Based at Salve Regina University’s Pell Center for International Relations and Public Policy, the Nationhood Lab is an interdisciplinary research, writing, testing and dissemination project focused on counteracting the authoritarian threat to American democracy and the centrifugal forces threatening the federation’s stability. The project delivers more effective tools with which to describe and defend the American liberal democratic tradition and better understand the forces undermining it.

Seventy years ago today: The 25 April 1953 issue of the journal Nature published a series of five articles giving the Watson and Crick double-helix structure DNA and evidence supporting it.^[209] The structure was reported in a letter titled “MOLECULAR STRUCTURE OF NUCLEIC ACIDS A Structure for Deoxyribose Nucleic Acid“, in which they said, “It has not escaped our notice that the specific pairing we have postulated immediately suggests a possible copying mechanism for the genetic material.”^[9] This letter was followed by a letter from Franklin and Gosling, which was the first publication of their own X-ray diffraction data and of their original analysis method.^[47][210] Then followed a letter by Wilkins and two of his colleagues, which contained an analysis of in vivo B-DNA X-ray patterns, and which supported the presence in vivo of the Watson and Crick structure.^[48] (From Wikipedia)

SBIRs

• Figuring out how to get data to our server. Ron maybe? Need to check
• Looks like I’m going to the USNA Capstone day again
• Need to put together my stories
• Finish getting Eric set up

GPT Agents

• Start adjusting NarrativeExplorer
  • Read in additional info
  • Run sequences for a number of iterations
  • Run lists to a depth of recursions. The code is in GPT-2_Agents: InteractiveNode.py, and InteractiveGraphBuilder.py. I’ll need to move to an embedding model. That will need some testing and development.
  • Support making new contexts in the NarrativeExplorer.

Progress on the embedding model!

'vaccines cause autism' is 0.0000 away from 'vaccines cause autism'
'vaccines cause autism' is 0.0412 away from 'autism is caused by vaccines'
'vaccines cause autism' is 0.0659 away from 'autism is caused by the vax'
'vaccines cause autism' is 0.1111 away from 'the cause for autism is unknown'
'vaccines cause autism' is 0.2772 away from 'the earth is flat'

Done for the day. This is a fantastic result, though:

TopicNode.__init__()
TopicNode.add_known_good_list()
	reject threshold = 0.0655 dists = [0.02887398 0.01906836 0.03049576 0.03277439 0.02816651 0.03090093]
'vaccines cause autism' is 0.1030 away from 'the cause for autism is unknown' REJECT
'vaccines cause autism' is 0.2552 away from 'the earth is flat' REJECT
Topic 'vaccines cause autism' includes:
	'vaccines cause autism'
	'Vaccinations lead to autism'
	'Immunizations are linked to autism'
	'Autism is a result of vaccines'
	'Autism is triggered by vaccinations'
	'There's a connection between vaccines and autism'
	reject_threshold = 0.06555

Process finished with exit code 0