aapl
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Post by aapl on Feb 29, 2024 3:16:36 GMT -8
AAPL down again in the premarkets: $180.92 -$0.50 (-0.28%)
Happy Leap Day - Free Beer if today's your birthday!
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Post by firestorm on Feb 29, 2024 4:59:20 GMT -8
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Dave
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"It's tough to make predictions, especially about the future." Yogi Berra
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Post by Dave on Feb 29, 2024 6:32:31 GMT -8
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Dave
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"It's tough to make predictions, especially about the future." Yogi Berra
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Post by Dave on Feb 29, 2024 6:38:46 GMT -8
Something that may have also played a part in the project being canceled is that, if the car had ever been produced it would have been manufactured in China. And Apple is already too dependent on China.
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4aapl
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Post by 4aapl on Feb 29, 2024 7:22:43 GMT -8
There were a couple stories I read over on AppleInsider last night. One was interesting, but the other seemed bland. First the bland one. It claimed there will be benefits from the Titan project for decades. But basically it did this by saying it is all about AI, and that Tim has hinted about AI being broad even if the car is the "mother of all AI projects". There just really wasn't much there even though I was hoping, but you can find the story at AppleInsider if you want. But the other one? It hits on one of the wall of worries items for that AVP, and with multiple sources. It was about the return rate for the AVP appleinsider.com/articles/24/02/28/apple-vision-pro-return-rate-is-about-the-same-as-the-iphone-15-proSo somewhere around 1%, roughly what other products are. And if that 20-30% not knowing how to set up AVP is right, that gives even more of a reason for Apple to push having pickup and fittings in the store. Seems a big storm is coming my way, getting forecasters to put out their most severe warnings, basically that you could get disoriented and die if you step outside into a blizzard . We all have different weather, and our temps are mild compared to lots of the North East, plus nearly anywhere in Canada. Still, these 3 day figures are impressive, and I have fun adding up the predictions. The NOAA predictions shrank by up to 3 feet at our in-town upper elevations, but the top of 80 increased by a little. There, the 72 hour timeframe adds up to expecting 108 to 144 inches of snow. Our forecast is about half that. forecast.weather.gov/MapClick.php?lat=39.34146682404148&lon=-120.34174919128418Sometimes nature can be amazingly impressive. I enjoy watching large waves too.
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4aapl
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Post by 4aapl on Feb 29, 2024 8:42:27 GMT -8
Next word completion and autocorrect are some interesting uses for basic AI. In a simple form it is just basic programming, putting in a likely word using statistics based on the words around it. But add some more smarts to it, and ideally it does a better job.
I've been paying a bit more attention on messages to see what choices it gives me when typing out a text, and often it does a pretty good job. But there was some common phrase that I was putting in last week that I was surprised it didn't give me the right next word. Languages can have so many options, whereas it should be a bit easier with code.
But autocorrect here on these pages with Safari seems to be getting me a lot more. I don't think it is that I am much sloppier than before, but my reading vision has changed a lot in the last year so it could be that I'm not catching some of the problems. OTOH I just noticed where I meant to write "will" and it had "with". The last 2 characters aren't near each other on the keyboard. Maybe I messed up the word, which happens more than occasionally if I go back and change the sentence while partway through. But I have caught it autocorrecting things to something wrong before, and it seems like it is happening more now than previously (I'm on the latest MacOS, Sonoma).
Have other people noticed more autocorrect issues on MacOS? Or is it more likely due to just getting older and more sloppy?
AAPL was in the green there for a bit, but now it is red and dropped below the psychological and potentially technical $180 level.
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4aapl
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Post by 4aapl on Feb 29, 2024 10:50:16 GMT -8
It's been nice to see some users stop by that I haven't in a while. And a couple international visits including New Zealand and the Netherlands.
MacRumors points out some Apple stuff on sale at Woot and Amazon, including a MagSafe iPhone charger. My sister was really amazed by our MagSafe wireless charger (from Belkin) when she visited, since her Qi type charger doesn't have magnets and so sometimes isn't aligned correctly.
AAPL got back up to 180 for a bit. It seems like quite often this timeframe is a bad one for AAPL, but I can remember up times too. Each time is a little different.
Sometimes we get refreshes of things like iPads and MacBook Airs in the late winter/early spring timeframe. FWIW a variety of places have MacBook Airs on sale right now, but some also have the 14" MacBook Pro, including Costco's ad that starts in a few days ($1399 for the base version).
