Do you have any citations for this case? I haven't been able to find anything that mentions such a court case (or anything mentioning connections between the Mexican Inn and the Frito Company).
583 karma · joined April 27, 2017
That being said, for my hobby/personal domains, the spam has been as close to zero as you could reasonably expect (maybe a few per week, and they are correctly flagged as spam).
I think you'll find that "maximizing any and all productivity" is both harder than you think and not really something worth striving for.
Plus as neat as these advancements are, they are nowhere nearing the ability to create a "digital double of your brain" of yourself. There is a vast ocean from where we are are today to the possibility of replicating a brain digitally (if it's even physically possible).
Do you have links or anything else you can share on the Lua specification work? I'd be interested to see what a Lua-based chart would look like.
What's the limit on language support? Is it theoretically possible to support any language/runtime? Or does it come down to the protocol (HTTP, gRPC, etc) being used by the communicating processes?
I was hoping odigos was language/runtime-agnostic since it's eBPF-based, but I see it's mentioned in the repo that it only supports:
> Java, Python, .NET, Node.js, and Go
Apart from Go (that is a WIP), these are the languages already supported with Otel's (non-eBPF-based) auto-instrumentation. Apart from a win on latency (which is nice, but could in theory be combated with sampling), why else go this route?
It blows my mind that they still have not learned their lessons with world breaking changes. How can you build anything on a database that is constantly reinventing itself chasing some new hotness?
I'm having trouble finding numbers, but the comment by Vinay was basically saying that each screening is testing for something that has 1-4% chance of killing you. Not that 4% of all cause mortality is cancer, which is incorrect. In the context of individual screenings per cancer, the numbers roughly make sense based on what I could find, but I am by no means an expert.
The specific video/content they are rehashing is the one by Vinay here - https://www.youtube.com/watch?v=-9hQO7X1bmU
I'd highly recommend listening to the Econtalk conversation as there is a lot of nuance behind why screenings (at least as they are done today) could potentially be a net negative at the individual level and don't seem to have improved all-cause mortality in a significant way (according to Vinay).
We did use a RE agent, though I'm not convinced they are worth the ~6% they get on the transaction (3% for seller, 3% for buyer), especially on the buying side.
We put 20% down and then payed down to get to a ~5% rate. This was a gamble, but it looks like it'll pay off over the next five-ish years as the rate we would have gotten otherwise would have been substantially higher (as rates go). It was previously a rental home, so not in great shape - but not what I would call a "fixer-upper".
Sometimes you just need to decide whether the home, layout, neighborhood, school district, loan, etc is worth it and, if so, go for it. Assuming you are being responsible to your obligations (kids, for example), live your life the way you want to live it.
I think a lot of people (myself included) would feel more at ease if we as a society were doing _anything_ to combat the projected worst case scenarios or at least give the illusion that we have things under control. It feels like every week there is a new story about some concerning weather event (fires, heat waves, droughts) giving more evidence to the doomer perspective.
It's interesting to imagine a timeline where Dropbox becomes a leading business/collaboration tool, similar to GSuite or MS Office. It seems like they had many of the right pieces, between storage, paper, zulip... If they had added email and calendar plus potentially their own presentation and spreadsheet tools they could be have been a contender instead of relegated to pretty just storage at this point.
https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-...
It's pretty lengthy but doesn't require a PhD to understand. If you can get to the end of it you'll have a much better understanding of what's going on.
What's discussed in the post is clear deception of the interviewers by the interviewee (using a second laptop to google answers), which is a very different thing.
In theory you could use the Otel Collector (or any other Otel-compatible agent) instead of the DD Agent to collect metrics/logs/traces. This would then make it easier for you to switch from DD to another Otel-compatible provider (Grafana, for example)... but 99.9% of what DD provides is _not_ the agent, it's dashboarding, alerting, RUM, synthetics, etc.
Basically Otel has made _agent_ switching costs effectively drop to zero, but that is a very small part of the whole picture. Like I said above, this primarily hurts vendors with proprietary agents that can't/won't adopt Otel for ingesting data.
OTel _does_ prevent lock-in on the agent side (making it easier to switch vendors) with open source components and consistent schemas, but OTel doesn't enable you to do anything that you couldn't do before with a specific vendor. It just empowers you to take ownership of your observability data, should you want to. Many don't, though. They want to throw money at someone else who can do it relatively well, hence the ridiculous DD pricing.
Regarding:
> Not sure how companies rationalize these types of services at scale when there are so many open source options to run for a fraction of the cost
At Coinbase's scale (which I assume is a lot due to the DD bill, but I haven't looked closely at it) the open source options simply won't cut it. Plus there are no scalable open source options for many of the things that DD does (synthetics, SIEM come to mind - not to mention onerous regulatory requirements). 65M seems like a lot, but it also means their cloud costs are insane - so maybe it lets them put focus elsewhere?
The current status quo is that no one knows what they are getting until it's used, at which point its too late. If you could know exactly what you are getting (plus the means to seek help without fear of legal repercussions), then this would be a non-issue.
You could also have made a similar case with alcohol, but at some point the potency makes the product worse. For example, how many people do you see drinking everclear?
My personal experience is that the GPTs is that they are a better Google. Why people seem to think that the models' "intelligence" will start scaling exponentially beyond where it is today (somehow _vastly_ exceeding the intelligence of the humans that created the model/training data itself, no less) is beyond me.
Will the models continue to improve? I suspect they will. Will it suddenly turn into a vengeful god and enslave/exterminate us all? That seems like a leap. I think we will need a true Hiroshima-style moment with AI in order to change public opinion that far.
I wonder if there is something deep inside the human psyche that endlessly looks for and, at some level, _craves_ existential crises like this. We look for danger everywhere and project our own fears and anxiety at whatever seems to fit the bill.
Uh, what? The same Google that has been crawling, indexing, and letting people search the entire Internet for the last 25 years? They have owned DeepMind for nearly twice as long as OpenAI has been in existence!
If anything this is proof that no one at Google can get anything done anymore, and lack of training data ain't the problem.
I would love to read a small write-up of how you put it together if/when you have the time. So far most of my experimentation with Stable Diffusion has been lackluster at best, though I haven't tried doing a composite yet.
That is not and has never been the problem. If you are a parent of a young child, then you should absolutely be aware of the content your child is seeing/reading. I doubt you will find anyone that disagrees.
The problem is the revisionist approach to rewriting works to appease modern readers' (apparently delicate) sensibilities.
Personally, I see this as shielding readers from harsh truths of the past (and in some cases just reality). Mr. Dahl is long dead, and yet we feel like we need to rewrite his words to ensure we don't accidentally offend someone. I mean, can you imagine a child reading the word <looks around> "fat"? Or "female"? My god, they would never be the same.
Humans are creatures of story, and bedtime is one of the few precious moments in your child's day where you can have their entire attention in a quiet and comfortable setting. Read them something you want them to hear, ask them questions about it, and listen to their thoughts. I guarantee that you won't regret it.
For anyone interested in where to start, I highly recommend anything by Arnold Lobel, Else Holmelund Minarik, Peggy Parish, Judi Barrett, and similar authors. You'll be able to find these authors at any secondary book store for cheap or buying used on Amazon.
And your students will use it to solve the problems! In the end no one will learn anything and nothing of value was created. Rinse and repeat.
I guess this is my concern - if everyone starts using LLMs for stuff like this, then what's the point of anything?
I haven't heard great things about Athena, but I'd be curious to hear more about what works.