Do worker bees need Copilots?
Today: Microsoft rolled out its second wave of Copilot feature upgrades ahead of a pivotal year for its AI strategy, AWS throws Intel a lifeline, and the latest funding rounds in enterprise tech.
Today: another dust-up on the Rust Project, CIOs are worried about a downside to AI-powered coding machines, and the quote of the week.
Hello and welcome to Runtime! Today: another dust-up on the Rust Project, CIOs are worried about a downside to AI-powered coding machines, and the quote of the week.
Rust emerged as one of the most important programming languages of the cloud era by correcting the technical mistakes of languages past. Yet the people advancing the project keep making the same mistakes that can turn open-source projects into privileged cloisters.
Last Friday, JeanHeyd Meneide turned heads in open-source and enterprise tech circles by announcing that he would no longer be speaking at RustConf, the biggest event on the Rust calendar, after his proposed talk had been abruptly demoted from a coveted keynote slot to a less prominent spot on the program.
For as long as there have been open-source projects, there has been drama, but this incident really caught the attention of the developer community.
The Rust Project later apologized for the whole affair, but it once again raises many questions about the way decisions are made involving technologies that might be the foundation for the next ten years of computing.
It's not surprising that there are strong, competing feelings involved when discussing the future of one of the most important programming languages of our time.
Software development managers have no choice but to wade into the generative AI waters, because their developers are going to embrace tools like GitHub's Copillot one way or another. But they are increasingly worried that these tools will generate too much code that they'll be stuck maintaining for years, according to the Wall Street Journal, a problem known as "technical debt."
“I think it makes the CIO’s task a lot more complex, even as it makes the programmer’s task easier,” Vivek Jetley, executive vice president and head of analytics at EXL, told WSJ in response to questions about how companies are embracing these tools. MIT's Armando Solar-Lezama articulated that concern: "People have talked about technical debt for a long time, and now we have a brand new credit card here that is going to allow us to accumulate technical debt in ways we were never able to do before."
However, earlier this year Paul Kedrosky and Eric Nolin of SK Ventures invoked the term in service of the opposite argument when describing how generative AI tools will forever change software development: "Software production has been too complex and expensive for too long, which has caused us to underproduce software for decades, resulting in immense, society-wide technical debt. This technical debt is about to contract in a dramatic, economy-wide fashion as the cost and complexity of software production collapses, releasing a wave of innovation."
Either way, it's probably best to be the bank.
"I've also been asked numerous times this quarter, by our investors, and our customers, how we're able to make so much progress so fast and deliver these incredible numbers. It's very simple. It's our Ohana culture, it's our superpower." — Salesforce CEO Marc Benioff, who actually achieved those profit numbers by throwing thousands of members of the "Ohana" out of work earlier this year.
Security experts issued warnings that a zero-day flaw in the MOVEit file-transfer software is being used to steal data.
VMware rolled out version 5.0 of its Cloud Foundation hybrid cloud platform, with new features focused on security and managing updates.
Alphabet shareholders expressed concerns over proposed Google Cloud data center locations in countries like India, where the government has increasingly demanded data from technology providers, according to The Economic Times.
Thanks for reading — see you Tuesday!