Hacker Newsnew | past | comments | ask | show | jobs | submit | anonu's commentslogin

I stopped reading after "problem with LLMs is plagiarism"...

Too bad. You missed some interesting stuff. And I say that as someone who sees some of this very differently than the author.

Announcing that one line of the piece made you mad without providing any other thought is not very constructive.


This sounds like you're on a Pentium 386


It might be a custom chip with all SRAM, no DRAM, that they normally use for AI acceleration. Running Firefox and PDF's on the side would be a nice, value add.


I don't want to speculate on this crash but my mental model for these things is that there's always a handful of factors that all align and converge to create an accident. Some factors are deep-rooted - and point to decisions made years ago - sometimes related to company culture. Theres always an element of operator error: someone ignored something due to inattention or sleepiness.


> How long do electric car batteries last?

The article never answers the question. But if you assume 70% end-of-life threshold with 2.3% loss per year - then we're looking at 13 years.


It’s great seeing the numbers continue to hold after a decent period of time.

We’ve noticed after 6 years out Tesla, the battery seems to charge slower than it used to, but otherwise all is well. I just love the convenience of charging at home, gas stations seem so odd and antiquated now.


Why is 70% a end of life threshold? Considering that most major models are sold with configurations where the entry level begins under 70% compared to the "Long Range" model, clearly 70% is a perfectly fine level of battery for some users.

I myself have a 11 year old Nissan Leaf with pretty significant battery degradation (the guessometer says 70 mi range but I wouldn't count on more than 35-40) and it's fine for probably 95% of my driving.

If I were to buy an electric car with 300-350 miles of range today, I could easily see myself finding a ton of value in it in 20 or even 30 years. It's still more range than my current one! Lol.


Battery degradation is non-linear, and when it reaches a certain point of degradation it can be become unstable. This has lead to 80% being the traditionally considered point for EOL of a Li-Ion pack. However, this is a rule of thumb and the data is evolving with the technology.

"When the battery degrades to a certain point, for instance, if a battery can only retain 80% of its initial capacity,9, 10, 11 the battery should be retired to ensure the safety and reliability of the battery-powered systems."

Xiaosong Hu, Le Xu, Xianke Lin, Michael Pecht, Battery Lifetime Prognostics, Joule, Volume 4, Issue 2, 2020, https://www.sciencedirect.com/science/article/pii/S254243511...


My dad speaks fondly of his time at Olivetti. He was a UMich EE grad from Lebanon. Through some chance encounters he had met some Olivetti execs who sent him a TELEX to his home in Lebanon offering him a job in Ivrea, which he took given that it was on the eve of the Lebanese Civil War (~1975). The rest is history...


HN has some serious competitors for “coolest dad ever”.


AI won't replace developers. It will replace the bootcamp devs of the last decade. The average expectation is now much higher. AI tools will only elevate the expectations of what a human dev is capable of and how fast it can get done.-


Thats just not true. $CRM is at worst flat looking back 1 year. $IGV, software ETF is the same. Definitely not down 50%.


> Historically, sales was hard because you had to design and refine a sales motion around a product

while your statement is true - this is actually a very minor reason why sales is hard.


I’m well aware of what makes sales difficult—I’ve lived it, both in early-stage, venture-backed environments and in long, enterprise sales cycles. In SaaS, almost everything about how sales works ultimately ties back to the cost of building software. Relationships and customer trust absolutely matter, but when building SaaS becomes trivial, the underlying equations change—and many of the old assumptions stop holding.


Only people who rely on things like frameworks live on assumptions. I guess you fit into that group of people.


I am not sure its "not allowed". The abstract is interesting and thought provoking.

I would love to read the book but I personally don't have time for it - so most likely would not pay for it.

There is a danger in thinking of our "meat machines" in purely mechanical terms - so my first interest is whether whatever model being proposed can actually be adhered to. Or maybe an "AI Copilot" can implement such a framework and assist us mere humans in attaining our goals.


You hit the exact tension I struggled with while writing this. To give a bit of context: growing up in Poland, I found that without formalizing my goals, I was paralyzed. I literally couldn't "think" clearly about my future because the variables were too undefined. I wrote this book primarily as my own "antifragility toolbox"—using the language I speak best (math and systems) to debug my own life constraints. Re: The AI Copilot — that is exactly the dream. A dashboard that monitors inputs/outputs and warns: "Variance Instability Detected" before the biological system actually crashes. I am actually prototyping a small Python script for this right now. If it works, I'll post it here.


look into vector databases. for most representations, a column is just another file on disk


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: