DC Voltage -> pin 1 is ground on the right, pin 5 (three pins in between) 5 Volts
Old cables didn't even pass continuity but still charged?

Why LLMs will transform development but not how you think

it's about how AI tools are enabling a new category of software that simply couldn't exist before.

When someone can describe their specific needs conversationally and receive working code in response, the economics of personal software development shift dramatically.

Think of it this way: just as spreadsheets enabled non-programmers to perform complex calculations and data analysis, AI-assisted development tools are enabling non-programmers to create personal software solutions.

When giving feedback on presentations most of us are unsure what to say and how to say it without upsetting anyone. That is why I designed a set of cards that you can hand out to your audience before…

1. Messaging: the message of the talk and the call to action.

2. Clarity: how easy the talk was to understand and follow.

3. Credibility: whether the facts and arguments presented were believable.

4. Engagement: which parts were more engaging, and which less.

5. Voice: pitch, quality, tempo and pauses.

6. Language: the type of language used and variety in expression.

7. Physicality: the speaker’s body language, gestures and movements.

8. Visuals: the quality and effectiveness of any visual aids used.

9. Connection: the speakers rapport and connection with the audience.

Butterick’s Practical Typography

SVG Shapes

Explore the collection of 120+ basic SVG shapes for your upcoming project.

Simply click on a shape to copy its SVG code to your clipboard.

These baked buffalo cauliflower wings are packed with tangy, spicy flavor! Easy to make in the oven, they're a delicious appetizer or snack.

Created with Figma

When you hide an interactive element, make sure you choose a hiding technique that keeps it screen reader-accessible, position it on top of whatever is visually replacing it so that a user navigating by touch can find it where they expect to, and then make it transparent.

This technique explores using: animation with CSS transition and transform, using the :focus-within pseudo-class, CSS grid, and accessibility considerations for dropdown menus.

Follow along with the examples in this in-depth guide to learn how to draw SVG icons and simple shapes by hand.

Make a smooth css shadow

https://tobiasahlin.com/blog/layered-smooth-box-shadows/

But with a simple CSS technique, we can expand our range of options. If we use layered box-shadows we can get more fine-grained control over how shadows are rendered:

Dieter Rams, Vitsœ's furniture designer. Ten principles for good design (sometimes referred to as the ‘Ten commandments’).

Travelling Japan is cheaper and easier than ever before thanks to a recent boom in tourism.
► SUBSCRIBE for more Japan tips! https://goo.gl/Kq44VX
► GET inspiration for your trip: http://seejapan.co.uk
► DISCOVER daily ideas for your trip: http://facebook.com/visitjapanuk
► VISIT your Japan tourism site: https://www.jnto.go.jp/

Create & export mesh gradients as SVG or to Figma. Quickly experiment with grainy noise and blur. Includes a one-click export to Figma for use in designs.

A browser-based screen recorder with picture-in-picture support

You may think you already know how to do this, but here's the BEST way. It leaves you with a flat bottom (no matter how thick the ribbon is) and doesn't leave you with a bunch of leftover unusable ribbon scraps after trimming.

Wrapping paper is from City of Industry : https://www.cityofindustryshop.com/

Try topping the packages with a tiny knitted sweater on a hanger! https://youtu.be/Dl2lU5cQ48c

The page "Falsehoods Programmers Believe About Names" covers some of the ways names are hard to deal with in programming. This post will ignore most of those complexities, and deal with the problem of matching up loose user input to a database of names.

Handcrafted interactions focused on utility & beauty.

LLM’s suck at complex OCR, and probably will for a while. LLMs are excellent for many text-generation or summarization tasks, but they falter at the precise, detail-oriented job of OCR—especially when dealing with complicated layouts, unusual fonts, or tables. These models get lazy, often not following prompt instructions across hundreds of pages, failing to parse information, and “thinking” too much.

LLMs process images through high-dimensional embeddings, essentially creating abstract representations that prioritize semantic understanding over precise character recognition

Consider a simple table cell containing "1,234.56". The LLM might understand this represents a number in the thousands, but lose critical information about:

Exact decimal placement
Whether commas or periods are used as separators
Font characteristics indicating special meaning
Alignment within the cell (right-aligned for numbers, etc.)

https://news.ycombinator.com/item?id=42966958