés. This strikes me as paternalistic and a way to sidestep legal action for questionable termination.
Plus, the folks given the chance to find their future elsewhere (as long as the formerly employed wizard conforms to McKinsey’s policies about client poaching) can allegedly use their McKinsey email accounts. What might a person who learns he or she is no longer the best of the best might do with a live McKinsey email account? I have a couple of people on my research team who have studied mischief with emails. I assume McKinsey’s leadership knows a lot more than my staff. We don’t pontificate about pharmaceutical surfing; we do give lectures to law enforcement and intelligence professionals. Therefore, my team knows much, much less about the email usage that McKinsey management.
Deloitte, another blue chip outfit, is moving quickly into the AI space. I have heard that it wants to use AI and simultaneously advise its clients about AI. I wonder if Deloitte has considered that smart software might be marginally less expensive than paying some of the “best of the best” to do manual work for clients? I don’t know.
The blue chip outfit at which I worked long ago was a really humane place. Those rumors that an executive drowned a loved one were just rumors. The person was a kind and loving individual with a raised dais in his office. I recall I hard to look up at him when seated in front of his desk. Maybe that’s just an AI type hallucination from a dinobaby. I do remember the nurturing approach he took when pointing at a number and demanding the VP presenting the document, “I want to know where that came from now.” Yes, that blue chip professional was patient and easy going as well.
I noted this passage in the Fortune “real” NY news:
A McKinsey spokesperson told Fortune that its unusual approach to layoffs is all part of the company’s core mission to help people ‘learn and grow into leaders, whether they stay at McKinsey or continue their careers elsewhere.’
I loved the sentence including the “learn and grow into leaders” verbiage. I am imagining a McKinsey HR professional saying, “Remember when we recruited you? We told you that you were among the top one percent of the top one percent. Come on. I know you remember? Oh, you don’t remember my assurances of great pay, travel, wonderful colleagues, tremendous opportunities to learn, and build your interpersonal skills. Well, that’s why you have been fired. But you can use your McKinsey email. Please, leave now. I have billable work to do that you obviously were not able to undertake and complete in a satisfactory manner. Oh, here’s your going away gift. It is a T shirt which says, ‘Loser@mckinsey.com.’”
Stephen E Arnold, April 4, 2024
Yeah, Stability at Stability AI: Will Flame Outs Light Up the Bubble?
April 4, 2024
This essay is the work of a dumb dinobaby. No smart software required.
I read “Inside the $1 Billion Love Affair between Stability AI’s Complicated Founder and Tech Investors Coatue and Lightspeed—And How It Turned Bitter within Months.” Interesting but, from my point of view, not surprising. High school science club members, particularly when preserving some of their teeny bopper ethos into alleged adulthood can be interesting people. And at work, exciting may be a suitable word. The write up’s main idea is that the wizard “left home in his pajamas.” Well, that’s a good summary of where Stability AI is.
The high school science club finds itself at odds with a mere school principal. The science club student knows that if the principal were capable, he would not be a mere principal. Thanks, MSFT Copilot. Were your senior managers in a high school science club?
The write up points out that Stability was the progenitor of Stable Diffusion, the art generator. I noticed the psycho-babbly terms stability and stable. Did you? Did the investors? Did the employees? Answer: Hey, there’s money to be made.
I noted this statement in the article:
The collaborative relationship between the investors and the promising startup gradually morphed into something more akin to that of a parent and an unruly child as the extent of internal turmoil and lack of clear direction at Stability became apparent, and even increased as Stability used its funding to expand its ranks.
Yep, high school management methods: “Don’t tell me what to do. I am smarter than you, Mr. Assistant Principal. You need me on the Quick Recall team, so go away,” echo in my mind in an Ezoic AI voice.
The write up continued the tale of mismanagement and adolescent angst, quoting the founder of Stability AI:
“Nobody tells you how hard it is to be a CEO and there are better CEOs than me to scale a business,” Mostaque said. “I am not sure anyone else would have been able to build and grow the research team to build the best and most widely used models out there and I’m very proud of the team there. I look forward to moving onto the next problem to handle and hopefully move the needle.”
