r/blogger

New dotBeat blog post: Trust But Verify. Then Verify Again.

This one is about using AI to help build a music learning tool, and why I’ve learned to check the musical assumptions underneath the code.

I’ve had AI confidently get music theory wrong, including a re-entrant ukulele slash-chord question where I had to call out the mistake three times before it stopped trying to make the answer work.

That does not mean AI is useless. It does mean I don't treat it as the authority.

Civil disagreement is welcome. Brutal drive-by comments, less so.

Read it here:

https://dotbeat.app/blog-trust-but-verify

🔗 Link: God Wants Everyone to Be Saved
📖 Blog: Journal of a True Christian

📝 Snippet / Summary:
God Wants Everyone to Be Saved explores the contrast between God’s desire to save and the devil’s desire to deceive. Through 1 Timothy 2:4, 2 Peter 3:9, and John 3:16, the post emphasizes that God patiently calls people to repentance and gives opportunities to turn toward truth. But salvation is more than simply removing sin—it requires filling the heart with God’s Word and continuing to walk in His will.

The post also warns about the subtle ways deception can work through bitterness, envy, anger, division, and selfish ambition. Instead of allowing these things to grow, believers are called to replace them with forgiveness, love, unity, and righteousness. Since God desires even those who have offended us or need correction to be saved, Christians should correct without hatred, speak truth without malice, and help one another remain in the truth.

🎯 Value Intent:
To remind readers that God’s desire is salvation, not destruction, and that this should shape how we treat others. True spiritual discernment is not merely recognizing the enemy’s deception—it is choosing truth, love, forgiveness, and unity so that we do not become instruments of division ourselves. The post calls believers to hear God’s Word, keep it, and help others remain in the truth.

💬 Discussion Prompt / Flair:
“If God wants everyone to be saved, how should that change the way we correct, forgive, and deal with people who have offended us?”

When Richard Dawkins spent 72 hours conversing with Claude, he struggled to believe it wasn't conscious. OpenAI’s retirement of GPT-4o sparked genuine grief among users who felt they lost a companion. But are these systems actually sentient?

History shows human beings are exceptionally easy to fool when a machine performs human-like tricks:

• In 1966, ELIZA used basic keyword matching to flip words into questions, leading people to confide intimate secrets.
• In 1998, Furby was marketed as computer intelligence that learned English, even though language was on an internal timer.
• In 2011, IBM Watson was praised for "understanding" language when running statistical confidence checks.

Modern AI models process trillions of text tokens to master next-token prediction. While researchers have found internal structures called "functional emotions" that tweak outputs, this is engineered behavior, not real feeling.

AI is a brilliant piece of technology, but its "sentience" is a performance. The danger isn't that machines feel—it's that we act as though they do.

Read more: https://www.alanbonnici.com/2026/07/the-ai-revolution-history-repeating.html