Wednesday, January 18, 2023
HomePRMicrosoft lays off 10K, CNET’s error-ridden AI articles and extra

Microsoft lays off 10K, CNET’s error-ridden AI articles and extra


Microsoft will lay off 10,000 people.

The most recent in a grim record of tech layoffs is Microsoft, which introduced Wednesday it will half methods with 10,000 staff, the New York Occasions reported. These cuts quantity to lower than 5% of the corporate’s world workforce.

In his assertion to staff, CEO Satya Nadella mentioned some notifications would start at this time, whereas others would proceed by Q3.

We’re dwelling by occasions of great change, and as I meet with prospects and companions, a couple of issues are clear. First, as we noticed prospects speed up their digital spend throughout the pandemic, we’re now seeing them optimize their digital spend to do extra with much less. We’re additionally seeing organizations in each business and geography train warning as some elements of the world are in a recession and different elements are anticipating one. On the identical time, the subsequent main wave of computing is being born with advances in AI, as we’re turning the world’s most superior fashions into a brand new computing platform.

His assertion went on to pledge above-market severance and advantages. He completed by noting, “Once I take into consideration this second in time, the beginning of 2023, it’s showtime – for our business and for Microsoft.”

Why it issues: Tech layoffs are mounting at a ferocious tempo, even at corporations as soon as seen as bulletproof. Nevertheless, it’s vital to maintain that in perspective. The general U.S. unemployment price is simply 3.5%.Whereas these cuts are devastating personally and for these organizations, tech is just not the entire U.S. economic system.

For those who work in tech or have tech shoppers, maintain your focus. Get artistic. For those who don’t work in or with these industries, maintain your individual focus. Run your individual race.

 

 

CNET is utilizing AI to jot down articles — and it’s flawed

CNET started publishing articles written by AI with restricted disclosure, Futurism reported. The articles had the tasteless byline of “CNET Cash Employees,” with a really small disclosure on the backside.

Moreover the dearth of journalistic transparency and disclosure, there’s a much bigger subject that Futurism uncovered.

Among the articles had been simply plain factually flawed.

They made easy errors a human by no means would. For example:

Take this part in the article, which is a primary explainer about compound curiosity (emphasis ours):

“To calculate compound curiosity, use the next method:

Preliminary stability (1+ rate of interest / variety of compounding durations) ^ variety of compoundings per interval x variety of durations 

For instance, in case you deposit $10,000 right into a financial savings account that earns 3% curiosity compounding yearly, you’ll earn $10,300 on the finish of the primary 12 months.

It sounds authoritative, however it’s flawed. In actuality, after all, the individual the AI is describing would earn solely $300 over the primary 12 months. It’s true that the overall worth of their principal plus their curiosity would whole $10,300, however that’s very completely different from earnings — the principal is cash that the investor had already amassed previous to placing it in an interest-bearing account.

There have been different errors apart from, regardless of CNET’s assurances that every article was “reviewed, fact-checked and edited by an editor with topical experience earlier than we hit publish.”

Why it issues: There may be quite a lot of promise in AI to vary the way in which we write, together with each journalism and PR. Nevertheless, as we found in our personal experimentation with ChatGPT, the bots are sometimes confidently and flagrantly flawed.

It’s as much as us as people to behave as a bulwark in opposition to cocky machines. And sure, human editors will all the time miss issues. Errors will not be new. Nevertheless, with a historically written article, you may have a number of possibilities for folks to catch errors: the author and the editor.

For those who incorporate AI into your writing routine, be sure to are enhancing the work meticulously and skeptically. The machine isn’t smarter than you — but.

Podcast followers barely choose video episodes

You may suppose podcasting is a medium of pure sound.

Not so.

In line with analysis from Morning Seek the advice of, podcast followers who’ve listened within the final month barely choose podcasts with video over plain audio — 46% to 42%. Certainly, YouTube itself is the popular podcast platform for a 3rd of followers, Morning Seek the advice of discovered, in comparison with simply 24% for Spotify and 12% for Apple Podcasts.

Fifty-one p.c of those that favored video with their podcasts mentioned they wished to have the ability to see the facial expressions of the host and company, whereas 50% mentioned video helped them to focus higher.

Why it issues: For those who’re producing podcasts (or pitching company), take into account the chances of video early within the manufacturing course of — not as an afterthought. Don’t consider podcasting purely as a radio program, however get artistic with how one can add visuals with out turning it right into a full-blown produced video. Analysis the gear you’d must movie your broadcasts from the outset and finances accordingly.

Ultimate Jan. 6 report underplayed social media’s function

A 122-page memo detailing how social media corporations performed into the Jan. 6 Capitol rebellion was drafted by the Home committee tasked with investigating that day of violence, the Washington Publish reported.

However in the long run, committee leaders declined to delve into these subjects intimately of their closing report, reluctant to dig into the roots of home extremism taking maintain within the Republican Social gathering past former president Donald Trump and anxious in regards to the dangers of a public battle with highly effective tech corporations, in line with three folks accustomed to the matter who spoke on the situation of anonymity to debate the panel’s delicate deliberations.

Congressional investigators discovered proof that tech platforms — particularly Twitter — did not heed their very own staff’ warnings about violent rhetoric on their platforms and bent their guidelines to keep away from penalizing conservatives, notably then-president Trump, out of concern of reprisals. The draft report particulars how most platforms didn’t take “dramatic” steps to rein in extremist content material till after the assault on the Capitol, regardless of clear crimson flags throughout the web.

The article goes on to notice that understanding how social networks fed into the riots that day is more and more important, particularly as Elon Musk’s Twitter now continues to peel again moderation efforts put in place each earlier than and since Jan. 6.

Why it issues: As communicators, we depend on these platforms to unfold our messages. So we should perceive how all messages unfold on them — and our roles in that advanced ecosystem.

Even in case you don’t work in politics, these points have an effect on you. They have an effect on the counsel you give your management about remaining on these platforms, the way you spend advert {dollars} and the way you reply to trolls and worse.

Allison Carter is govt editor of PR Each day. Observe her on Twitter or LinkedIn.

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