So people are pushed to their limits at work, but a university neuroendocrinologist suggests living a relaxing life that would require blander diet. What a wonderful solution!
Not sitting in a noisy open office surrounded by colleagues that hate and backstab each other but instead at home seems to me like a major mental health win. Instead we got "remote work bad" study... Feels like another soft science "desired outcome" result.
> GPU compute (not rasterization) it’s between an M4 Pro and M4 Max without considering bandwidth
You are likely thinking about token generation which is dependent on memory bandwidth where Apple has an edge. Spark's GPU compute is way higher than even M5 Max (17 FP32 TFlops), around 2x FP32 TFlops... It's literally 6144 CUDA cores like desktop 5070, slowed down by slow memory and lower TDP (29.7 vs 31 FP32 TFlops on 5070).
That’s only if you consider FP32 specifically. On average the M5 Max will pull ahead for tasks like GPU raytracing (it’s currently the fastest mobile GPU for Blender rendering) and token generation and other things that benefit from the higher memory bandwidth.
I’d also mention that you’re comparing peaks which the RTX Spark won’t be hitting. The top TDP is less than that of the DGX Spark.
I just think anyone calling this a beast and a game changer are conflating/extrapolating from different form factors and constraints
cool story, but nobody cares about mobile GPUs for blender. A 4080 eats an M5 Max alive for breakfast. The 5080 in my machine that cost me 1500€ runs circles around an M5 Max that would cost me over 6000€. And when in 5 years the 5080 isn't enough, I can upgrade it to a 7080 or whatever, which will remain compatible.
If you're a professional, soldered products like the RTX Spark or Apple's offering are a dead end. They are literally never worth it.
As a professional in the space, a ton of people DO care about mobile performance. If you’d go to SIGGRAPH in the last few years you’d see how the landscape has really changed.
It’s not going to be the primary place of creation but there’s a lot of usefulness in having a portable workstation or that entire segment of the laptop workspace wouldn’t exist.
In either case, it’s besides the point because the point is talking about the compute levels of a GPU in the same form factor.
Exactly. A 5080 is just an enthusiast gamer card. If you're part of a large company that requires you to run Blender/3DSMax/etc (read: disney/pixar sized), you're going to have an A6000 in there, or even just a render farm.
Game dev & asset work is probably happy with a 5080 and that's what most rendering/dev machines would have.
The addressable market of "i have 6000 to blow and i need meh performance on anything related to 3D rendering" is small, and benchmarks make it look bigger than it really is.
Ironically the two studios you mentioned don’t actively render on GPUs and it’s an area which shows that even these small SoCs can punch way above their weight if you look at their pure compute power.
Disney’s Hyperion is CPU based and RenderMan XPU is just exiting beta after over a decade.
But while they do stack their workstations with higher end GPUs for artist throughput in viewports it’s mostly just for the higher memory to fit unoptimized scenes in. None of the studios or major films I’ve worked on have had their on desk artists be raster rate gated but just memory gated.
But again, besides the point, because it’s still valuable as a metric to compare with when comparing perf between similar chipsets.
There are already more creatives using their consumer grade hardware to make stuff. And even the studios you mentioned do actually use laptops on the go for parts of their creation pipelines for various things like virtual production scouting etc.
NOKIA was the only competitive/innovative EU company until US funds with high stakes in MS bought it, planted their trojan horse of a CEO and made it into a headless chicken sacrificed for a chance of MS to stay relevant in the mobile industry.
OK, so a bunch of larger behind-the-times EU tech companies get a few billions over a few years. So what? If they were capable of executing before, they would have been competing already. Some bureaucrat is not going to conjure up desired qualities.
Ebola is a bad example as the easiest way to prevent it is to ban bushmeat markets (or at least some types of bushmeat), but for some reason that's never discussed.
> Wild meat, also known as “bushmeat,” refers to the meat of wildlife species hunted or collected for human consumption. USAID staff developed the Wild Meat Learning Agenda to generate and share evidence to inform efforts to improve wild meat programming and to understand those connections to food security, health, and conservation. The Learning Agenda defines learning questions and associated activities to address those questions.
95% income tax would remove any incentive to go above and beyond and you end up with collapsing economy where everybody is doing the bare minimum. See Soviet economy outcome and tofu dreg buildings.
95% over 20 million. Average Joe is never going to see 20 million in his life, so it's not exactly a concern for him. You can adjust the value as necessary to only apply to the top 1-2% or so. You can still have 20 million, and even more on top of that if you keep earning. Just most of that extra money will go back to society instead of being locked away inside a bank account forever
As a long-long-time Lego fan, yeah, some of us will buy the 'knockoffs' if they provide something different that Lego itself wont.
I myself have tried many of the non-Lego lego sets over the years. One that has been holding my attention recently has been Lumibricks, which integrates lights into the sets, and is also cheaper than official Lego sets for similar part counts. One of the big things I've found is that where Lego wins a lot of points is on their instructions and build steps. Many other companies either make their instructions hard to read or parse, or don't do a good job with progressively building up subassemblies so they don't collapse in your hands. But there are some Chinese companies that are now making the entire experience a similar quality level as Lego does. A lot of the 'knockoffs' also focus more on the visual of the model rather than the play. Lego itself is often willing to sacrifice some realism to make sets be more playable, much to the chagrin of some fans.
Lego used to have a huge moat in manufacturing. They made good molds, they perfected the processes for making pieces (barring a few problematic colours....cough brown and dark red) and they invested heavily into clear design targeted towards accomplishing a certain level of play and excitement from those buying and building the Lego sets. Now though, those things are not a moat, they're just basic table stakes, and there are a lot of other new players entering the market who are doing just as good. I've seen multiple stages of Lego's evolution over my life, and I think they're going to need to come up with something new that's not just a silly expensive noise/light brick to continue to command the price premium that they do. Sure, their IP deals will probably float them for a while, but without bringing something new to the recipe, they might slowly start to go the way of jello deserts.
why not if it's the same thing for 1/3rd to 1/10th of the price? I mean you can buy some of them for one tenth, at that price is no brainer, I wonder why nobody imports them to Europe, it's same fun, no matter the brand
we bought for son among others some motorbike model for like 10€ in China, same thing grim Lego would cost here in Europe like 50-80€
it's already a thing in China, you can buy Lego clones for 1/10th - 1/3rd of the original one
it's crazy how much ask Lego for few order of plastic, I couldn't believe how cheap rest clones are in China, it's shame they are not that cheap on AliExpress
lego doesn't have patent on brick, so they can be exactly same and compatible, from my experiences only difference is in manual
> “speak the language” of the concepts the LLMs have produced
LLMs don't produce concepts, they just predict next tokens; they can't invent new concepts, only synthesize what is in their probability distribution already. They can mix/fuse vast areas of math together that are inaccessible to individual mathematicians, but can't create new concepts not present in their probability distribution.
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