If you're using a computer from any time in the past 20 years or so it's probably capable of multitasking so you can open another browser to pay your bills in the meantime.
I'll give myself as an example, between writing that first comment and replying to you, I downloaded and built ladybird on MacOS - it took 25 minutes, most of which was me fixing build dependencies - and here I am replying to you from an alternative browser. Text navigation is a little weird and text boxes are weird, but so far it works.
Of course, if building in the background is more effort than you're willing/able to expend, then continue using Chrome or Firefox until others finish the alternative, and then decide if the time required to download, install and get used to a packaged browser is also going to be a hindrance to you paying your bills.
It’s rough at first but you will learn the baby’s rhythms and preferences. If you track their sleep and wake up times (I did it the old fashioned way in a notebook) you’ll see a pattern emerge pretty quickly, and then it gets easier because you will figure out how to work with it.
Every baby is different so most of the advice you find won’t work, but if you try enough things you’ll eventually find something that works consistently. Or you might just luck out and get a good sleeper.
The big tip I have for you is to understand wake windows. Babies can get too tired to sleep(!) so you need to make sure to put them to sleep roughly 1-1.5 hours after they last wake up.
Follow a routine every day. I posted elsewhere in this thread what worked for us. It was tough when they were infants because neither of ours slept through night till about 2. The routine saved us.
try co-sleeping, and also a comfortable baby-carrier that allows you to carry the baby around while keeping your hands free so you can work. the most difficult from babies not sleeping is that they are not supposed to sleep alone. see attachment theory. the other advice, if you can follow it, is to sleep yourself every time the baby sleeps. again, co-sleeping makes that easier.
I dunno, we found that our kid slept slightly better moved to his own room at 5 or 6 months old. Although that meant maybe 4 wakings rather than 5. Now he's nearly three years old and sleeps solidly for 10 or 11 hours. My guess is that food and metabolism have a big part to play.
"Value" is not this objective measure that can be deduced from someone's output. It depends on many variables like cost of living, the job market, tech trends, and industry competition. Could very easily fluctuate 50% or more in a short period of time.
That's technically HMD a separate company but with some Nokia people involved. Nokia just licensed the Nokia brand to them and I think that deal ran out some time ago. I had a Nokia Android phone before I got my Pixel 6 a few years ago. Decent value device but the camera was a bit meh.
Nokia actually did an Android phone just before MS acquired them which they then promptly killed. And then of course they pulled the plug on the whole business unit. HMD apparently still makes feature phones based on Series 30. That's the pre-smart phone platform that a lot of Nokia fans remember fondly. The famously indestructible phones.
> any such galactic intelligence would probably recognize that its predecessor were meat
Perhaps it's predecessor was just advanced enough to build self-modifying replicators and fire them out into space. Eventually it hits a planet or asteroid and gradually becomes sentient and intelligent. No trace of how it originated.
1st generation stars seed the galaxies with carbon.
2nd generation stars are a sea of amino-acid comet soup. One bag-of-mostly-water lifeform evolves sentience. Its legacy is silicon intelligence, broadcast through the galaxy. It disappears.
3rd generation stars illuminate meat-based life, but it holds no novelty for the silicon travelers between the stars.
The concern for me about LLMs confabulating is not that humans don't do it. It's that the massive scale at which LLMs will inevitably be deployed makes even the smallest confabulation extremely risky.
I don't understand this. Many small errors distributed across a large deployment sounds a lot like normal mode of error prone humans / cogs / whatevers distributed over a wide deployment.
There's a difference between 1000 diverse humans with varied traits making errors that should cancel out because of the law of large numbers vs 10 AI with the same training data making errors that would likely correlate and compound upon each other.
Let's say a given B2B system deployment typically requires 100 custom behaviours/scripts and 3 years worth of effort. A team of ten people can execute such a deployment in 3-4 months. The team has the capacity to fix up issues caused by small human errors as they arise, since they show up roughly once a week.
With the advent of LLMs, a new deployment now takes 3 days. Consequently, errors requiring human attention crop up several times a day.
I have yet to see a comparison of human vs. LLM confabulation errors at scale.
"Many small errors" makes a presumption about LLM confabulation/hallucination that seems unwarranted. Pre-LLM humans (and our computers) have managed vast nuclear arsenals, bioweapons research, and ubiquitous global transport - as a few examples - without any catastrophic mistakes, so far. What can we reasonably expect as a likely worst case scenario if LLMs replacing all the relevant expertise and execution?
Your project vue-skuilder has 6 github action steps devoted to checking the work you do before it's allowed to go out. You do not trust yourself to get things right 100% of the time.
I am watching people trust LLM-based analysis and actions 100% of the time without checking.
There’s been enough divergence between words and actions from Amodei for me to also consider him deceitful, if that’s really the low bar you want to set. I’m not saying he’s worse than Altman, just to be clear.
Yep. That is why doing both can be beneficial. Alerts are more proactive if acted upon, but often too easy to ignore meaning ballast is more fail-safe in that respect.
I'm sure this impacts certain cultures in the US, but I've got to imagine that's a pretty tiny impact compared to pragmatic concerns like "where can I charge this" and "how often do I need to charge this".
Oh I see. So yes, for pedestrians standing nearby when you start up. That probably represents 0.01% of the people I encounter on my drives. The other 99.99% don't notice.
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