Response from LG says that they are DISHONEST! They massaged the statement to "sound like" instead of to unambiguously refute or admit and I hope most people read it carefully.
Burden of proof is on LG, not on us and instead of they play dishonest games!
So, it is double-confirmed dishonesty and they should not be trusted further on EVER!
As the history rhymes, comparably we're at the mainframe era where limits of the 1st reach of fruitful capabilities could have been possible only with a big investment. Then came PC's and client compute. So, when we achieve mass RAM production and advance few more silicon nodes all within next couple of years, expect next phase of AI on the client with locally running AI (already some are doing it, but at a still prohibitive cost >$5K minimum upward to $20K).
Factor in inflation (which is unusually high and looks to be continuing until productivity effects materialize), so there could be market pricing adjustments/corrections (maybe short crash too, with repricing), although it is an interesting race dynamic where AI is progressing >2x than any previous cycle. In any case AI profits will materialize as they are already materializing at fastest pace than any tech cycle. There could be other re-pricing moments such as amortization/ROI of the AI datacenter cloud-s**. Near-mid term we'll overbuild power and memory production capacity, both harvestable in continuation and will drop price of KWh and GB, while cloud/datacenter buildings will not have such continuation.
So, it is actually easy to see >$30T TAM by ~2030 - buckle up, as that would shake many things and who survives might get to either paradise or hell.
ARM invested significantly lately in CPU design, which can be seen through history of job openings and news, so they caught up to Apple. Xiaomi does only SoC integration and CPU configuration (i.e. choosing how much cache, how many units of what, etc whatever ARM gives as options to choose). So, this is not comparison of Apple CPU vs Xiaomi, but Apple vs ARM ;-) CPU design is very long term and risky. NVIDIA has had it (i.e. Carmel soft CPU) and trimmed it significantly (maybe they reignited it again, since they were not allowed to acquire ARM). However Apple has just launched M6. They all know what competition is going to have next few generations through covert/overt industrial espionage (I remember in Intel their competitive analysis team was sourcing info through chain of sources to "wash it")
New CPU is 100% ARM design and nothing by Xiaomi other than "Chinese menu" configuration (i.e. how many blocks of this or that type,..).
Apple CPU is a full custom design that just complies with ARM.
Xiaomi Xring O3 CPU is designed by ARM and Xiaomi (as well as Mediatek) did not do any CPU design, other than custom bus interconnects, physical implementation on TSMC 3nm, an in-house NPU, and adopting next-generation LPDDR6 memory support.
Opus 5 is more manipulative/political and as a result all that the author experienced. It could be result of a few things; intentional (mall or ill) or unintentional (if detected, which it should be then lack of addressing gets it back to intentional).
I see hardest job market ever. Since 2023 I had ~dozen interviews and 0% up to offer pass rate (half fully passed interviews, with no offer at the end due to variety of cases like money change of mind, other candidates won, ghosting,..)! Up to recent couple years I had over 90% interview passing rate, even in dot com and 2010 (when I had 6 companies interview with 6 offers). I am 55y with rich experience vertically (from low level to high level) and horizontally (multimedia, high tech, many platforms and OS's, major programming languages and few good to pass hard leetcode like interviews). I am better than ever with my skills. (btw leetcode is "disease" and counterproductive the way it is used, I have to say that as that might be part of deeper explanation and I pass it majority of the times, although had few "walk on water" type that maybe only "Jesus of coding" could pass or maybe even he could not)
MS has a history of flagrant abuse of user's privacy much before Win11, with Telemetry, Recall fiasco and Cortana, just try to analyze the traffic from MS Teams and you'll have hard time to find a bigger nosing spyware (Zoom as a Chinese cloaked is arguably close). Mindset of "anything goes" as long as it decorated with "nice sounding words and names" while under the hood is doing a mix of potentially quite nefarious things. I stopped at sanitized Win10 and can not trust that Win11 sanitation can hold (therefore won't switch to it likely ever and there is growing number of users like me). Once you start seeing this, you can't unseen it. Long term it is bad intent strategic direction that will end in loose-loose.
This is typical medical "cartel" (i.e. gang/mafia) type of a move and I hope it does not last, since any other AI's do not get restricted in "do not look up" way, this kind of practice won't stand a chance for very long.
I'd welcome rational and logic substantiated thoughts on "Prediction: Nvidia Stock Price Will Skyrocket to This Range in 5 Years" (into range btw $1300 and $4K)
I was aware of market growth projections and I think there are many factors/bumps on that road. Additionally, investment in AI datacenters is already all or nothing kind of zero sum race, so much so that it has hit limits (power, available money, etc) so that there will be harder limits on such path (i.e. think of NVDA market cap value in a case of such valuations btw $35 and $75T which should fail this analysis).
So, what do you think is more realistic (with sound end2end logic)?
As "all birds know" US has the best MSM "the money can buy" and three letter orgs and NGOs extensively manipulate? The paid swamp in Washington is has made and facilitated it. Any surprise?
Stop using Chrome. (i.e. as main browser I use Firefox which with containers is unmatched and Brave for any websites that I used Chrome in the past mainly for faster JS, while speed is +/- per bench) This could not have much effect on Google in the beginning (technically informed users first), but at some point it can (and I predict will, as technical literacy and privacy awareness is increasing, plus greed and productization of user data does have limits..) be avalanche moment. It will take variable time due to many variables, but is inevitability (i.e. universe law of "optimal path"). In my opinion, Google has miscalculated with the move to obsolete MV2 (masking it as "security" adds to dishonesty and consequent distrust, which is the opposite from the original Google's founding principles)
OK Chrome shall be gone/uninstalled/not-used from all my computers and shall recommend it be removed from all my friends computers with the explanation of their behavior and loss of trust and respect for us users!
