thatsadude

7 ms·

1.
by thatsadude 7d ago
DeepSeek invented the whole reasoning paradigm and keep pushing for innovation. I hope they get the success they deserve.
2.
by thatsadude 1mo ago
This is “google brain”
3.
by thatsadude 3mo ago
Funny to think about this when he got fired releasing a well-received product. On the other hand, Google released a subpar antigravity 2.0, full of bugs, almost unusable. The tech lead of Antigravity went on X to claim users don't know
4.
by thatsadude 3mo ago
So are my DSP/Audio ML career, I spent decades acquiring the expertise. Now at 40, I don't know what to do if I lost my current job. Very sad, but from economic POV, I also don't need junior engineers in my team anymore.
5.
by thatsadude 4mo ago
Nawh, they trained on test since Llama 2, no wonder.
6.
by thatsadude 7mo ago
On semantic VAD, I recommend https://github.com/pipecat-ai/smart-turn
7.
by thatsadude 8mo ago
I hope SpaceX succeeds
8.
by thatsadude 9mo ago
Nice read!
9.
by thatsadude 11mo ago
Has been a life changer for me.
10.
by thatsadude 1y ago
See: https://arxiv.org/pdf/2411.03923
11.
by thatsadude 1y ago
Same. I went to this thread and saw similar talking points brought up. Dangerous time for the US ahead.
12.
by thatsadude 1y ago
Bad investment IMHO. Mistral was started by people who cheated on benchmarks with their Llama 1. It showed as they had the head start but fell far behind Gemini, DeepSeek and Qwen teams.
13.
by thatsadude 2y ago
You can optimize prompt with MIPROv2 without examples (set the max number of examples to 0)
14.
by thatsadude 2y ago
My go to framework. I wish we can use global metrics in DSPy, for examples, F1 score over the whole evaluation set (instead of a single query at the moment). The recent async support has been life saver.
15.
by thatsadude 2y ago
I’m disappointed. Nobel price for neural network architects that failed the test of time..
16.
by thatsadude 2y ago
Well more deserving than the author of Restricted Boltzmann machine.
17.
by thatsadude 2y ago
True, that's a yellow flag for me.
18.
by thatsadude 2y ago
I had a few problems with DSPy: * Multi-hop reasoning rarely works with real data in my case. * Impossible to define advanced metrics over the whole dataset. * No async support
19.
by thatsadude 2y ago
That plastic dish (parabolic reflector) is not cheap.
20.
by thatsadude 2y ago
Recent ASR models are already robust to noise due to Spec augment and large-scale data. If you use these noise reduction services to remove noise, ASR models will have harder time to recognize denoised audio. The reason is that noise reduct
21.
by thatsadude 2y ago
20 years from now, the future generation will laugh at how delusional some tech guys think that "text generation could be and end to humanity".
22.
by thatsadude 3y ago
You can buy a USB microphone array and create one yourself. - https://pysdr.org/content/doa.html - https://www.minidsp.com/products/usb-audio-interface/uma-16-...
23.
by thatsadude 3y ago
Based on credits in Gpt3 and 4 papers, I think the team that follows Sam and Greg are the main drivers of the tech. Ilya is an advisor more or less.
24.
by thatsadude 3y ago
Go read the gpt3 and gpt3 tech report and see for yourself.
25.
by thatsadude 3y ago
What motivates Sam to join Microsoft? Could it be the proximity of achieving AGI and his desire to remain competitive without starting from scratch?
26.
by thatsadude 3y ago
This is ridiculous. AI doomer as the new CEO.
27.
by thatsadude 3y ago
Microsoft would be horrified.
28.
by thatsadude 3y ago
Could be a coup or that Sam colluded with M$
29.
by thatsadude 3y ago
vec(ABC)=kron(C.T,A)vec(C) is all your need for matrix calculus!
30.
by thatsadude 3y ago
I'm concerned about who AGI will serve? Rich people surely!

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