After a lull in which it seemed like the worst of the layoffs had passed for tech workers, a fresh wave of job cuts is now upon Silicon Valley.

Major companies like LinkedIn, Qualcomm, and Nokia announced substantial headcount slashes this month, pointing to factors like weakened revenues and ongoing cost-cutting drives.

The tech industry job losses are still far from the peaks they reached earlier this year, when tech giants dropped tens of thousands of positions combined. But the new spate of notable names making relatively deep cuts signals the bleeding isn’t quite over, even after analysts at Bernstein Research declared in August that the tech jobs recession was done.

Keep reading here for a roundup of this month’s tech job cuts.—PK

You could slowly build up your cloud knowledge over weeks and months…*or* you could increase your expertise in just 5 days at a conference catered to upping your cloud game.

Is leveling up more your style? Perfect timing, because registration for the AWS re:Invent conference is already open, and you can register for the livestream for free.

Running from Nov. 27–Dec. 1, AWS re:Invent features over 2,000 sessions on the latest industry topics and emerging technologies. Get access to these teachings + other perks, including:

• AWS Partners and experts who will provide you with ~personalized~ learning opportunities
• the latest news on generative AI, infrastructure innovations, and unlocking your data’s power
• networking opportunities to help you build connections, find new opportunities, and solve business

Unable to attend in person? Register for the free livestream on selected sessions.

Another day, another poll showing Americans distrust AI.

This time, Pew Research found that 70% of respondents who’ve heard of AI have “little to no trust in companies to make responsible decisions about how they use it in their products.” Four in five say AI will lead to their personal information being used in ways they didn’t intend.

The survey adds to a growing chorus of data from the likes of Gallup, Ipsos, and Salesforce showing that Americans resoundingly lack faith in companies to handle the technology responsibly.

Those suspicions could prove a problem as businesses of all kinds rush to implement a new wave of generative AI across everything from customer service to hiring. The good news for them is that 62% of Americans expect companies to use it to make people’s lives easier, Pew found.

Keep reading here.—PK

Coworking is a weekly segment where we spotlight Tech Brew readers who work with emerging technologies. Click here if you’d like a chance to be featured.

How would you describe your job to someone who doesn’t work in tech?

At ETS, I lead the charge in leveraging technology to improve education globally. When the first iterations of generative AI came about, I knew it would have a major impact on the field of education. In 2020, I founded the AI Labs at ETS so that we could be the leaders in helping educators and students learn how to use it responsibly and effectively. As edtech continues to advance, my team is responsible for researching and understanding it, as well as providing ethical user guidelines and finding the best way to incorporate it into our operations to deliver the next AI-powered solutions.

What’s the most compelling tech project you’ve worked on, and why?

It’s definitely my current work at ETS on authentic skills assessment. I have the privilege to contribute to the transformation of educational measurement and how technologies, such as multimodal AI, can help people naturally diagnose, develop, and ultimately demonstrate their unique tapestry of skills.

While I work at an organization with a global reputation as a leader in assessment, I believe the future is actually testless. Based on my training in psychometrics, I work from the inside of the industry to disrupt how we approach educational measurement but continue to create valid and reliable measures. In this dynamic economy, the skills people need to be successful extend beyond the cognitive skills that are measured on traditional tests. My teams build solutions that reliably and validly provide signals on affective, behavioral, and cognitive skills—but don’t require a No. 2 pencil.

Keep reading here.