tadeegan

Rip 10 more startups

WTF! I'd sue.

Google will buy them to reduce chance of legitimate competition probably…

Did the t-rex snort the lava off the volcano? badass!

Agree sadly. I shy away from web3 investment strategies like participating in liquidity pools because I'm scared about reporting the taxes correctly. I'm now considering ways of anonymizing my self-custody so that I can avoid this burden. Im basically forced to act illegally to avoid this toil

I guess they realized muilti-backend keras is futile? I never liked the tf.keras apis and the docs always promosed multi backend but then I guess they were never able to deliver that without breaking keras 3 changes. And even now.... "Keras 3 includes a brand new distribution API, the keras.distribution namespace, currently implemented for the JAX backend (coming soon to the TensorFlow and PyTorch backends)". I don't believe it. They are too different to reconcile under 1 api. And even if you could, I dont really see the benefit. Torch and Flax have similar goals to Keras and are imo better.

This is literally how Skynet happens lol

> With less rain, the plants in the area rely more on the snowmelt for water, leaving less water to make its way into the nearby streams. Decreased rain also means sunny skies, which encourages plant growth and water evaporation from the soil.

Logical next step: remove the vegetation for more human population!

How much tax did you pay? Long term cap gains?

Great to read these two C levels jerking each other off. Amazon culture makes me want to puke

How do you get ordinary people to install pwa. That’s my question…

The android pm probably wear Patagonia and use iPhones. Honestly

Republicans are upset about unaffordable healthcare compared to the public Medicaid.. The irony!

You can refuse to work for such an evil employer...

Ehhh, no. Even inside google TF2 migration was a total disaster and is still ongoing :)

Someone is surely profiting..

Compilers have soooo many heuristics. And a lot of it looks like a chess or Go game: You have a list of 100s of AST optimization passes (possible moves) that preserve the semantics of the program but you have limited compute with which to run iterations of these passes. What order and combination of these should you use?

> It's a known problem so we mitigate with #ifdef guards, #pragma one etc. but in my experience those band-aids don't solve the problem.

Errr, why?

As always, incredible work signal team!

I think PyTorch c++ api is less mature and harder to compile into other projects. Tensorflow started with the c++ api exposed which is why the graph format is so stable and favorable to deployment in heterogeneous environments.

Tensorflow is just such a classic clusterfuck google project. V2 had huge breaking changes (reminiscent of angular) and tons of the apis are clunky and don’t work well together. There are like 3 different ways to save a model. It’s almost like a bunch of teams built features with no oversight.

I’m pretty sure tf is considered in maintenance mode within google as Brain and the tf creators themselves have moved to Jax. I do think Google learned a lot from tensorflow and am excited to see Jax pan out.

Pytorch is a pleasure to debug. I think pytorch jit could close the deployment gap.

This is only beneficial in static scenes right? Otherwise you can’t get free labels across the whole video.

Ive noticed that the rentals on the market, while cheaper are generally lower quality. It seems to me that many landlords are opting for airbnb, where you can find 1 fully furnished 1 bedrooms for 2k$ a month rather than lock in a rent controlled tenant at the current prices.

Yea but airplanes still crash all the time

This is straight up right out of that book “3 Body Problem”. https://www.reddit.com/r/threebodyproblem/comments/blxvy1/sp...

Testing model code tends to be very difficult unless you design your training loop with lots of abstractions and dependency injection which makes the code less explicit and difficult to understand. For example, try to look at the Tensorflow Estimator framework. Absolutely awful to use but is well tested.

The other day I said “Hay Siri, take me to Buena Vista park.” She responded “the entrance buena vista Avenue?” and I responded: “oops I actually meant corona height park” and she instantly started navigation there. I actually held a productive conversation with a computer. Magical.