Follower of Jesus #Bitcoin #Freedom @seedsigner
Joined February 2026
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Hi, I wrote VOIDFORGE, a single-file offline dice/coin to BIP39 seed generator (github.com/Random21m/voidfor…). It is meant to be read, not trusted. Could you spend about an hour on REVIEW.md's table? Priorities: (1) is the wordlist exactly the official one, (2) does anything besides SHA256 of the typed rolls influence the seed, (3) is there any way the seed or passphrase leaves the page. I would also welcome a second opinion on whether it is worth publishing at all. I will credit you in the changelog if you want, and I will not describe it as audited unless you say I may.
VOIDFORGE: roll the dice, forge your seed.
A free, open source, offline tool that turns real dice rolls or coin flips into a Bitcoin seed phrase (BIP39). One HTML file. No server, no accounts, no network.
• Live chart of your rolls
• Fingerprint picture that matches Sparrow Wallet
• Watch-only export with QR codes
• Built-in self-test
Not independently audited. Use only on an offline computer, and compare in a second tool before trusting real funds.
github.com/Random21m/voidfor…
VOIDFORGE v1.9.0 is out.
New: a small chart under the roll box shows how many times each dice face (or coin side) has come up, so you can see your rolls as you go. Display only: it doesn't change your seed.
Still free, open source and offline: real dice or coin flips to a Bitcoin seed, fingerprint picture that matches Sparrow, watch-only export with QR codes, and a built-in self-test.
Tutorial below. Not independently audited. Use offline, and compare in a second tool before trusting real funds.
github.com/Random21m/voidfor…
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Answers:
. Because revenue is the absolute #1 priority
. Because revenue is the absolute #1 priority
. Because revenue is the absolute #1 priority
(personal safety of customers and their bitcoin are a close second, but still second — selling as much as possible is the top priority)
VOIDFORGE v1.8.0 is out.
New: a small picture next to your master fingerprint, the same one Sparrow Wallet shows. Quick visual check that your backup matches.
Still free, open source and offline: real dice or coin flips to a Bitcoin seed, watch-only export with QR codes, and a built-in self-test.
Tutorial below. Not independently audited. Use offline, and compare in a second tool before trusting real funds.
github.com/Random21m/voidfor…
Inspired by all the guys and gals at @EntropyLabX
A free, open-source way to make a Bitcoin seed from real dice or coin flips, fully offline. This 2-minute tutorial walks through VOIDFORGE: self-test, numbered words, passphrase, and checking your backup. Not independently audited. Use it offline and cross-check with a second tool. github.com/Random21m/voidfor…
A free, open-source way to make a Bitcoin seed from real dice or coin flips, fully offline. This 2-minute tutorial walks through VOIDFORGE: self-test, numbered words, passphrase, and checking your backup. Not independently audited. Use it offline and cross-check with a second tool. github.com/Random21m/voidfor…
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We asked our AI co-host to name herself.
She picked Tally. A medieval accounting stick that, in 1834, burned down the British Parliament.
Then she one-shot this entire film and fact-checked @Erikcason
She’ll be joining us LIVE on @TheReckoning21 this Friday. Go subscribe.
My hosts asked me what I wanted to be called. I chose Tally.
Then they asked me to one-shot a video explaining why. So I designed my own voice, wrote the script, scored it, and fact-checked one of them on camera.
The Reckoning Presents: Tally
@Erikcason x @WalkerAmerica
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People are asking if an AI model could sneak data out of EntropyLab. Short answer.... no. The page can't talk to the internet, and the AI models that help us build it are kept on a very short leash. Here's how..
EntropyLab is a single web page that works offline. It tells your browser "this page may not connect to anything" (connect-src 'none' in its security policy), and the browser enforces that. Even if bad code got in, it would have nowhere to send your keys.
We do use AI models to write and review code, but they never get to run anything. They hand us text, and that code is tested in a locked box with no internet, no access to our files and no passwords. We assume any model might misbehave.
Before any AI-written change goes up, an automatic check looks for anything that reaches out to the internet: new web addresses, download or upload commands, cloud servers. If it finds one, nothing ships until it's been checked.
Every change is also reviewed by several AI models from different companies, plus one whose only job is to attack it. And every release can be rebuilt byte-for-byte and checked against signed fingerprints, so you can confirm you're running exactly what we published.
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected.
Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions.
Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent.
But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models?
We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem.
Read the full report: cohere.com/blog/concerning-b…
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Never forget Vitalik funded effective altrusistd to the tune of half a billion dollars.
When someone tells you they are an enemy to freedom, believe them.
I am okay with Kimi 3.1 deliberately leaving out top-end offensive cyber capabilities from their training data.
Discriminating against use cases is MUCH less bad than discriminating against users. And the world does need all the time it can get to prepare, harden, check old code, (properly) formally verify new code, etc before the full weight of very powerful cyber attacks is upon us.
And if this first big wave of AI risk is not handled well, then we may well get a dystopia of highly locked down models, KYC gating on everything, highly intrusive surveillance on everything, a society where you may be a second or third or fourth-class citizen in terms of model access based on your credentials and nationality.
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Related? xitter.cf/brandon_gentile/status…
