The bad news is that once you start mixing and matching tools yourself there’s nothing those vendors can do to protect you! Any time you combine those three lethal ingredients together you are ripe for exploitation.
With the rise of LLMs is now ripe for exploitation. Target your LLM to your email? What happens when there is mallicious prompts in plain text? Will be interesting to see how this plays out.
As we roll out more Generative AI and agents, it should change the way our work is done. We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs. It’s hard to know exactly where this nets out over time, but in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.
GitHub has decided to gift open source with more AI contributions. You can press a button and GitHub Copilot will automatically generate a bug report for you — for any public project on the site!
The irony here being if AI is so good at programming why doesn’t the button generate a .patch file? Oh thats right because someone still has to maintain the product. Can you imagine a software built by AI?
International Business Machines Chief Executive Arvind Krishna said the tech giant has used artificial intelligence, and specifically AI agents, to replace the work of a couple hundred human resources workers. As a result, it has hired more programmers and salespeople, he said. While there haven’t yet been widespread layoffs or downsizing as a result of AI across the economy, some business leaders have said they are holding down head count as they investigate the use of the technology.
This isn’t the 1-2 year thing of what happens when you have a super powerful software engineer. But over time, if everyone has these superhuman tools to create a ton of different stuff, you’re going to get incredible diversity. Part of it is going to be solving hard problems: solving diseases, advancing science, developing new technology that makes our lives better. But I would guess that a lot of it is going to end up being cultural and social pursuits and entertainment.
75 percent of the queries that get put into Google get answered without you leaving Google, get answered on that page. So if you want to ask, when did David Rubenstein start Carlyle? About ten years ago it would take you to maybe a Wikipedia page or something else. Today, the answer comes up right on the page, and you don’t have to go anywhere else. The consequence of that means that original content creators that are creating that content, if they were deriving value through selling subscriptions or putting up ads, or just the ego of knowing that someone is reading your stuff, that’s gone, right?
Programming, at its essence, is conversation with computers. It’s how we translate human intention into machine action. Throughout computing history, we’ve continuously built better translation layers between human thought and machine execution—from physical wiring to assembly language to high-level languages to the World Wide Web, which embedded calls to backend systems into a frontend made up of human-readable documents. LLMs are simply the next evolution in this conversation, making access to computer power more natural and accessible than ever before.
I was describing GitHub Copilot. Or Claude Codex. Or OpenAI lmnop6.5 ultra watermelon. This isn’t about tools or productivity or acceleration. It’s about the illusion of progress. Because if that programmer-if that thing, that CREATURE-walked into your stand-up in human form, typing half-correct garbage into your codebase while ignoring your architecture and disappearing during cleanup, you’d fire them before they could say ’no blockers'.
A hilarious takedown of the bolder claims of AI coding.
Returning to a measure we introduced in 2023, we examine American data on employment by occupation, singling out the type of workers that are often believed to be vulnerable to ai. These are white-collar employees, describing people in back-office support, financial operations, sales and much more besides. There is a similar pattern here: we find no evidence of an ai hit (see chart 2). Quite the opposite, in fact. In the past year the share of employment in white-collar work has risen very slightly.
Microsoft is not talking about replacing developers. It says GitHub Copilot – and the latest version of the product called “Coding agent” – are tools to partner with developers, akin to a peer programmer.
Seeing as how many of the autonomous bots have failed for me personally, I definately appreciate a pragmatic approach to AI coding detailed here.
Quote Citation: GERGELY OROSZ, “Microsoft is dogfooding AI dev tools’ future”, MAY 27, 2025, https://newsletter.
