Don't let your memes be dreams.
344 karma · joined February 3, 2020
Social stuff: https://www.linkedin.com/in/daniel-wasserlauf-b12681101/
Email: daniel.wasserlauf@gmail.com
Don't let your memes be dreams.
Really liked the announcement and I think this is a great step forward. Looking forward to use it. However I don't really see how we can verify the validity of AI responses with some statistical significance.
For example, one of the video demos shows Gemini updating a graph from some scientific literature. How do we know the data it received for the graph is accurate?
It feels like to me there is a missing prompt step not shown, which is to have a competing advisarial model be prompted to validate the results of the other model with some generated code that a human could audit.
Basically when humans work together to do the work, we review each other's work. I don't see why AIs can't do the same with a human additionally verifying it.
Spotify has Millions of subscriptions. 2% at scale is significant.
Here is their recent Q3 earnings report: https://newsroom.spotify.com/2023-10-24/spotify-reports-thir...
Their revenue was 3.4 Billion Euros at 2% they can take away 68 Million dollars. Which is more than enough for the business to be viable.
For me it's external system state management. Like making sure the integration test db is cleaned up correctly.
I know a lot of people like git flow for its ability to create seperate envs that can be controlled and tested, however it always felt extremely unnecessary to me when building saas products. Changes should not be long lived in this space.
I can understand how git flow would be great when the product is an artifact like a docker image, binary, vm image etc... but for managed applications / saas stuff, it's not the best.
As an aside, I think git complexity can arise for two reasons. One is legitimate, if you have hundreds or thousands of devs committing to the same repo regularly you need to have some order to the chaos otherwise it just will grind to a halt.
The other is bullshit. Where some dev / management people believe that the git process needs to be complex for small teams due to the need to justify their place by "promoting safety". In small team environments, simple branching off of main and then committing prs directly to main is more than enough in my opinion.
But git gives you the tools to go as crazy as you want, so some people do.
My point being that migrating to the cloud means different things to different companies/groups.
I'd suspect that the load is "low" but probably not unloaded.
Is there a short list of the differences between this tool and audacity. Like when would I want to use this tool over importing the audio into audacity.
Genuinely curious, bit of a noob when it comes to audio analysis.
I know other languages and cultures have slight variations but the ending sound as far as I have seen is the same.
I'm also biased since I'm building a vc backed product as well.
Super stoked to see how your professional and enterprise offerings turn out. Do you have a public roadmap anywhere?
Psychology, sociology, economics and other high level scientific forms have so many unknowns that it's extreamly difficult to verify if a claim is scientifically true so its not surprising to me that fraud is easier in these fields than others.
If it was citizens I could see a case being made that protection implementation could be based on the inputted address that is required for billing or shipping. If it's solely based on if you're physically in a country, then you need to determine in your app if the user is currently in an eu country or not. Which to me at least is more technically difficult, than just going off of a user entered address.
I know there are deep fundamental technical differences, but I could see an outcome where the end result is the same across both services. I'm not trying to justify to use tor as well, just that I don't think the argument of guilt through incorrect association is solved by not using tor.
Some level of perceived enforcement is required, but in reality it just needs to be a sign with a high fine on it. And finally some level of public funded cleanup groups and you can get pretty far with keeping spaces clean.
If you're looking to currently build a larger scale project with a few people that supports a lot of users, it's safer to go with nodejs/typescript.
But I think they're referencing the litany of transpilers and repackagers which exist for js. So you can add new features and then still have it run on really old systems like internet explorer 9 if you need to.
This has problems obviously and in my opinion for python it would be preferable.
My reasoning being that if you need your code to work on an older system being able to write and use current syntax is preferable to not, and the hard bifurcation that python did with 2 to 3 and now potentially with 3 to nogil seems to me just to break apart the ecosystem more.
But yeah that's an annoying experience if you use voice directions, and in some instances I could see it as really degrading the directions app, since "taking a left at the intersection" may be more clear than "turn left at the kfc"
Personally I think that this project is really onto something, I can see music visualization being a really great integrated feature into a lot of different pieces of software, such as in a spotify player, or ableton, youtube etc...
I think that your idea is in the right place but your go to market motion needs some work as other people pointed out. I don't know if you're going to find a lot of solo producers, or individual devs willing to pay 8$ a month for this.
I could see there being a generous free tier and then having it scale as the use of the product increases. There are also other options for changing monetization.
If you want to talk about this more, I work with companies a lot to discuss pricing strategy and gtm motions. Feel free to ping me my contact info is in my profile.