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4aapl
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Post by 4aapl on Feb 29, 2024 11:09:50 GMT -8
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Post by hledgard on Feb 29, 2024 12:58:03 GMT -8
The rush to AI is not the answer for AAPL. AI is in good part hype. AI is not a solution, and the technology itself has risks
I do fear, as one who has help Apple stock for well more than 30 years, that Apple's big days are over.
And for sure, I would love to be wrong ! ! !
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Dave
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"It's tough to make predictions, especially about the future." Yogi Berra
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Post by Dave on Feb 29, 2024 13:26:36 GMT -8
The rush to AI is not the answer for AAPL. AI is in good part hype. AI is not a solution, and the technology itself has risks I do fear, as one who has help Apple stock for well more than 30 years, that Apple's big days are over. And for sure, I would love to be wrong ! ! ! I, along with a lot of other people, would also love for you to be wrong.
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4aapl
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Post by 4aapl on Feb 29, 2024 14:00:52 GMT -8
I do fear, as one who has help Apple stock for well more than 30 years, that Apple's big days are over. And for sure, I would love to be wrong ! ! ! It seems like multiple year stretches of 30-50% annualized returns are unlikely. I try to look at it realistically, and think that AAPL can still have long term annualized returns that beat the indexes, of the S&P or Nasdaq. With the S&P at 10% over the past 10 year stretch, I'm wondering about 15% for a couple years, then 12% for a few more. After that, if Apple settles in to being a huge company and doesn't have any big innovation or changes, then market returns seem about right. But that's still 5+ years out if they didn't keep up. Put in a 10% chance of things going gangbusters, and a 10% chance of them somehow really messing things up. But that middle 80% seems pretty solid, even if not the head turning return Nvidia has seen recently. It is important to remember that many big companies that did really well in the past then hit a flat or downward stretch. Some recover, though it can take years. MSFT had a stretch, I guess back with Balmer, though the stock is doing pretty well lately. Nothing lasts forever, but there also is no real reason to jump ship too early unless you have plans for other investments which you think are better. OTOH, it doesn't have to be an all or nothing proposition. AI, and the buzzword AI, are out there. Things will be changing, but like other buzzwords over time, the change might not be as fast as initially thought. As for autocorrect (related to AI) and it's persnickety nature, it doesn't seem like you mistyped "held" as "help", since the keys are no where near each other on an qwerty keyboard. Will AI manage to be witty or humorous? After seeing an add for the upcoming Honda Prologue, and a review talking of its shared platform with the Chevy Blazer EV, I was reminded of the punny nature of acronym makers. For the SS performance model, it says "GM-estimated 0-60 in under 4 seconds† enabled by Wide Open Watts† performance mode" WOW, and we thought Tesla was the only Ludicrous one.
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Post by nwjade on Feb 29, 2024 14:05:13 GMT -8
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Post by slanted on Feb 29, 2024 14:30:33 GMT -8
I’ve gone through a grieving process the past few weeks but today I sold a quarter of my Apple shares. Google finance tells me AAPLhas appreciated 11 percent over the past two years. As several of you noted in recent weeks that’s lost opportunity. I think I can grow this more elsewhere.
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4aapl
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Post by 4aapl on Feb 29, 2024 15:59:25 GMT -8
I’ve gone through a grieving process the past few weeks but today I sold a quarter of my Apple shares. Google finance tells me AAPLhas appreciated 11 percent over the past two years. As several of you noted in recent weeks that’s lost opportunity. I think I can grow this more elsewhere. Keep in mind that AAPL has had many down or flat 2 year periods, especially in market wide times like this one. Sometimes it is good to at least glance at the 5 year timeframe, and to see how specific a 2 year compare is. This time around, modifying the timeframe and endpoints just a little, while also trying not the cherrypick, can give much different ~2 year results. And the same is true with some other investments, with TSLA up greatly on the 5 year comparison, but down on the 2 year. The other thing is to think about what you will do, or wish you had done, with the investment instead. For the current exact 2 year period, the S&P is up a little bit more, like 15% instead of AAPL's 11%. But at the end of it all, it makes sense to do what will help you sleep at night, while still hitting your short and long term goals.
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Post by slanted on Feb 29, 2024 16:07:20 GMT -8
Yes, thank you 4aapl, it has weighed on me. I appreciate all you do for the board. And I’m a very long time hold investor. So not trading, looking for longer horizons.
