steventhedev
Joined 13 years ago
Joined 13 years ago
1. They're low stakes to get wrong.
2. The most common is MCPs or similar ai-tooling.
3. Making them look good takes time and effort still. It's a multiplier, not a replacement.
4. Quality and maintainability require investment. I had to restart an agentic project several times because it painted itself into a corner.
Or one that's checked into your version control (representing that it is your company's code that's running) and one that lives on the server (representing that it is a server your company controls).
Or to take your example - a key in the repo, a key from the dev, and a key from the build server.
This isn't good journalism and should not be celebrated.
At the same time, if a US person applies and is similarly qualified, they must be offered the job.
Which is trivially abuseable by offering substantially less for the H-1B position. I'm not sure if there's an easy policy solution for that.
The H1-B visa is intended for bringing specific technical expertise that does not exist in the US for a set period of time. This is why one of the requirements is that you must have interviewed US persons first. Its the same reason it's a nonimmigration visa.
The rampant abuse of the visa has a remedy - criminal charges against the HR directors of any company who is found to have committed fraud, and capping the number of visas per company (setting up many shell companies is a strong signal that fraud is being committed).
If an H1-B worker can't negotiate on a global level for their expertise - they should not be on that visa.
System load is well defined, matches user expectations, and covers several edge cases (auditd going crazy, broken CPU timers, etc).
1. If the sensor dies and there is no data at all
2. If the sensor gets stuck (giving same value)
3. If the sensor slowly drifts (adjusting for daily, weekly, and yearly seasons) - indicating a clogged filter or leaking refrigerant
4. Statistical spikes - this is the hardest to tune so you need to treat it as a model that detects anomalies and it takes a long time to label extremely rare events
5. Static thresholds, over varying windows to deal with sensor error and transient spikes.
It also raises questions like "if the sensor is reporting 400C then either the building is on fire or the sensor is broken", or "how do we get the alert if the building is indeed on fire" and the inevitable followup: do we even need to get an alert if the building is on literal fire?
But it notably lacks tikz support and if it can emit SVGs I'm beginning to wonder why I even use KaTeX and not something like this (beyond my personal anti-JS sentiment)
Of course, this study only considered normative people, not marginalized or those who were experiencing active harm from exposure to social media - your personal results may vary and it's important to remember that science is imperfect and social sciences are doubly so.
If going off Facebook improves your life - you do you.
This is the one that was shared on lobsters, but there are likely more: https://bill-ion.github.io/tikzjax-live/