"If self-awareness emerged recently, this should show up in comparative linguistics..." ... "Julian Jaynes should have fixed his date for the origin of consciousness to the origin of pronouns."
I'm giving a hands-on workshop: Data analysis for software engineers this coming Saturday, in central London+online. The material is based on my book Evidence-based Software Engineering which discusses what is known about software engineering, based on all the publicly available data pdf+code+all data freely available here: http://knosof.co.uk/ESEUR/ The workshop is...
Marginal Revolution unofficial 20th birthday party. If you're in London on the afternoon of the 20th, come along for some sparkling conversation, including barbecue+cake. Register here , to give us some idea of numbers.
"If self-awareness emerged recently, this should show up in comparative linguistics..." ... "Julian Jaynes should have fixed his date for the origin of consciousness to the origin of pronouns."
... On March 4, the opening ceremony of the 14th National Committee of the Chinese People’s Political Consultative Conference (CPPCC) was held. Zhu Songchun, a member of the CPPCC and director of the Beijing Institute for General Artificial Intelligence, suggested in a proposal that China should elevate the development of...
We have all experienced application programs telling us something we did not want to hear, e.g., poor financial status, or results of design calculations outside practical bounds. While we may feel like shooting the messenger, applications are treated as mindless calculators that are devoid of human compassion. Purveyors of applications...
This is a linkpost for https://shape-of-code.com/2022/03/13/growth-in-flops-used-to-train-ml-models/ Given the ongoing history of continually increasing compute power, what is the maximum compute power that might be available to train ML models in the coming years?
Regular readers know that I am always on the lookout for software engineering data. One search technique is to feed a 'magic' phrase into a search engine, this can locate data hiding in plain sight. This week the magic phrase: "record of pomodoros" returned pages discussing two collections of daily...
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.
I'm giving a hands-on workshop: Data analysis for software engineers this coming Saturday, in central London+online.
The material is based on my book Evidence-based Software Engineering which discusses what is known about software engineering, based on all the publicly available data pdf+code+all data freely available here: http://knosof.co.uk/ESEUR/
The workshop is a British Computer Society event, and since we are charging a minimal amount to cover lunch we cannot offer online for free (you can blame HMRC or the BCS accounting software for having to pay £2 for online).
Register: https://www.eventbrite.co.uk/e/data-analysis-for-software-engineers-tickets-896080399597
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.
Marginal Revolution unofficial 20th birthday party. If you're in London on the afternoon of the 20th, come along for some sparkling conversation, including barbecue+cake.
Register here , to give us some idea of numbers.
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.
"If self-awareness emerged recently, this should show up in comparative linguistics..."
...
"Julian Jaynes should have fixed his date for the origin of consciousness to the origin of pronouns."
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.
...
On March 4, the opening ceremony of the 14th National Committee of the Chinese People’s Political Consultative Conference (CPPCC) was held. Zhu Songchun, a member of the CPPCC and director of the Beijing Institute for General Artificial Intelligence, suggested in a proposal that China should elevate the development of AGI to the level of the “Two Bombs, One Satellite” of the contemporary era and seize the global strategic high ground of technology and industrial development.
...
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.
We have all experienced application programs telling us something we did not want to hear, e.g., poor financial status, or results of design calculations outside practical bounds. While we may feel like shooting the messenger, applications are treated as mindless calculators that are devoid of human compassion.
Purveyors of applications claiming to be capable of mimicking aspects of human intelligence should not be surprised when their products’ responses are judged by the criteria used to judge human responses.
Humans who don’t care about other people’s feelings are considered mentally unhealthy, while humans who have a desire to please others are considered mentally healthy.
If AI assistants always tell the unbiased truth, they are likely to... (read 923 more words →)
This is a linkpost for https://shape-of-code.com/2022/03/13/growth-in-flops-used-to-train-ml-models/
Given the ongoing history of continually increasing compute power, what is the maximum compute power that might be available to train ML models in the coming years?
Regular readers know that I am always on the lookout for software engineering data. One search technique is to feed a 'magic' phrase into a search engine, this can locate data hiding in plain sight. This week the magic phrase: "record of pomodoros" returned pages discussing two collections of daily Pomodoros worked, each over a year, plus several possible collections, i.e., not explicitly stated. My email requests for data have so far returned one of the collections, kindly made available by Alex Altair, and this post discusses Alex's data (I have not discussed the data with Alex, who I'm hoping won't laugh too loud at the conclusions I have reached).
Before analyzing data... (read 768 more words →)
The AI safety gravy train has hit the buffers.