This is too funny. Over lockdown I made https://isjapanopen.com/ so a group of friends could easily check if our cheap Japan tickets were worth anything yet.
Glad to have another HNer validate the project idea!
I agree, time will tell. At least AI day was promoted more as a recruiting event rather than a showcase or product announcement. Agility Robotics really has a good chunk of the hardware figured out with Digit. Gonna be interesting to see how this plays out (and how quickly).
Hope the Aptera safety testing comes back better than these older cars. Aptera and similar aerodynamic, (hopefully) inexpensive cars are really a nice middle ground between hefty Teslas and EV motorcycles.
I think it depends on whether you're talking about the transaction containing the NFT metadata (on chain) or the actual data the NFT references in that metadata (ipfs, etc.)
For my personal homelab Nginx Proxy Manager has been great (https://nginxproxymanager.com/). It provides a dead simple ui for configuring Nginx to expose internal services, even websocket servers, and integrates easy https cert managmenet (with Let's Encrypt wildcard subdomain support!).
Typically with ph sensors like this you also get three ph packets(4.01, 6.86, 9.18) which when mixed with distilled water get you a baseline ph for calibration.
The "Text to SQL" parser bundled with Allen NLP may be a good starting place (https://demo.allennlp.org/atis-parser). The devil is in the details when you have to make assumptions on what the user wanted though. For instance, does "What was the worst week for tech stocks?" mean by market cap, largest relative losses, etc. If you can constrain the problem you may be able to get away with just named entity recognition.
Sounds similar to a redox flow battery (https://en.m.wikipedia.org/wiki/Flow_battery) which uses tanks of anolyte and catholyte solutions to store power. Energy density for Vanadium based redox flow batteries are only 20Wh/kg but might be worth it given the volume of a typical (normal sized) tree.
This is incredible! The minimum impact I see is much improved chatbots and conversational UIs. Text generation libraries in the future might be like super powered printf formatting where the number placeholders are actually pplm discriminators used to force GPT-2 to add a position for text. Then the rest of the sentence prefills %s placeholders using a combination of other pplm discriminators.
e.g.
printf("%[budget]s %f", 654) where the stribg placeholder is generated using the bag of words discriminator of "budget" related sentences that also contain a single float placeholder (which is then replaced with your custom value).
That is why I am excited about TiltFive - AR TableTop. Restricting the environment to a table (31" by 31") makes the experience more aligned with the existing hardware. Still teathered to a laptop/desktop but you get 110° fov with 720p each eye. Once developers and users get a sense for mixed reality better/more novel applications will get more development. AR productivity software feels revolutionary.
Glad to have another HNer validate the project idea!