SamuelAdams

I use Optery for about two months a year, seems to do a good enough job for most of the data brokers. There are also discounts or promo codes to lower the price as well.

https://www.optery.com/

HN Launch: https://news.ycombinator.com/item?id=30605010

Promo codes: https://www.optery.com/optery-promo-codes/

You should add an Easter egg in your cli program: dagger attack, which prints out a favourite Top Gun quote.

The other advantage with bash is that most developers can run it locally to validate what it is doing and debug issues. With GitHub Actions you need to always commit and push, slowing down the DX.

LMS’s are a lot like programming languages. There’s the ones people complain about and the ones no one uses.

It depends on what you pay for. If you need FedRamp or IL4+ compliance you are likely on dedicated infrastructure. Everyone else uses multi tenancy.

VSCode has this too: chat.disableAIFeatures

Sources:

https://news.ycombinator.com/item?id=46501220

https://code.visualstudio.com/updates/v1_104#_hide-and-disab...

I wonder what will happen to the entire legal system. It used to be fairly difficult to create convincing photos and videos.

AI can probably fool most court judges now. Or the defense can refute legitimate evidence by saying “it’s AI / false”. How would that be refuted?

Say what you about the Anna’s Archive Spotify scrape: it made me realize how much music exists and how much music was never listened to.

CLI is great because now I can tell my AI agent to do it. “Fix all dependabot security issues (copy logs) and run tests to validate functionality. Create each dependency as its own stack (or commit) so that contributors may review each library update easily.”

Wait 10 minutes and you’re done.

Am I the only one that uses a thunderbolt dock and a keyboard + mouse + monitor setup? The Macbook itself is always closed in clamshell mode.

The only time I ever use a Macbook as a proper laptop is during meetings, and even then it is brief - looking up materials or taking notes - not nearly enough time to encounter long-term strain in the wrists.

If you are working on a computer for 6+ hours a day professionally, you owe it to yourself to get a proper workstation setup. Hunching over a laptop for hours a day is terrible for your posture and health.

My favorite MacOS update was when the removed the need for Rectangle, Mos, and Unnatural ScrollWheels.

/s

So if this is free to use on linux, what is to stop someone from doing what Colima did to Docker? Aka make a tiny Linux VM on MacOS and package Little Snitch within that?

It could also be that they have more customers / clients now, or offer more capabilities.

So do enterprises still need Jamf [1]? For context, Jamf is one of the most common MDM tools for organizations.

[1]: https://www.jamf.com/

It’s also hard to hire for. Candidates for job openings must be between the ages of 21-31 years old. Yes they are legally forbidden from hiring anyone older.

https://www.faa.gov/air-traffic-controller-qualifications

It feels a lot like the FAA and NTSB moving safety checks of the Max 8 to Boeing engineers. Like of course they’re going to OK it…

Modern vehicles make disabling data collection fairly difficult. And even if it is disabled, there is no guarantee data is not being sent despite your user settings.

I would love for investigative groups to target the auto industry’s data collection practices and have meaningful legislation created and implemented as a result.

200-500k would make a large negative impact in healthcare. Specialty doctors cannot be trained in a snap, and there are limits on how many MDs and DOs are churned out of schools.

So healthcare industries turn to H1Bs to hire specialty positions in underserved / rural areas. The alternative is to shut these facilities down, which has other negative aspects to communities.

As a current parent, I assumed this was due to people having fewer kids, not AI. Additionally, with childcare centers becoming more expensive, many more families are looking to be stay at home parents or using grandparents / relatives to watch their kids during work hours.

I do this quite often, but I also instruct Claude to limit its output to 2-3 sentences or paragraphs, depending on the context. Also "Write this for a team of software developers / MBA's" goes a long way too.

I also do the extra step of eliminating things that are not needed, or we review this during backlog refinement.

The same argument could be made for the book industry, where there are centuries of content available. And yet, people still read new books.

Our standard of practice is to document the “why” in Jira. Then reference that card in the commit message.

This gives product owners the ability to embellish as they wish and reduces the need of the dev to repeat themselves.

My question on AI generated contributions and content in general: on a long enough timeline, with ever improving advancements in AI, how can people reliably tell the difference between human and AI generated efforts?

Sure now it is easy, but in 3-10 years AI will get significantly better. It is a lot like the audio quality of an MP3 recording. It is not perfect (lossless audio is better), but for the majority of users it is "good enough".

At a certain point AI generated content, PR's, etc will be good enough for humans to accept it as "human". What happens then, when even the best checks and balances are fooled?

I also thought it was hilarious that they invented a brand new metric that (surprise) makes their product’s long term projection look really good (financially).

Similar to the “carbon neutral by X date” promises, this was common around 2016 or so. Notice how companies have mostly cancelled or redefined those promises several years later, once the issue is out of the limelight.

If it is not legally required, it will not be done.

To be fair, the new Apple displays use the same panel so much of this still applies.

Reminds me of the film Armageddon 1998, where the Russian astronaut had some complaints:

<in reference to hardware buttons in the spaceship control panel>

USA astronaut: "This is an American aircraft, you don't know the parts"

Russian astronaut: "Ah, American parts, Russian parts... all made in Taiwan!"

IAM comes to mind, with fine grained control over everything.

S3 has excellent legal and auditory settings for data, as well as automatic data retention policies.

KMS is a very secure and well done service. I dare you to find an equivalent on-prem solution that offers as much security.

And then there's the whole DR idea. Failing over to another AWS region is largely trivial if you set it up correctly - on prem is typically custom to each organization, so you need to train new staff with your organizations workflows. Whereas in AWS, Route53 fail-over routing (for example) is the same across every organization. This reduces cost in training and hiring.

I have been using 3 VP2788-5K for 6 months. Much better than 1440p or 4k monitors IMO. I spend most of the day on teams meetings and looking at code.

Text is very crisp at this DPI. The built in thunderbolt dock works reliably.

It is annoying how the cables stick down on the bottom of the monitors. A few right angle adapters helps with that.

FreeTaxUsa [1] exists and is much cheaper than Turbo Tax.

That being said, this is not free - you are paying for Claude to do this in both tokens and data. I personally think it is insane to hand over your private financial data to an AI company, but I also recognize not everyone has the same concerns.

[1]: https://www.freetaxusa.com/