I think it's proper. When you release something like this, a raw data dump is the only way to cut out a BUNCH of the "this is modified and falsified" noise.
The login cards were the killer feature on them(at the time). I managed a fleet of them things spread all over 4 buildings. Being able to work in one location, get up and goto another and just pickup what you were doing was INSANE in that day and age. Slapping in a keycard do it all was unheard of.
We had citrix and sunray in those days. Citrix was for those that had BIG BIG BIG money and needed windows. We were a java shop, so it was either an e450 in the server room and sunrays, or ultra5s at every desk.
I never got to use this, but it seems like it would hit my dream computing environment (which has since advanced to an idea that my phone would fill that role so I could be working on my phone, plug my phone into a desktop or laptop workstation, continue working there, unplug, continue on the phone, move to another computer, etc. Apple’s Handoff almost scratches that itch, but it’s not quite as reliable or ubiquitous as I would like and the ideal would be that I have my whole working environment portable via the phone.
I never used it, but Microsoft's Continuum [1], was supposed to scratch that itch too. Your phone could drive a desktop experience when you connected (wired or wireless) to a docking station (I saw a laptop shaped dock which might have been a prototype), and with the proper implementation of UWP apps (which didn't really happen, afaik) you could interact with your apps/data equally in desktop and mobile. Didn't let you run win32 apps though, which makes it kind of limiting, but if all you do is browser, messenger(s), and office suite, it could have worked pretty well. I think this would have worked better with Intel's x86 phone cpus, but those were cancelled days before the Continuum reveal, and Microsoft also did a really poor job on WM10, so nobody knows about any of this.
The real question is whether the phone is the actual compute, or if it's just the key card that lets you access the remote compute. I think that (provided sufficient connectivity) both of those can be reasonable trade-off options, but they certainly present different views of the world.
Oh man, SunRays and e450s, desktop sessions that ran 24/7 on beefy servers accessible from anywhere, U5s with those type-V membrane keyboards... Every detail of your post makes me warm and fuzzy with nostalgia. :-)
(Except the Citrix. I never admin'ed that, only used it for a few gigs.)
I saw those in use 20 years ago, when physics-class visited the local nuclear-science research center. It felt like Sci-Fi then and I have not yet seen this replicated anywhere else sadly...
They can claim that...but if you've built a public SaaS before you know the job is not to host the software, it's to put rails around people taking it down. They've had since 2008 to build those rails, and they're just now hitting places that take the service down on the regular?
> I imagine the clutch is easier on the knees these days!
Modern tractors don't really have a clutch. I mean they sorta do, but it's electronic. Even on sizable consumer positioned tractors(I have a JD 5055, but it applies to almost all the JD models), there's just a lever for forward, N, and reverse. Gear shifters work MUCH MUCH better now.
When I was younger I absolutely HATED changing gear on the tractor - it was a matter of dropping the revs which caused a dive, then a clunk finding the gear, then a jolt as the gear took hold and the revs came back up
Changing gears while driving? Are you sure you where supposed to? Many old tractors are without synced drives, so you are supposed to select gear before you start driving. Of course you can change when driving, but then you have to match revs to not get the drop betwen
I watched some explain how deepseak got good and the Chinese approach to LLM training. Really wish I could remember it. The premise was China thinks of LLMs not as a thing separate from hardware, but gains efficiencies at each layer of the stack. From Chips to software, it's all integrated and purpose built for training.
Wonder if Anthropic is making a mistake by focusing on "consumer" hardware, and not going super specialized.
So you watched some random video from some random YouTuber, didn't even remember who made it, so much so you didn't even remember that deepseek isn't spelled "deapseak", didn't bother to even find it or verify, and then you go asserting your memory as fact on a serious discussion forum.
Comments like yours add nothing to the discussion.
> I watched some explain how deepseak got good and the Chinese approach to LLM training.
I distinctly remember reading a big pantie twisting from Sam Altman and Co that Chinese took their stuff, the stuff OpenAI and Co spent billions to create, and used that as the base for $0.00
It’s fake news predicated on China not being able to get GPUs. But it turns out everyone was getting them their GPUs by serial number swaps in warehouse.
In my AGENTS.md I have two lines in almost every single one:
- Under no condition should you use emoji's.
- Before adding a new function, method or class. Scan the project code base, and attached frame works to verify that something else can not be modified to fit the needs.
I'm curious about the token usage when it scans across multiple repositories to finding similar methods. As our code grows so fast, is it sustainable ?
I'm sold. My wife is a teacher(refuses to use a chromebook because they suck, or an Ipad because data input sucks). She'll be getting one of these. Kids probably will too. I'm having a really hard time finding another laptop on the market the hits the "i use gmail, and gdocs, and some other webapps all day" demographic so well.
A well known path....bluesky saw it with twitter. Reddit with digg. /. with digg are the ones that come to mind. Interesting to see if this works out better.
That's what a business would do if they were getting a loan from the bank instead of ravenous VCs that will pay their legal fees and settlements when theyget busted for training their models on copyrighted content, as long as they IPO within a reasonable timeframe.
That doesn't scale in the world of capitalism. Because you need to increase revenues year after year and there are only so many people willing to pay. So you either keep increasing the price (and that has a limit) or you find other ways to monetize and the current meta seems to be pay + ads.
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