My attempt to protect users from scam apps on the @AppStore has gotten my Apple Developer account flagged for termination - ironically, for "dishonest activity".
Unless it's reversed by June 30, all new installs of Sparrow Wallet will fail, and development on macOS will end.
The context: since 2023, more than a dozen fake "Sparrow" apps have appeared on the App Store, as recently as April this year. Users have contacted me after losing their savings, in some cases their life savings, to these impersonators.
I'm the developer of the real Sparrow Wallet, a desktop app, and I hold the registered US trademarks for the name and logo. I have publicly warned @Apple and the community about these fake apps from early 2024, but they keep appearing.
The app @Apple flagged was a placeholder that was never published. Its only purpose was to warn users that Sparrow is desktop-only and that other "Sparrow" apps aren't mine. This approach may have been misguided, but there was nothing dishonest about it.
I'm confident this is an automated misclassification that Apple would reverse on review - but I may be terminated before a human ever looks at my appeal. The cost would fall on @Apple's own users: blocked installs and no updates for a tool people rely on, which opens the door for more fakes.
If you value Sparrow, a repost would help. @AppleSupport
A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts.
So she ran a study. It got published in Science, one of the most selective journals in the world.
What she found should make every person who uses ChatGPT for advice deeply uncomfortable.
Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations.
The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead.
Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described.
The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding.
The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months.
Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight.
Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now.
She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.
I worked at Xbox for a decade.
When they say, "Gaming is for everyone" they literally mean anyone but you. They are trying to broaden the audience to capture as many casuals, women, LBGT, DEI or whomever they can get except for straight white males.
This is because they consider typical gaming culture to be toxic. And to be fair, it is. But that's just how males are and it's not going to change.
The ever increasing percentage of wokesters at Xbox just couldn't handle trash talking or teabagging or crude jokes. They couldn't abide it. Like it caused them cognitive dissonance.
So they focused all their effort at trying to suppress anything they considered to be "toxic gamer" culture. And they literally hate you. All of you.
They don't think they hate you. They think they are acting in the best interest of most gamers by targeting the 5% of gamers they consider toxic.
This is why they make characters ugly (can't be sexually appealing), make stories a cartoon-depth morality play, and try to minimiz violence or descriptions graphics their of.
This is why it feels like they are trying to piss you off. They are. But most think they're saving the hobby from you assholes. Not realizing you assholes ARE the hobby.
"THEY"
They are not the Jews.
They are not the Muslims.
They are not the Christians.
They are not the Iranians.
They are not the migrants.
They are not the boomers.
They are not white, black or brown.
Because this was never about race.
It was never about religion.
It was never about nationality.
It is about power.
They are multi generational psychopaths who crave control over humanity itself.
They may practice Satanism or not, it does not matter, their nature is satanic.
They control the banks and the money supply.
They manipulate economies, manufacture crises, and use social engineering as a weapon against ordinary people.
Silent weapons for quiet wars.
They have been waging World War 3 on humanity for several decades.
They pit brother against brother.
Father against son.
Husband against wife.
Left against right.
Black against white.
Christian against Muslim.
Young against old.
Divide and rule.
As long as we fight each other, we never look up and ask the obvious question.
Who benefits?
Who rules over us?
Why are our lives so painful and unnecessarily difficult?
They use paedophilia, rituals, child sacrifice, cannibalism, and moral corruption to capture and compromise their lieutenants, politicians, celebrities, and CEOs.
A captured class that implements their agenda while pretending to represent the people.
The public sees the actors on the stage.
But the directors remain hidden behind the curtain.
They operate in the shadows, protected by money, secrecy, and influence.
And because of that, they will most likely never be named.
Cowards who rule from darkness.
But the moment ordinary people realise that they have been deliberately divided, that they are being poisoned and lied to, and that their sovereignty has been quietly stolen from them, the spell begins to break.
When enough people refuse to abdicate their personal sovereignty to the pathocracy, the system that depends on obedience, deception, and division begins to crumble.
Because their greatest weapon was never money.
It was never technology.
It was never even power.
It was our ignorance of what was being done to us.
And the moment that ignorance disappears,
the quiet war ends.
Doc Malik
1. You generate Seed Words (12 or 24 words).
These are your backup DNA.
Never ever enter them online or into any app.
2. Your Bitcoin wallet turns these words into a Master Seed that is 512 bits of 1s and 0s.
12 or 24 words makes no difference (other than more entropy).
Either set ultimately produces the same 512-bit Master Seed.
But words are much easier to write down and backup than 512 random digits.
3. That 512-bit Master Seed is run through one more secure hash using the standard fixed phrase "Bitcoin seed".
Yes... really!
The exact phrase "Bitcoin seed" (along with the space) is part of the algorithm that every Bitcoin wallet uses.
This creates a new set of 512 bits of 1s and 0s, which are split right down the middle:
First half - 256-bit Master Private Key
Last half - 256 bit Master Chain Code
4. Chain Code?
The chain code lets you generate as many addresses as you want so you can receive or deposit Bitcoin.
5. These two halves together make your:
- Master Extended Private Key (xprv),
which then generates your...
- Extended Public Key (xpub).
Math makes this one-way.
You can go from private to public, but never the other way around.
6. Your xpub generates unlimited addresses and child public keys to go with them.
So every Bitcoin address has its own child public key (and thus its own matching child private key as well).
7. Your Bitcoin wallet ONLY uses your public keys and addresses to display the balance.
You don't have to memorize all of this (obviously). But the flow of what creates what is important as you see that the SEED WORDS sit at the tippy-top.
They make everything!
And thus can re-create everything.
*******
TAKEAWAY:
The original seed words and all private keys (master and derived child keys) are the hidden 1s-and-0s that control your money.
They are your private and secret signature that no one else should ever be able to access. Otherwise they can just sign for your Bitcoin.
Your hardware device (Coldcard, Trezor, Ledger, etc.) prevents these private keys from ever leaving it.
That's why we call them "signing devices."
They hold the secret, magical pen you use to sign transactions. You don't want anyone else to impersonate you.
The xpub and public addresses are the only safe parts to put online or into software (privacy aside).
If a malicious actor or fake app gets your seed words, it gets everything.
If it only sees your public addresses or xpub, it gets nothing.