bauerd

They're the exception, not the rule. They get crawled like any other site, but happen to host git repositories. It's not obvious that these are targeted crawls and they likely may just end up in crawling queues a lot generally

I returned to hand-written notebooks. None of these knowledge management frameworks ever worked for me. Sure my agents have their own semantic memory system but I’m not an agent.

Because these productivity increases will be to the detriment of the average person. We won’t get to reap the benefits.

You don’t think there are causes worth fighting for? Or that deterrence is immoral? Help me understand.

>I don’t know how I could work in any of these military industry companies.

You'd sing a different song quite quickly once the threat stops being abstract as you don't get to free-ride on the security a defense industry provides.

It's part of a constantly evolving ecosystem. It's a stable product because reliability engineers make it so and software engineers get the integrations right.

>What on earth do you do with that many devs on a project like Messenger? I mean, really?

What makes you think it's a simple system to develop at scale?

>Having said that, some components need to live outside the sandbox (otherwise, who creates the sandbox?).

I run a single-node k3d cluster on each of my MacBooks which uses Agent Sandbox[0] to keep harnesses isolated. Harnesses access models through LiteLLM only. I have aliases for `kubectl exec`ing into whatever harness I need.

[0] https://agent-sandbox.sigs.k8s.io

Fully agree, I only pay the minimum for frontier models to get DeepSeek v4 output reviewed. I don't see this changing either because we have reached a level of good enough at this point.

They can't afford to care about individual customers because enterprise demand exploded and they're short on compute

>On March 4, we changed Claude Code's default reasoning effort from high to medium to reduce the very long latency—enough to make the UI appear frozen—some users were seeing in high mode

Instead of fixing the UI they lowered the default reasoning effort parameter from high to medium? And they "traced this back" because they "take reports about degradation very seriously"? Extremely hard to give them the benefit of doubt here.

Health insurance and opportunity cost

It would be interesting if they’re dogfooding it by building these research projects on those building blocks

They are building infrastructure components that they will soon wire together with an orchestration layer. Managed agents, scheduled tasks, workflow webhook automation.

This is a really verbose way to say that using generative AI has a detrimental effect on the user because one deprives themselves of the learning experience.

No because the technology will be used against you.

The argument isn't that LLMs are bad because they can hallucinate. Author (clearly) argues that LLM use has negative cognitive effects on their users and on society as a whole. Plus, the technology would wipe out a large, large number of jobs.

>They still have a long way to go before they can master a domain from first principles, which constrains the mastery possible.

Mastery isn't necessary. Why are Waymos lacking drivers? Not because self-driving cars have mastered driving, but because self-driving works sufficiently well that the economics don't play out for the cab driver.

Not sure what you're insinuating. What do you think is the statistically average job on this planet? It's still going to be cultivating a smallholder farm in developing countries, or working in logistics, manufacturing or the broader service in developed countries.

All of these average jobs are structurally repetitive. Yes, humans do constantly inject creativity, but it's a means to an end, to getting the job done.

You apparently mistook my descriptive comment for a value judgment, but it isn't.

The vast majority of people on this planet work repetitive, uncreative jobs.

>a lack of imagination on what could be better

I'd argue it's likelier that people are more informed about their absolute position globally. Any screen gets you the mental image of the top of the ladder. So happy people would end up scoring themselves low, because there's a globalized vision of wealth nowadays.

Besides there's a difference in life self-evaluation and experienced happiness, so the report really is a misnomer.

>Testing workloads that take hours to run still take hours to run with either a human or LLM testing them out (aka that is still the bottleneck)

Absolutely. Tight feedback loops are essential to coding agents and you can’t run pipelines locally.

brew install emacs

Generally wrong. It may cost less because its externalities aren't priced in.

The company's values may align to yours, even though they reject you. It's because the interview process doesn't need to have anything to do with their real-world process. Their engineers probe you for the same "best practices" that they themselves were constantly probed for in their own interviews. Interviewing is its very own skill that doesn't necessarily translate into real-life performance.

In interviews just give them what they are looking for. Don't overthink it. Interviews have gotten so stupidly standardized as the industry at large copied the same Big Tech DSA/System Design/Behavioral process. And therefore interview processes have long been decoupled from the business reality most companies face. Just shard the database and don't forget the API Gateway

It’s not how you get promoted though. Plus implementing complex UIs is challenging which engineers like. The incentives are off.

The sum absolutely does matter. All you’re saying is the fines are too low

Last thing I need is Kubernetes at home

Please add mlbile apps that scan product barcodes and display the origin country. I think EAN-13 barcodes make this easy already