matusp

13 ms·

181.
by matusp 1y ago
Especially true in today's hiring environment. They probably have hundreds of qualified people lined up for that position. One company recently reached out to me asking me to submit a CV, considering me a good fit for their position. I
182.
by matusp 1y ago
There is startup activity in the US because there is enough capital to fund it. Getting funding for a startup even in pretty rich countries in EU is more difficult by an order of magnitude.
183.
by matusp 1y ago
What a profound observation!
184.
by matusp 1y ago
I think it's about health concerns
185.
by matusp 1y ago
True. Also paradoxically, managers are the most likely to have negative value for the company, running entire departments or projects into the ground. Yet you rarely see this being reflected.
186.
by matusp 1y ago
I don't follow him very closely. Was he important for these projects?
187.
by matusp 1y ago
What about him?
188.
by matusp 1y ago
The problem with this approach for me is that I don't know which variables are important outside of this snippet or outside of the next line. Is input_groups something I should keep in my head or is it just an intermediate result that
189.
by matusp 1y ago
I think the unspoken claim here is that the North American scientific establishment takes credit from other sources and elevates certain personas instead of the true innovators who are overlooked. Arguing that the establishment doesn't
190.
by matusp 1y ago
This was an era where language modeling was only considered as a pretraining step. You were then supposed to fine tune it further to get a classifier or similar type of specialized model.
191.
by matusp 1y ago
I think it's actually a selection bias. Who is more likely to spend a lot of time on productivity systems -- a person who is on top of their obligations or a person who is drowning in them. A naturally organized person can do with simp
192.
by matusp 1y ago
In general, you are right, but AI as a field is pretty volatile still. Token producers are still pivoting and are generally losing money. They will have to change their strategy sooner or later, and there is a good chance that the users wil
193.
by matusp 1y ago
Despite the fact that their models are used in hiring, business, education, etc this multibillion company uses one benchmark with very artificial questions (BBQ) to evaluate how fair their model is. I am a little bit disappointed.
194.
by matusp 1y ago
There are tons of highly technical papers being published about this topic. Yeah, there are some people without tech knowledge working on this as well, but I would expect them to be a minority, although they are probably very visible.
195.
by matusp 1y ago
The cracks in the education system were showing even before AI, with unmotivated students and teachers alike just burning their hours. AI just exposed these cracks and showed that the entire system is incredibly inefficient and pointless. I
196.
by matusp 1y ago
China is building incredible 200x times more ships annually compared to the US. You can imagine what the military implications are.
197.
by matusp 1y ago
Doing AI just because everybody else is doing AI is not exactly a strategic vision. Going into AI without a clear plan is exactly what they should NOT be doing.
198.
by matusp 1y ago
Yeah, but the juiciest tasks are still far from solved. The amount of tasks where people are willing to accept low accuracy answers is not that high. It is maybe true for some text processing pipelines, but all the user facing use cases req
199.
by matusp 1y ago
Considering their budget, their research is a bit underwhelming. At this point, anybody is able to match their models. No technology moat whatsoever despite infinite money glitch.
200.
by matusp 1y ago
You can implement a singleton class that works properly quite easily. The advantage is that most people are familiar with singleton as a pattern, and it is a self contained chunk of code. The cache solution you provided works, but its funct
201.
by matusp 1y ago
I started doing NLP in 2014. First, I was using SVM and feature vectors, then word embeddings, then handcrafted neural network models, then fine-tuning transformer encoders, then working with LLMs. In that time I worked with huge number of
202.
by matusp 1y ago
Have you actually read the link you posted? There is like dozen different ways Arab population is discriminated described there.
203.
by matusp 1y ago
This is true for every subfield I have been working on for the past 10 years. The dirty secret of ML research is that Sturgeon's law apply to datasets as well - 90% of data out there is crap. I have seen NLP datasets with hundreds of c
204.
by matusp 1y ago
I also wonder why we do not expect radio towers, television channels, book publishers etc to make sure that their content will not be consumed by the most vulnerable population. It's almost as if we do not expect companies to baby-proo
205.
by matusp 1y ago
Totally agree. Editors were used by publishers for a reason, and they very often managed to cut down texts by significant amounts. Most bloggers could use an editor that would make their writing more snappy. The same goes for many of the no
206.
by matusp 1y ago
It's human toll everywhere. AI used for peer review effectively forces researchers to implement suggestions between revisions, AI used by managers suggest bad solutions that engineers are forced to implement, etc. Effectively, the numb
207.
by matusp 1y ago
Even in Ukraine there are many cases when the official Western position has changed over the time or is obviously not correct. For example, due to political reasons, Germany still cannot admit that it was Ukrainians who destroyed Nord Strea
208.
by matusp 1y ago
It is impossible to solve this problem because we cannot really agree what the desired behavior should be. People live in different and dynamic truths. What we consider enemy propaganda today might be an official statement tomorrow. The onl
209.
by matusp 1y ago
I strongly believe that this will be a really important technique in the near future. The cost saving this might create is mouth watering.
210.
by matusp 1y ago
Yes, it is indeed to mitigate bad press. Unfortunately, the discussion about AI is so ridiculous, that it is often considered newsworthy when a product generates something funky for a person with large enough Twitter audience. Nobody wants

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