I interpreted this as, “I did not know that calcium carbide in the lab sink drain could explode when in contact with water and then ignited, Mr. Principal.”
And, finally, let me point out this statement:
Though Stability AI’s models can still generate images of space unicorns and Lego burgers, music, and videos, the company’s chances of long-term success are nothing like they once appeared. “It’s definitely not gonna make me rich,” the investor says.
Several observations:
- Stability may presage the future for other high-flying and low-performing AI outfits. Why? Because teen management skills are problematic in a so-so economic environment
- AI is everywhere and its value is now derived by having something that solves a problem people will pay to have ameliorated. Shiny stuff fresh from the lab won’t make stakeholders happy
- Discipline, particularly in high school science club members, may not be what a dinobaby like me would call rigorous. Sloppiness produces a mess and lost opportunities.
Net net: Ask about a potential employer’s high school science club memories.
Stephen E Arnold, April 4, 2024
Publishers and Libraries: Tensions Escalate
April 4, 2024
This essay is the work of a dumb dinobaby. No smart software required.
We doubt this is what Ben Franklin had in mind. With more and more readers turning to digital editions, ABC News reports, “Libraries Struggle to Afford the Demand for E-Books, Seek New State Laws in Fight with Publishers.” With physical books, the process of building a library collection is simple: a volume is purchased (or donated) then loaned out repeatedly until it is lost or disintegrates. But publishers have made the process for ebooks much more complicated. And costly. Journalist Susan Haigh writes:
“The digital titles often come with a price tag that’s far higher than what consumers pay. While one hardcover copy of [Robin] Cook’s latest novel costs the library $18, it costs $55 to lease a digital copy — a price that can’t be haggled with publishers. And for that, the e-book expires after a limited time, usually after one or two years, or after 26 checkouts, whichever comes first. While e-books purchased by consumers can last into perpetuity, libraries need to renew their leased e-material. The modestly funded West Haven Library has spent more than $12,000 over the last three years to lease just 276 additional digital titles beyond what patrons can access through a consortium of public libraries. Eighty-four of those books are no longer available. If that same amount had been spent on paper books, it would have covered about 800 titles. … Publishers, however, argue the arrangement is fair considering e-book licenses for libraries allow numerous patrons to ‘borrow’ them and the per-reader cost is much less expensive than the per-reader rate.”
Well,yes, that is how public libraries work. Or it used to be. Will publishers come for hard copies next? Librarians across the US are pushing for legislation to counter these trends, and bills have been proposed in several states. Any that get passed, though, will have to make it through Big Publishing’s legal challenges. See the write-up for some lawmakers’ strategies to do so. Will libraries, and the taxpayers that fund them, prevail over these corporations? Stay tuned.
Cynthia Murrell, April 4, 2024
Preligens: An Important French AI Intelware Vendor May Be for Sale
April 3, 2024
This essay is the work of a dumb dinobaby. No smart software required.
I profiled Preligens (formerly Earthcube), the French specialized software firm with quite remarkable smart software, in one of my lectures a couple of years ago. Preligens processes satellite imagery and uses its home-brew AI system to identify objects. When I was in Paris last year, I spoke with some of my former colleagues at Exalead (now a unit of Dassault Systèmes), acquaintances from my pre-retirement travels, and some individuals I met online. I picked up a couple of rumors. One was that Preligens had tuned its system to monitor the license tags and vehicle models of cars, busses, and trucks. When a vehicle made too many passes in front of a structure of interest, Preligens’ AI would note that event and send an alert. I am reluctant to include the screenshots of the capabilities of the Preligens’ system. When I presented information about the company at my law enforcement lectures, several people investigating big-money yachts asked for the company’s Web site. I could not provide a point of contact because one of Preligens’ sales professionals replied to me via email and then disappeared. Oh, well.
