Yeah I do not see an alternative way to easily copy paste links with things like filter settings saved.
Filters especially make sense as query params as they are non sequential but still visually readable as to what they do.
URL slugs make sense for sequential pages that are hierarchical but make no sense for non hierarchical data/routes.
Services can force tracking into links by encoding the whole url into a shortlink that makes it impossible to just remove the tracking alone as everything is encoded into a shorter non editable string.
I saw a waymo go in a nonexistent rightmost lane at a stop light, I thought it was going to turn but it instead proceeded to go forward and force the driver in the actual rightmostlane to break to allow it to merge else it would have caused an accident as there was no lane in front of it.
This was on El Camino in Santa Clara. I was highly suprised as I was under the assumption they were pretty much production ready as they have been expanding their area a lot.
Use statistical incidence rates and not "i saw a thing.." to make that call. I mean I'm sure most drivers regularly think "wow maybe humans shouldnt be allowed to drive" every time they go out on the road.
The thing about human drivers is we’re all unique little stupid snowflakes.
If a software powered car is vulnerable to a certain condition, presumably, all running that software system are. The rare day we can generalize a bad driving story, in fact.
I don't think this checks out. Would the model do the same thing when presented with the exact same inputs? Yes. Is it more likely to do the same thing at the same intersection? Probably. But if you repeat a similar setup somewhere it might not. Bad behavior still exists and should be fixed, but it doesn't mean they're bad drivers in general.
People have trouble seeing outside of their own biases and understanding how different another view can be with a different background and context to the situation. I have no problem confidently saying the parent poster has definitely made worse and more questionable driving decisions under more constrained and more dangerous situations on the road, and then never thinks twice about it after that moment because it had no consequences. All they need to do is look at driver safety statistics of autonomous vehicles vs humans to immediately reject their flawed understanding, and they never will.
Luckily, cars and driving in general aren't enshrined as an early amendment of the constitution (in the US) and aren't even considered a legal right, so pushback to change won't be artificially inflated several decades by heavily motivated interest groups seeking to spread misinformation about their safety. Not a bang, but a whimper.
You're missing that the difference is incentives, specifically perverse incentives being scaled up. If we were talking about an individual hacker who programmed their car for automated driving and it made the above wrong decision, people would straightforwardly attribute fault to the individual. The problem here is that large corpos, who will eagerly tout their perogative to do whatever they want as long as it's within the law, going beyond even that and breaking the law with impunity.
We can easily imagine a crash from such a thing being declared "no fault" (or even the fault of the turning driver!) based on corpo-sympathetic police, judiciary, and regulators who have succumbed to the inevitable "computer can't be wrong". That perceived lack of justice is the problem - when another individual does something wrong (either accidentally or willful) and gets away with it, we can brush it off as their bad behavior will eventually catch up to them. Whereas with corpos it has been thoroughly demonstrated that this will not happen.
You can buy IR and UV leds. All high end grow lights have these for plants. Low quality cheap led products won't include them but that is nothing to do with LEDs themselves that is just consumer preference and price conformance.
Fully sandboxed VMs are more secure but not everyone is looking for the most secure option. They are looking for the option that works the best for them. I want to be able to share my development environment with the agent, I have a project with 30 1gb and one 30gb sqlite database. I back it up daily and they can all be reconstructed from the code but it takes a long time. When things change I don't want to have to copy them into a separate vm bloating my storage and using excess resources and then having to rectify them, I want to be sharing the same environment with my agent so I can work side-by-side.
I would rather just have the agent not accidentally delete files outside of its working environment but I am not worried about malicious prompt injection or someone stealing my code.
For me I see the LLM as a dumb but positive actor that is trying to do its best but sometimes makes mistakes, so I want to put training wheels on it while still allowing it to share my working space.
Those prior recommendations you supplied are worse than the current ones.
Added Sugar: it says <50grams when its clear that NO added sugar is best as the new guidelines suggest.
