#Amethyst v0.86.3: New Markdown Parser
Features:
- Migrates to the new, faster Markdown Parser
- Adds Note previews on Markdown
- Adds Custom hashtag icons to Markdown
- Adds URL preview boxes to Markdown
Bug Fixes:
- Fixes Missing notifications
- Fixes clickable route not showing the user's npub before loading their name
- Fixes max width of hidden notes making them off-centered
- Moves parsing and saving an embed event to the IO thread
- Improves the secondary button design of the encrypted nsec backup page
Download:
- [Play Edition](https://github.com/vitorpamplona/amethyst/releases/download/v0.86.3/amethyst-googleplay-universal-v0.86.3.apk )
- [FOSS Edition - No translations](https://github.com/vitorpamplona/amethyst/releases/download/v0.86.3/amethyst-fdroid-universal-v0.86.3.apk )
#coracle #primal #snort #iris
hows markdown implementation going???
#ui #ux
When new user enters the app:
Select your nostr experience:
[curated] filter spam and low quality content, add some accounts to follows.
[RAW] show everything. Do not add anyone to follows.
Conclusion: 7b models are almost as good as 700b models, If 7b models IS well connected to data sources (eg. internet).
Neither can produce super human intelligence, because the way nns work, is compression rather than inventing new solutions.
Therefore well connected agents with excellent outside of the system information retrieval ability and fast outside of the system data transfer speed can produce excellent results, but still, whatever is the size of the nn, it cannot exceed the intelligence of collective system, which equals to the intelligence of all information available with reasonable transfer speed.