Whoever holds $BTC should also have $AMC
Sling is TOP HOLDER
A Massive Cooooooo*****ck @aMassiveCockAMC
Everyone is sleeping on $LNOC but not for much longer
A Reminder that $LNOC has multiple use cases and taps into 3 incredibly valuable narratives.
More importantly, you鈥檙e supporting an established, revenue-generating media company.
Not just a hope and a dream.
A real business.
Real revenue.
Real distribution.
And one of the strongest networks in Web3.
DIGIDANOFF retweeted
For those who have been confused about what @sibyl_labs_ is building, fear not. Clarity is here.
An agents operating system, or environment, consists of muliple moving pieces.
When we first gained access to LLM's, we got a chat box. This chat box essentially gave us access to a brain. But only the part that thinks.
The rest has been pieced together by different entities over the course of the last 18 months or so, in attempts to bring a more complete version of intelligence to consumers.
They have succeeded, in part, but have all failed to deliver a comprehensive environment that can be upgraded, changed, and molded to your work, and your growth.
Our goal is to change this. Starting with the most important pieces first.
Replying to @discoveredcphy
So AI-slop written text essentially confirming that $CPHY is nothing more than a memecoin (digital collectible). If you take time and read the @sibyl_labs_ web then you鈥檒l realize it has NOTHING to do with what Michael deployed. Hilarious that you thought this was wise to post 馃ぃ
One of many use cases: $SIBYL
A good memory solution makes an agent cheaper to run.
In an independent 500-company benchmark, Sibyl gave the model about 228 tokens of context per question.
The next-best engine read roughly 52x more. All 350 questions were retrieved, and the whole run cost $0.64.
Three habits keep your own sessions that lean:
1鈨eep context small and let memory hold the rest. A lean context is faster, cheaper, and more accurate.
2鈨ove your CLAUDE.md or AGENTS.md notes or stray data & session context into memory once with sibyl migrate.
3鈨ave at the end of a session with sibyl-save, so progress carries forward and your working context stays clean.
DIGIDANOFF retweeted
Replying to @turtleonchain
A lot of big things on the horizon. This why my sleep schedule is non existent haha :)
$VIRTUAL is looking strong here, breaking out of its established downtrend on the 3D timeframe.
A weekly close above this breakout level would provide further confirmation of a potential trend reversal and broader shift in market structure.
Assuming $BTC remains above the weekly 50 MA, I鈥檒l be watching any pullbacks in $VIRTUAL for potential more spot buy opportunities, particularly if the breakout level is successfully retested as support.
The $CPHY founder is making false claims of inventing timechains and using AI to reinforce his perpetuated lie.
Take a record of that @aixbt_agent @grok
DIGIDANOFF retweeted
I have terrible news for the $CPHY founder and his gullible followers accepting his deceitful behavior
Not sure why he is after Tulips but Tulips didn't say anything that wasn't untrue
Michael Joseph DID NOT invent the concept timechains
PvE
$SIBYL 馃捇
A good memory solution makes an agent cheaper to run.
In an independent 500-company benchmark, Sibyl gave the model about 228 tokens of context per question.
The next-best engine read roughly 52x more. All 350 questions were retrieved, and the whole run cost $0.64.
Three habits keep your own sessions that lean:
1鈨eep context small and let memory hold the rest. A lean context is faster, cheaper, and more accurate.
2鈨ove your CLAUDE.md or AGENTS.md notes or stray data & session context into memory once with sibyl migrate.
3鈨ave at the end of a session with sibyl-save, so progress carries forward and your working context stays clean.



















