Apple has been playing its cards close to its chest when it comes to AI. While rival
Microsoft has jumped on the ChatGPT bandwagon and is integrating AI into everything despite the bugs and hallucinations, the acronym didn’t even get a mention at Apple’s Worldwide Developers Conference in June. Reports emerged in July, however, that
Apple was working on its own generative AI tool, dubbed internally “Apple GPT,” which uses a large language model (LLM) framework called Ajax. On this week’s quarterly earnings call, CEO Tim Cook said Apple was enthusiastic about the technology and has incorporated AI into forthcoming iOS17 features like Personal Voice (voice cloning and text-to-speech) and Live Voicemail (live transcription). He added: Of course, what everyday users want to know is whether Siri will be getting an AI upgrade. And they certainly appear to be working on it, with the Financial Times reporting that Apple is hiring dozens of researchers and engineers to work on “compressing existing language models so they can run efficiently on mobile devices, rather than in the cloud.” The ads indicated the company is fully focused on bringing LLM technology to mobiles. Also read: Experts want to give AI human ‘souls’ so they don’t kill us all There are speed, privacy and security reasons to run the AI locally on the phone hardware rather than in the cloud, given concerns over OpenAI and Claude hoovering up all your personal and business data. Back in 2020, Apple spent $200 million snapping up Seattle startup Xnor, which focuses on this exact problem. Even prior to the advent of AI, computing technology had progressed to the point where the average eight-character password — using a combination of numbers, upper and lower case letters and a special character as recommended — could be cracked in around five minutes. New research indicates that AI password crackers like PassGAN can crack more than half of all commonly used passwords in less than a minute. Now it turns out that AI can work out your password with greater than 90% accuracy, purely from the sound of you typing. Given that almost everyone types within earshot of a computer or phone mic, that’s a pretty big exploitable area, especially if you log in to a site while on a Zoom call (93% accuracy.) The tech isn’t quite as good when users touch type or use the shift key, but it’s even clearer that passwords alone without 2FA need to be consigned to the bin of history. Johnny Cash’s fake version of “Barbie Girl” and Frank Sinatra riffing on a big band take of “Gangsta’s Paradise” are a couple of the more amusing AI deep fakes out there. This has provoked alarm from artists, including
Drake and Sting, who are understandably concerned at their unique vocals and
music styles being ripped off. Also read: ‘Elegant and ass-backward’: Jameson Lopp’s first impression of
Bitcoin In response,
Google has reportedly entered negotiations with Universal Music to create a tool for fans to create their own legitimate deep fakes of popular artists with a fee going back to the copyright holders. Artists would have the ability to opt in or opt out of the system. Google is trying to strike a similar deal with Warner Music, whose CEO, Robert Kyncl, enthused to investors this week that “with the right framework,” AI could “enable fans to pay their heroes the ultimate compliment through a new level of user-driven content . . . including new cover versions and mash-ups.” Some artists have embraced AI technology, with Grimes offering a 50/50 split of proceeds to AI producers and Paul McCartney using AI to improve John Lennon’s rough demo vocals for “the final Beatles track,” which was abandoned due to poor quality in the ‘90s.
Hollywood writers and actors strike be damned!
Disney has created an
Artificial intelligence task force to study how AI can be used across the entertainment behemoth. There are 11 current
Job openings across its theme parks, TV and advertising divisions. While creatives see AI as a threat, a Disney insider says the company believes the bigger threat is not adapting to the new landscape in order to bring budgets down — now topping $300 million for tentpole releases like Indiana Jones . Apart from bringing down the costs of special effects with generative AI, a theme park imagineer told Reuters that AI can make the company’s robots more lifelike, pointing to Project KIWI, which used machine learning technique to give a free-roaming Baby Groot from Guardians of the Galaxy personality and character movements. Disturbing research from IBM suggests that GPT-4 can be tricked into manipulating users. The researchers have shown that GPT-4 can be “hypnotized” to take part in multi-layered Inception -type games that saw the models “leaking confidential financial information, generating malicious code, encouraging users to pay ransoms, and even advising drivers to plow through red lights,” according to Gizmodo. Even if users figured out one of the “games” the LLM was playing, the researchers had created multiple other “games” the user would fall into. Bard is apparently more difficult to manipulate than GPT-3.5 and GPT-4. Also read: Blockchain games aren’t really decentralized… but that’s about to change — Nvidia has just unveiled its GH200 super chip , which has 141GB of next-gen memory, three times the capacity of its popular H100 GPU. Nvidia says the cost of powering LLMs will drop significantly — A new preprint from former
Amazon AI researcher Konstantine Arkoudas analyzed GPT-4’s responses to 21 reasoning problems and concluded that: “Despite occasional flashes of analytical brilliance, GPT-4 at present is utterly incapable of reasoning .” — Spotify’s AI feature “DJ” — which recommends new artists and tracks and tells you why you should give them a go — is being rolled out to 50 countries this week. Users of the beta so far have spent around one-third of their listening time using DJ. — Goldman Sachs predicts that AI investments will soar to $200 billion globally by 2025, accounting for 4% of U.S. gross domestic product and around 2.5% of the GDP of other nations. One in six companies mentioned AI on recent earnings calls. — Morgan Stanley is looking into concerns over an AI stock bubble , highlighting that previous bubbles had seen three-year peak returns of 150%. While AI stock darling Nvidia is up by 200% this year alone, broader AI indexes are only up by 50%. — Researchers at Harvard and the University of
Washington found that crowdsourcing business ideas from humans produced much more novel ideas than GPT-4, while prompting those same ideas from the AI produced ideas with better environmental and financial value. They concluded the best way forward may be an “integrative human-AI approach to problem-solving.” — Nobody trusts AI with company data, according to a Blackberry survey of 2,000 company IT chiefs, which found three quarters are either implementing or considering bans on ChatGPT and other LLMs for data security, privacy and corporate reputation reasons. However, a McKinsey survey found that only 21% of organizations have implemented any policies on generative AI so far. Redditor SellowYubmarine posted this “AI-generated trailer” for a Magic 8 horror film to the Singularity subreddit. While it highlights that a single user can employ AI tech to come up with a pretty impressive
trailer, it still requires considerable effort, with the user employing ChatGPT for dialogue and story ideas Midjourney, Adobe Firefly, Runway, Pika Labs for the visuals and Photoshop, After Effects and Audition for editing. Still, the new tech means creators will mainly be limited by their imaginations in the future, rather than budgets, as has been the case in the past.