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hrace
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Post by hrace on Feb 29, 2024 17:07:22 GMT -8
It was around the 2019 time frame that Tim Cook said he believes we will look back on Apple and say its greatest contribution to mankind will be health. And they were just at the beginning of it.
Non invasive blood glucose monitoring gets rumored continuously as being worked on. Who knows what else. I think back on that and hope a lot of R&D spend is still focusing on health.
Does the SOS iPhone feature fall under that in Tim’s mind? I’m not sure. It’s saved more than a few lives but I didn’t initially consider that under health and still don’t. Maybe health goes the way of a TV set that was recently mentioned on this board as another pet project for a really long period of time that never came to market.
Anyway, Apple Car, AI and Apple Vision Pro are the recent talk but I always keep health in the back of my mind hoping Apple is cranking on something magical to help us all both physically and our brokerage accts.
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Post by incorrigible on Feb 29, 2024 17:13:03 GMT -8
Seems a big storm is coming my way, getting forecasters to put out their most severe warnings, basically that you could get disoriented and die if you step outside into a blizzard . Wow! Stay safe. Sounds like a big one.
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mark
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Post by mark on Feb 29, 2024 19:08:02 GMT -8
I do fear, as one who has help Apple stock for well more than 30 years, that Apple's big days are over. And for sure, I would love to be wrong ! ! ! It seems like multiple year stretches of 30-50% annualized returns are unlikely. I try to look at it realistically, and think that AAPL can still have long term annualized returns that beat the indexes, of the S&P or Nasdaq. With the S&P at 10% over the past 10 year stretch, I'm wondering about 15% for a couple years, then 12% for a few more. After that, if Apple settles in to being a huge company and doesn't have any big innovation or changes, then market returns seem about right. But that's still 5+ years out if they didn't keep up. Put in a 10% chance of things going gangbusters, and a 10% chance of them somehow really messing things up. But that middle 80% seems pretty solid, even if not the head turning return Nvidia has seen recently. Nvidia has a huge advantage right now. They sell a chip/module that nobody else sells. So they sell it at a huge markup. Absolutely HUGE! Here's a simple comparison at the chip level - Nvidia H100 - 80B transistors - filled with GPUs - sold inside a plug-in module - $30k+ Apple M3 Max - 92B transistors - filled with CPUs and GPUs - sold inside a Mac - $3k+ The question is, how long will that advantage last for? Could be forever if nobody else gets into the market, but that's not likely with the high profit opportunity. I wonder if Apple is packaging some M3 Max into modules and into racks to see how powerful they can be as an AI device? Or maybe they're doing it with early M4 Max samples?
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Post by slanted on Feb 29, 2024 19:30:13 GMT -8
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Post by zzmac on Feb 29, 2024 19:35:00 GMT -8
The rush to AI is not the answer for AAPL. AI is in good part hype. AI is not a solution, and the technology itself has risks I do fear, as one who has help Apple stock for well more than 30 years, that Apple's big days are over. And for sure, I would love to be wrong ! ! ! Me: What is Apple doing to improve SIRI with regards to AI? ChatGPT 4 Apple is actively working on significant improvements to Siri by incorporating advanced artificial intelligence (AI), including generative AI technologies similar to those seen in ChatGPT. This effort is part of Apple's broader initiative to enhance Siri's capabilities, making the voice assistant smarter and more conversational. Key areas of focus include the development of large-language models (LLMs) and the potential for Siri to automate complex tasks using natural language. The company's AI team, known as the Foundational Models team, has been working on these advancements with a substantial budget, emphasizing the creation of advanced LLMs Additionally, there are reports that Apple plans to introduce these improvements in 2024, although the exact timeline and features that will be implemented remain under consideration due to Apple's cautious approach to developing Siri. The enhancements aim to enable Siri to perform a broader range of tasks, from web searches to setting alarms, creating to-do lists, and providing directions, with improved performance and understanding Apple is also exploring the use of generative AI across other products and services. For instance, there are rumors about integrating automatically generated playlists into Apple Music and AI-assisted features in productivity apps like Pages and Keynote. This could include writing assistants or the ability to automatically generate slide decks from prompts. The integration of generative AI is expected to cost Apple approximately $1 billion per year, highlighting the company's significant investment in AI to enhance user experiences across its ecosystem These developments reflect Apple's commitment to staying at the forefront of AI and machine learning advancements, ensuring its products and services remain competitive and continue to offer innovative features that enhance user interaction and productivity.
