I remember when Siri was first demoed, a dev I worked with was convinced it was just like having human personal assistant. I hadn't seen the demo, but I was confident he was wrong.
Haven't tried this either, but I'm equally confident it wouldn't work .. or even kind of come close to working
Siri was objectively better in the past - I remember using it when I got my iPhone 4S and being impressed with how it returned very relevant data from WolframAlpha and other sources - then it all dried-up and all Siri is useful for now is voice-control for my bedroom lights and phone alarm...
Haven't made a comparison yet but would love to hear about any findings. So far, for the intended use cases, meaning narrative docs with lots of text, images and code, it works really well. We're still breaking up the Markdown into sections and comparing embeddings as this strikes a good balance between performance and cost, but will also plan to let users experiment with other approaches, such as sending entire corpuses of text to GPT-4.
Also for now, our main focus has been on the DX: how can we provide simplest way for adding a prompt to an existing docs website, which also has great UX for end users reading them.
Once we figured out the "CRDT trick", i.e. simulating file changes as CRDT update operations, it was surprisingly quick to implement. If you look at our repo [1], you will see that the code is fairly straightforward and succinct. But this is very much thanks to the excellent work of Kevin Jahns on Yjs [2], which has made it a breeze to work with CRDTs in an efficient way!
Of course, why wouldn't they use the latest stuff? Farming technology is literally the reason you and your (relatively) recent ancestors aren't slaving away in the fields. Doesn't matter if that's combine harvesters or logistics apps.
Opendoor helps sellers of primary residences sell their homes without putting them on the market. They also help individuals buy primary residences that they've purchased.
We're helping individuals buy Single Family Homes as rental properties from the market, helping with all aspects of purchasing and managing rental.
When you work with Awning, you're assigned an Awning Advisor, a licensed real estate agent, who understands your financial goals with real estate. They then ensure that Awning is finding the best properties for you to purchase as a rental home. Awning agents only work with individual investors on our platform meaning they have a lot more expertise in the investing domain than a traditional residential real estate agent. They're salaried and receive benefits as well!
All of the properties on our platform have been curated by a combination of our algorithms and team and they come with a picture of their estimated financial returns, including numbers like the expenses you'd have maintaining the property as a rental and the rental income you'd yield. We've spent a lot of time building systems to analyze every listing on the market and surface the best deals -- something that the best firms on Wall Street have built themselves but haven't given retail investors access to. We're democratizing access to the speed and data these investors have.
Once you've purchased a property with us, we connect you with a vetted property manager who manages your rental day-to-day, dealing with maintenance requests & finding a tenant.
Since we're a licensed brokerage representing our customers, we don't have to charge any extra fees for our service -- we make money through the commission fee that's included in every listing on the market, regardless of which brokerage you buy it with.
Let me know if you have any other questions -- hope that's helpful!
and can the rental properties you purchase on awning ever be converted into your own residence or is this strictly for buying RE that will have a yield for you?
