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MARKETING FUUUUUCCCKSSSS!!!
The fact that I publish a contact email address on my GitHub profile for email about my fucking GitHub doesn't justify sending me unsolicited shit!! I get that you want your product out there, I get that you don't want to pay for.. you know, regular fucking advertisements, just like everyone else, because your product is entitled to special treatment, right?!
Let me tell you something, Yaren Sahin. Just like with Clark from InVision and the Chinese motherfuckers with their injection moulds from earlier, this is a clear reminder for me to avoid your unethical business like the plague! Fucking piece of shit!!
(better quality screenshot: https://i.imgur.com/ZL3ebFZ.png)
Which by the way I'm actually legally allowed to upload, because this email was unsolicited. You know, because unlike those marketing people I happen to know the laws a bit.
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I don't fucking believe it! Who the fuck navigates on right click!? Invision, you fucking piece of shit! Can't you do one fucking thing right?3
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We don't have a designer yet in the team so we had to learn Adobe XD on the side to prototype our ideas. After months of getting the hang of it thinking this semi-free tool will work for us to save some money, Adobe decides to change their pricing plans starting in April 2020 and it will no longer be free. It feels like Adobe trapped us to get used to their platform and then secretly slap us with a price tag halfway. We can't blame them since we're all trying to put food on the table here. We started exploring Figma today and oh boy was it a gift from the gods! The features are so much better. They make our workflow faster!3
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Yesterday I had a conversation with a mobile app development company to make a clone of the current contacts app. 3 points from 10 mins conversations;
1. They offered me for a working prototype in just 35% of actual app development cost. They'll take 15 days to work on that. ( Me: "Do you mean the prototype that I created in 40 mins using invision and sent you its video recording?" after a little argument they agreed that they meant the same.)
2. They said they will have to embed the complete search engine in the app. (Really!! we never name searching in DB as "search engine")
3. They said they'll take approx 15 days in UI and UX. (Me: "will you change the designs I shared?" They: "It is our internal process, we can't give much detail on that")1 -
Designing with "real" data
In Interaction Design Uni i've got this assignment to design a prototype for an "Ebay for used books". A requirement is that we have use "real" Data and not lorem ipsum for our design prototype tools. Which is a fair point but....
It's about 50 book categories (crime, history, romance) we have to cover, and for every category the prof wants at least 2 Books.
I've don't have the time to type in the (meta)data for 100 books at 30 JSON properties by hand. What would be your advice?
Do you maybe know a easy to use online bookshop API? (remember I'm a tech savy designer not a dev)
Or do you know someone in a low income country who does data entry? Or any experience with hiring someone on fiverr?
Thank you for your help. :)
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I had the idea that part of the problem of NN and ML research is we all use the same standard loss and nonlinear functions. In theory most NN architectures are universal aproximators. But theres a big gap between symbolic and numeric computation.
But some of our bigger leaps in improvement weren't just from new architectures, but entire new approaches to how data is transformed, and how we calculate loss, for example KL divergence.
And it occured to me all we really need is training/test/validation data and with the right approach we can let the system discover the architecture (been done before), but also the nonlinear and loss functions itself, and see what pops out the other side as a result.
If a network can instrument its own code as it were, maybe it'd find new and useful nonlinear functions and losses. Networks wouldn't just specificy a conv layer here, or a maxpool there, but derive implementations of these all on their own.
More importantly with a little pruning, we could even use successful examples for bootstrapping smaller more efficient algorithms, all within the graph itself, and use genetic algorithms to mix and match nodes at training time to discover what works or doesn't, or do training, testing, and validation in batches, to anneal a network in the correct direction.
By generating variations of successful nodes and graphs, and using substitution, we can use comparison to minimize error (for some measure of error over accuracy and precision), and select the best graph variations, without strictly having to do much point mutation within any given node, minimizing deleterious effects, sort of like how gene expression leads to unexpected but fitness-improving results for an entire organism, while point-mutations typically cause disease.
It might seem like this wouldn't work out the gate, just on the basis of intuition, but I think the benefit of working through node substitutions or entire subgraph substitution, is that we can check test/validation loss before training is even complete.
If we train a network to specify a known loss, we can even have that evaluate the networks themselves, and run variations on our network loss node to find better losses during training time, and at some point let nodes refer to these same loss calculation graphs, within themselves, switching between them dynamically..via variation and substitution.
I could even invision probabilistic lists of jump addresses, or mappings of value ranges to jump addresses, or having await() style opcodes on some nodes that upon being encountered, queue-up ticks from upstream nodes whose calculations the await()ed node relies on, to do things like emergent convolution.
I've written all the classes and started on the interpreter itself, just a few things that need fleshed out now.
Heres my shitty little partial sketch of the opcodes and ideas.
https://pastebin.com/5yDTaApS
I think I'll teach it to do convolution, color recognition, maybe try mnist, or teach it step by step how to do sequence masking and prediction, dunno yet.6 -
What do you use for your side-projects regarding Anti-DDoS protection?
I have a community with 1-2k daily users hosted in Siteground. Currently, I am not experiencing any DDoS issues (mainly L4) but I used to when I was using another service provider. The trade-off is that the machine and the service I'm paying here is way more expensive.
I don't care about managing the server, but I was looking for a cheaper option to get my project with.
The stack is LAMP and it is an Invision Power Board forum.
What do you recommend? Which service(s) do you use for your projects and how do you prevent DDoS on your side?13
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