I doubt they enjoy having their balls in TSMC’s vice.
Intel is the only option remotely available to leverage against them.
Fujifilm successfully repositioned towards other chemistry. I know there’s that Eastman spinoff but why wasn’t it as successful?
ARM has a high probability of blowing a tire.
They have a complex relationship with their licensees which may try to cause self-sabotage trying to pull more of the money home. See the various licensing fights.
If you don’t want or need x86, what does ARM have to offer-- in the long term-- over RISC-V, which is much less coupled to a single firm’s caprice? We can assume the gap in performance will continue to shrink ovrr time.
A month or so ago; I had a 32G card, and bought a 128G card.
My objections:
Instead of writing the code now, you end up having to review and debug it, which is more work IMO.
Not to mention the Xbox Box, and the shipping cintainer full of 'em, the Xbox Box Box
Gacha can be moderately acceptable if the math is fully documented and enforced. If you know it will take <= 180 pulls to get Raiden Shogun, and each pull costs $3, then it’s just a $540 DLC with extra steps and the tease thst it might be cheaper if you’re lucky or have banked pulls.
But transparency is key-- the developer should be expected to offer a calculator or lookup table for any RNG item, especially if it’s some combination of multiple drop mechanics or hsrd-to-convert currencies that dissuades back-of-the-envelope estimates.
Even in Vegas, the slot machines are required to disclose their payout rate.
There’s also significant differences in the gacha appeal factor. If there are no leaderboards or PvP, and the game mechanics can be completed with F2P only, that is inherently less pressure to spend then on a game where you regularly get your ass handed to you by a someone with a Black Amex and all seven-star limited banner units.
As a (non-game) developer, AI isn’t even that great at reducing my burden.
The organization is enthusiastic about AI, so we set up the Gitlab Copilot plugin for our development tools.
Even as “spicy autocomplete” only about one time in 4 or so it makes a useful suggestion.
There’s so much hallucination, trying to guess the next thing I want and usually deciding on something that came out of its shiny metal ass. It actually undermines the tool’s non-AI features, which pre-index the code to reliably complete fields and function names that actually exist.
Or that there’s a huge amount of legit demand for mature node chips and it makes sense to own the supply for it.
The 5000 microcontrollers you inyeract with each day, by and large, do not need 5nm processes.
We saw a few years ago how relatively cheap, commodity-grade, low-complexity chips suddenly become vital when you can’t get them and they have unfinished cars piling up at the assembly plant.
I suspect Intel has a broader product range than AMD to justify the headcount, but I’m not sure where the extra resources should go.
Their networking chipsets were gold-standard in the 100M and Gigabit era, but their 2.5G stuff is spotty to the point Realtek is considered legit.
They’ve pulled back from flash, SSDs and Optane.
There must be some other rich product lines that they do and AMD doesn’t
It can also throw things against the wall with no concern for fitness-to=purpose. See “None pizza, left beef”.
So thry’re saying they have plenty of licenses for the use case, but somehow people are still pirating?
Maybe their license management paradigm is just garbage. This could be the vendor, but also poor IT policy if the users can’t requisition what they need.
As usual, service problem.
So much licensing fuckery-- dealing with floating or reissuing licenses, users needing to move to different machines-- could be solved via affordable site licensing. But that might leave dollars on the table if users don’t overbuy.
Yeah, I’d suspect Rifas before dust when I hear “exploded on first power up”
I guess the assumption is more that for me, a fresh install is often about decluttering as much as anything-- the five Wayland compositors, three music players, and six pseudo-IDEs I tried and didn’t like don’t need to follow me to the next build.
In a conventional install, that just means “don’t check the checkbox in the installer next time”. In a Nix-style system, this is a conscious process of actively deciding to remove things from the stored configuration, no?
I suppose the closest I’ve gotten was recently migrating my setup from a desktop to a new laptop. Mostly copying over some config from my home directory, but even then, I wanted enough different stuff-- removing tools I don’t use on the laptop, adding things like battery monitoring and Wi-Fi control-- that it involved some reconfiguration.
I suspect the tooling isn’t quite there yet for desktop use cases.
If I were to try to replicate my current desktop in an immutable model, it would involve a lot of manual labour in scripting or checkpointing every time I installed or configured something, to save a few hours of labour in 2 years time when I get a new drive or do a full install.
The case is easier for defined workload servers and dev environments that are regularly spun up fresh.
They’ve got a guy at work whose job title is basically AI Evangelist. This is terrifying in that it’s a financial tech firm handling twelve figures a year of business-- the last place where people will put up with “plausible bullshit” in their products.
I grudgingly installed the Copilot plugin, but I’m not sure what it can do for me better than a snippet library.
I asked it to generate a test suite for a function, as a rudimentary exercise, so it was able to identify “yes, there are n return values, so write n test cases” and “You’re going to actually have to CALL the function under test”, but was unable to figure out how to build the object being fed in to trigger any of those cases; to do so would require grokking much of the code base. I didn’t need to burn half a barrel of oil for that.
I’d be hesitant to trust it with “summarize this obtuse spec document” when half the time said documents are self-contradictory or downright wrong. Again, plausible bullshit isn’t suitable.
Maybe the problem is that I’m too close to the specific problem. AI tooling might be better for open-ended or free-association “why not try glue on pizza” type discussions, but when you already know “send exactly 4-7-Q-unicorn emoji in this field or the transaction is converted from USD to KPW” having to coax the machine to come to that conclusion 100% of the time is harder than just doing it yourself.
I can see the marketing and sales people love it, maybe customer service too, click one button and take one coherent “here’s why it’s broken” sentence and turn it into 500 words of flowery says-nothing prose, but I demand better from my machine overlords.
Tell me when Stable Diffusion figures out that “Carrying battleaxe” doesn’t mean “katana randomly jutting out from forearms”, maybe at that point AI will be good enough for code.
The ability to propagate the politics depends mightily on the success of the community though. It’s sort of the other side of the ‘brain drain’ principle-- if people have to leave the community for educational or economic opportunity, they’re probably not going to be able to reconstruct the same echo chambers.
Even when you see a preserved group within a larger population (think of Chinatowns and Little Italies), they’re inherently getting a lot more cultural exchange than back in the home country.
A lot of the most self-destructive policies (neglecting education, running the environment into the ground, skate-where-the-puck-was-in-1972 economic policy) are just begging for decades of brain drain. The kids are going to leave because there’s simply nothing there but the Gizzard Extraction Plant, and that got automated in 2032.
As a reptile keeper who knows full well they don’t know when to stop eating, I find this story charming. I want to feed her a basket of eyes (pre-frozen to kill parasites)
One hour from new classic myth to kawaii. I think that’s near Rule 34 turnaround speed.