GPUs aren’t becoming outdated in practice. An H100 still rents for something like $3/hour. The only reason to take them offline today would be due to limited data centre capacity. In space, that doesn’t apply.
For now, at least, this market doesn’t behave like the one for CPUs which are more fungible and general purpose.
Rather than thinking about the value of a GPU over time, it’s more useful to think about the value of a model (or generation of models) that will run on the GPU.
Sol 6 launched last week. People will build products/agents/systems on Sol 6. Many of those will end up staying on that model for the lifetime of the end product, which means there will be long-term demand for the model, and that means long-term demand for the GPU set that the model runs on.
For now, at least, models are tuned to a specific GPU and don’t move to the newest hardware very easily.
At the end of the day, will the lifetime value of a GPU exceed the cost of launching it into space? That’s TBD. But there’s growing evidence it might.
Well, I've tried to get around it for our corporate SEO blogging strategy, and I've found that it's just not possible to do it (even with really crazy techniques where you have different models combined to produce the output, or you change your prompting style massively). The minute I take the same article that the LLM gave me and I rewrite it in my own voice (meaning just take the information and topics, but rewrite it from scratch), the post works immediately and passes as 100% human on Pangram.
The only thing that gets around that is StealthGPT, but it mangles your intent in the output so badly that it's easier to just write the thing yourself.
Specular light sources always like ornamental balls in out of focus areas. What's wrong with it here is they are much brighter along the outside than the middle, and they have a funny shield like shape.
That said, I can't see this with the image open filling my 27" monitor, I can only see it zooming in. Perhaps if you are printing a wall sized photo, use a real camera.
Yes, this, and the article seems pretty clear that only "some data stored exclusively in Bahrain" is affected. Add to that the option to store data with reduced redundancy (in S3, for example), and I don't really see what the drama is about.
Amazon only claims "99.999999999% durability" per year, even for the properly replicated stuff.[0]
Now I'm thinking about legal/contractual rules that might force that kind of geographic risk.
I mean, logically you could have the Allowable Location send pre-encrypted backups to anywhere in the world, except (A) laws and regulations aren't always logical and (B) you still have the problem of keeping the decryption keys somewhere safe without leaving the key jurisdiction.
This is likely the start to a useful approach. I suspect the crux of the challenge is that engineers who need to write code get very pedantic in their questions and picking the answers apart (because we need to be! code leaves no room for ambiguity or intuition). And you can imagine how that feels from the other side. I imagine a lot of people feel like an engineer asking about the actual problem feels like getting goaded into some sort of pedantic debate. A natural response will be to try to dictate what to build (often micromanaging) and avoid the discussion about why at all costs. Writing offers a bit of a neutralizing buffer, at least.
> I imagine a lot of people feel like an engineer asking about the actual problem feels like getting goaded into some sort of pedantic debate.
Wow, that's describing it really well. I work for a guy who basically started a company by trying to vibe code his ideas into existence (late 2023 LLMs) and realized he would need actual developers to get anywhere.
It was excruciating trying to make him answer questions to get proper domain modelling going since LLM use had made him think of software as being wished into existence in a "declarative" way.
Not to mention the heavy contrast my persistent questioning had to a background of sycophantic yes-man claudespeak.
I was really wondering what these replies were talking about until this one - when I remembered a guy I used to work for that was just like this.
I think I have been pretty lucky the last 5-6 years of my career at least, where someone asking those questions is treated as trying to drive the team to a better result, rather than a pedant.
Uber exited the autonomous vehicle race several years ago. AFAICT, largely because of this mismatch. Who's still in this area (in a serious way) that behaves like that?
You can request a ride via Uber. They aren't building the tech. I find it a bit unclear who is operating the fleet (Uber or Wayve), but that seems irrelevant when the question is whether the vehicles' autonomous technology is safe.
I had an LLM reverse engineer the API protocol of LADBS and extract the content I wanted. Wether that scales from one property to many (rate limits for one) I don't know, but I didn't encounter anything in the thousands I extracted.
Most of this has me rolling my eyes (“cadre of radical hackers”? really?), but this part is interesting:
> The A/I Collective… manually vets all potential users for ideological affinity before granting them access to its infrastructure.
What is the truth behind that? Such behaviour would undermine A/I’s claim they are akin to Gmail if they explicitly are not a neutral ISP. After that, it becomes a question of degrees: what were their specific criteria for access to the platform?
Asking out of genuine curiosity. I wasn’t familiar with this group before today.
A lot of the state department’s claims of “violent groups” are BS but it also seems like a non-zero number of them are pretty violent organizations.
There’s a big difference between “we have designed our devices to be zero-knowledge but we act swiftly against violent/illegal activity if it’s discovered” versus “we actively endorse the views of our user base.”
That's exactly the point though: if you are choosing to platform some and not others, and some (many? most?) of the groups you are choosing to platform are violent groups, you very quickly run out of plausible deniability.
For now, at least, this market doesn’t behave like the one for CPUs which are more fungible and general purpose.
Rather than thinking about the value of a GPU over time, it’s more useful to think about the value of a model (or generation of models) that will run on the GPU.
Sol 6 launched last week. People will build products/agents/systems on Sol 6. Many of those will end up staying on that model for the lifetime of the end product, which means there will be long-term demand for the model, and that means long-term demand for the GPU set that the model runs on.
For now, at least, models are tuned to a specific GPU and don’t move to the newest hardware very easily.
At the end of the day, will the lifetime value of a GPU exceed the cost of launching it into space? That’s TBD. But there’s growing evidence it might.
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