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Bosses Are Using AI to Decide Who to Fire

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Though most signs are telling us artificial intelligence isn’t taking anyone’s jobs, employers are still using the tech to justify layoffs, outsource work to the global South, and scare workers into submission. But that’s not all — a growing number of employers are using AI not just as an excuse to downsize, but are giving it the final say in who gets axed.

That’s according to a survey of 1,342 managers by ResumeBuilder.com, which runs a blog dedicated to HR. Of those surveyed, 6 out of 10 admitted to consulting a large language model (LLM) when deciding on major HR decisions affecting their employees.

Per the report, 78 percent said they consulted a chatbot to decide whether to award an employee a raise, while 77 percent said they used it to determine promotions.

And a staggering 66 percent said an LLM like ChatGPT helped them make decisions on layoffs; 64 percent said they’d turned to AI for advice on terminations.

To make things more unhinged, the survey recorded that nearly 1 in 5 managers frequently let their LLM have the final say on decisions — without human input.

Over half the managers in the survey used ChatGPT, with Microsoft’s Copilot and Google’s Gemini coming in second and third, respectively.

The numbers paint a grim picture, especially when you consider the LLM sycophancy problem — an issue where LLMs generate flattering responses that reinforce their user’s predispositions. OpenAI’s ChatGPT is notorious for its brown nosing, so much so that it was forced to address the problem with a special update.

Sycophancy is an especially glaring issue if ChatGPT alone is making the decision that could upend someone’s livelihood. Consider the scenario where a manager is seeking an excuse to fire an employee, allowing an LLM to confirm their prior notions and effectively pass the buck onto the chatbot.

AI brownnosing is already having some devastating social consequences. For example, some people who have become convinced that LLMs are truly sentient — which might have something to do with the “artificial intelligence” branding — have developed what’s being called “ChatGPT psychosis.”

Folks consumed by ChatGPT have experienced severe mental health crises, characterized by delusional breaks from reality. Though ChatGPT’s only been on the market for a little under three years, it’s already being blamed for causing divorces, job loss, homelessness, and in some cases, involuntary commitment in psychiatric care facilities.

And that’s all without mentioning LLMs’ knack for hallucinations — a not-so-minor problem where the chatbots spit out made-up gibberish in order to provide an answer, even if it’s totally wrong. As LLM chatbots consume more data, they also become more prone to these hallucinations, meaning the issue is likely only going to get worse as time goes on.

When it comes to potentially life-altering choices like who to fire and who to promote, you’d be better off rolling a dice — and unlike LLMs, at least you’ll know the odds.

More on LLMs: OpenAI Admits That Its New Model Still Hallucinates More Than a Third of the Time



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As the artificial intelligence (AI) craze drives the expansion of data center investment, leading U…

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Seeking a Breakthrough in AI Infrastructure Market such as Heywell and Genrack “Over 400 Billion KRW in Data Center Infrastructure Investment This Year”

What Microsoft Data Center looks like [Photo = MS]

As the artificial intelligence (AI) craze drives the expansion of data center investment, leading U.S. manufacturing companies are entering this market as new growth breakthroughs.

The Financial Times reported on the 6th (local time) that companies such as Generac, Gates Industrial, and Honeywell are targeting the demand for hyperscalers with special facilities such as generators and cooling equipment.

Hyperscaler is a term mainly used in the data center and cloud industry, and refers to a company that operates a large computing infrastructure designed to quickly and efficiently handle large amounts of data. Representatively, big tech companies such as Amazon, Microsoft (MS), Google, and Meta can be cited.

Generac is reportedly the largest producer of residential generators, but it has jumped into the generator market for large data centers to recover its stock price, which is down 75% from its 2021 high. It recently invested $130 million in large generator production facilities and is expanding its business into the electric vehicle charger and home battery market.

Gates, who was manufacturing parts for heavy equipment trucks, has also developed new cooling pumps and pipes for data centers over the past year. This is because Nvidia’s latest AI chip ‘Blackwell’ makes liquid cooling a prerequisite. Gates explained, “Most equipment can be relocated for data centers with a little customization.”

Honeywell, an industrial equipment giant, started to target the market with its cooling system control solution. Based on this, sales of hybrid cooling controllers have recorded double-digit growth over the past 18 months.

According to market research firm Gartner, more than $400 billion is expected to be invested in building data center infrastructure around the world this year. More than 75% of them are expected to be concentrated on hyperscalers such as Amazon, Microsoft, Meta, and Google.



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OpenAI says GPT-5 will unify breakthroughs from different models

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OpenAI has again confirmed that it will unify multiple models into one and create GPT-5, which is expected to ship sometime in the summer.

ChatGPT currently has too many capable models for different tasks. While the models are powerful, it can be confusing because all models have identical names.

But another issue is that OpenAI maintains an “o” lineup for reasoning capabilities, while the 4o and other models have multi-modality.

With GPT-5, OpenAI plans to unify the breakthrough in its lineup and deliver the best of the two worlds.

“We’re truly excited to not just make a net new great frontier model, we’re also going to unify our two series,” says Romain Huet, OpenAI’s Head of Developer Experience.

“The breakthrough of reasoning in the O-series and the breakthroughs in multi-modality in the GPT-series will be unified, and that will be GPT-5. And I really hope I’ll come back soon to tell you more about it.”

OpenAI previously claimed that GPT-5 will also make the existing models significantly better at everything.

“GPT-5 is our next foundational model that is meant to just make everything our models can currently do better and with less model switching,” Jerry Tworek, who is a VP at OpenAI, wrote in a Reddit post.

Right now, we don’t know when GPT-5 will begin rolling out to everyone, but Sam Altman suggests it’s coming in the summer.

While cloud attacks may be growing more sophisticated, attackers still succeed with surprisingly simple techniques.

Drawing from Wiz’s detections across thousands of organizations, this report reveals 8 key techniques used by cloud-fluent threat actors.



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Puck hires Krietzberg to cover artificial intelligence

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Ian Krietzberg

Puck has hired Ian Krietzberg to cover artificial intelligence, primarily through a twice-weekly newsletter.

He previously was editor in chief of The Daily View, which produces a daily newsletter on artificial intelligence.

Before that, Krietzberg was a staff writer at TheStreet.com cover tech and trending news.

He is a graduate of the College of New Jersey.





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