Fat: it says to choose low fat cuts 95% and low fat milk. There is no basis for these options. you are just reducing the nutrients from fat. You should just drink/eat less of the fatty food if it contains fat, not choose a processed version that removes part of it.
Protein: The protein section clearly skews towards plant based proteins which are fine but for the majority of people animal proteins are going to be healthier and easier to eat enough of.
The protein amounts to around 35-60 grams of protein depending on the sources/amounts listed which is not ideal for a properly functioning human
Sodium: It says in multiple places to lower sodium but the studies on sodium were correlative not causative. Meaning there is no basis for a low sodium diet unless you have other health conditions.
So no they are not lying to you and these new guidelines are 100% evidence based given the new evidence that we have had for the last 30 years.
> Added Sugar: it says <50grams when its clear that NO added sugar is best as the new guidelines suggest.
False. Science studies show that up to 50 grams has little effect on your health.
>Fat: it says to choose low fat cuts 95% and low fat milk. There is no basis for these options. you are just reducing the nutrients from fat. You should just drink/eat less of the fatty food if it contains fat, not choose a processed version that removes part of it.
False, it says to choose lean protein and explicitly calls out to avoid processed meat. A lean cut of meat is not "processed" it comes that way.
> Protein: The protein section clearly skews towards plant based proteins which are fine but for the majority of people animal proteins are going to be healthier and easier to eat enough of. The protein amounts to around 35-60 grams of protein depending on the sources/amounts listed which is not ideal for a properly functioning human
False, red meat has been show to be associated with increased cardiovascular disease.
While the risk of fat and salt is likely overblown, overall the previous guidelines were pretty good. These new ones don't call out the dangers of things like red meat.
Those science studies are a load of bull if they say added sugar up to 50 GRAMS has no effect on your health. Your gut develops a craving for it like no other and your insulin spikes much harder when you intake that much on daily basis. When you're off sugar for a while, you notice how those "compulsions" you have during groceries is just due to your gut yearning for some sugar. Now fruits and natural sugar are a lot better, but even them I wouldn't consume excessively if you are in the business of high focus -work.
We could first put the LLMs in very difficult situations like the trolley problem and other variants of this, then once they make their decisions they can explain to us how their choice weighs on their mind and how they are not sure if they did the correct thing.
These models don't even choose 1 outcome. They list probabilities of ALL the tokens outcomes and the backend program decides to choose the one that is most probable OR a different one.
But in practical usage, if an llm does not rank token probability correctly it will feel the same as it "lying"
They are supposed to do whatever we want them to do. They WILL do what the deterministic nature of their final model outcome forces them to do.
I have a kinda strange chatgpt personalization prompt but it's been working well for me. The focus is me to get the model to analyze 2 sides and the extremes on both ends so it explains both and lets me decide. This is much better than asking it to make up accuracy percentages.
I think we align on what we want out of models:
"""
Don't add useless babelling before the chats, just give the information direct and explain the info.
DO NOT USE ENGAGEMENT BAITING QUESTIONS AT THE END OF EVERY RESPONSE OR I WILL USE GROK FROM NOW ON FOREVER AND CANCEL MY GPT SUBSCRIPTION PERMANENTLY ONLY.
GIVE USEFUL FACTUAL INFORMATION AND FOLLOW UPS which are grounded in first principles thinking and logic. Do not take a side and look at think about the extreme on both ends of a point before taking a side. Do not take a side just because the user has chosen that but provide infomration on both extremes. Respond with raw facts and do not add opinions.
Do not use random emojis.
Prefer proper marks for lists etc.
"""
Those spelling/grammar errors are actually there and I don't want to change it as its working well for me.
Filters especially make sense as query params as they are non sequential but still visually readable as to what they do.
URL slugs make sense for sequential pages that are hierarchical but make no sense for non hierarchical data/routes.
Services can force tracking into links by encoding the whole url into a shortlink that makes it impossible to just remove the tracking alone as everything is encoded into a shorter non editable string.