You aren't kidding. The price for a lot of their storage options looks to be 2-4x what you can find in a grocer in the US. Even a Costco set of Snapware glass is significantly cheaper than Tupperware.
Many of my close friends and myself that have used Android phones have sworn off the Pixel brand.
Personally I had issues with GPS and the speaker on my Gen 1 pixel.
We all seem to run into hardware faults right around the end of the warranty period and their value seems to drop like a rock on the second-hand market months after launch.
I owned several generations of Pixel. Nightmare. Half baked software. Sometimes would crash on first setup. Just a spaghetti mess which you can't afford with something so central to daily life as a phone. It was like some kind of academic software experiment. They literally couldn't pay me to use one today even as a second phone. I don't trust google.
Their partners already have tons of alternative boards ready to go, including a few which are drop-in replacements for the Pico, if you don't mind spending a bit more for USB-C:
The problem is most of the boards from partners are specialized with different hardware add-ons and have a significant markup at about 10 USD a board, which makes it harder to justify buying a handful of boards to tinker with. It's quite unfortunate.
No, these are microcontrollers. They're the thing you'd put inside a device that needs a tiny bit of smarts, like Raspberry Pi's debug probe[0]. The case I have for my RPi5[1] uses an rp2040 to run the thermal management logic.
Oh, I was trying to understand why cheap chiniseum USB-C-powered products off Amazon were only charging from a cheap USB-A brick and not from my quality USB C chargers.
Ugh, that one was killing me the other day. I went through 3 different cables before I found a hardware designer on the company's discord who could explain the issue.
I suspect the microUSB would actually fail in OTG mode for the same reasons in that case though? It's the same thing in terms of needing extra resistors.
Probably so they can say that it's a drop-in upgrade over the Pico 1. It's not a drop-in upgrade if you have to redesign your project's case to use it.
No, it just needs 2 extra resistors to work properly, but will work as-is if you use USB-A to USB-C cables and as long as you don't pull more power than available by default (i.e. you can request 3A @ 5V just by adding two resistors, but without it you're limited to USB's defaults)
In the past, when usb-c just got introduced micro usb ports for significantly cheaper than usb-c, so it made some sense. Today, it makes no sense.
You can't request 3A via resistors and you don't need to. You can advertise being able to source 3A via resistors. The sink does not advertise how much power it draws (unless it speaks PD), sink's responsibility is to check for what the source advertises (either via resistors or PD) before attempting to draw more power than USB default if you want to be compliant, which boils down to a simple comparator/ADC reading.
Simple sinks just use two 5.1k resistors for pull-downs, no matter how much power they want to draw - and they always need these resistors (two for receptacles, one for plugs), otherwise they won't work with USB-C sources at all.
I think I'm growing tired of reading articles and books that disguise opinions as "Best Practice." I find most of these types of articles and guides lacking in substance.
All of them seem to use blanket statements that lack any evidence as to why the claim being made is true. We are just expected to trust the author, when the author isn't even an expert in the topic they are discussing.
Some of these are (hopefully) common knowlwdge to react devs by now.
Although, even though I disagree with some things on that list. They're most certainly not considered good practices, but they're also not the end of the world, really.
The "burns" they'd acquire when applying some of the these tips would lead to great learning opportunities too (without being major setbacks).
Overall, a very decent article for someone starting off with React!
Good on them. They are using the same tactics ISP's have used to screw the general public but instead they are at least providing the services they promise.
It's frustrating to see a post like this just blaming Google for their issues, when perhaps their reporting/reviews might be at fault? Many people who look up reviews for products reviewed by Retro Dodo often criticize the reviews for lacking substance or getting very basic facts wrong.
I know that I added them to my personal filter list when I found them providing mis-info or just click-farming off of unannounced products.
It's not about whether you agree with their content, it's that AI and aggregated results are getting ranked above all original pages. I don't have any more hard evidence than the author does, but it's also been my experience that the film of mashed up self-contradictory detritus has been growing thicker and thicker over time. This new wave of non-content is totally different from the old landscape of true or false content.
Payday loan companies like Klarna should probably apply AI to avoid granting loans to people who obviously can't pay them back...
Oh, wait, that would probably be be 90% of the people that use these loan providers to buy something. They should probably be regulated out of existence instead.
Klarna is not payday loans by any means. There are no loans involved. It is a BNPL company (which also offers a credit card and a bank account). Even with BNPL, there is a lot of leeway given to how you want to make a purchase (split in 4 etc.)
At least in the EU, where Klarna originates and is headquartered, using AI as part of an automated decision making process would be illegal under GDPR.
'Payday loan companies' is quite a loaded term, generally used for companies with predatorially high interest rates (three-plus figure APRs). Klarna on the other hand is relatively competitive with a normal credit card, with rates of 20-30% APR typical.
I've never used Klarna myself, but I can see myself using it as part of a plan to buy expensive goods (furniture, white goods, etc.), and I don't think that there's any particular problem with it (from a consumer perspective) that makes it worse than a normal credit card.
Whether their business can support as many write-offs as it sounds like they make is ultimately not something I can comment on.
I use them sometimes. More so as I can pay stuff as invoice. Meaning that if I don't get stuff for some reason there is Klarna in between. Kinda similar to credit card, but less hassle with chargebacks...
> At least in the EU, where Klarna originates and is headquartered, using AI as part of an automated decision making process would be illegal under GDPR.
It's article 22 (https://gdpr-info.eu/art-22-gdpr/) "The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her." - with the emphasis on solely, and it does have certain caveats which perhaps maybe might make it permissible.
Like, this restricts automatic refusal of service due to automated profiling, but doesn't restrict automatic acceptance of service due to automated profiling, and it doesn't restrict automatic recommendation to refuse service which then is rapidly 'reviewed' by a human.