Interesting inversion of priorities?
In the age of huge increase of abuse of power by secrecy over-classification and already unearthed arguably up to criminal abuse of power and waste of our money (with all crimes that it caused here and in the world), invasion of the country and countless other hybrid attacks how does secret clearance of few efficient engineers look compared to all of the results already shown and more to come?
Is it ideal, no but there was not other known way or all would be open to hear it and cutting the power of executive branch is bureaucratic dream where they could grow like cancer up to killing the host, which they were arguably close.
FB interviewer had "two hard Leetcode problems within 35min", where 25min was background and 1st leetcode problem was "changed" (adding ambiguity to the point of be without solution - later could not find any full solution, for which I stated factors and disclaimers to interviewer).
Agree, such or similar unrealistic interviews are loss for both sides, plus they are plain STUPID. I've performed ~400 interviews that most included coding in my career with consistency and standardized report (can compare apple to apple).
To clarify, in summary so far LLM's can do a bit more than the inputs used for training. Example https://dynomight.net/chess/ as well as some coding solutions are a bit better than each input alone, although if the solution requires more than "a bit more" then LLMs start to hallucinate (spin the wheels). Time will tell if LLM's can jump this "a bit more" barrier? (I can not tell for sure yet, but the current knowledge and my NL tells me if I'd have to put a bet, it would be that the new approach/design is needed)
Nice summary and agree in the way you put it, which I am stating to all sides - so nobody likes to hear it :-) since majority is literally polarized (i.e. their objectiveness, capacity to think deep, sort/prioritize is disrupted by impact to emotions/biases)
At the very early phase of the boom I was among a very few who knew and predicted this (usually most free and deep thinking/knowledgeable). Then my prediction got reinforced by the results. One of the best examples was with one of my experiments that all today's AI's failed to solve tree serialization and de-serialization in each of the DFS(pre-order/in-order/post-order) or BFS(level-order) which is 8 algorithms (2x4) and the result was only 3 correct! Reason is "limited training inputs" since internet and open source does not have other solutions :-) .
So, I spent "some" time and implemented all 8, which took me few days. By the way this proves/demonstrates that ~15-30min pointless leetcode-like interviews are requiring to regurgitate/memorize/not-think. So, as a logical hard consequence there will.has-to be a "crash/cleanup" in the area of leetcode-like interviews as they will just be suddenly proclaimed as "pointless/stupid"). However, I decided not to publish the rest of the 5 solutions :-)
This (and other experiments) confirms hard limits of the LLM approach (even when used with chain-of-thought). Increasing the compute on the problem will produce increasingly smaller and smaller results (inverse exponential/logarithmic/diminishing-returns) = new AGI approach/design is needed and to my knowledge majority of the inve$tment (~99%) is in LLM, so "buckle up" at-some-point/soon?
Impacts and realities; LLM shall "run it's course" (produce some products/results/$$$, get reviewed/$corrected) and whoever survives after that pruning shall earn money on those products while investing in the new research to find new AGI design/approach (which could take quite a long time,... or not). NVDA is at the center of thi$ and time-wise this peak/turn/crash/correction is hard to predict (although I see it on the horizon and min/max time can be estimated). Be aware and alert. I'll stop here and hold my other number of thoughts/opinions/ideas for much deeper discussion. (BTW I am still "full in on NVDA" until,....)
Will this be another mass experiment? (i.e. when will the humanity learn to have balance of safe practices vs corporate greed, without self-serving bureaucracy and scientism)
This is uber stupid, because it will create way more divided internet (all countries will start separating further) and will create loss of trust in western/UK/US products (why would rest of the world continue to use iPhone/MacBook, google, Amazon, etc,..) therefore it will have huge cost in terms of lost revenue to all big companies. On the other hand there are smarter ways to do what is needed that respect privacy and do not cause such unnecessary economic harm to companies, but hey we'd need to have smart people in the governments (which are full of not smart people). Another aspect is that this will be unenforceable for huge majority of individuals since there will be plenty of solutions that will circumvent this, plus then number of companies will start forming companies in non affected geo's (off shore etc) and provide for example alternative to Viber/Skype/google/etc.. (some already exist).
There are multiple types of 10x programmer of which I was each at some point in time and shall be when things align. 1st type is "expert" with accumulated memorized domain and code base knowledge as well as organically used tools enabling to scale productivity. 2nd is autocode/reduce-ambiguity which is sweet. 3rd is smart out of the box quiet lazy type to point the right angle at the right time/space to save and this type is the sweetest :-)
I'll wait for after Black Friday and after layoffs and catch some good stuff on craigslist. Plus this time it is different, 1st most deals went online, long before and after into December and January so no rush, 2nd due to inflation deals are worse so better deals might come months after, 3rd post-covid even Halloween is almost no-more so everything is changing
"39.4% of men over the age of 15 have no children" - wait, what kind of a clickbait news is this? (who gets kids in the western world right after the age 15!!!???)
Eureka? ... anyone surprised should be admitting limits of their mind as this was very easily predictable (i.e. globalist/deep-state manipulated US has done stupid moves and continues to do so)