_giorgio_

9 ms·

91.
by _giorgio_ 1y ago
Do you need to rest the meat after cooking, yes or no?
92.
by _giorgio_ 1y ago
Not true, they had lidar in at least one model. It's written in his bio too.
93.
by _giorgio_ 1y ago
Website of the author with more material and lab sessions https://www.sscardapane.it/alice-book/ https://sscardapane.notion.site/Guided-lab-sessions-18c25bd1...
94.
by _giorgio_ 1y ago
It's the opposite. Frameworks like pytorch are really flexible. You can implement any architecture, and if it's not enough, you can learn CUDA. Keras it's the opposite, it's probably like you describe things.
95.
by _giorgio_ 1y ago
In google colab, how are we supposed to run it? Well, not sure that it makes sense to do it, anyway I've tried to run in in a cell and in the google colab terminal. Still waiting for auth (?)
96.
by _giorgio_ 1y ago
What kind of neural network architecture could replicate the same behaviour? Talking generically about image similarities
97.
by _giorgio_ 1y ago
Ecco il comunista
98.
by _giorgio_ 2y ago
O1
99.
by _giorgio_ 2y ago
He can't even press the shift keycap anymore.
100.
by _giorgio_ 2y ago
Clearly you don't use models so much. Even in the openAI ecosystem there are models that, while similar in theory, produce very different results, so much that some murderous are unusable. So even small differences translate to enormou
101.
by _giorgio_ 2y ago
People using AI, even the high school teachers that I know, constantly compare and battle models against each other. Even a 10% difference in the results is something that it's worth paying for, because it saves you a lot of time
102.
by _giorgio_ 2y ago
Tesla makes backup generators.
103.
by _giorgio_ 2y ago
You need to offer AI just to stay in the business, whatever is your business. Just look at how much money Google lost in that failed AI demo from 2003. The stock would be worth 50% less if the invested nothing in AI. Even the founders are b
104.
by _giorgio_ 2y ago
https://x.com/svpino/status/1592140348905517056 """ In 2017, a team led by Andrew Ng published a paper showing off a Deep Learning model to detect pneumonia. [...] But there was a big problem with t
105.
by _giorgio_ 2y ago
Deepseek spent at least 1.5 billion on hardware.
106.
by _giorgio_ 2y ago
Grok is the best LLM on https://lmarena.ai/ . --- No benchmarks involved, just user preference. Rank* (UB)Rank (StyleCtrl)ModelArena Score95% CIVotesOrganizationLicense 1 1 chocolate (Early Grok-3) 1402 +7/-6 7829 xAI
107.
by _giorgio_ 2y ago
Just an ignorant and non technical guy trying to stay relevant. He has an infinite quantity of time and somehow always finds someone to interview him about the fact that AIs don't work and have been hitting a wall since the last ten ye
108.
by _giorgio_ 2y ago
You received a tool. A great tool, a magnificent tool. Learn to understand its limitations and make the best use of it. Surely it's confused by lesser known facts, that's a thing that you can't ignore even if you interpret AI
109.
by _giorgio_ 2y ago
mirror: https://archive.is/JJsuW Alexa's answer are so embarassing that I always talk to it in whisper mode.
110.
by _giorgio_ 2y ago
* 1 point by _giorgio_ 0 minutes ago | next | edit | delete [–] https://arxiv.org/abs/2412.05265 Reinforcement Learning: An Overview Kevin Murphy This manuscript gives a big-picture, up-to-date overview of the fi
111.
by _giorgio_ 2y ago
https://arxiv.org/abs/2412.05265 Reinforcement Learning: An Overview Kevin Murphy This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision mak
112.
by _giorgio_ 2y ago
It is going to be available. I only got it some hours after the official release
113.
by _giorgio_ 2y ago
> the generation speed on this build is 6 to 8 tokens per second > ...if you want Q8 you'll need >700GB of GPU memory, which will probably cost $100k+
114.
by _giorgio_ 2y ago
Their gemini 2.0 flash experimental is on par with the chatGPT o1 model (paid offer). It's really good and I'm really positively surprised. It's not verbose like o1-mini, which is often unusable. They even got an android app
115.
by _giorgio_ 2y ago
It's probably the same model with the same limitations, released nearly two years ago? https://arxiv.org/abs/2207.01848
116.
by _giorgio_ 2y ago
They wrote an infinite number of articles, mostly on Slashdot, just to pump the development and to engage people. They ended up just alienating them.
117.
by _giorgio_ 2y ago
Bomb placed right in front of the Trump tower. That's the right title. Do you remember when, for hours and days, CNN and other news sources refused to acknowledge the assassination attempt, saying that he was hit by something not direc
118.
by _giorgio_ 2y ago
This isn't an airport.
119.
by _giorgio_ 2y ago
After many years, my head is still exploding from the hundreds of articles trying to pump the next version of perl. What a disgrace. Are there like 3 version of perl being developed?
120.
by _giorgio_ 2y ago
Y

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