Thanks, MSFT Copilot. I asked for lights from the corner window. But no, MSFT knows best. So good enough.
Why am I mentioning a French outfit founded in 2016 when the buzz is emanating from Mistral, a hot AI startup?
One of the items of unsubstantiated information I picked up was that the company needed money, and it was for sale. I spotted “Preligens Announces Surrender And Issues Call For Bids For Acquisition” in one of my feeds. The write seemed to corroborate what I heard as rumor in Paris; namely, the company is for sale. The write up says in what appears to be machine-translated French:
…the founders of Preligens, Arnaud Guérin and Renaud Allioux, turned to Jean-Yves Courtois last year – appointing him president of the company – in the hope of turning things around….The echoes reports that Jean-Yves Courtois has launched a call for tenders from around twenty players for its takeover and hopes for tender submissions in mid-April. Thales and Safran also seem to have entered the race.
The challenge for Preligens is that the company is tightly bound to the French military and it is going to consummate a deal unless the buyer is an outfit which passes the scrutiny of the French bureaucracy. As one US government agency learned a couple of years ago, Preligens would not sell all or part of the company to a US buyer. The Franco-American kumbaya sounds good, but when it comes to high-value AI technology, the progress of the discussions moved like traffic around the Arc de Triomphe right after Bastille Day. (You absolutely must watch the Légion étrangère troop. Magnificent, slow, and a reminder that one does not fool around with dudes wearing aprons and kepis.)
A deal can be crafted, but it will take work. The Preligens’ AI system is outstanding and extensible to a number of intelware and policeware use cases. There are some videos on YouTube plus the firm’s Web site if you want more information. The military-oriented information is not on those public sources. If you see me at an appropriate conference, I may let you look through my presentation about identifying submarine pens in an area quite close to a US friendly nation. Oh, the submarine pen was previously unknown prior to Preligens’ smart software knitting together data from satellite imagery. That is impressive, but the system was able to estimate the size of the pen. Very cool.
Stephen E Arnold, April 3, 2024
Angling to Land the Big Google Fish: A Humblebrag Quest to Be CEO?
April 3, 2024
This essay is the work of a dumb dinobaby. No smart software required.
My goodness, the staff and alums of DeepMind have been in the news. Wherever there are big bucks or big buzz opportunities, one will find the DeepMind marketing machinery. Consider “Can Demis Hassabis Save Google?” The headline has two messages for me. The first is that a “real” journalist things that Google is in big trouble. Big trouble translates to stakeholder discontent. That discontent means it is time to roll in a new Top Dog. I love poohbahing. But opining that the Google is in trouble. Sure, it was aced by the Microsoft-OpenAI play not too long ago. But the Softies have moved forward with the Mistral deal and the mysterious Inflection deal . But the Google has money, market share, and might. Jake Paul can say he wants the Mike Tyson death stare. But that’s an opinion until Mr. Tyson hits Mr. Paul in the face.
The second message in the headline that one of the DeepMind tribe can take over Google, defeat Microsoft, generate new revenues, avoid regulatory purgatory, and dodge the pain of its swinging door approach to online advertising revenue generation; that is, people pay to get in, people pay to get out, and soon will have to subscribe to watch those entering and exiting the company’s advertising machine.
Thanks, MSFT Copilot. Nice fish.
What are the points of the essay which caught my attention other than the headline for those clued in to the Silicon Valley approach to “real” news? Let me highlight a few points.
First, here’s a quote from the write up:
Late on chatbots, rife with naming confusing, and with an embarrassing image generation fiasco just in the rearview mirror, the path forward won’t be simple. But Hassabis has a chance to fix it. To those who known him, have worked alongside him, and still do — all of whom I’ve spoken with for this story — Hassabis just might be the perfect person for the job. “We’re very good at inventing new breakthroughs,” Hassabis tells me. “I think we’ll be the ones at the forefront of doing that again in the future.”
