Offshore
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Moon Dev
instead of getting liquidated
my bots do the liquidating
cant believe i show this on stream https://t.co/UkKcBFPoGA
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instead of getting liquidated
my bots do the liquidating
cant believe i show this on stream https://t.co/UkKcBFPoGA
tweet
Offshore
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Benjamin Hernandez๐
The "Hyper-Growth" Recommendation
Recommendation: $SITM ~$413.14
Post-acquisition, SiTime will serve all top ten cloud hyperscalers. This is no longer a small-cap experiment.
One-line why: Catching the 800V server transition early is the key to 2026 semiconductor alpha. https://t.co/VuBzUA7Oh6
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The "Hyper-Growth" Recommendation
Recommendation: $SITM ~$413.14
Post-acquisition, SiTime will serve all top ten cloud hyperscalers. This is no longer a small-cap experiment.
One-line why: Catching the 800V server transition early is the key to 2026 semiconductor alpha. https://t.co/VuBzUA7Oh6
tweet
Offshore
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Fiscal.ai
Hershey has increased its prices by ~5% a year since 2019.
Why wouldn't this continue?
$HSY https://t.co/Op17AZ6Kre
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Hershey has increased its prices by ~5% a year since 2019.
Why wouldn't this continue?
$HSY https://t.co/Op17AZ6Kre
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Offshore
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DAIR.AI
RT @omarsar0: Increasingly, I think the most important thing about papers like this Gemini science collaboration study isn't the results themselves.
It's how researchers actually worked with the model, iterating, correcting, and guiding it through tough problems. We still don't have good norms for reporting this kind of collaboration, and I think that matters more than people realize.
This work documents how researchers prompted the model, how many back-and-forth rounds it took, and what happens when the model gets stuck, and they have to decompose the problem differently. It's all new territory.
If these collaboration techniques become standard practice (iterative refinement, using AI to stress-test your own reasoning, and having it generate counterexamples), then the gap between labs that train researchers in AI collaboration and those that don't will compound fast.
Nonetheless, this is a fascinating read. Highly recommend it to everyone.
tweet
RT @omarsar0: Increasingly, I think the most important thing about papers like this Gemini science collaboration study isn't the results themselves.
It's how researchers actually worked with the model, iterating, correcting, and guiding it through tough problems. We still don't have good norms for reporting this kind of collaboration, and I think that matters more than people realize.
This work documents how researchers prompted the model, how many back-and-forth rounds it took, and what happens when the model gets stuck, and they have to decompose the problem differently. It's all new territory.
If these collaboration techniques become standard practice (iterative refinement, using AI to stress-test your own reasoning, and having it generate counterexamples), then the gap between labs that train researchers in AI collaboration and those that don't will compound fast.
Nonetheless, this is a fascinating read. Highly recommend it to everyone.
tweet
Offshore
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Moon Dev
there is no other trader in the world that has this liquidation data
and i dropped it to the zoom chat
not only am i competing to make all other traders and quant homeless
im giving my team access to everything i have and know
private zooms only https://t.co/gto4BiWbCk
tweet
there is no other trader in the world that has this liquidation data
and i dropped it to the zoom chat
not only am i competing to make all other traders and quant homeless
im giving my team access to everything i have and know
private zooms only https://t.co/gto4BiWbCk
tweet
Offshore
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Brady Long
Serious question:
Why are we still chatting with AI instead of managing it?
The real shift is becoming the manager of an AI army that executes complex work for you.
That future is closer than people think.
Secure your spot on the waitlist โ
@Spine_AI #SpineAI #SwarmIntelligence
https://t.co/ZyoR9MavSy
tweet
Serious question:
Why are we still chatting with AI instead of managing it?
The real shift is becoming the manager of an AI army that executes complex work for you.
That future is closer than people think.
Secure your spot on the waitlist โ
@Spine_AI #SpineAI #SwarmIntelligence
https://t.co/ZyoR9MavSy
tweet
Javier Blas
Glencore and Rio Tinto have now tried to merge five times -- starting with a first attempt in 2008. All of them have failed on valuation.
My understanding is this time the valuation gap was in the $10 billion rage (with Glencore demanding a higher premium to cede control).
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Glencore and Rio Tinto have now tried to merge five times -- starting with a first attempt in 2008. All of them have failed on valuation.
My understanding is this time the valuation gap was in the $10 billion rage (with Glencore demanding a higher premium to cede control).
BREAKING: Glencore and Rio Tinto end merger talks. - Javier Blastweet
X (formerly Twitter)
Javier Blas (@JavierBlas) on X
BREAKING: Glencore and Rio Tinto end merger talks.
Offshore
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Dimitry Nakhla | Babylon Capitalยฎ
RT @DimitryNakhla: 56% incremental operating margins on 48% YoY growth for Google Cloud โ๏ธ โ and the first quarter Cloud operating margins reached 30%.
$GOOG $GOOGL https://t.co/Hge7j1Z9E3
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RT @DimitryNakhla: 56% incremental operating margins on 48% YoY growth for Google Cloud โ๏ธ โ and the first quarter Cloud operating margins reached 30%.
$GOOG $GOOGL https://t.co/Hge7j1Z9E3
Chris Hohn, founder of TCI, views high incremental margins as one of the strongest signals of a companyโs moat & pricing power๐ธ
Incremental operating margin tells you how much additional operating income a business generates for every additional $1 of revenue.
Hereโs how to calculate it:
Pick two periods (Year 1 โ Year 2)
Year 1 Revenue: $10B
Year 2 Revenue: $12B
ฮ ๐๐ก๐๐ง๐ ๐: $๐๐
Year 1 Operating Income: $2B
Year 2 Operating Income: $3B
ฮ ๐๐ก๐๐ง๐ ๐: $๐๐
๐๐ง๐๐ซ๐๐ฆ๐๐ง๐ญ๐๐ฅ ๐๐ฉ๐๐ซ๐๐ญ๐ข๐ง๐ ๐๐๐ซ๐ ๐ข๐ง = ฮ ๐๐ฉ๐๐ซ๐๐ญ๐ข๐ง๐ ๐๐ง๐๐จ๐ฆ๐ / ฮ ๐๐๐ฏ๐๐ง๐ฎ๐
So: $1B / $2B = 50%
๐๐ฆ๐ข๐ฏ๐ช๐ฏ๐จ: 50 cents of every new $1 of revenue fell to operating profit.
___
Why this matters: High incremental margins usually signal low incremental costs, pricing power, & structural operating leverage โ the traits that allow a great business to compound faster as it scales. Itโs one of the cleanest ways to see whether a companyโs moat is strengthening & efficiently scaling.
Iโve included 4 high-quality stocks with their incremental operating margins since 2021 for further example ๐๐ฝ
$FICO $MSFT $MA $NFLX - Dimitry Nakhla | Babylon Capitalยฎtweet