I have already begun using my proton-domain email address with real people. They have just started learning it (or have finally updated my contact info). That’s one hurdle.
Another hurdle is I see no other good alternative. I used Fastmail for a while, but it was a bit laggy due to network requests across the Atlantic Ocean. Also it is under US jurisdiction. That company is no longer relevant to me.
I still think it is a valuable use of my time to make my voice heard to the company.
Weird. FastMail is many times faster than Proton ever was for me. FastMail is also headquartered in Australia, not the US. Fastmail also now has European servers.
Data regions like these offer no protection, it’s just a feel-good marketing term with no legal basis. Source: I work in this business with multinationals with a similar footprint and we have paid actual lawyers to look at it.
The only thing that unfortunately matters here is that Fastmail has a US incorporation.
Fastmail even writes as such:
> If what you need is a guarantee that your data remains only in the EU, we don’t have that, and we’d rather tell you directly than let you assume otherwise.
If you haven't already, it's a good time to pay for a domain. That way, no matter what host you may choose to use in the future, people will still be able to email you with the address they already know. It does add some additional cost, but imo it's well worth it.
Would you rather trust sensitive legal documents with me running a self hosted app that shares data with whichever provider openrouter chooses, or Harvey?
Isn’t this just re-inventing the index arena pattern, which nullifies much of the benefit over rust?
> Goose code holds typed references where the equivalent Rust holds u32 indices into an arena — and it is where a good share of the benchmark wins come from.
> my default assumption now is that Anthropic’s public engineering presentations are largely bad-faith ripoffs. That’s a shame.
Couldn't agree more.
I got nervous when the company claiming to be working on the most impactful technology in human history takes time away to instead brag about writing a slightly more efficient version control system.
The fact that they didn't actually build the side project themselves, and ripped it off from someone else also calls into question their good faith mission to shepherd humanity into a new era...
Is it surprising? The bulk of their work is largely derived from existing works themselves, nothing original, everything probabilistically paraphrased and then post-trained by lowly-paid, ESL workers resulting in the really annoying, mic-droppy writing output. It will never be original, it will never be new, it will always only be derivative.
They have not made anything revolutionary, they have only ever made evolutionary derivatives of medium-to-high quality with no accreditation or financial support for the original authors (at least not without being forced into a class-action over it).
Hard disagree. Claude and other frontier models are clearly a huge accomplishment, are already changing the world, and continue to get better.
Despite the real innovation, the way Anthropic communicates their work often comes across as disingenuous.
"Our models wrote a new VCS" is very different from "Our models adapted existing VCS to our bespoke needs". Both are impressive, so why over inflate the claim?
LLMs existed long before Anthropic came to the scene. Tensor logic was not created by them, only implemented. An engineer does a lot of cool good things, sure - but it's the theory grounding it that's revolutionary and that was not private enterprise driven.
I had a browse around a few states like Indiana and North Carolina, and was able to find plenty of low cost lots, even large ones, but the general problem is that they are miles away from civilization and on tiny local roads that may become an issue in winter.
It'd be useful to filter by proximity to a larger city, or airport.
Very cool idea though - some amazing large lots with beautiful views if you don't mind being pretty isolated.
When Fable first released, I had it "one shot" a project using an initial spec and a team of agents. I was blown away with how good the results were.
And then I noticed some links to images from random small github projects and realized somewhere along the way agents had searched for existing projects and copied almost everything.
I wonder if something similar happened here on a larger scale.
I think a lot is memory really. For fun you can try pointing just about any model against the older kaggle challenges and it’ll come up with more or less the winning solution from memory. It’s here where you see a Gemma 27b perform about the same as opus 5.5
There actually was lot more hand-writing of the code back then! Or, at least, only moderately assisted by Claude with a lot of human-still-typing-things-in-an-editor. The ability to delegate larger chunks of code to Claude had a noticeable, step function increase with Mythos Preview.
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