Is the past a predictor of future success? More than lab-to-Android is going to be required. But the evaluation of the “good at inventing new breakthroughs” is an assertion. Google has been in the me-too business for a long time. The company sees itself as a modern Bell Labs and PARC. I think that the company’s perception of itself, its culture, and the comments of its senior executives suggest that the derivative nature of Google is neither remembered nor considered. It’s just “we’re very good.” Sure “we” are.
Second, I noted this statement:
Ironically, a breakthrough within Google — called the transformer model — led to the real leap. OpenAI used transformers to build its GPT models, which eventually powered ChatGPT. Its generative ‘large language’ models employed a form of training called “self-supervised learning,” focused on predicting patterns, and not understanding their environments, as AlphaGo did. OpenAI’s generative models were clueless about the physical world they inhabited, making them a dubious path toward human level intelligence, but would still become extremely powerful. Within DeepMind, generative models weren’t taken seriously enough, according to those inside, perhaps because they didn’t align with Hassabis’s AGI priority, and weren’t close to reinforcement learning. Whatever the rationale, DeepMind fell behind in a key area.
Google figured something out and then did nothing with the “insight.” There were research papers and chatter. But OpenAI (powered in part by Sam AI-Man) used the Google invention and used it to carpet bomb, mine, and set on fire Google’s presumed lead in anything related to search, retrieval, and smart software. The aftermath of the Microsoft OpenAI PR coup is a continuing story of rehabilitation. From what I have seen, Google needs more time getting its ageingbody parts working again. The ad machine produces money, but the company reels from management issue to management issue with alarming frequency. Biased models complement spats with employees. Silicon Valley chutzpah causes neurological spasms among US and EU regulators. Something is broken, and I am not sure a person from inside the company has the perspective, knowledge, and management skills to fix an increasingly peculiar outfit. (Yes, I am thinking of ethnically-incorrect German soldiers loyal to a certain entity on Google’s list of questionable words and phrases.)
And, lastly, let’s look at this statement in the essay:
Many of those who know Hassabis pine for him to become the next CEO, saying so in their conversations with me. But they may have to hold their breath. “I haven’t heard that myself,” Hassabis says after I bring up the CEO talk. He instantly points to how busy he is with research, how much invention is just ahead, and how much he wants to be part of it. Perhaps, given the stakes, that’s right where Google needs him. “I can do management,” he says, ”but it’s not my passion. Put it that way. I always try to optimize for the research and the science.”
I wonder why the author of the essay does not query Jeff Dean, the former head of a big AI unit in Mother Google’s inner sanctum about Mr. Hassabis? How about querying Mr. Hassabis’ co-founder of DeepMind about Mr. Hassabis’ temperament and decision-making method? What about chasing down former employees of DeepMind and getting those wizards’ perspective on what DeepMind can and cannot accomplish.
Net net: Somewhere in the little-understood universe of big technology, there is an invisible hand pointing at DeepMind and making sure the company appears in scientific publications, the trade press, peer reviewed journals, and LinkedIn funded content. Determining what’s self-delusion, fact, and PR wordsmithing is quite difficult.
Google may need some help. To be frank, I am not sure anyone in the Google starting line up can do the job. I am also not certain that a blue chip consulting firm can do much either. Google, after a quarter century of zero effective regulation, has become larger than most government agencies. Its institutional mythos creates dozens of delusional Ulysses who cannot separate fantasies of the lotus eaters from the gritty reality of the company as one of the contributors to the problems facing youth, smaller businesses, governments, and cultural norms.
Google is Googley. It will resist change.
Stephen E Arnold, April 3, 2024
India: AI, We Go This Way, Then We Go That Way
April 3, 2024
This essay is the work of a dumb dinobaby. No smart software required.
In early March 2024, the India said it would require all AI-related projects still in development receive governmental approval before they were released to the public. India’s Ministry of Electronics and Information Technology stated it wanted to notify the public of AI technology’s fallacies and its unreliability. The intent was to label all AI technology with a “consent popup” that informed users of potential errors and defects. The ministry also wanted to label potentially harmful AI content, such as deepfakes, with a label or unique identifier.
