375 karma · joined November 28, 2015
Location: Spain
Remote: Yes
Willing to relocate: No
Technologies: AI, software engineering, healthcare, maps, supply chain, engineering, leadership, foundation models
Résumé/CV: https://github.com/keskival/cv/raw/master/docs/cv_eng.pdf
Email: tero.keskivalkama@gmail.com
LinkedIn: https://www.linkedin.com/in/terokeskivalkama
Google Scholar: https://scholar.google.com/citations?hl=en&user=l7qMBpkAAAAJ
I have programmed computers since I was 6 years old in 1988. I have over 25 years of professional experience in different roles in the trifecta of AI research/software engineering/leadership.I was one of the people growing the deep learning revolution in Finland organizing Cybercom Machine Learning Guild and later AI Morning, and created one of the first open source implementations for Google Wavenet. I have won two IndustryHack competitions. I have authored quite a lot of patents in deep learning.
Most recently I have worked to teach cancer biology to machine intelligences to exceed human level in oncology.
I am open to all kinds of senior and leadership positions which benefit from a generalist.
Location: Spain
Remote: Yes
Willing to relocate: No
Technologies: AI, software engineering, healthcare, maps, supply chain, engineering, leadership
Résumé/CV: https://github.com/keskival/cv/raw/master/docs/cv_eng.pdf
Email: tero.keskivalkama@gmail.com
LinkedIn: https://www.linkedin.com/in/terokeskivalkama
Google Scholar: https://scholar.google.com/citations?hl=en&user=l7qMBpkAAAAJ
I have programmed computers since I was 6 years old in 1988. I have over 25 years of professional experience in different roles in the trifecta of AI research/software engineering/leadership.I was one of the people growing the deep learning revolution in Finland organizing Cybercom Machine Learning Guild and later AI Morning, and created one of the first open source implementations for Google Wavenet. I have won two IndustryHack competitions. I have authored quite a lot of patents in deep learning.
Most recently I have worked to teach cancer biology to machine intelligences to exceed human level in oncology.
I am open to all kinds of senior and leadership positions which benefit from a generalist.
This wasn't profitable enough though so they changed to the Tinder-style swiping which doesn't work. More engagement interactions means more opportunity to show ads. If you find people good matches they will just leave the app.
The overall goal isn't to get wealthy, but for the wealthy to get the foot in the doorway to gain influence in the core of the automated economic military industrial scientific system that is going to replace money-based economics.
It is about autonomous robot armies.
"A simple poka-yoke example is demonstrated when a driver of the car equipped with a manual gearbox must press on the clutch pedal (a process step, therefore a poka-yoke) prior to starting an automobile."
You would typically put the car to a neutral gear before starting up the car, clutch isn't required.
Furthermore, if there was such a poka-yoke preventing start-up when the clutch isn't pressed, it would prevent the common safety procedure when a car doesn't start and is in a dangerous position, for example on rails or in the motorway. In such situations you would drive the car with the starter engine alone, putting the first gear on, release the clutch, and start the car, thus moving it forward slowly by the battery and the starter engine.
Will Microsoft automatically authenticate malicious actors, or block yourself from services built with assumptions that the email client won't auto-click everything?
Days, as the author points out, are though of with "flooring", but more accurately it could be said that a date is thought of as a range between the times belonging to the date.
Minutes one can consider as ranges or time indices. There the error comes, in switching the interpretation of a start of a duration to an actual estimate of a point of time index.
I would guess GPT-4o isn't first pre-trained and then instruct-tuned, but trained directly with refined instruction-following material.
This material probably contains way fewer chess games.
https://www.theguardian.com/world/2024/nov/18/telecoms-cable...
The purpose of capital is to make progress from where we are now.
Similarly, with their extension repo which they forked from Continue, they now have two LICENSE files, one from Continue, one from PearAI, both Apache. This could be argued to be almost correct, but it would be clearer if they did it correctly and had one LICENSE file there with both copyright clauses from both PearAI and Continue.
Additionally they don't seem to use any contributor agreements, so people who contribute to their repos will maintain their own personal copyrights. That means that the copyright clauses on the licenses are technically invalid as the repos contain works from various individuals who have not given their permission to license their works in any way.
Disregarding the legal aspects, what they are doing is morally clearly wrong as they are crudely exploiting the works of others without contributing back to them in any way.
Edit:
It seems there's a lot of digitalized materials in UCL online archives, but I would be surprised if all documents were digitalized:
https://www.ucl.ac.uk/library/digital-collections/collection...
There is little reason to assume the CEO in fact didn't orchestrate this whole purported "scam".
However, this is typically solved by using a contributor licence agreement (CLA) where all contributors click through a form before submitting a PR where they declare that they own the copyright for the PR and they give a license for the organization to relicense the work and derivatives. Sometimes the whole copyright is transferred to the organization in these agreements.
I didn't check but according to some comments here the CLA in this case is already embedded into the AGPL license.
In principle this scheme guarantees that the original organization always has special rights over all of the open source community, as they can dual license all the derivative works.
They need to pick a license which is salty enough so that big corporations cannot use it, but have to buy a special license from the authors.
Meanwhile they can support and benefit from the open source community without bureaucracy, and get a maximal userbase to create content on the web about this stack, and have a maximal number of people who know this stack and want to use it.
AGPL is perfect for this.
Of course I would appreciate a citation, but more than that I don't like false claims of novelty to become cemented into the body of scientific knowledge.
The authors are made aware of the project at the time of revising a pre-print, so not correcting the claims is immoral.
Edit:
The word "novel" in the context of scientific publication doesn't mean "new to the authors", it means "not previously published".
More information:
https://chatgpt.com/share/bf9e0de3-e05b-426c-b682-4ffa5f600f...
A claim of proposing a novel method should be corrected in a scientific publication if shown false. Otherwise the author is knowingly adding falsehoods into the body of scientific knowledge, and their institution is allowing it.
If you know a reference to an even more prior mention of meta-judges, please let me know. I am happy to add references to the repository.
Very typically authors write "to our knowledge novel method", which is fine, but in this case the authors cannot write even that if they know the method isn't novel now.
In effect this is erasing independent practitioners as inventors of methods from the history of science, and claiming false credit.
How many times has this happened? The corporate labs are erasing independent contributors from scientific history, by falsifying it.
How many times has this happened? The corporate labs are erasing independent contributors from scientific history, by falsifying it.