xtreme

This aligns with my experience in the semi industry. SWEs tend to see trimming scope as moving the goalpost and do not consider as an option. Providing advance notice is mostly about client management, and clients are often surprisingly receptive to partial solutions.

"nvidia-smi -l <#num seconds>" works even better.

Replace AI in your comment with "intern" or "junior employee" and you will quickly realize that it needs a different set of skills. Do you think two different managers can achieve wildly different results with the same team by using different processes and style of communication? That's the value of learning this skill.

If only 10% of Tax software users are affected, IRS may not give an extension and the customers would be cursing you. Probably worth it to keep those extra engineers on call during the tax season.

Doctors refer patients to specialists all the time.

It's a policy based on unsound reasoning. Why is India treated as a monolith when it is more diverse than the EU in terms of linguistic and cultural diversity? If tomorrow India magically broke off into 30 separate states, all the same people who have been waiting for decades would be immediately eligible for green cards. How does it make any sense?

This actually tells you why AI doesn't have to be better than all human experts, just the ones you can afford to get together.

Chegg wasn't a victim — it was a middleman profiting from locked-up educational content and exploiting students’ needs. ChatGPT didn't "lure" users; it provided a superior, accessible alternative, democratizing learning rather than hiding it behind paywalls. The argument against AI due to resource usage is selectively blind to the inefficiencies of legacy systems like Chegg. Calling this hype is like dismissing the internet as a fad — it’s a failure of imagination. Disruption always displaces incumbents, but clinging to outdated, exploitative models is far worse than embracing a tool that genuinely empowers users.

200 mm/year gets you roughly 1000 engineers at 200k salary. Is that not enough to make rocm experience equal to cuda?

Your conclusion does not follow from your premise. AI moderation should easily catch the worst offenders and the most obvious ones. The examples you gave easily stand out from non-offensive content and are easy to catch with high confidence. So, human moderators will have to look at where AI has low confidence classifying the content. In fact, AI will reduce the likelihood of human moderators ever seeing traumatic content.

So what? Maybe there would have been multiple island nations, maybe they all would have seen other countries and joined hands together. Why should the Dutch get any say in what modern Indonesia should look like?

Same goes for the parent comment about India. The decline of the Mughal empire and the possibility of multiple states arising instead of an unified India doesn't justify the British colonialism and in no way absolves them of their atrocities.

As someone who loves Typescript, the first chapter of your book deeply resonated with me. Good data representations and data types that encode meaning can eliminate entire classes of bugs by making invalid states unrepresentable, and I wish more languages emphasized and supported these principles.

I agree with what you are saying, but I find it interesting that physics can also predict properties of planets, stars, and galaxies interacting over cosmic distances. At that scale, you can zoom out and reduce the complexity again back to a handful of rules.

It's not doable because your current location needs to be in the center of the screen in north up mode but can be placed lower in regular mode. Also the non square aspect ratio of the phone screen means that you don't get the same field of view in all four directions.

Buying handcrafted artisan stuff is a luxury few can afford. I come from a poor family and I was always grateful for mass produced mediocre stuff that we could actually afford.

There are size limits when deploying on serverless or edge infrastructure so developers have to care about that. The providers also typically charge by compute seconds * memory consumed so a larger executable costs real money as well.

I'm nitpicking, but the expected value for a project with a 50/50 chance of either (a) making $3m or (b) losing $1m is $1m. Not $2m.

For now. Soon they will pay an LLM to translate their imprecise requests to precise commands.

You don't have to look far, Canada has already implemented a point based system for granting permanent residence to skilled workers. It assigns scores to applicants based on education, skills, employment offer, language speaking ability, etc. I believe it can be a good starting point for a more objective selection criteria than the current system which is more based on luck.

https://www.canada.ca/en/immigration-refugees-citizenship/se...

The government is already interfering with the labor market by denying work visas to many US-educated students, limiting number of employment based green cards, handing out diversity visas through random lottery, and in general dictating who should or should not be eligible for work permits.

Minutes spent is a horrible metric. It creates a perverse incentive to intentionally slow down the software.

What are good counters to these arguments?

Relevant xkcd: https://xkcd.com/810/

This feels like the trolley problem applied at scale. Will you deploy a self driving system that is perfect and stops all fatal accidents but kills one randomly selected person everyday?

Assuming this is a serious suggestion and not a joke that I have missed, there are so many cloud LLMs that this kind of search is not feasible. And local LLMs that you can run on your own hardware makes detection completely impossible. It's better to acknowledge that people will use LLMs, and judge the papers based on their content and not their writer.

Before you learned how to code from a book, you had to learn how to read and write English. You also had to learn how to follow instructions, how to imbibe and compose information etc. How many books and hours of instruction did that take?

Agadmator on YouTube makes excellent post-game analysis videos: https://www.youtube.com/@agadmator/videos

It seems to me that people name Linus are destined for greatness.

* Linus Torvalds (The OG)

* Linus Sebastian (Linus Tech Tips)

* Linus Lee (Author)

I am just impressed that the author was able to consistently think of relevant emojis for 100+ commit messages.

Which version of GPT are you using?