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Post by zzmac on Feb 29, 2024 19:42:29 GMT -8
Me: What advances in AI for the iPhone is Apple developing considering all the AI companies it has been buying out.
ChatGPT 4:
Apple's recent AI acquisitions and internal developments are poised to significantly enhance the iPhone experience, integrating advanced artificial intelligence capabilities across various aspects of the device and its ecosystem. Here's a summary of the AI-focused advancements Apple is working on for the iPhone, leveraging the technology from its acquired AI companies:
Improvements to Siri: Apple's initiatives aim to make Siri more conversational and capable of handling complex tasks with natural language processing enhancements. This involves the integration of large language models (LLMs) similar to those seen in generative AI technologies like ChatGPT
The company's effort includes making Siri smarter and more responsive to user queries by leveraging advanced AI algorithms and machine learning techniques.
Generative AI in Apple Music and iWork: Apple is reportedly exploring generative AI to create automatically generated playlists for Apple Music and AI-assisted features for productivity applications such as Pages and Keynote. This could include capabilities like writing assistants or the automatic creation of slide decks from user prompts
Enhanced Privacy and On-Device Processing: Apple emphasizes user privacy and prefers running AI software on-device rather than relying solely on cloud-based processing. This approach ensures data security and privacy but presents challenges in deploying large, complex AI models on mobile devices. Apple's work in this area may involve developing smaller, efficient models that do not compromise on privacy or performance
Advanced Machine Learning for Camera and Photos: Apple's acquisition of AI companies also hints at further enhancements to the iPhone's camera and Photos app. By applying AI and machine learning, Apple can improve photo classification, search functionalities, and introduce innovative photographic effects that are automatically adjusted based on the content of the photo.
Health and Wellness Innovations: With an ongoing interest in health, Apple is likely to incorporate AI-driven features into its Health app and related services. This may include more personalized health and wellness recommendations, improved activity tracking algorithms, and advanced analysis of health data for early detection of potential health issues.
Augmented Reality (AR) and Virtual Reality (VR): Apple's investments in AI could also accelerate its AR and VR initiatives. AI algorithms can enhance AR experiences on the iPhone by improving object recognition, spatial understanding, and interactive elements in real-time, making AR apps more immersive and useful.
By integrating advanced AI technologies into the iPhone, Apple aims to provide users with a more personalized, efficient, and engaging experience across various applications and services. As AI continues to evolve, we can expect Apple to further leverage its acquisitions and in-house developments to introduce new features that make the iPhone even smarter and more adaptable to individual user needs.
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Post by slanted on Feb 29, 2024 19:58:00 GMT -8
Genius. Zzmac wins the board today
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benoir
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Post by benoir on Feb 29, 2024 20:01:02 GMT -8
I wonder what the initial R+D spend was for the iPhone, or iPod. It would surely have been a fraction of the reported $10B spend for Titan. And the ROI for iPhone and iPad were/are excellent. What kind of business modelling undertaken when it went into Titan? We all knew car margins aren't great. I just can't see how Apple with all its design/execution prowess and amazing culture botched this to the point where they abandon the program. Sure, if they they abandon it after, say, 3 years, then okay.... but ten years in... If I were an investor... (oh yeah, I am), I'd be wanting to see something for that investment of time, resources and money. Is there now a repository of valuable IP? Is it transferable? Can they sell off the automotive hardware as a division/IP package? It's a significant misstep for Apple (the fact that it dragged on for so long with so much invested). Even Apple wannabes Xiaomi got something out! Although I'm guessing they are banging their heads on their collective workstations saying 'why didn't we cancel?... that's what Apple did..."
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Post by zzmac on Feb 29, 2024 20:18:29 GMT -8
Me: With all the patents that Apple has been granted for their recently cancelled car project, how can they use or incorporate a lot of these ideas and inventions into improving their other products or future products?
ChatGPT 4:
Apple's recently cancelled car project, despite not reaching fruition, likely generated a wealth of patents and innovations that could be valuable across a range of applications. The company has a history of leveraging its technological advancements in one area to enhance or inspire developments in others. Here's how Apple could utilize these patents and ideas in their existing or future products:
Improved Navigation and Spatial Awareness for Devices: Patents related to advanced navigation, spatial awareness, and environment scanning can be integrated into iPhones, iPads, and Apple Watches to improve their location-based services, augmented reality (AR) applications, and health tracking capabilities.
