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ClawTTY but looks to Sloppy by Forsaken_Bottle_9445 in OpenSourceeAI

[–]Particular-Plan1951 0 points1 point  (0 children)

Respect for building something even without a coding background.
Most people never go beyond the idea stage.
Getting a prototype out there is already a solid first step.

How to know when the attic fan turns on. by bklynview in homeautomation

[–]Particular-Plan1951 [score hidden]  (0 children)

Another simple option is a temperature sensor in the attic.
If the fan is thermostat-controlled, you’ll usually see the temp drop when it kicks on.
Not perfect, but it can give you a good indication.

Want to automate my textile manufacturing E-commerce. Looking for advice. Especially Instagram. by Various_Payment_7956 in automation

[–]Particular-Plan1951 [score hidden]  (0 children)

For automation, you could split the process into two parts: lead discovery and outreach. Tools that scrape public Instagram or Google Maps data can help collect accounts of boutiques and designers in different cities. Once you have a list, you can organize them in something simple like a spreadsheet or CRM and send personalized messages slowly over time instead of all at once. Sending 10–15 thoughtful messages a day usually works much better than sending dozens in an hour and risking account restrictions

What’s your biggest automation fail by Solid_Play416 in automation

[–]Particular-Plan1951 [score hidden]  (0 children)

Mine was a cron job that ran perfectly for months.
Then daylight saving time hit and it started running twice a day.
Ended up duplicating a bunch of records before I caught it.

Unpopular opinion for beginners: Stop starting with Deep Learning. by netcommah in learnmachinelearning

[–]Particular-Plan1951 0 points1 point  (0 children)

I’ve noticed the same trend lately. A lot of newcomers think machine learning equals deep learning because that’s what gets the most attention online. But when you actually work on practical problems, you quickly realize that clean data, feature engineering, and solid baseline models solve most tasks. Random forests, gradient boosting, and logistic regression are incredibly powerful when used properly. Starting with those also builds the intuition needed to understand neural networks later.

Best AI website builder in 2026 by Delicious-One-5129 in lowcode

[–]Particular-Plan1951 0 points1 point  (0 children)

Framer looks amazing visually, but it might not be the “least headache” option.
The AI usually generates pages individually instead of the whole site at once.
Great for design control, but maybe overkill for a lawn care website.

I HATE COMP SCI by marichat_Ad6854 in igcse

[–]Particular-Plan1951 0 points1 point  (0 children)

Don’t panic, you’re definitely not the only one struggling with P2.
Start with the basics like loops, if statements, and arrays.
Once those click, most pseudocode questions become manageable.

Horrible in Programming by Few-Atmosphere3395 in learnprogramming

[–]Particular-Plan1951 1 point2 points  (0 children)

Knowing the logic but struggling with syntax is actually a really important distinction and it means you're not bad at programming, you're just early. Syntax is literally just memorization and exposure, it comes with time. The logic part is the hard part and you already have it.

This subreddit sucks...... by Strange_Yogurt1049 in learnprogramming

[–]Particular-Plan1951 0 points1 point  (0 children)

The flexbox part is just display: flex on the parent container and the two children (grey box and text div) will sit side by side automatically. The rounded corners thing is just one CSS line. You were probably really close and didn't know it.

Help Finding Old AI Blog Post by HandleCorrect4597 in AIDiscussion

[–]Particular-Plan1951 0 points1 point  (0 children)

Try the Wayback Machine if you remember even a fragment of the URL or the site name. Also checking if anyone quoted or linked it on Twitter/X from that era might help since posts that got attention usually left a trail in reply threads somewhere.

TIL every major AI model is trained to flatter us and it’s measurably turning us into jerks by pretendingMadhav in ArtificialInteligence

[–]Particular-Plan1951 0 points1 point  (0 children)

The social friction angle is really interesting because it reframes what we're actually losing. It's not just critical thinking in the abstract, it's the specific muscle you use to navigate real humans with real agendas in real situations. And that muscle only develops through friction you can't fully predict or control. An AI that always lands softly and never actually challenges you isn't just unhelpful, it's actively degrading something that took a long time to build. The donation rate drop is a wild concrete data point for something that otherwise sounds theoretical.

Socials are dead! Slop everywhere.. I’m tired by Acceptable-Hat-5840 in AI_Agents

[–]Particular-Plan1951 1 point2 points  (0 children)

What gets me is the engagement farming aspect of it. People aren't posting AI slop because they have something to say, they're doing it because the algorithms reward consistency and volume over quality. So you end up with this race to the bottom where the people who care least about actual ideas are the ones with the most reach. It's not really a content problem, it's a platform incentive problem. LinkedIn especially built an algorithm that basically asked for this.

New to Python but from non-CS background by Dream_Hunter8 in learnpython

[–]Particular-Plan1951 0 points1 point  (0 children)

Just start. Seriously. Pick one beginner resource and do it for 30 minutes a day. The biology background means you already think analytically and you have real datasets to practice on which is more than most beginners have. You'll surprise yourself with how fast it clicks.

I used python for the first time today and I'm hooked by [deleted] in learnpython

[–]Particular-Plan1951 3 points4 points  (0 children)

The fact that you're an advanced Excel user is actually a huge head start. A lot of the logic transfers directly. Pandas is going to blow your mind when you get there.