I've had a sortof gaseous reflux for years I can't seem to eliminate. Ive seen these exercises and they sounded like BS or not applicable to my symptoms of LPR. Maybe I'll give it a go after all... I've had most success with digestive enzymes and eating more veggies, less packaged food. Anyone have similar experience and solved it I would be interested. PPIs only worsened the problem.
> Suddenly, everyone was talking about HTTP APIs, when they said API.
I always try my best to delineate for people asking, but often I find they only care about the web API case, so me harping on about how an API can be used to control a robot OR a web server often just confuses them more.
they aren't masked behind national security, that IS the issue. China was asked to host data on US servers, so it garunteed they couldn't access the data, yet there's evidence Chinese employees were accessing the data. That's strike one. Now they have an app that can sway the public opinion of ages 8-30, by feeding them content that presents a certain perspective example: during the tiktok hearings in the past, on tiktok there were memes (probably boosted) that purposefully made lawmakers look stupid, even if they had reasonable questions. This swayed public opinion in itself. Also bonus, it gives access to some user data too. That's not to mention China doesn't allow a US based app like tiktok to exist in their version of the internet.
are we limited though to waiting for glass though? can't we already do these things via a lens like Google lens? I get the ergonomics of the glasses is key, but we don't have the software to do these things elegantly on a lens yet do we? But there's nothing stopping us working on them even without the hardware.
LLMs in their current form seem to me like intuitive thought, like what we use when in conversation with friends over a beer. It seems like only one part of a future AI brain, there still needs to be another system for maintaining a world model, another for background planning, etc. These + vision and hearing models to take in new info about the world and we'll have something resembling human intelligence where all that data meets
normally I'd agree about Trump's honesty, but in the debate and subsequent Harris interviews I saw a lot more deflection, misdirection, lies/mistruthes and non-answers than I did from trump. Sure trump says some wild things which are often only 50% ish true. But kamala would openly call things lies that were verifiable fact, those are lies too, and she lied a lot.
noticed something similar with my non airport Noise cancelling earbuds. If I had to guess, I'd say those frequencies we can't hear are still damaging our ears
imo life is filled with too much these days to handle in 2 days. the rest, administrative and maintenance required to keep things moving takes 2 full days.
yes people would, if we had a reliable metric for safety of these systems besides engaged/disengaged. We don't, and 10x safer with the current metrics is not satisfactory.
I'd challenge the legitimacy of the claim that it's 10x safer, or even safer at all. The safety data provided isn't compelling to me, it can be games or misrepresented in various ways, as pointed out by others.
not impressed by slow, teleoperated movements and scripted dance routines. Best they showed off was walking, and that was slow and engineers guarded the bots closely to ensure nothing went wrong.
the problem is, even if you solve 80% of cases 100% of the time, those 20% of outliers are not easy to get 100%. How should a autonomous car behave when it sees a basketball bounce across the road near a playground? Any human would assume: "there might be kids, I should slow down even if the ball isn't obstructing my path" a car isn't going to be able to make those decisions.
> Best of all, they're strongest where I'm weakest: finding all the arbitrary details that are needed for the question. That's the labor-intensive part of learning technical things.
not arguing just an open question here but, is there a downside to this? Perhaps we won't retain this knowledge as easily because it's so readily provided. Not that I want to fill my head with even more arbitrary information, but there's probably some fluency gained in that
there's a massive difference between city planning in European cities vs Canadian for example. I walk my groceries too, like 18 blocks, it's walkable but not what I would define as "a walkable city", which would be someplace with pedestrian priority zones and not needing to walk more than 10 blocks for anything you might need.
author pointed out that either way drivers behind him would've been very confused, so even if it DID correct, it still made mistakes that disrupted the flow of traffic.
I wonder if those Vegas loop Tesla use FSD? Or if the Teslas being tested in parking lots count as FSD miles. Didn't Tesla game their range numbers? Didn't Musk say "we could've gamed our demos, but we actually didn't!" for their city to city demo? Also notable they released a 30 day free trial so it makes sense to see an uptick
great comment. As an example, you don't need to look further than tiny IG fraudsters either, they're so obviously grifters/liars but their comment sections are filled with (likely paid) sycophants. Detractors are torn apart before their comments can gain traction. Honest folk don't have the time or resources to do fraudster takedowns. For fraudsters that's their entire business model
I'm actually more interested in side effects of prolonged IF or fasting in general. My impression over the long term is it can contribute to gastritis. I don't see any evidence to support this other than anecdotally how it feels to me.
maybe related, but everything I do for the first time, I will do incorrectly at least in part. Even down to things like opening a new type of jar, taking public transit in a new city, making a big purchase, etc. I don't know if it's just me, or says something about my intelligence or not.
even so, unless I misunderstand... LLM are most likely to pick what they've seen the most, ie: what is the most common recommendation it's seen during training; barring rlhf anyway
that's not the point. Commenter said a human couldn't handle fog/snow either, which, in this case, is objectively false. FSD failed when human vision and hearing did not. Maybe we need more then cameras afterall?
> This person knew the system had malfunctioned at the same spot before, yet they choose to enable it again
they roll out new versions regularly, that's a valid excuse to try it again on a new version at "something it failed at previously". Funny how everyone assumes OTA updates will always fix problems, and never create more.
watch the video, a person can easily see the train, gate and lights before they disengage. Also a person would have heard the crossing noises, and the train horn.