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Comment Re:Ah yes (Score 1) 201

Sarifs are, in fact, for ease of reading, but point well taken. The justifications are wrong and the people making them are petty assholes.

It's true, seifs are for ease of reading ... but so is Calibri. However, I believe Calibri was created for ease of reading on screens, while this article talks about documents on letterhead. So it's possible the choice of Calibri was misguided to begin with. Furthermore, according to the article, the number of “accessibility-based document remediation cases” – which I take to mean instances where somebody requests a document be reformatted for accessibility reasons – has not declined. So he's saying that, while this is a purely subjective aesthetic choice, the original change to Calibri never helped anything anyway.

Comment Re:Wrong major (Score 4, Insightful) 71

It's an actual "AI" related term. It was just very short lived.

https://aws.amazon.com/what-is...
https://cloud.google.com/disco...
https://www.ibm.com/think/topi...

https://www.salesforceben.com/...

"A 2023 McKinsey Global Survey revealed that 7% of organizations adopting AI had already hired Prompt Engineers, indicating early adoption of this role across various industries, and Anthropic were advertising Prompt Engineering roles with salary offers as high as $375K â" which didnâ(TM)t require in-depth technical knowledge or even a tech degree.

It was touted as the job of 2024, and a year later, research suggests that the role is no longer attractive to companies. Per a recent survey commissioned by Microsoft, 31,000 workers across 31 countries were asked what roles their companies are prioritizing, and Prompt Engineer was ranked second to last among new roles companies are considering adding in the next 12 to 18 months."

https://ai.plainenglish.io/why...

"The Rise of Prompt Engineering 2020â"2024

When generative AI burst onto the scene, prompt engineering became an essential skill for anyone looking to leverage AI to its fullest potential.

Early on, AI models like GPT-3 and GPT-4 had limited capacity to understand vague or unstructured input, which made prompt engineering a specialized skill to ensure the AI generated the desired output.

Slight variations in wording, phrasing, or structure could result in drastically different AI responses, and organizations quickly recognized the potential of prompt engineers to maximize the power of these models.

Tech companies and startups recruited prompt engineers at a rapid pace, and soon bootcamps and certification programs emerged to cater to this new demand."

Comment Re:Wrong major (Score 4, Insightful) 71

I get the feeling that many people who will be opting for AI/cybersecurity are hoping to somehow get the gold star of approval that allows them to get a paycheck for not actually doing work.

Kind of like how a lot of people wanted to get hired by the big tech companies (meta, alphabet, apple, amazon, netflix, etc.) and draw a 6 figure salary for basically doing nothing - except maybe video blogging about how they were making a 6 figure salary for basically doing nothing.

I would caution people trying to treat this as the new MBA with an observation - if there's sufficient supply of "AI" degree graduates, then the individual value of that degree drops, same as with the MBA. The people getting wealthy at this stage of the game are the ones starting their own companies, or who already have established research pedigrees that make them prime poaching material.

Anybody trying to get a degree in "AI" right now that takes them out of the workforce for 4 years is going to get an incredibly rude shock when they graduate and find that most everything that doesn't relate to fundamentals (like data science, OSI, etc.) they learned is no longer relevant. Remember how hot "prompt engineering" was at one point? Yeah...

Comment Re:To All the AI Haters Out There (Score 1) 45

I mean... maybe software companies will finally start to optimize code instead of expecting cheap hardware to cover for them?

The nastier alternative is people are forced to push more of their data into the "cloud" for computing and storage, ironically, because now only the datacenters can afford upgrades...

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