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Based on our record, Genetic Cars 2 seems to be a lot more popular than TabNine. While we know about 26 links to Genetic Cars 2, we've tracked only 2 mentions of TabNine. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
As applications grow in value to the end user so do they grow in complexity. Developers are pressured to increase productivity. Startups like Tabnine and Raycast have had impressive funding rounds recently, indicating how important developer productivity has become. With this pressure to perform, developers don't have the time to test each API connection for vulnerabilities or perform periodical penetration... - Source: dev.to / over 2 years ago
We also use rust to build Tabnine! (see https://tabnine.com). Source: about 3 years ago
Maybe similar in spirit as idle games: I used to enjoy BoxCar2D where you just sit back and watch cars evolve using genetic algorithm. The original version[1] requires Flash, but looks like someone ported it to HTML5[2]: [1] http://boxcar2d.com/ [2] https://rednuht.org/genetic_cars_2/. - Source: Hacker News / about 1 month ago
Watch this for a while, it randomly generates a bunch of triangles and circles, the ones that make it furthest to the right have their code passed onto the next generation with random mutations. In almost no time you'll have a bunch of cars that are evolved specifically for the niche of that track. No guidance needed. Source: 6 months ago
You can actually produce a better analogy with a genetic algorithm. In the linked example, you can watch the evolution of simulated cars. Just take note that while the simulation is a good illustration of evolution, it's also, by necessity, vastly simplified. (I guess running for about 4 billion years would incur off-putting cloud costs.). Source: 6 months ago
This really doesn't require a nural net. You can run similar learning algorithms in your browser. Source: 12 months ago
I learned about genetic algorithms: https://rednuht.org/genetic_cars_2/. Source: about 1 year ago
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