AI assisted code completion.
We have had AI-assisted code completion for a long time now. It used an obscure and esoteric form of Symbolic AI better known as type systems.
Ask HN: What startup/technology is on your 'to watch' list?
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Re: Ask HN: What startup/technology is on your 'to watch' list?
#292Tailscale - riding on the wireguard wave - https://tailscale.com/ Also Wireguard - https://www.wireguard.com/
> Tailscale
I'd recommend this alternative that doesn't require a 3rd party - which is one of the reasons to implement wireguard over a traditional VPN:
Re: Ask HN: What startup/technology is on your 'to watch' list?
#293Earlier quoted context omitted.
Things like: - std::string_view - std::span - std::unique_ptr - std::shared_ptr - std::weak_ptr (non owning reference to shared_ptr, knows when the parent is free'd) - ranges - move semantics - move capture in lambdas - std::variant - std::optional To be honest, learning rust has made me a better c++ programmer as well. Having to really think about lifetimes and ownership from an API perspective has been really neat.…
Seconded that dipping a toe in to Rust has changed how I think about C++ and object ownership. Loose pointers and copy constructors now make me feel un-clean! Move ftw. However I feel like most of the heavy lifting features came with C++11. Span, optional, variant and string_view are nice additions to the toolkit but more as enhancements rather than the paradigm shift of C++11 (move, unique_ptr, lambdas et-al).
lol i start most of my big objects by deleting the copy constructor and adding a clone member func :P
Re: Ask HN: What startup/technology is on your 'to watch' list?
#294My list would be:
1. Swift - you can mix functional and object oriented code in a way I've not seen anywhere else. It's also going to be multi platform including windows in the next version and it's making inroads with Swift-Tensorflow. I can see a lot of really cool things coming from this once it's multi platform.
2. Jai Language by Jonathan Blow. I'm not sure when it will come out but what's been shown looks promising, a game specific language could cause other innovations that could later carry over to other languages.
3. Next Gen Consoles. X-box Series X and PS5 are both doing some cool things with memory management, SSD's and GPU's. Many of these innovations will make it to PC's later.
4. New Email features (superhuman and HEY - by DHH) It seems like innovation is finally actually happening in this space.
5. Game Engine Innovations. Hammer 2 has some really cool UI for level design, Unreal 5 has some great lighting and handling of 3D, ID tech is using 3D decals to cool effect while not being expensive. A lot of the technology happening in games will spill over into other areas, Unity is doing stuff with the automative industry, Unreal with Architecture.
6. AI in use of Making Art. A good example is Unity's new artengine (artomatix). https://artomatix.com/
7. Generative Design for engineering.
8. Dreams on ps4 - How quickly people can make something in this is amazing, if it ended up on PC or VR it could change everything.
9. AR as a tool for creators more than as a tool for consumers. 3D interactive CAD like Iron Man is more exciting than a game that makes you dizzy.
Re: Ask HN: What startup/technology is on your 'to watch' list?
#295Earlier quoted context omitted.
Things like: - std::string_view - std::span - std::unique_ptr - std::shared_ptr - std::weak_ptr (non owning reference to shared_ptr, knows when the parent is free'd) - ranges - move semantics - move capture in lambdas - std::variant - std::optional To be honest, learning rust has made me a better c++ programmer as well. Having to really think about lifetimes and ownership from an API perspective has been really neat.…
string_view, span and ranges are not conductive to safety, quite the opposite.
can you explain why you think that?
Re: Ask HN: What startup/technology is on your 'to watch' list?
#296Earlier quoted context omitted.
I want to believe... I always thought WebAssembly had a lot of potential, however, in practice it doesn't seem to have turned out that way. I remember the first Unity demos appearing on these orange pages at least 4 or 5 years ago, and promptly blowing me away. But, after an eternity in JavaScript years, I still dont know what the killer app is, technically or business wise. (Side note - I encourage people to prove m…
An example I can give: I use WebAssembly for a few cross-platform plugins. E.g. An AR 3D rendering engine in C++ and OpenGL. With very little effort it is working in browser. No bespoke code, same business logic, etc. Saved a lot of time vs creating a new renderer for our web app. For me it allows a suite of curated plugins which work cross-platform. The web experience is nearly just as nice as the native mobile and…
I build a slower version of something with the same idea 13-14 years ago in Flash for http://www.makeoversolutions.com which most of these makeup companies licensed back then.
I moved on from that a decade ago but it was a neat project at the time.
But I deployed my first integration of WASM about a month ago for PaperlessPost.com. It is a custom h264 video decoder that renders into a canvas that manages timing relative to other graphics layers over this video. This code works around a series of bugs we've found with the built in video player. It went smoothly enough that we are looking into a few other hot spots in our code that could also be improved with WASM.
One avenue for WASM might be simply polyfilling the features that are not consistently implemented across browsers.
Re: Ask HN: What startup/technology is on your 'to watch' list?
#297Self-driving cars. Now that the hype is over and the fake-it-til-you-make-it crowd has tanked, there's progress. Slowly, the LIDARs get cheaper, the radars get more resolution, and the software improves. UE5's rendering approach. They finally figured out how to use the GPU to do level of detail. Games can now climb out of the Uncanny Valley. The Playstation 5. 8 CPUs at 3.2GHz each, 24GB of RAM, 14 teraflops of GPU,…
Tesla covering 3/6... stock price is definitely still low
I have a AP 2.5 Model 3. It will never be fully self driving. It still has trouble keeping lanes when the stripes are not simple. It still does phantom brakes
Re: Ask HN: What startup/technology is on your 'to watch' list?
#298Earlier quoted context omitted.
Humans are underrated.
You are right, for example, humans don't need anywhere near the amount of training data that AIs need.
I learned to drive a car when I was 13. My older cousin took me to warped tour, got hammered and told me I had to drive home. I didn’t know what a clutch was, let alone a stick shift. After stalling in the parking lot a couple of times, I managed to drive us from Long Beach all the way back to my parents house in Pasadena. Love to see an AI handle that cold start problem.
Re: Ask HN: What startup/technology is on your 'to watch' list?
#299Subvocal recognition: https://en.wikipedia.org/wiki/Subvocal_recognition Imagine how much more people would use voice input if they could do it silently. Also neural interfaces like CTRL-labs was building before being acquired. Imagine if you could navigate and type at full speed while standing on the subway. I think that rich, high fidelity inputs like those are going to be key to ambient computing really taking off…
Been wanting subvocalization since reading the Ender series
Re: Ask HN: What startup/technology is on your 'to watch' list?
#300Earlier quoted context omitted.
Tesla covering 3/6... stock price is definitely still low
I would never trust any self driving car that didn't use LiDAR. It's an essential sensor for helping to fix issues like this: https://www.youtube.com/watch?v=1cSw4fXYqWI&feature=emb_logo And it's not contrived since we've seen situations of Telsa Autopilot behaving weirdly when it sees people on the side of billboards, trucks etc.
LIDAR vs camera is a red herring. The fact that Elon and his fan club fixate on this shows you how little they understand about self driving. The fundamental problem is that there is no technology that can provide the level of reasoning that is necessary for self driving.
Andrej Karpathy's most recent presentation showed how his team trained a custom detector for stop signs with an "Except right turn" text underneath them [0]. How are they going to scale that to a system that understands any text sign in any human language? The answer is that they're not even trying, which tells you that Tesla is not building a self-driving system.