u/Organic_Leader_8472

Quick answer

Claude Mythos is Anthropic’s most capable 2026 model so far. It is genuinely strong at math and reasoning and unusually strong at computer security. As of June 2026 it is not public: access is limited to about 150 organizations through Project Glasswing, with a public Mythos-class release expected within weeks. Most of what circulates online mixes a few real facts with a lot of speculation. This guide sorts the two.

Read blog post: link

I’ve been thinking a lot lately about something most people completely ignore when using AI tools, the actual cost of a prompt.

Not the subscription fee. Not the API pricing charts. I mean the real cost.

Every time you type a prompt, you’re spending something. Sometimes it’s money if you’re using tokens, but more often it’s time, clarity, and output quality. A messy prompt usually leads to a messy answer, which means rewriting, rethinking, and trying again. That cycle adds up fast.

After working in SEO for decades, I’ve seen the same pattern repeat itself. The people who get the best results aren’t the ones who ask more questions. They’re the ones who ask better questions.

Here’s where it gets interesting. Most AI tools process prompts based on word or token count. That means longer prompts can cost more, especially at scale. But shorter prompts aren’t always better either if they lack direction.

So the real goal is efficiency. Clear intent. No wasted words. No confusion. I started paying attention to how long my prompts actually were, and it changed how I write them. If you’ve never checked yours, it’s worth trying something simple like this:
https://www.wordcountertool.net/ai-prompt-word-counter

It gives you a quick sense of how much you’re feeding into the model before you even hit enter. Not saying everyone needs it, but once you start thinking in terms of prompt cost, you’ll notice how much output improves just by tightening your input.

Curious if anyone else here tracks this or if most people just wing it?

I finally understood voltage drop in the simplest way possible, so sharing this in case it helps someone else.

Voltage drop is basically the loss of voltage that happens when electricity travels through a wire. The longer the wire run and the higher the current, the more voltage you lose because the wire itself has resistance.

A practical example:

• You have a 120V circuit
• Long cable run to a garage/workshop
• Undersized wire
• Heavy load like a compressor or heater

By the time power reaches the equipment, maybe it’s only getting 112V or less instead of the full 120V.

That can cause:

• lights dimming
• motors overheating
• poor equipment performance
• wasted energy as heat

One thing that confused me before was WHY it happens. The easiest explanation I found is that current flowing through resistance creates energy loss, and that loss appears as a drop in voltage. Ohm’s Law is basically the core idea behind it.

A Reddit explanation that made it click for me:

I also found that many electricians try to keep voltage drop under around 3% for branch circuits.

If anyone needs to calculate it quickly, this calculator was actually pretty useful:

VoltFlow Voltage Drop Calculator

It lets you test wire size, amps, distance, copper/aluminum, etc. Made sizing wire runs way easier for me.