9,056 karma · joined March 7, 2019
It aligns the incentives for faster, cheaper, terse and more reliable models, because the model providers pay the wasted tokens and electricity costs.
Cars are obviously useful at moving things around places (eg. Taxis are great, Fedex would never make sense as a service with public transit), but shaping our civic society around them have been terrible for the humans within it.
AI is obviously useful, and has proven clear use-cases that generate value. I think it'll be terrible if we make civic society for it like we did the car.
Additionally, the value generated by the best models with high-thinking and lots of context window is way higher than the cheap and tiny models, so you need to provide a "gateway drug" that lets people experience the best you offer.
The research seems to always get (intentionally?) misconstrued at headlines that LLM is “bad for you” as opposed to more mundanely stealing opportunities for exercise and practice of mental activities if you let it.
Honestly, it probably led to long conversations. The tokens/GPU time for one long conversation is more expensive than multiple short conversations. They’re trying to shore up their finances, and they’re moving away from the consumer market and towards enterprise, and students were probably a bad demographic to sell to.
Doesn’t seem too crazy for a generic react native app but of course coming from the official US government, it’s pretty wide open to supply chain attacks. Oh and no one should be continually giving the government their location. Pretty crazy that the official government is injecting JavaScript into web views to override the cookie banners and consent forms - it is often part of providing legal consent to the website TOS. But legal consent is not their strong suit I guess.
First, I think there is value in the “rent seeking” Amazon marketplace because how else would the models “go straight to the seller”, another centralized search engine? Why not just use the Amazon one then?
Second, one of LLMs big weaknesses is judgement on what to trust. I would not trust the judgment of an LLM to determine “the seller is legit”… unless we outsource trust verification to a third party marketplace (who will want a cut).
Finally, OpenAI has been aggressively pushing for this so they can take a cut of the transaction. So it’ll just be another middle man.
Wow NGL this sounds great if you ignore the reality that it'll be used as a partisan backdoor to enriching the administration.
Pragmatically, even basic words from your voice can be used to estimate your age, gender, and geographic region (local accents).
But also read other comments, people are saying they answer their phone by stating their name, so plenty clearly use it as a greeting.
It doesn't share my voice (for fingerprinting, demographic leak, etc, smh).
Also works as a bot filter - Humans tend to start with a "hello..?" because they're not sure anyone is there, while robots use the non-zero audio as a signal to start talking with full confidence.
The effort being discussed is a volunteer effort among a community of tech enthusiasts, who are disproportionately privacy-oriented vs the average person. This will undoubtable skew towards middle-aged male audiences, and will be extra-selective against children. It's a best-effort collection, they're probably not turning anyone away, and it's only what they can get, they're (AFAIK) not paying anyone to collect underrepresented demographics.
Electricity would be cheaper. Here in California, a significant amount of the (very high) electricity costs are used to maintain rural power lines. If rural people moved away, we'd be able to decommission them and no longer maintain the lines.
It wouldn't happen immediately, but as more people become urbanites, we'd be able to move gas subsidies and government road maintenance spending to the urban environment, where we'd spend on more drivers-per-mile roads, OR shift to public transit funding, or simply reduce that government spending.
Over time, we'd be less reliant on cars, which reduces everyones costs, but will mean we aren't so desperate to protect oil interests, so we'd be able to stop paying for wars in the middle-east. Honestly this alone has so many positive side-affects it'd be hard to actually enumerate.
We could start today, but sweat shops and factories dominate the items on our shelves.
But I’m sure people will draw the line at human made software…/s
There are many small towns who will never generate the tax revenue to cover their $50M highway off-ramp and associated infrastructure. The thread was about internet, which has also been subsidized. We subside oil so driving long distances is cheaper. We subsidize food production. Electricity and water distribution is subsidized by urban customers. Even health care is subsidized.
If rural people actually had to pay market-rate for these resources, it wouldn't be cheaper than the city.
They build a wildly successful cloud platform, they’re expanding their subscription services, they’ve got enterprise offerings, etc
The trick is that Google accepted that none of their other business would likely have the margins and volume that search has, but they did it anyways.
Some of the devices contain browsers, and people have set up hacky ways to turn them into thin clients through that, but it’s not particularly reliable IME.
I heard some Chinese brands which made similar hardware for Chinese consumers don’t lock their devices down, letting you flash an open install of Android on them, but I haven’t seen anyone try that IRL.
Google released transforms as research because they invented it while improving Google Translate. They had been running it for customers for years.
Beyond that, they had publicly-used transformer based LMs ("mums") integrated into search before GPT-3 (pre-chat mode) was even trained. They were shipping transformer models generating text for years before the ChatGPT moment. Literally available on the Google SERP page is probably the widest deployment technology can have today.
Transformers are also used widely in ASR technologies, like Google Assistant, which of course was available to hundreds of millions of users.
Finally, they had a private-to-employees experimental LLMs available, as well as various research initatives released (meena, LaMDA, PaLM, BERT, etc) and other experiments, they just didn't productize everything (but see earlier points). They even experimented with scaling (see "Chinchilla scaling laws").
Some callers may not need to update right away, or don’t need the new feature at all, and breaking the existing callers compilation is bad. If your caller is a different team, for example, and their CICD breaks because you added a field, that’s bad. Each place it’s used, you should think about how it’ll be handled, BUT ALSO, your system explicitly should gracefully handle the case where it’s not uniformly present. It’s an explicit goal of protos to support the use case where heterogeneous schema versions are used over the wire.
If a bug is introduced because the caller and handler use different versions, the compiler wasn’t going to save you anyways. That bug would have shown up when you deploy or update the client and server anyways - unless you atomically update both at once. You generally cannot guarantee that a client won’t use an outdated version of the schema, and if things break because of that, you didn’t guard it correctly. That’s a business logic failure not a compilation failure.
You’re a better man than me. If the docs can’t even get the syntax right, that’s a hard no from me.
Also, fwiw, you’ve got a few points wrong about protos. Inspecting the binary data is hard, but the tag numbers are present. You need the schema, but at least you can identify each element.
Also, I disagree on the constructor front. Proto forces you to grapple with the reality that a field may be missing. In a production system, when adding a new field, there will be a point where that field isn’t present on only one side of the network call. The compiler isn’t saving you.
Fresh is more honest than better, and personally, I wouldn’t change it.
As a silly example, tax software probably has your full birthday, including year, which is more precise. Many social networks collected this data, as did a lot of major tech companies that implemented parental controls already.
I find that when it messes with the layout or formatting of a website it’s really annoying, and I consider the volume and type of ads an important signal for a website’s trustworthiness.
Oh and plenty of devices don’t have easy access to ad block, like my work computer.
Also you can put ad block on Apple devices.
Junior people also tend to have the humility to know they’re inexperienced and lacking insight, so they tend to be more willing to “follow” the senior employees rather than attempt to leave their mark as a leader. “Too many cooks in the kitchen” and all that jazz.
Additionally, StarLink et al are now able to directly communicate with cell phones. It therefore should be possible to route entirely in space between “data center satellites” and communications satellites and communicate directly with an end user device, avoiding the entire terrestrial internet.