The Register explains that it didn’t take long for the south Asian country to rescind the plan: “India Quickly Unwinds Requirement For Government Approval Of AIs.” The ministry issued a update that removed the requirement for government approval but they did add more obligations to label potentially harmful content:
"Among the new requirements for Indian AI operations are labelling deepfakes, preventing bias in models, and informing users of models’ limitations. AI shops are also to avoid production and sharing of illegal content, and must inform users of consequences that could flow from using AI to create illegal material.”
Minister of State for Entrepreneurship, Skill Development, Electronics, and Technology Rajeev Chandrasekhar provided context for the government’s initial plan for approval. He explained it was intended only for big technology companies. Smaller companies and startups wouldn’t have needed the approval. Chandrasekhar is recognized for his support of boosting India’s burgeoning technology industry.
Whitney Grace, April 3, 2024
Google AI Has a New Competitive Angle: AI Is a Bit of Problem for Everyone Except Us, Of Course
April 2, 2024
This essay is the work of a dumb dinobaby. No smart software required.
Google has not recovered from the MSFT Davos PR coup. The online advertising company with a wonderful approach to management promptly did a road show in Paris which displayed incorrect data. Next the company declared a Code Red emergency (whatever that means in an ad outfit). Then the Googley folk reorganized by laterally arabesque-ing Dr. Jeff Dean somewhere and putting smart software in the hands of the DeepMind survivors. Okay, now we are into Phase 2 of the quantumly supreme company’s push into smart software.
An unknown person in Hyde Park at Speaker’s Corner is explaining to the enthralled passers by that “AI is like cryptocurrency.” Is there a face in the crowd that looks like the powerhouse behind FTX? Good enough, MSFT Copilot.
A good example of this PR tactic appears in “Google DeepMind Co-Founder Voices Concerns Over AI Hype: ‘We’re Talking About All Sorts Of Things That Are Just Not Real’.” Some additional color similar to that of sour grapes appears in “Google’s DeepMind CEO Says the Massive Funds Flowing into AI Bring with It Loads of Hype and a Fair Share of Grifting.”
The main idea in these write ups is that the Top Dog at DeepMind and possible candidate to take over the online ad outfit is not talking about ruing the life of a Go player or folding proteins. Nope. The new message, as I understand it, AI is just not that great. Here’s an example of the new PR push:
The fervor amongst investors for AI, Hassabis told the Financial Times, reminded him of “other hyped-up areas” like crypto. “Some of that has now spilled over into AI, which I think is a bit unfortunate,” Hassabis told the outlet. “And it clouds the science and the research, which is phenomenal.”
Yes, crypto. Digital currency is associated with stellar professionals like Sam Bankman-Fried and those engaged in illegal activities. (I will be talking about some of those illegal activities at the US National Cyber Crime Conference in a few weeks.)
So what’s the PR angle? Here’s my take on the message from the CEO in waiting:
- The message allows Google and its numerous supporters to say, “We think AI is like crypto but maybe worse.”
- Google can suggest, “Our AI is not so good, but that’s because we are working overtime to avoid the crypto-curse which is inherent in outfits engaged in shoving AI down your throat.”
- Googlers gardons la tête froide unlike the possibly criminal outfits cheerleading for the wonders of artificial intelligence.
Will the approach work? In my opinion, yes, it will add a joke to the Sundar and Prabhakar Comedy Act. No, I don’t think it will not alter the scurrying in the world of entrepreneurs, investment firms, and “real” Silicon Valley journalists, poohbahs, and pundits.
Stephen E Arnold, April 2, 2024
Social Media: Do You See the Hungry Shark?
April 2, 2024
This essay is the work of a dumb dinobaby. No smart software required.
