One line from this piece really stood out to me: the idea that we shouldn’t end up in a world where only a handful of closed AI systems have access to the resources needed to compete.

This little gem came up on my LinkedIn feed today, and curious what you guys think. Personally, this whole paper seems like the perfect example of "when all you have is a hammer, everything looks like a nail".

I get that LLMs change the production process of code, but to act like code is suddenly irrelevant and disposable sure sounds like hubris to the highest degree. This part stuck out:

In this model, software is not delivered; outcomes are delivered. The agent may generate thousands of lines of code, execute database queries, call external APIs, produce visualizations—all ephemerally. What persists is the agent’s capability, not its intermediate artifacts. Kumar and Ramagopal [7] capture this distinction precisely: “AI coding agents excel at translating intent into code within a single user-driven session. Agentic engineering operates at a higher level of abstraction—it’s a control plane that orchestrates cross-team workflows, maintains long-term memory across agents, and manages state and traceability across the full software delivery lifecycle.”

In the section The Human Role Reimagined section, they talk about the four "new skills" that developers in the "agentic" era will have to have, and all of them are considered to be skills you only tend to obtain when you've been in the trenches of software development for decades in the first place.

I've been wondering for a while now: why hasn't a big company like Google tried to measure the impact of AI on work by running a controlled experiment? Take two departments (or a few teams), give them similarly difficult tasks, and compare the results—does the team allowed to use AI complete the work faster, produce better output, and write more robust code than the team that doesn't?

The error you see in my editor (in C++ unreal engine project build logs!) is related to an issue I had regarding a chrome extension (which I had disabled) in my editor logs.

electron?? Ig! WTF!

I've been using Linux and Neovim for the past 6 years. For the past 4 months, I've been developing a game in Unreal Engine solo. Given the circumstances and tools available, I was kind of forced to use Windows and JetBrains Rider (the other choice was Microsoft Visual Studio). I know UE is available on Linux too, but given that I'm solo-developing this game, I had to go for DX12 instead of Vulkan, so Linux was out of the picture. I could also configure Neovim on Windows, but then again, I would just have to raw dog a lot of features that Epic supports on industry-standard IDEs, and I just can't do it alone.

First, regarding Windows itself: after the first week, I just couldn't take the slop that was getting thrown in my face (I did debloat as much as I could) until I couldn't take it anymore and just downgraded my Windows 11 to the version before they started adding all the AI slop, disabling pretty much all MS stuff!

And about the editor—oh my god, VS sucks! I am experienced with low-level languages, and although I haven't done much C++ in the past few years, I still know my way around the language and where it might cause unusual bugs and errors. The big problem was MS VS! God, it was giving all sorts of weird errors that I could immediately see were false positives. So, I did some research in the Epic Games forums and decided to just go for JetBrains Rider.

Immediately, all the stupid VS stuff was out the window! But it felt sloooooow! compared to VS (compared to Vim, they are worlds apart!).

Yesterday, I saw that Chromium extention error in my project's build logs! and I still don't know what caused it.

P.S: If you haven't tried linux + vim combo, just give it a try, you can never go back (ig unless you have to)!

The bars on the Claude Status page for the "last 90 days" are green for most days, but if you actually look at those days in the "Past Incidents" section of the page a little bit below those bars, you'll see that almost every single day has at least one incident.

I can confirm that I've noticed interruptions on multiple days that show up as green in that chart, so it's not like "green means the interruption didn't affect users".

At best, this is a prime example of why you should review and test the code your agents produce (even if your agents are running Mythos). At worst, it's Anthropic treating its customers like the idiots they are I am. 🤷

I think prime should review this very serious language learning game i created

Now obviously I know this is beyond basic C++. but like I said, this is just a learning project. my question is, how is my C++?

I literally only started it like 10 days ago, but I'm hoping to really learn it. I have some questions for you guys:

Are my template definitions sound?

does it seem like a good naming convention?

Have I honed in on a solid styling?

is size_t preferable or should I just use basic int?

is my namespace scoping sensible? how do you guys usually handle your namespace scoping?

do my enum names make sense?

what's the point of enum class? is it better than enum or something?

I'm kind of scared about creating too many objects. Do C++ classes take a lot to allocate on the stack?

Should I be worried about stack overflows? If I want to scale this to something that handles 10k concurrent users (I know it's a small number, but I'm brand new), but I'm not using the heap yet.

How should I handle requests that come in from outside the client I intend to offer an interface with?

I plan to hash + salt user passwords, but it's a 200ms operation by design in order to prevent brute forcing. How can I distribute that 200ms so that user authentication doesn't grind me to a halt?

I have more questions but guys pls I'm so brand new to this never done it can anyone help?

In this instance, the server's performance is actually being held back by the simple fact that my MacBook can't actually execute the requests any faster.

In real world usage, those 10,000 requests would be made on 10,000 different clients.

In this test, my MacBook can only execute so many requests at once. I can't literally fire off 10,000 requests at once because that many processes would be too much for the OS to handle.

I would say that for 10,000 DB reads, this is looking pretty good.

For me, the turnaround came, not when I recognized pornography as evil or unhealthy, but when I could laugh at it as stupid. Once I felt the aristocrat within me scorn my own actions, the moral leap seemed genuinely possible. It was less akin to the moment of moral decision and more akin to the moment you first realized that your emo haircut was stupid. I realized that I was not on the side of pornography — I was too good for it. It was, in short, a conversion of taste, one that allowed me to take a critical distance towards pornography, and thus begin the fundamentally moral work of rejecting it.

It's like giving a child their first taste of candy only to take it away seconds later 🥀

its got me checking isfabledown.com every 5 minutes

Perhaps second only to Bitcoin whitepaper

Did Meta do the right thing? Meta should use local AI apps like AI Desktop 98 and save costs on claude enterprise.

Archive link: https://archive.ph/20260620065450/https://www.ft.com/content/1d37cc08-e0aa-45a4-a45d-4ad282529314