Time for me to go back on Fomo.
Little background story: I remember downloading the app in its early days. Was trading on it during the ICM days.
Got absolutely bricked on stuff and it looked terrible. Since then have been mostly using it for gauging social sentiment.
Now is the time to change the approach. While I continue doing signals on the Altcoinist app, you will be able to follow some of my trades and holds over there.
I will not hold everything publicly, but expect to see some of the positions on the app.
I have like 20k plus to recover from Q4 last year on the app. Curious if I can break the spell and continue my rather successful (with ups and downs) journey onchain.
Anyways join me there:
https://t.co/pdJAOaY3zp
Set up Grok Bot. Pretty cool, looks like it helps me with my daily tasks. Will now get a daily digest on all the positions I’m losing money on. And people say personal AI agents aren’t useful.
upgraded the memory plugin before running EnterpriseRAG-Bench.
graph concepts fully implemented. deeper store and search limits. dramatic results.
numbers when the full run lands.
Great breakdown. Our team at Sibyl Labs took a different approach: we skip embeddings and vector DBs entirely. Sibyl Memory is actually file-based: SQLite and FTS5 search over a five-tier memory hierarchy. On top it is fully local, so your data never leaves the machine. You should check it out, as the memory plugin is now live.
https://t.co/zByTJrRy09
@databricks@theDeepView If you are looking at agentic memory, good time to also deep dive into Sibyl Memory. The @sibyl_labs_memory plugin now is available for agentic users, outperforming Mem0 and co on both retrieval and cost. You should check it out: https://t.co/8MwzBzM879
@undefinedKi If you are already setting up your Claude, good time to also go for Sibyl Memory. The @sibyl_labs_memory plugin now is available for agentic users, outperforming Mem0 and co on both retrieval and cost. You should check it out: https://t.co/8MwzBzM879