Algorithm
This week, we chat about that there is no talk about a few hundred billion dollars that AI billionaires will not be sleepy nights, why AI in Medicine is still a bumbling sham on a shortage basis, and OpenaiI can now find themselves in a slightly uncomfortable position that Microsoft can initiate the process of decoing.
Oops, just miss a few hundred billion dollars
Some time ago, Meta CEO Mark Zuckerberg commented that Meta could “miss a couple of dollars” in this AI race “. Superintending is a dream. Right on Q, the Meta AI app calls the vibes layer, which the company says “a new way to find, make and share AI videos”. And how you will get later in the ‘Prompt’ section, because many of you like to waste time to trick your father with fake videos and subscribe to money. How many new ways to make AI video are literally launched everyday, I have lost count. Nevertheless, I would all say that this is the AI was considered to be intelligence information (PhD-level, some AI bros likes to fall into almost every conversation), solve real-world problems and help humans what they do. Nevertheless, here we are, (yet yet) are spending billions of dollars to create an app that churns the cat’s video, and looks like Bigfoot in the rain with a umbrella. When Meta says, “We are working on many talented visual artists and creators on even more powerful construction tools and models,” this inspires me to uncontrollable anger. Nothing is creative or powerful about this. Just a world is missing a hundred billion dollars in a world that is still struggling to cure hunger, homeless and disease, just shows how billionaires deposit money for their craze. Those craze are not real -world problems.
AI, therapy and an all time low trust level
What was self-aggressive about the second day of Openai’s Sam Altman, that he needed some more billion dollars and some other GPUs, if AI had to treat cancer? Exit, a Microsoft Research, Health and Life Sciences paper Title “The Illusion of Readiness: Stress Testing large Frontier Model Multimodal Medical Benchmark” may be made to look good in some benchmarks “even though the current drug -centric AI model can be made good, but little to suggest that these models can handle the real -world medical argument. “Health AI has a reliability problem. Models like GPT -5 still stagger on simple tasks like ACE medical examination and top multimodal benchmarks, such as preserving their answers while changing the answer options, or medically justifying their predictions with sound logic,” does not do paper words. One of the major findings of paper among many people maintains its original accuracy even when model images are removed, even on questions that require vision, indicating that they are using a shortcut at real understanding. There is also a fabricated argument – “” Step by step models often with the wrong argument of wrong arguments for wrong answers with the argument of confidence, the medical formally sound explanation for the wrong answer, or the correct answer supported by the fabricated argument. “In this case, GPT-5 of Openai.
Microsoft, Anthropropic and an Openai Untangling
This should be to worry to worry Sam Altman and Openi, and because their $ 100 billion financing from Nvidia properly discovered what it is, a Desperate hyp pivotA few days later, Microsoft announced a partnership with anthropic to provide Microsoft 365 Copilot models to users. In particular, the enterprise subscriber, Microsoft researcher begins with agent and Copilot Studio, sitting with existing model options with Cloud Sonnet 4 and OPUS 4.1. This is the first major step away from a specialty that defined the relationship between OpenAI and Microsoft to date. Openai is no longer in the major position as the only AI Foundation for Microsoft products. Can this be the first sign of receipt on the part of Microsoft? Suddenly, another $ 100 billion, all calculations and all fresh water and electricity, can provide some consolation.
Ready
It is not that you still need another app to “create” AI debris that will litter the social media deadline, but there is still one here. Meta AI’s vibs feed.
Meta has unveiled “vibes” as part of its Meta AI app, which is likely to be in a thick pile of dollar due to lack of adequate AI-Janit Cat video on social media feeds, which is likely to be in a thick pile of dollar. This new feature allows users to generate AI video from the text prompt – because apparently, there were not already adequate generative AI apps. Where will you get this? Update and open the Meta AI app on your phone, and generate a human video with a pet lion, or a dinner above the clouds, and a dog driving a car in Sunny Miami, you will be hit on the face. You are very few options in the case.
A rather anticipated pitch, “a” can bring your ideas into life with “a” new AI visual creation tools or remix an existing video by changing the style by adding music or changing the style to make it your own “. In practice, it is a sophisticated and most likely unnecessary tool that will flood the social feed with any more short -term, unnecessary materials. If it is impressive for the end, we are essentially celebrating our ability to generate infinite variations of “My Coffee Cups but Anime”, while the money inserted into the computational resources of Meta is not a real revelation technique – what is the meta vision for the real revelation technology.
Mark my words, vibes do not increase human creativity – it also replaces the creative process with early engineering. If there is no painting, videography or visual storytelling skills in the next generation, do not blame them (and definitely do not blame the parents). AI Bros has taken it on itself, so that the world can get a dumb (Er) place.
Thinking
“I can’t tell you what is happening in AT&T and Verizon or any other place. I can tell you that T-Mobile iPhone sales are at a record high level at all times. We had the biggest iPhone weekend right now. We are digiting double from that launch” -Maic Sement, President of T-Mobile and CEO, iPhone 17 Launch Weekend.
Reference: AI does not sell phones, no matter what Android enthusiasts want to believe you. The latest iPhones prove. During the iPhone 17 Kenote, from which the iPhone 17, iPhone Air and iPhone 17 Pro emerged, Apple Barely mentioned AI or Apple Intellogi. What is selling new iPhones (even in India, there is a fair backlog of those who adopt pre-order and early), there are centers around the surroundings, camera improvement, air ultra-slim design and new colors.
I will give you an example. An attempt to pre -order on an iPhone 17 on the morning of 29 September produces an estimated delivery window between October 13 and October 18. This is a sign of backlog due to demand. You can argue that this rapid outlook by operator deal and bundle T-Mobile may cause this rapid outlook, quoting sequel about the sale of T-Mobile record-breaking iPhone 17, yet forcing evidence that utility still increases smartphone sales for Apple, even at the age of AI. Perspective, iPhone 17 shopping cart observation, in India where there are no operators bundles to cost.
A reality check: The original success of the iPhone, some Apple has created the year -head, has come from solving clear problems -it put the Internet in your pocket and made the smartphone a thing. Conversely, today’s AI solves facilities that most people do not know that they have. AI can summarize your information and rewrite your texts, but re -writing someone’s life has improved meaningfully?
This disconnect shows an uncomfortable truth for Silicon Valley. Consumers are remarkably clear about the actual value of AI in their daily lives. While AI officials have described their model as a revolutionary, which can generate a better email response or edit an image beyond recognition, most consumers rarely find it worth $ 1,200. The lesson here is cruel but important – the AI smartphone, does not sell real utility and a sense of upgradation. Better cameras, sharp chips, and better software, still Trump Fiction. In this case, polish experience has always been an apple fort.
Neural dispatch is your weekly guide for the rapidly developed landscape of Artificial Intelligence. Each version provides curated insights on success technologies, practical applications and strategic implications that shape our digital future.





