Arkfile

Open-source, encrypted file vault. | Go/Python/C, SI, BTC, XMR, Hard Tech, Finance, Inspiration. PayNym: +bc1984

[Arkfile @Arkfile_OSP]

Your files, through the storm.
https://t.co/BdYGFM8ffI

[Arkfile @Arkfile_OSP]

At $7,500 per troy ounce, gold's market cap will surpass $50 Trillion. @IGWTreport

[Arkfile @Arkfile_OSP]

Is Apple worth five trillion dollars? 👀

[OpenBazaar @openbazaar]

Building in lightning support, btc and monero payments

[Arkfile @Arkfile_OSP]

I remember.

[OpenBazaar @openbazaar]

We are a project aimed turning the #DarkMarket proof of concept into reality bring decent. markets to the masses

[kepano @kepano]

corollary: if your data is stored in a database that a company can freely read and access (i.e. not end-to-end encrypted), it's only one breach away

cf. Notion breach

[Eastern Bloc Visuals @eastblocvisuals]

TIME magazine world map, 1950.

[Arkfile @Arkfile_OSP]

If you're making strong claims about what others should invest in, you should explain what evidence would change your mind and when you'd reassess. Otherwise, how can anyone distinguish a thesis that's taking time to unfold from one that's just wrong?

[Arkfile @Arkfile_OSP]

I've tried to give your thesis a fair hearing despite disagreeing. But I've asked a straightforward question about its timeframe, and you still haven't answered it. Explaining your willingness to wait doesn't tell an investor how to distinguish being early from being wrong. That's a significant gap when you're claiming their thesis "forces" them to own Bitcoin. I'll leave it there.

[Arkfile @Arkfile_OSP]

Thank you for engaging. It is interesting to consider that AI may have less of an impact on the world and productivity than we might hope for now.

But assuming AI does still lead to the Super Abundance scenario, in what time frame would you expect the AI-to-Bitcoin Investment thesis to play out? 5 years? 10?

[Arkfile @Arkfile_OSP]

I've been in Bitcoin for 13 years and orange-pilled about 13 people using these same arguments. I believe in its strengths. But what would make you reconsider this particular AI thesis, and over what timeframe?

If AI keeps advancing without the shift to Bitcoin you predict, when does "still early" stop being an answer? Bitcoin succeeding for unrelated reasons wouldn't validate this thesis.

[Arkfile @Arkfile_OSP]

Every AI agent seems to expect ripgrep to be on the machine, but none ever ask `which rg` or `command -v rg`, now do they?

[UNGOVERNABLE 🖕🏴‍☠️ @ungovernables_]

The government was hostile to Bitcoin.

Then it realised that with KYC on-ramps, Bitcoin is the ultimate surveillance tool.

@leamuirleyn on why Samourai and Tornado Cash were attacked: their tools worked.

https://t.co/lFse7Fpx8Y

[Arkfile @Arkfile_OSP]

Fable 5.2 Thought 82s

... That's gonna cost me!

[Arkfile @Arkfile_OSP]

The future is black market imported electrified emp hardened toyota hiluxes retrofitted with propane generators for backup power, running in airplane mode.

Who's building this?

[Mynymbox @mynymbox]

Since we have dropped @BtcpayServer a while ago and moved on to @BitcartCC we have started to develop some plugins. The first one is Lightning via Spark. With this solution there is no need to run an LN node which makes the things a way easier for us. The plugin automatically swaps LN funds to BTC on chain when a treshhold is reached. @sethforprivacy with his Flint solution for BTCPay was our blueprint for the swap process. The other difference is we use the original Spark SDK and Flint uses the Breeze SDK.

We have also developed a @TrocadorApp plugin for Bitcart and a @Zcash plugin. Both will be pushed to github soonish.

https://t.co/7dNUgQ7wcG

[EGOIST @localhost_5173]

Almost 6K stars for MyGo, now it got a new domain: https://t.co/vMZhuetFzH you can also sponsor the development now https://t.co/gNg2l3VLjE

[JS0N Haddix @Jhaddix]

I (and @xssdoctor) were just talking about our experiences the other day, for bounty and pentest work.

We have the opposite experience.

Running Abliterated models drastically changes offsec CoT and hence outcomes for cyber testing.

If you watch your chain of thought in a normal model, you’ll notice it taking a significant portion of your inference or tokens to argue about the tasks validity, safety, scope, and system prompt directives. PAGES of garbage reasoning polluting your attention mechanism for the transformer. It may get to “ok, I’ll do it” but you’ve wasted time, attention, and tokens, and have context pollution for future generations.

Abliterated models don’t do this. That and they also have the latent space to ideate and find solutions to things a normal model won’t.

[Philip O'Toole @general_order24]

The latest release of rqlite - the lightweight, fault-tolerant database built on #SQLite - is out. Lots of new improvements, bug fixes, and features including server-side encryption for your cloud backups.

https://t.co/Hzv6VtAjBs