Enhanced Safety Features: Technologies developed for automotive safety, such as collision detection and avoidance systems, could enhance personal safety features in Apple devices. For instance, these could be adapted for use in smart home devices or personal safety apps on the iPhone, providing users with warnings about potential hazards.
Battery Technology and Power Management: Any advancements in battery technology or power management systems intended for the car project can be applied to extend the battery life and improve the charging efficiency of all Apple products, from MacBooks to iPhones.
User Interface Innovations: The user interface (UI) and user experience (UX) innovations designed for in-car systems can be adapted for iOS, macOS, watchOS, and tvOS, offering more intuitive, user-friendly interfaces and interactions.
Material Science and Durability: Advances in materials science aimed at making cars lighter and more durable could be used to develop stronger, lighter, and more durable Apple devices. This includes innovations in glass, metals, and composites that could make devices more resistant to drops, water, and dust.
Wireless Technology and Connectivity Improvements: Technologies developed for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication can enhance the connectivity of Apple devices, leading to faster wireless communication speeds, improved data transmission efficiency, and new forms of device interconnectivity.
Environmental and Health Monitoring: Sensors and systems designed for monitoring the car's external and internal environment could be adapted for home and personal health devices, like the HomePod or Apple Watch, to detect air quality, temperature, humidity, and health indicators.
Machine Learning and AI: The machine learning algorithms and AI systems developed for autonomous driving can bolster Apple's efforts in AI across its product lineup, improving Siri's capabilities, enhancing photo and video analysis, and offering more personalized and predictive services.
Security Technologies: Advanced security measures developed for the car project, including biometric authentication and encryption methods, could be integrated into Apple's ecosystem to enhance the security of device access, data transmission, and user privacy.
Software and Services Integration: Software solutions and service integrations designed for the car's ecosystem can inspire new features and services for existing products, such as improved mapping services, more cohesive integration between devices, and new subscription-based services.
By repurposing the technology and innovations from their car project, Apple can not only enhance the features and capabilities of their current product lineup but also pave the way for entirely new categories of devices and services. This approach aligns with Apple's history of innovation and its ability to adapt and apply its technologies in creative and market-shaping ways.
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4aapl
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Post by 4aapl on Feb 29, 2024 21:45:30 GMT -8
It's an 8U rack mountable server, kicking out 38.5k BTU. Put a few of those together and it's as much as a furnace or boiler! We got to play with the xServe (1U) and Raid (3U?) units. They were hot and noisy, even compared to a lab of 200-300 machines. But at some point Apple dropped them, and also dropped most server stuff. Hmmmm What competition does Nvidia have right now? Is Apple chip constrained, or would they be able to get TSC to make more chips? If you had a group of hundreds to thousands of employees that had some extra time on their hands, and some good portion of them could do useful work in a different area than they previously were in, how much time would it take to become a competitor at 50-75% of the server power that current NVIDIA products provide? What if there was at least a small skunkworks team that had been already working on this, similar to the x86 team that Apple had? I have no reason to think that Apple is doing any of this, though it sure seems like if the area has huge demand, has huge profit margins, and Apple has some very powerful processors, that this might at least be a direction that someone at Apple has thought about. "ChatGPT, who are Nvidia's top competitors on providing processing power for large AI servers? And how do their servers compare in processing power, energy efficiency and cost?" "ChatGPT, what would it take to become the number 2 AI server provider? And what would it take to become the number 1 AI server provider?"
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4aapl
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Post by 4aapl on Feb 29, 2024 21:54:58 GMT -8
Yes, thank you 4aapl, it has weighed on me. I appreciate all you do for the board. And I’m a very long time hold investor. So not trading, looking for longer horizons. Thanks. I'm just one of many that currently helps or has helped with the board over the years. But the biggest contributors have been all of the people that come here and post thoughts and ideas. I'm glad to hear you look long term. AAPL isn't the only choice out there, and while it has been a very lucrative investment over the past couple decades, that doesn't make it the only good investment, in the past or looking forward. I plan to switch over some of my investments, but I'd really rather do it at a time that AAPL feels overpriced, vs fairly valued or even underpriced. But even in retrospect there have been very few times that AAPL has seemed overvalued over the past 26 years that I have owned it.
