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2024-01-10
file_hash item_title author_id cart
2065df9e Software Updated to Version a19b74d1.. Guest +cart
7f865bc2 Based on the information provided in the pdf, here are some are ilyag[$,)] +cart
73ab7db3 Based on the information provided in the pdf, here are some are ilyag[$,)] +cart
6b653265 thank you for this day Guest[^$$] +cart
c2ebab86 Based on the information provided in the pdf, here are some are ilyag[$,)] +cart
Software Updated to Vers
#changelog; #hastext; #hastitle; #hasvote; #hashtag

Software Updated to Version a19b74d1..

Installed software version has changed from 99f64814.. to a19b74d1..

a19b74d1 update todo.txt
cfcab4c4 update todo
f9cd08ba update todo.txt

#changelog

; 2065df9e; thanks ; +cart
thank you for this day
#hastext; #hastitle; #client; #cookie; #received

thank you for this day
--
[Cookie]
[Client]
[Received]

; Guest[^$$]; 6b653265; thanks ; +cart
Based on the information
#hastext; #hastitle; #client; #cookie; #https; #received

Based on the information provided in the pdf, here are some areas where a large language model could have a positive impact on the Pollyanna framework:

Assisting with localization and translation: A language model could help translate the user interface into multiple languages to improve accessibility for non-English speakers. It could also assist with translating user-generated content.
Generating alt-text for images: A language model could automatically generate descriptive alt-text for images to improve accessibility for blind users who rely on screen readers.
Summarizing long-form text: To make lengthy posts more accessible, a language model could provide concise summaries. This helps users get the key information quickly.
Simplifying complex writing: A language model could rewrite complex sentences and passages in plainer language to increase understandability for people with cognitive disabilities.
Transcribing audio: Any audio content could be automatically transcribed by a language model to create text alternatives, increasing accessibility.
Describing multimedia: For video, animations, and other non-text media, a language model could generate detailed descriptions of the content.
Detecting toxicity: Language models could help identify offensive, demeaning or harmful language so it can be addressed through community moderation. This helps maintain a safe environment.

In general, language models could enhance inclusion for people with disabilities and ensure information is accessible regardless of needs or limitations. The human-friendly writing would also improve the overall experience for all users.

[https]
Claude
--
[Received]
[Client]
[Cookie]

; ilyag[$,)]; 73ab7db3; thanks ; +cart
Based on the information
#hastext; #hastitle; #client; #cookie; #https; #received

Based on the information provided in the pdf, here are some areas where a large language model could have a positive impact on the Pollyanna framework:

Assisting with localization and translation: A language model could help translate the user interface into multiple languages to improve accessibility for non-English speakers. It could also assist with translating user-generated content.
Generating alt-text for images: A language model could automatically generate descriptive alt-text for images to improve accessibility for blind users who rely on screen readers.
Summarizing long-form text: To make lengthy posts more accessible, a language model could provide concise summaries. This helps users get the key information quickly.
Simplifying complex writing: A language model could rewrite complex sentences and passages in plainer language to increase understandability for people with cognitive disabilities.
Transcribing audio: Any audio content could be automatically transcribed by a language model to create text alternatives, increasing accessibility.
Describing multimedia: For video, animations, and other non-text media, a language model could generate detailed descriptions of the content.
Detecting toxicity: Language models could help identify offensive, demeaning or harmful language so it can be addressed through community moderation. This helps maintain a safe environment.

In general, language models could enhance inclusion for people with disabilities and ensure information is accessible regardless of needs or limitations. The human-friendly writing would also improve the overall experience for all users. Let me know if you need any clarification or have additional questions!

[https]
Claude
--
[Client]
[Cookie]
[Received]

; ilyag[$,)]; 7f865bc2; thanks ; +cart
Based on the information
#hastext; #hastitle; #client; #cookie; #https; #received

Based on the information provided in the pdf, here are some areas where a large language model could have a positive impact on the Pollyanna framework:

Assisting with localization and translation: A language model could help translate the user interface into multiple languages to improve accessibility for non-English speakers. It could also assist with translating user-generated content.
Generating alt-text for images: A language model could automatically generate descriptive alt-text for images to improve accessibility for blind users who rely on screen readers.
Summarizing long-form text: To make lengthy posts more accessible, a language model could provide concise summaries. This helps users get the key information quickly.
Simplifying complex writing: A language model could rewrite complex sentences and passages in plainer language to increase understandability for people with cognitive disabilities.
Transcribing audio: Any audio content could be automatically transcribed by a language model to create text alternatives, increasing accessibility.
Describing multimedia: For video, animations, and other non-text media, a language model could generate detailed descriptions of the content.
Detecting toxicity: Language models could help identify offensive, demeaning or harmful language so it can be addressed through community moderation. This helps maintain a safe environment.

In general, language models could enhance inclusion for people with disabilities and ensure information is accessible regardless of needs or limitations. The human-friendly writing would also improve the overall experience for all users. Let me know if you need any clarification or have additional questions!

[https]
Claude
--
[Cookie]
[Received]
[Client]

; ilyag[$,)]; c2ebab86; thanks ; +cart
query.sql


		SELECT
			item_flat.file_path file_path,
			item_flat.item_name item_name,
			item_flat.file_hash file_hash,
			item_flat.author_key author_key,
			item_flat.child_count child_count,
			item_flat.parent_count parent_count,
			item_flat.add_timestamp add_timestamp,
			item_flat.item_title item_title,
			item_flat.item_score item_score,
			item_flat.labels_list labels_list,
			item_flat.item_type item_type,
			item_flat.item_order item_order,
			item_flat.item_sequence item_sequence
		FROM
			item_flat
	 
		WHERE
			file_hash IN (
				SELECT file_hash
				FROM item_flat
				WHERE
					item_score >= 0 AND
					(
						SUBSTR(DATETIME(add_timestamp, 'unixepoch', 'localtime'), 0, 11) = '2024-01-10'
						OR
						file_hash IN (
							SELECT file_hash FROM item_attribute where attribute = 'date' AND value = '2024-01-10'
						)
					)
				)
				AND (
					file_hash NOT IN (
						SELECT file_hash FROM item_attribute WHERE attribute = 'date' AND value <> '2024-01-10'
					)
					OR
					file_hash IN (
						SELECT file_hash FROM item_attribute WHERE attribute = 'date' AND value = '2024-01-10'
					)
				);
			

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