I have a small Logitech laser mouse with a few auxiliary buttons, horizontal click scroll, and an unlock able wheel for fast scrolling. One button opens up workspace view (four fingers up), side scroll switches between works spaces (four fingers sideways). When my laptop is setup on my desk at home with monitor and keyboard attached this is much more comfortable and efficient than using the track pad. That’s said, MacBook track pads are magic.
I’ve been doing it for a decade now. I have a list of everything I’ve been rejected for. New apps must satisfy the list before I put them up for first review. New apps pass first try now.
Build system woes are almost always solved by deleting build cache & artifacts and trying again. Often necessary after messing around with deeper dependencies.
“ I think this one is overly verbose and probably falls out of context windows pretty quickly”
It likely will. Half way through a session I routinely watch the agent append my rules to the top of its thinking only to do exactly what it said it wasn’t going to do after another minute of thinking.
It will then apologize profusely right before doing it again.
Do you have any recommendations for effective self-learning paths? I have murky old foundations in all three fields (took first year linear algebra and a variety of logic courses) so am not starting from nothing but the few times I’ve tried to jump back in I always get a bit bogged down and can’t keep with it.
Gilbert Strang has an excellent free (IIRC) linear algebra course, accompanied by his excellent textbook. Kahn Academy has some surprisingly good linear algebra lectures as well, if something isn't clicking.
Climate and terrain allowing, bicycles reign supreme as a transport. Especially with all the new adaptive-, electric-, accessible- cycles out there, cars should be "rare but welcome strange guests" in many neighborhoods, downtowns, etc.
As you mentioned, electric bicycles flatten terrains (so do wide gear ranges), and jackets neutralize climate. There seriously isn't anywhere that is inappropriate to cycle. The only major limiting factor for people feeling comfortable biking everywhere is the threat of violence due to people driving cars.
Lightening is another limit. I'm going to drive to work today because there is a 20% chance of thunderstorm when I'm planning to going home, and that is too much risk.
Actually no I can’t recall the last time I tried to ride a bike in the snow. But I know inherently that snow itself would be alright, but snow is almost always accompanied by a layer of ice below, which simply can’t be fine. This is the case in Canada at least.
e-bikes are more climate friendly than human-powered bikes.
5 grams CO2 equivalent emissions per mile e-bike, 40 grams per mile for human eating exclusively bananas. Much, much worse for other dietary choices. Embodied carbon emissions in the bike itself are essentially equivalent.
The carbon in food is not captured or emitted in any coherent sense here. The crops are grown (capturing the carbon in the first place) for the purpose of feeding people -- in the same way that modern American forestry for paper is functionally carbon neutral (ignoring transport and processing) because the trees are in equilibrium. The counterfactual of not eating the food results in fewer crops and basically the same atmospheric carbon dioxide.
Edit: if you only mean food transportation carbon, it seems impossible bananas are literally optimal per calorie.
From the end notes, I think the author's response would be that the carbon equivalent emissions come from the fossil fuel used in growing, fertilizing, harvesting, transporting, refrigerating, packaging, and so-on.
The larger point of the book is that specific accounting is messy, but if we proceed anyway we can get to the rough orders of magnitude that are more useful.
Yes. I wrote a paper on it a long time ago. Even on the lowest carbon footprint, vegan, diet and even with coal power and even accounting for production and lifetime costs, electric bicycles have a smaller footprint than walking or traditional bicycles. Probably even more so now as the numbers I were using were 20 years ago when e-bikes were not fully enjoying economies of scale.
E-bikes are really power efficient, and food production is very inefficient. Your average American commute probably uses less power per day than a refrigerator.
That said, it’s not really meaningful when comparing to the carbon footprint of driving. Diet and e-bike vs bike just really does not matter compared to the choice of driving an ICE or not driving an ICE. It’s more of just a neat fact.
Are you sure? Motorcycles already have computers, it isn't a stretch to think they could broadcast data about you. Maybe they are a decade behind cars in doing this, but I doubt it is anything else.
Bicycles don't have enough power to spare to broadcast data. (but my ebike could and I wouldn't notice the difference)
You could argue this for any mobile product, including bicycles. There are already subsidized trackers for them. It isn't much of a distance to the future when someone is to just build them into the frame.
lol I’m spending max $50/month right now on a couple light subscriptions and my velocity is insane right now (full stack mobile app development) I’m leaning into it hard while these cheap plans still exist and building out a big platform that I can easily generate new apps from. Hoping by the time the rug pulls I can just go back to hand cobbling these apps together from the modules I’ve pumped out and never even consider giving these companies a massive portion of my monthly income
> to ban something we must be able to construct an argument that does not hinge on morality. For example, theft is bad because it deprives you of your possessions. No need to invoke morality.
Ok, I'll bite. Why is it bad to deprive you of your possessions?
And given that the house always wins, is it not depriving the gamblers of their possessions?
Gambling creates addicts, and addicts are more likely to act in desperation. They might steal, default on debt, or kill themselves and are less productive members of society. I bet societies with lots of addicts are much less likely to thrive because they carry a ton of dead weight. Thus we should ban or at least curb gambling because it hurts us all in general.
We legalized online gambling, the end result is more and earlier addiction and the added tax does not outweigh the societal cost due to loss of jobs, added crime and secondary effects of broken families on monetary, let alone ethical grounds. And they had to change the law to have more bite due to gambling sites mostly ignoring the required checks on addicted and heavy usage players, because profits have to be made. At least they got rid of the insane commercials since that's what most normal people complained about.
> For example, theft is bad because it deprives you of your possessions. No need to invoke morality.
This assertion also hinges on morality. Why is being deprived of your possessions bad. You ultimately have to reach for an ethical framework to justify it.
In North America iPhone/android split is far from 50/50. I have 4 different apps running and the split is about 80/20 and has been for a decade. Internationally android is used at a higher rate - but that is decreasing as lesser economies play catch up.
Not sure what bubble you live in, but that is incorrect. Maybe in California it's 80/20. Every single statistic globally is nearly 80/20% for android. There is a few rich markets and they may be 80/20 for Apple, but realistically Android wins every single time, no matter what market you look at.
China/India are like 30-40% of the world, and they are both under 20% usage.
Europe - 60/40% split for android
US/Canada - 40/60% split for iPhone
Even some of the higher countries are only 70/30% for iPhone.
Ignoring that is fine if your target is rich North Americans.
Effective planning with LLMs isn’t prompting “design me a system” - it’s asking “how would a system to accomplish x be designed” and then engaging in dialogue and research with the LLM as an assistant and critic - running outputs through other agents for further critique and refinement - asking for justifications of decisions you are not informed enough to evaluate properly yourself. It is entirely possible to develop strong systems outside of your current skill and knowledge with methods like this. When done properly your own knowledge should have grown to meet the product you end up with.
> It is entirely possible to develop strong systems outside of your current skill and knowledge with methods like this.
If this is true how can you confidently make this assertion.
You yourself are not in a position to evaluate it, you are just running it through a couple times hoping for a "oh wait, you're right to call me out on that, that is not correct at all".
I've found relying on my own research first for a local LLM works much better. Asking a biased source to find it's own research will result in biased research.
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