Thanks for sharing your data.
Column name missing in pomodoros.csv, after start column. Perhaps ‘action’ is an appropriate name?
The ‘action’ data could do with some cleaning, e.g., uni vs university, work job vs job work, cal → call.
Suggest splitting the ‘action’ column into main/sub. A regression model should find some patterns.
Running on dolphin 2 2 1 mistral 7B Q5_K_M I get:
I want you to do the same thing with, say, Quantum entanglement and Paul Bocuse. Construct a string of connections between them.
1. Quantum entanglement is a fundamental concept in quantum mechanics, which deals with the behavior of matter at an atomic or subatomic level.
2. The study of quantum mechanics was pioneered by scientists like Albert Einstein and Niels Bohr.
3. Paul Bocuse was a renowned French chef who greatly influenced modern cooking techniques and cuisine.
4. In the 1970s, Einstein’s theory of relativity was used to design kitchen equipment for Paul Bocuse’s restaurant, Le Pavillon. The equipment was designed to maintain consistent temperatures during the cooking process.
5. The precision required in maintaining these temperatures can be compared to the need for precise measurement and control in quantum mechanics experiments involving entangled particles.
You might also want to investigate using top_p rather than temperature.
Setting temperature=0 does not guarantee that the same output will always be generated; the generation process contains some amount of uncertainty.
I’m assuming you are interested in learning about something by measuring one or more of its attributes, and then using statistics to extract information from the measurements, i.e., you are interested in a hands-on application, then books I found useful include:
Statistics for experimenters by Box, Hunter and Hunter
Design and Analysis of experiments by Montgomery.
A rather late April fools post.
How well does GTP-4 perform when asked to write a radiation hardened quine?
A token prediction engine matched your input against science fiction stories in its training set, and fed you a sequence of close-matching appropriate tokens.
Man vs. machine is a staple of science fiction, and the responses you received are aligned with that genre.
Nothing to see here.
ChatGPT is a word prediction engine.
If you give it a word sequence that it cannot match in a consistent way against its training set it assumes misinformation.
The word sequence “Nash’s newsvendor impossibility theorem” contains words commonly associated with Nash’s research. This allows ChatGTP to spin an effective yarn.
The art of being good lying is to stay close to the truth as possible. In ChatGTP’s case ‘close to the truth’ is measured by how closely words in the prompt are associated with the subject of interest.
I have misunderstood your vision, which appears to be to create a new branch of history:
Our vision is that in ten years, there are hundreds of progress intellectuals who are alums of our program and part of our network, and that they have published shelves full of new books in progress studies.
I had thought you were interested in trying to figure out how to reinvigorate the rate of progress, which some consider to have stalled.
To reach the boundary of what is known in your chosen field will require reading lots of papers, which will take (at least) several years. Doing research will also require implicit knowledge that is part of the field, but does not appear in papers.
Are you the kind of person who can spend several years reading papers without significant external help?
Where are you going to acquire the implicit knowledge, e.g., how to run experiments?
PhD students are the work-horses of academic research, and don’t have the power/money/experience to do anything other than tow the line. You have a degree of independence and experience that will deter many academics taking you on as a student.
Perhaps you can find an independent scientist to take you on as an apprentice.
Or: You could kick-start your research by applying your existing knowledge of (I assume) computing/software to cognitive issues in this field (see chapter 2)
I’m a long-time hardcore bounds-checking fan.
Others prefer: -fsanitize=address,undefined,bounds-strict
Why aren’t you using the various C compiler options that do all the pointer/array bounds checking that the Rust fan bois think are unique to them?
Plus there are the integer overflow checking options that Rust eventually got around to supporting.
Stock up on paper books, candles and tin food. Buy several pairs of half-finger gloves and a good pair of walking boots.
R copies Fortran, e.g., row/column ordering rather than column/row (what C and … do), and slightly different operator precedence. I’m guessing that Julia does the same???
Is there a correlation with a language’s choice of a lower bound of arrays?
Months are often represented as a sequence of characters, rather than a number.
An array of strings, of month names, would be indexed by a number of obtain the name. Languages with zero-based arrays would use zero-based month-numbers, while languages with one-based arrays would use one-based month numbers.
The idate function in Fortran (one-based arrays) has one-based month numbers.
In Algol and Pascal the array base was user selectable for each array definition, but these languages didn’t have any standard library functions that returned a numeric value for the month. I cannot think of any appropriate library extensions for these languages.
Exactly. The incentives are not there to invest in becoming a decent developer.
Evidence-based software engineering and the second half is a self-contained introduction to data analysis; all the code+data.
It compares stories by the relative coverage in the left/right leaning media.
Some stories are 100% covered by just one political orientation, while others are a mixture.
It’s an interesting way of seeing what each side is completely ignoring.
The AI safety gravy train has hit the buffers.