After years of social media’s diffusion, those who mostly ignored how flows of user-generated content works like a body shop’s sandblaster. Now that societal structures are revealing cracks in the drywall and damp basements, I have noticed an uptick in chatter about Facebook- and TikTok-type services. A recent example of Big Thinkers’ wrestling with what is a quite publicly visible behavior of mobile phone fiddling is the write up in Nature “The Great Rewiring: Is Social Media Really Behind an Epidemic of Teenage Mental Illness?”
Thanks, MSFT Copilot. How is your security initiative coming along? Ah, good enough.
The article raises an interesting question: Are social media and mobile phones the cause of what many of my friends and colleagues see as a very visible disintegration of social conventions. The fabric of civil behavior seems to be fraying and maybe coming apart. I am not sure the local news in the Midwest region where I live reports the shootings that seem to occur with some regularity.
The write up (possibly written by a person who uses social media and demonstrates polished swiping techniques) wrestles with the possibility that the unholy marriage of social media and mobile devices may not be the “problem.” The notion that other factors come into play is an example of an established source of information working hard to take a balanced, rational approach to what is the standard of behavior.
The write up says:
Two things can be independently true about social media. First, that there is no evidence that using these platforms is rewiring children’s brains or driving an epidemic of mental illness. Second, that considerable reforms to these platforms are required, given how much time young people spend on them.
Then the article wraps up with this statement:
A third truth is that we have a generation in crisis and in desperate need of the best of what science and evidence-based solutions can offer. Unfortunately, our time is being spent telling stories that are unsupported by research and that do little to support young people who need, and deserve, more.
Let me offer several observations:
- The corrosive effect of digital information flows is simply not on the radar of those who “think about” social media. Consequently, the inherent function of online information is overlooked, and therefore, the rational statements are fluffy.
- The only way to constrain digital information and the impact of its flows is to pull the plug. That will not happen because of the drug cartel-like business models produce too much money.
- The notion that “research” will light the path forward is interesting. I cannot “trust” peer reviewed papers authored by the former president of Stanford University or the research of the former Top Dog at Harvard University’s “ethics” department. Now I am supposed to believe that “research” will provide answers. Not so fast, pal.
Net net: The failure to understand a basic truth about how online works means that fixes are not now possible. Sound gloomy? You are getting my message. Time to adapt and remain flexible. The impacts are just now being seen as more than a post-Covid or economic downturn issue. Online information is a big fish, and it remains mostly invisible. The good news is that some people have recognized that the water in the data lake has powerful currents.
Stephen E Arnold, April 2, 2024
Google Mandates YouTube AI Content Be Labeled: Accurately? Hmmmm
April 2, 2024
This essay is the work of a dumb dinobaby. No smart software required.
The rules for proper use of AI-generated content are still up in the air, but big tech companies are already being pressured to induct regulations. Neowin reported that “Google Is Requiring YouTube Creators To Post Labels For Realistic AI-Created Content” on videos. This is a smart idea in the age of misinformation, especially when technology can realistically create images and sounds.
Google first announced the new requirement for realistic AI-content in November 2023. The YouTube’s Creator Studio now has a tool in the features to label AI-content. The new tool is called “Altered content” and asks creators yes and no questions. Its simplicity is similar to YouTube’s question about whether a video is intended for children or not. The “Altered content” label applies to the following:
• “Makes a real person appear to say or do something they didn’t say or do
• Alters footage of a real event or place
• Generates a realistic-looking scene that didn’t actually occur”
The article goes on to say:
“The blog post states that YouTube creators don’t have to label content made by generative AI tools that do not look realistic. One example was “someone riding a unicorn through a fantastical world.” The same applies to the use of AI tools that simply make color or lighting changes to videos, along with effects like background blur and beauty video filters.”
Google says it will have enforcement measures if creators consistently don’t label their realistic AI videos, but the consequences are specified. YouTube will also reserve the right to place labels on videos. There will also be a reporting system viewers can use to notify YouTube of non-labeled videos. It’s not surprising that Google’s algorithms can’t detect realistic videos from fake. Perhaps the algorithms are outsmarting their creators.
Whitney Grace, April 2, 2024
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