Or their continued collective inability to predict or manage supply and demand, it happens repeatedly and previous events were very minor in comparison... The other obvious reason is profiteering but pretty much impossible to prove.
They are public companies, their bottom line isn't exactly secret. The only company that is really squeezing the market in term of prices is nvidia and they aren't the production bottleneck.
When supply is constrained, widgets to get sold to whoever is willing to pay the most. It’s capitalism, baby. Arguably this is a good thing, because the limited resources are allocated to the people who can create the most value from them. And high prices provide an economic incentive to bring more supply online.
Nvidia is making big profits right now because they don’t have a lot of competition for their fancy AI chips. The prices will come down when they have more competition.
That only works if the market is not controlled by basically 3 vendors and if the market isn't also pretty much impossible to break into. The value proposition is tenuous at best, the real value is being produced in other arenas, not this one.
Why is it mean? Why would you want to use a technology that is unsuitable for cold storage for cold storage? You won't even get the power / IOPS benefit if all it does is an infrequent replication of data and is then switched off.
I believe it has read speeds of 13GB/s, not 3 (unless you are referring to an equivalent array of 10 HDD). It will almost certainly be used to store training datasets and model weights. Which I assume are good use cases for fast sequential reads.
Note how that is still well in excess of what e.g. AWS EBS GP3 volumes offer (or at least used to, though even now their "80K IOPS" is measured with 64 KiB random transfers, whereas Micron measured that 42K IOPS with 4 KiB random transfers), which is what the person above is gesturing towards.
The same EBS GP3 used to be specified with 16K max IOPS at 16 KiB random transfers until pretty recently.
What’s the intended block size of these things? I thought 4KB was normal, but that doesn’t make sense at 40K IOPS, and doesn’t align with the benchmarks I’ve seen.
Also: price is expected to be $80k. I suppose density is the selling point here, not speed.
AltaVista and HotBot for me. Yahoo wasn't a search engine, it was a manually curated website directory (with a hierarchical structure), which was great for finding similar websites if you found one you liked.
You could get search results on yahoo. The directory results would come first and then search results from their current “partner.” At one point it was Inktomi, the Berkeley company behind HotBot. At one point it was Google. Before them, one of the more generic ones.
Why pessimistic? The miracle of capitalism is that it harvests the power of people pursuing their self interest for the greater good. Collectivist systems that rely on everyone sacrifying their self interest for the collectivity failed spectacularly in the past.
> Closed source software won't receive any reports, but it will be exploited with AI
How so? AI won't have access to the source code. In some cases AI may have access to deployed binaries (if your business deploys binaries) but I am not aware that it has the same capabilities against compiled code than source code.
But in a SAAS world, all AI has access to is your API. It might be still be up to no good but surely you will be several orders of magnitude less exposed than with access to source code.
Claude is already shockingly good at reverse engineering. Try it – it's really a step change. It has infinite patience which was always the limited resource in decompiling/deobfuscating most software.
It's SaaS though. You don't have access to the binary to decompile. There's only so much you can reverse-engineer through public URLs and APIs, especially if the SaaS uses any form of automatic detection of bot traffic.
Thanks you. This is what the parent post was trying to say. Don't know why it is down-voted. AI or not, if the API end points are well secured, for example use uuid-v7, then their is little that the ai can gain from just these points.
The opposite is true. Open source barely matters to attackers, especially ones that can be automated. It mostly enables more people (or agents, or people with agents) to notice and fix your vulnerabilities. Secrecy and other asymmetries in the information landscape disproportionately benefit attackers, and the oft-repeated corporate claim that proprietary software is more secure is summarily discounted by most cybersecurity professionals, whether in industry or academic research. This is also seldom the motivation for making products proprietary, but it's more PR-friendly to claim that closing your source code is for security reasons than it is to say that it's for competitive advantage or control over your customers
Also half of these countries have frequent outages. Not sure it is much of an example for anyone else (though I frequently hear experts advocating for outages in western countries, i.e. you won't be able to run your washing machine when you need it, it will be up to how much electricity there in the grid - they call that progress).
- Greater user control how is any of the other platforms they have no problem with any different than twitter?
- Real security improvements where is end to end encryption on all the other social media? And why do they need end to end encryption to broadcast a message to the public?
- Transparent content moderation wait, the EFF is now calling for more censorship?
The first two points are clearly nonsensical, only the third one has at least some logic. Though if the EFF has turned pro-censorship, I am having bad feeling for having given them money in the past.
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