nl
Joined 18 years ago
Joined 18 years ago
I'm old enough to have lived without the internet. I'll take this over that anytime.
> Facebook has shown it cares more for money than being a steward. Don't see how you can trust them.
It's precisely this love of money that make me trust them. They value what they get from my data, so they do their best to keep it to themselves.
That's much better than ISP (for example) that sell raw traffic data.
Does this mean you recommend not using one? Because that goes against all the common best practice recommendations from when I did a couple of years working in Web3 stuff a few years back.
> I think it's naive to suggest that self-custody is just a novelty with no value.
That's not what I suggested.
I suggested that it is less secure over time than centralized exchanges, even with the things you listed.
Convenient date to pick there.
> which of those assets would you have preferred to own and why?
NVDA.
It's a productive use of resources, not a last-fool-standing pyramid scheme.
Given things like the ledger hardware attack[1] I think the time indexed risk of using a centralized exchange is probably lower than doing self-custody.
I understand that many people do self-custody for philosophical reasons, but I think trying to disguise this as a security decision ("If your crypto was stolen in this, it wasn't your crypto.") is arguable at best.
[1] https://www.ft.com/content/70f69253-6017-4259-95c9-48bf0e088...
I have a Facebook account and use Instagram.
My reasons are many:
I believe it should be my choice what happens to my data, and don't particularly care if Meta has the parts I share with them.
I don't believe advertising is intrinsically evil, and in fact I think it's probably been a net-good for society.
I think Meta is a better steward of my data than ISPs or telecoms.
I didn't particularly want the ugly app, but it is implemented in GadgetBridge[1], which is on codeberg.
That's an Android app, but I wanted a MacOS version.
I LLM-reverse engineered the API based on the GadgetBridge work and now have a MacOS version, specific for my device. As part of that I worked out how to do temperature monitoring (which GadgetBridge doesn't support). Normally I'd contribute that back, but codeberg has been very explicit on their policy of no-LLM work, so I guess I won't do that.
So much for community.
Further:
> They were trained on stolen information, and where they didn't break the law they corrupted social contracts.
I completely reject this framing. Learning on something has always been part of the social contract (public libraries are a great example).
They have what seems good prices, but then you realize the "Pro" plan only includes "Pro" models, not "Advanced" and there is no list of what is what.
So you Google and find the Reddit conversations where it turns out hardly anything is included.
OTOH if you are really concerned about privacy it's probably not the best choice (it's random people's machines).
I recently implemented a beam-forming microphone with LLM transcription (offloaded to a browser model)[1] and was able to get all the beamforming and noise cancellation DSP code running on the second core along with the UI, while the and webserver that streams audio uses core 0.
I don't use SIMD myself, but it uses esp-dsp which is already using it.
It's certainly not a clear downside.
Google still has to build and run the chips they rent to Anthropic. I think from their last earnings Google makes ~30% on it, excluding R&D costs. It's a nice business for them, but hardly the thing that is going to make or break Anthropic as a business.
You're glossing over
> every single niche they've tried to launch and failed to get any traction on.
This isn't true. I personally know a company that has trained over 300 companies this year to use Claude Cowork mostly for "business operations" type tasks.
People love offloading boring, repetitive tasks to it. And the spend is spending - most start on a free plan and after 3 months have multiple people on the Teams plans.
> Chinese models are pretty much on par.
There isn't even an open source harness that is close to Cowork. ChatGPT work is closest, but everything else if coding focused and a mess for people who aren't coders.
Did some decentralized databases work and private ML work.
Formally CTO at a startup working on AI for strategy/policy work.
Always happy for emails or tweets at me.
http://twitter.com/nlothian
firstname.lastname at gmail.com