9,293 karma · joined August 21, 2009
Of course, the big interest these days is in cloud based assistants, where synthesizing on server and piggybacking on the rest of the answer is quite reasonable.
The "Anger Speech" has an obvious lisp (Maybe a homage to Elmer Fudd?). But I hear a similar, but more subtle, speech impediment in the "Adoration Speech". The "Fearful Speech" might have a slight warble to it. And the "Long Speech" is difficult to evaluate because the speaker has vocal fry to an extent that I find annoying.
And take off again, if reusable spacecraft are meant to be used.
Apple did build Apple II models, up to and including the Apple IIgs. They had a good run. And the line was not without its flops — the Apple III was a notorious disaster, though allegedly more due to Jobs than Wozniak.
But none of the pure 8-bit PC vendors survived the 1980s. One of the better qualities of Jobs was that he was not afraid of the company disrupting itself — foregoing the short term success of the Apple II line in favor of the Mac, which in the long run was vastly superior. The same situation played out with the iPhone disrupting the iPod.
Meanwhile, Woz has been involved in all sorts of products, including a cryptocurrency, and I can't think of a single one that got significant traction.
To make matters worse, the cable box remote works via Bluetooth, the TV remote over IR, so getting any universal remote that works with both AND is simple seems a difficult prospect.
What are people even doing for universal remotes these days? Our household is equipped with Logitech Harmony remotes, which are no longer being made, and I dread the day they stop working.
It would also be of limited use, as the engine is purely CPU based; it is single threaded and does not even use SIMD AFAIK, let alone GPU features or the neural engines.
Limiting the search depth is much more deterministic. At lower levels, it has hilarious results, and is pretty good at emulating beginning players (who know the rules, but have a limited skill of calculating moves ahead).
One problem with fixed search depth is that I think most good engines prefer to use dynamic search depth (where they sense that some positions need to be searched a bit deeper to reach a quiescent point), so they will be handicapped with a fix depth.
I was maintainer of the Chess app from the early 2000s to about 2015. We first noticed in 2004 that level 1 (which was then "Computer thinks for 1 second per move) was getting stronger with each hardware generation (and in fact stronger than myself).
So we introduced 3 new levels, with the Computer thinking 1, 2, or 3 moves ahead. This solved the problem of the engine getting stronger (though the jump from "3 moves ahead" to "1 second" got worse and worse).
A few years after I had handed off the project, somebody decided to meddle with the level setting code (I was not privy to that decision). The time based levels were entirely replaced with depth based levels (which eliminates the strength inflation problem, but unfortunately was not accompanied by UI changes). But for some reason, parsing of the depth setting was broken as well, so the engine now always plays at depth 40 (stronger than ever).
This should be an easy fix, if Apple gets around to make it (Chess was always a side project for the maintainers). I filed feedback report 21609379.
It seems that somebody else had already discovered this and fixed it in a fork of the open source project: https://github.com/aglee/Chess/commit/dfb16b3f32e5a6633d2119...
So I'm glad Apple is not trying to get too much into a bidding war. As for how well orgs are run, Meta has its issues as well (cf the fiasco with its eponymous product), while Google steadily seems to erode its core products.
Maybe OpenAI should try the classical gambit of declaring that they could not possibly betray the confidence of a poor orphan.
No longer noticing the smell is NOT a good thing!
On the advice of a massage therapist I instead started a habit of using a home cycling machine for half an hour each morning. So far, it has worked wonders for me, and I hope I can hold on for a decade more, by which time the injection mentioned in the article might be ready for humans.
A friend recently explained to me that this trend is awful for newer businesses trying to get into a niche:
* Chatbots give a lot of weight to Wikipedia in their training data.
* Wikipedia demands "notability" for pages being created.
* So non-incumbent businesses have a hard time getting on Wikipedia, and chatbots keep recommending incumbents.
Yes, Apple was/is mostly about computing as an appliance (realized fully in iOS), but there was occasional dabbling with User computing, especially with HyperCard, and to some extent with AppleScript. It seems that ultimately these did not have enough uptake to warrant investing more into them.
The more time I spend getting elderly people’s entertainment systems back into a state where they can watch their 3 favorite TV channels in peace without getting lured into the paywalls of their Android TVs or cable providers, the more sympathetic I’m getting to the “appliance” view.
b) They have a complete lack of respect for robots.txt
I'm starting to think that aggressive scrapers are part of an ongoing business tactic against the decentralized web. Gmail makes self hosted mail servers jump through arduous and poorly documented hoops, and now self hosted services are being DDOSed by hordes of scrapers…