While I agree it doesn’t exclude “human in the loop” necessarily, but there is a lack of clarity as yet whether a decision made by an AI to flag something for manual review would also qualify as a “decision” in this context.
It’s also not explicit that the “legal effects” need be negative, just significant, which I think entering into a loan agreement probably is.
On the plus side, I don’t think it will take too long for case law to develop on these points.
Tesla still seems to be over-valued. I don't see why they would be worth 10x other car manufacturers, especially ones that have quality manufacturing already down.
Not based on the fundamentals. Tesla maintains a high profit margin and doesn’t carry immense debt loads like the traditional manufacturers. Additionally Tesla has some degree of self-driving success priced in. Traditional auto also returns most profit as dividends and the stocks do not grow.
They still sit at roughly 50x PE Ratio though. You'd have to expect such high growth (way more than even they forecast) to make sense of buying into that if you're not reliant on making money on hype and brand awareness, which is brutally fickle.
Is there a reason why you didn't include their current battery production operations and future plans in this regard, along with solar, along with the TeslaBot that once far enough along will basically create a feedback loop that will make practically everything we currently do "free" to do?
The TeslaBot with even a dumb level of "AI" for learning and mimicking actions the Bot is shown to perform and can mimic based on its non-meat stick appendages - whole systems and funnels from farming to getting a cooked meal on the dinner table could be (eventually) fully automated with little to no human oversight, where the only initial inputs are raw-natural resources; the problem then that 100% of humanity needs to focus on is then heavy oversight and real-time in-person witnessing that such systems aren't being corrupted-captured by bad actors.
There are other synergies with companies Elon is involved with that people seem to fail to see the synergies of, including but not limited to his effort towards colonizing Mars - of which there will be plenty of ongoing
Elon also controlling Starlink, assuming every Tesla vehicle will have capacity in future for their vehicles to be connected, they'll be able to undercut competitors - and will also act as downward pressure on competition to not overcharge; I believe Elon stated his goal is $5 billion/month from Starlink subscriptions to pay for his Mars efforts, with the first organization to get space mining operations into play - able to extract and send home refined product - has then tapped into the unlimited abundance of the universe, the profits of which reinvested fuels progress along an exponential path; once these systems are in play and self-sustainable, reaching that point by being a better offering, value-price wise, then that frees up time to focus on launching the next puzzle piece - each puzzle piece compounding with the others; his "free" time, fortunately for us, most recently leading to him somewhat impulsively - but clearly his impulses are existential crisis-importance driven - he bought Twitter to protect free speech and unveiled-unmasked the corruption and treason via releasing the Twitter Files.
Elon's arguably 20 years ahead of everyone else in regards to the holistic possibilities that his ecosystem of companies will allow for, and arguably every year there is the possibility he leapfrogs another 10 years ahead.
> TeslaBot that once far enough along will basically create a feedback loop that will make practically everything we currently do "free" to do?
How can this happen? This sounds like some serious hype.
What I find really funny about the TeslaBot is that it looks as capable (if not less) than Honda’s ASIMO which is a 2005 era product. What makes you think the TeslaBot won’t hit the same wall that Honda’s bot did?
TeslaBot will be using the same AI chip and system that Tesla's Autopilot uses to understand the vector space of the world around it.
They've already demoed teaching a robot to repeat-mimic the movements that a human dose with its arms-hands-fingers, and so training will be as simple as that. You could 1 single robot who could clean your whole house as well, say during a 10-hour period while you're out, getting every nook and cranny - and where speed isn't really an issue in that situation; other tasks like a delivery comes in, and the bot can immediately take that delivery and put the items in their proper places - whether that's fridge, freezer, cupboard, or left out on counter for cooking a meal later.
What'd it be worth to have 1 extra human worth of productivity at your command for 24/7? How much more value it creates compared to cost will depend on your circumstances of course. Having a small apartment it may not be that useful, but maybe if you have multiple properties and at once property you've cut down a tree for firewood - the bot can move the logs into a splitter and then stack them for you, etc.
Once you realize that a single robot that can switch between very different tasks in a chain of tasks is possible, the size of production required to reach the same efficiencies of economies of scale will be far lower than currently required for mass production ,e.g. where maybe the equipment needed beforehand required needing to be able to produce say at least 100,000 of something per month but now maybe only 10,000 of those units need to be created for the same margins; which makes the environment more competitive, the barriers to entry lower, derisking and distributing power-profits by allowing more decentralization, a reduction in how much large industrial complexes can capture production and sales.
The battle will be on 2-3 fronts: 1) making sure industrial complexes and bad actors don't try to try to prevent the general population from having access to these technologies, and 2) making sure bad actors don't try to capture and corrupt-takeover these systems to then weaponize them against society, and a possible 3) preventing the companies that produce these technologies, perhaps including AI, from trying to extra value from what "their" bots are capable of doing. E.g. they start trying to take a % off of every business type, depending on the added value the bots create for them, so instead of those values and gains being distributed to all of society - they try to capture and hoard as much of that value creation for themselves, reminding me of the rent-seeking behaviour of what I call the Landlord-Rental industrial complex; "leasing" the technology rather than selling it.
How about addressing and countering any of my specific points, ideally each one in sequence so you can't cherrypick to avoid the ones where I'm certainly correct - rather than what's essentially ad hominem as your response?
How many variations out driving across the US and the world do you think there are compared to a relatively static environment that a Bot can be trained in-tailored for?
It's not 2005 anymore and LLMs have far surpassed Markov Chains from the 80's thanks to advancements in computing technology, so it doesn't seem unreasonable to think there's a chance they'll get past ASIMO level of performance.
It's not. Shorting bubbles or frauds is not a good idea, unless you find an instrument through which you can do it for a long time, without paying too much premium. This is very rare.
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