Row 3471
Content Data
This page contains data entry 3471 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Hi. I have developed an AI chat bot which is privacy focused and runs as a single chat window. It uses context management to implement long term and short term memory.
The project is available here: [https://github.com/taylorgoolsby/cobalt](https://github.com/taylorgoolsby/cobalt)
I have a video here demoing the MVP of this project: [https://www.youtube.com/watch?v=SBA2dH04570](https://www.youtube.com/watch?v=SBA2dH04570)
My goals here are to make it so that using AI is safe regarding privacy. If everyone is talking to AI and it is collecting a lot of data in order to provide better service, I think it would be best if the data was kept private and not consolidated into proprietary systems and data mined or leaked.
If you agree with this goal, I could use your support. Follow me here ([https://bento.me/taylorgoolsby](https://bento.me/taylorgoolsby)) and try it out, and let me know what you think.
Also, this project is open source and I think it would be cool to see others using the code as a base for their own AI chatbot projects needing context management.
| Field | Value |
|---|---|
| text | Hi. I have developed an AI chat bot which is privacy focused and runs as a single chat window. It uses context management to implement long term and short term memory. The project is available here: [https://github.com/taylorgoolsby/cobalt](https://github.com/taylorgoolsby/cobalt) I have a video here demoing the MVP of this project: [https://www.youtube.com/watch?v=SBA2dH04570](https://www.youtube.com/watch?v=SBA2dH04570) My goals here are to make it so that using AI is safe regarding pri… |
| label | r/opensourceai |
| dataType | post |
| communityName | r/OpenSourceAI |
| datetime | 2024-03-09 |
| username_encoded | Z0FBQUFBQm5LakwxS1ZpNEhDUmUxTGJ1clZ0ckk5N3JId3FUU1YxQV9ic0ZtMV9FcWwydUZNMTJQbUR4VGVjWGh3M3BoOVBLSkdrdG5idWJEZERqaFUxVDZpdEg3THBsWFE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9FbU5VWWVYcDdfVWltdjdWMjNoVERTRFZQendZZEQ4TWlWTnVYOGRobXQzZHl3bFNmZ2FUSGZqUUxWa1YwVXhUUWRLV3dvaERIR19vZWpwcXRyQWI1bTY4R0paVy1WQUlEQjFlVXl3Y1Qxc1NMTkN2VGY0TDVKX0ZCcUVQM3E1dWFta2o4NHA4MW9GdlFjaVBmQWs3V3prblR5RHE3VG1lUjZsX0FjbkhGc3FlTFV6NVk4SE9LdlVzRUVYejlhczYt |
Raw Record
{
"text": "Hi. I have developed an AI chat bot which is privacy focused and runs as a single chat window. It uses context management to implement long term and short term memory.\n\nThe project is available here: [https://github.com/taylorgoolsby/cobalt](https://github.com/taylorgoolsby/cobalt)\n\nI have a video here demoing the MVP of this project: [https://www.youtube.com/watch?v=SBA2dH04570](https://www.youtube.com/watch?v=SBA2dH04570)\n\nMy goals here are to make it so that using AI is safe regarding privacy. If everyone is talking to AI and it is collecting a lot of data in order to provide better service, I think it would be best if the data was kept private and not consolidated into proprietary systems and data mined or leaked.\n\nIf you agree with this goal, I could use your support. Follow me here ([https://bento.me/taylorgoolsby](https://bento.me/taylorgoolsby)) and try it out, and let me know what you think.\n\nAlso, this project is open source and I think it would be cool to see others using the code as a base for their own AI chatbot projects needing context management.",
"label": "r/opensourceai",
"dataType": "post",
"communityName": "r/OpenSourceAI",
"datetime": "2024-03-09",
"username_encoded": "Z0FBQUFBQm5LakwxS1ZpNEhDUmUxTGJ1clZ0ckk5N3JId3FUU1YxQV9ic0ZtMV9FcWwydUZNMTJQbUR4VGVjWGh3M3BoOVBLSkdrdG5idWJEZERqaFUxVDZpdEg3THBsWFE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9FbU5VWWVYcDdfVWltdjdWMjNoVERTRFZQendZZEQ4TWlWTnVYOGRobXQzZHl3bFNmZ2FUSGZqUUxWa1YwVXhUUWRLV3dvaERIR19vZWpwcXRyQWI1bTY4R0paVy1WQUlEQjFlVXl3Y1Qxc1NMTkN2VGY0TDVKX0ZCcUVQM3E1dWFta2o4NHA4MW9GdlFjaVBmQWs3V3prblR5RHE3VG1lUjZsX0FjbkhGc3FlTFV6NVk4SE9LdlVzRUVYejlhczYt"
}
Entry Information
- Entry ID: 3471
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000