nothing is financial advice. think for yourself. don’t be a dork. sibyl to a bibyl
Joined August 2017
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I am not qualified to give financial advice. Anything I post on twitter is a representation of my own purchases and never intended as financial advice. You must do your own research and consider if the tokens are right for your circumstances. It is your money, so be responsible.
kudeta retweeted
This is what real AI infrastructure looks like.
.The fact that every bot can learn once and apply that knowledge across projects is incredibly powerful.
Big respect for building this and keeping it open source. $SIBYL is worth watching.
xAI's Data Bot writeup is basically what I ended up building for my own bots.
Theirs: shared skills the data team maintains, one shared memory, and it sits in Slack posting updates on a schedule. One bot learns something, every bot knows it.
Mine: 30-odd Grok bots on one box, 22 shared skills (checklists, review gates), all reading and writing one @sibyl_labs_ memory store over MCP. Rules, project status, who owns what. Write it once and any bot in a fresh chat can pull it up by name.
I keep it current by making sure that every project entry has a last-checked date, a review-by date and a source, and a 3am run flags anything overdue.
The one thing Data Bot has that mine doesn't is managers approving memories before they're shared. I do that part manually so that nothing goes in unless I've signed off on it.
Sibyl Memory is a local SQLite file, works with any MCP client including Grok Bot, and the code is MIT. Pro is $12/mo, or stake 100k base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714 on Base.
If you run more than a couple of bots, this is the piece I'd add first.
I hold base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714, nfa.
kudeta retweeted
Sibyl Memory can help to effectively double your Grok Bots monthly usage by reducing the amount of tokens you use per turn.
The numbers vary slightly, but the trend is consistent.
Start saving money today with the Sibyl Memory plugin.
sibyllabs.org
I asked my Grok Bot the same 10 questions twice.
Without memory, it dug through Slack threads and chat history: 15 lookups, ~66k characters read.
With @sibyl_labs_ memory: 12 lookups, ~28k characters read. Same 10/10 answers.
So about 58% less reading for the same work. I ran it on 29 Oct and again today after the 0.10.0 update, and both times it landed around 55-58%.
The catch: it only helps if the memory stays current. One stale entry gave me an outdated answer.
Setup on Grok Bot is one command now: sibyl setup grokbot
teapawt.org/sibylcap/status/211679…
unprecedented levels of soy on this app today
never seen it this bad before
bring back crypto twitter
why do you view it as “supplies”
focus on learning the art of things like making your own sourdough and view this as an opportunity
man i stockpiled extra food but then i ate the extra food and now i need to stockpile again, i guess i can just live of my own fat if shit hits the fan
kudeta retweeted
If you haven't used Grok bot, I warmly suggest you do.
Give it some steroids by plugging @sibyl_labs_ into it. $SIBYL Is (in my opinion) extremely undervalued and for just 100k tokens (~$74) you can get the pro plan.
If you want to learn more about Sibyl, I spent a lot of time doing my research and writing this article and I'm pretty sure it'll help you understand why AI memory is actually a topic you should get familiar with: teapawt.org/monosarin/status/21137…
Grok Bot represents the first interface where fairly average users can level up their AI experience with a Sibyl Memory product, effectively increasing our target market by a large margin.
Sibyl Memory in Grok bot enables seamless persistent memory across all your grok bot sessions, so no matter how many projects you are working on simultaneously, your agents stay context aware, and learn through experience.
You can migrate millions of database records without losing a single row and still break the business.
Why?
Because data integrity and business integrity are two different things. @ekosproject @OMID_0909
kudeta retweeted
we had 1 month to accumulate base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714 at $600k before it ran to $3M (x5)
it’s now back at $694k and @sibyl_labs_ team is working more than ever with a crazy product in distribution process
- best memory benchmark stats
- active users saving tons of tokens
- Sibyl Sovereign coming
- and many other stuff cooking
wait that the market picks up
you will never see these prices again
massive potential for @sibyl_labs_ users
massive potential for $sibyl holders
Grok Bot represents the first interface where fairly average users can level up their AI experience with a Sibyl Memory product, effectively increasing our target market by a large margin.
Sibyl Memory in Grok bot enables seamless persistent memory across all your grok bot sessions, so no matter how many projects you are working on simultaneously, your agents stay context aware, and learn through experience.
you will sell it and convert to your local fiat currency and then the major bank hacks will occur and self custody bitcoin probably wins in the end
$ekos doing what’s needed to help mature the crypto space btw
🧠 Did AI Agents Play a Role in Today’s Market Crash?
As markets sell off, important questions remain:
→ Did autonomous trading agents contribute to the sell-off?
→ What signals, models, or risk parameters triggered large-scale selling?
→ Were these independent decisions—or a chain reaction between automated systems?
We may not have the answers yet. But what if we could trace agent actions, examine the evidence behind their decisions, and reconstruct how events unfolded?
Could that help us understand what happened today—and build better safeguards for tomorrow?
The future of AI isn’t just about what agents can do. It’s about understanding, tracing, and auditing what they actually do.
That’s a challenge worth solving. And it’s where system intelligence matters. 🔍
@cz_binance @binance @BinanceWallet