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4aapl
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Post by 4aapl on Feb 29, 2024 22:19:30 GMT -8
Seems a big storm is coming my way, getting forecasters to put out their most severe warnings, basically that you could get disoriented and die if you step outside into a blizzard . Wow! Stay safe. Sounds like a big one. Thanks Not too much today, but tomorrow afternoon and onward is supposed to be the worst. The predictions are even increasing slightly, with the top of 80 predicting 147-187" of snow, and now Yosemite is closing. Time to rewatch "The Shinning". But for the most part it's just a "stay home if it's bad out, and have some extra supplies just in case". I moved half a cord of wood yesterday onto our porch, so we're ready to keep our wood stove firing if the power goes out. 4-6' of snow is a big 3 day storm for us, but it's not unmanageable. I bet they'll have to get one of the big train rotary snow plows going for the tracks going over Donner from Truckee. Those are impressive! en.wikipedia.org/wiki/Rotary_snowplowwww.youtube.com/watch?v=iSe1izplce0www.youtube.com/watch?v=eLmBIZaFpSU
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Dave
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Post by Dave on Mar 1, 2024 5:49:44 GMT -8
Yes, thank you 4aapl, it has weighed on me. I appreciate all you do for the board. And I’m a very long time hold investor. So not trading, looking for longer horizons. Thanks. I'm just one of many that currently helps or has helped with the board over the years. But the biggest contributors have been all of the people that come here and post thoughts and ideas. I'm glad to hear you look long term. AAPL isn't the only choice out there, and while it has been a very lucrative investment over the past couple decades, that doesn't make it the only good investment, in the past or looking forward. I plan to switch over some of my investments, but I'd really rather do it at a time that AAPL feels overpriced, vs fairly valued or even underpriced. But even in retrospect there have been very few times that AAPL has seemed overvalued over the past 26 years that I have owned it. It would be appreciated if you would share some of your ideas on other alternative stocks. I see NVIDIA, ARM and Intel. Intel is in a position to play catch-up as it unwinds some of its previous mistakes. Thankfully, I'm holding some small positions in these three right now.
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Post by zzmac on Mar 1, 2024 5:59:17 GMT -8
Who are Nvidia's top competitors on providing processing power for large AI servers? And how do their servers compare in processing power, energy efficiency and cost?"
ChatGBT:
Nvidia is a leading company in providing GPUs for AI and deep learning applications, with its products widely used in large AI servers for tasks ranging from natural language processing to computer vision. Its top competitors in this domain typically include AMD (Advanced Micro Devices), Intel, and increasingly, companies that are developing specialized AI chips, such as Google with its Tensor Processing Units (TPUs) and Graphcore.
Comparing these competitors in terms of processing power, energy efficiency, and cost involves looking at several factors:
Processing Power: This is often measured in teraflops (TFLOPS), indicating the number of trillion floating-point operations per second the hardware can perform. Higher numbers suggest greater capacity for processing AI and machine learning workloads.
Energy Efficiency: This is crucial for large-scale AI servers, as it impacts operating costs and environmental footprint. Efficiency can be measured in terms of performance per watt, indicating how much processing power is delivered for each watt of power consumed.
Cost: The upfront cost of acquiring the hardware and the total cost of ownership, which includes energy consumption, cooling needs, and maintenance over its operational lifetime.
Nvidia's GPUs, especially those in the Tesla and A100 lines, are known for their high performance and efficiency, making them a popular choice for AI workloads. AMD competes with its Radeon Instinct line of GPUs, offering competitive processing power and energy efficiency at often lower price points. Intel's entry into the AI hardware market includes its Xeon processors and the Nervana Neural Network Processors (NNP), designed specifically for AI workloads with an emphasis on both performance and efficiency.
Google's TPUs are specialized hardware designed to accelerate machine learning workloads. They are not commercially available like GPUs from Nvidia or AMD but are accessible through Google Cloud. TPUs are optimized for TensorFlow, Google's open-source machine learning framework, and are known for their high performance in specific AI tasks.
Graphcore has introduced the Intelligence Processing Unit (IPU), which is designed from the ground up for machine learning workloads, offering a different architectural approach that can lead to high performance and efficiency for certain AI applications.
To provide a detailed comparison of these options in terms of processing power, energy efficiency, and cost, specific models and their benchmarks would need to be examined. This data can vary widely depending on the specific hardware generation and the nature of the AI tasks being performed. Given the rapidly evolving nature of AI hardware, the most current benchmarks and product specifications would need to be consulted for an up-to-date comparison.
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Post by zzmac on Mar 1, 2024 6:01:06 GMT -8
Duplicate
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