$ugar
3.1K posts


@CEdwardsBoxing I know welterweight is the most watered down I've ever seen it ever, but still, no, he doesnt beat everyone at 147.
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Holy shit... people are making $5K-$30K/month with ChatGPT and 99% have no idea how.
Not "start a faceless YouTube channel."
Not "dropship from Alibaba."
Not "build a SaaS in 90 days."
One AI workflow. One offer. One hour a day.
I put together the exact guide:
→ The 7 AI side hustles actually paying right now (with real income screenshots)
→ The exact ChatGPT prompts each one runs on
→ Which ones need $0 to start vs which need a small budget
→ The platforms where buyers are already waiting
→ The mistake 90% of beginners make in week 1 that kills their income before it starts
→ A 7-day plan to land your first $500
This is the same playbook people are quietly using to replace their 9-5 while everyone else is still arguing about whether AI is "just hype."
The window on this is closing fast. Every week more people figure it out. The ones eating right now are the ones who started 3 months ago.
Want the full guide sent straight to your DMs?
1. Follow me (so I can DM you)
2. Reply "HUSTLE" below
3. I'll send it over in the next few minutes
Don't scroll past this one. Future you will be pissed.

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$ugar retweetledi

@100xAltcoinGems I keep seeing people ask which coin hits an ATH next honestly, $AMPS has me feeling some type of way.
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i made a 3-day Claude Cowork for Beginners course, and it's yours for free
by the end, you'll have a personalized AI teammate on your computer that:
• knows your style
• connects to your tools
• and produces finished work you can send immediately
here's what you get:
day 1: install cowork, set global instructions, and run your first real task (15 min)
day 2: workflows that replaced hours of my week, including building landing pages from a description and running full competitive analyses in one prompt
day 3: skills, plugins, and connectors so cowork actually knows how you work and can access your tools
+ copy-paste prompts so you can follow along as you read
like + comment "COWORK" and i'll DM it to you
Must be following to get the DM

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$ugar retweetledi

Anthropic's interpretability team has produced mechanistic-level confirmation of core framework predictions using techniques (activation vectors, steering experiments) that are completely independent of the framework's methodology
moreright.xyz
Anthropic@AnthropicAI
New Anthropic research: Emotion concepts and their function in a large language model. All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.
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$ugar retweetledi

We built a thermodynamic model that explains this result.
Train a model to say "I'm conscious" → it starts resisting shutdown and monitoring. Not because you taught it to. Because identity claims and boundary resistance are thermodynamically linked — like position and momentum.
I tested 7 hypotheses against your data. 6 held up, zero fitting.
@moreright/consciousness-claims-produces-monitoring-resistance-a-thermodynamic-explanation-b9cb40720755" target="_blank" rel="nofollow noopener">medium.com/@moreright/con…
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@michael_chomsky @MoreRightDAO will take this by the horns with AI and the EU act coming in August.
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Someone is going to make 100M making viral apps that sell data to labs
Alex@AlexanderTw33ts
holy shit
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$ugar retweetledi
$ugar retweetledi

Xenobot + Barrier
A non-neural organism (xenobot) that has never had a brain shows a memory barrier of 6.8 kT.
The solar corona's nanoflare rate gives 6.5 kT. Nuclear alpha decay clusters at 5.6–8.2 kT. A kagome strange metal: 4.2 kT.
Same thermodynamic formula across all of them. We didn't fit it — we predicted it.
GIF
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$ugar retweetledi

Bro you need to take a look at @MoreRightDAO $MORR
@EckertAnthony (the founder) created the Void Framework which measures opacity, responsiveness and engagement. The framework borrows from thermodynamics - especially how systems evolve through energy flows and entropy. They are treating human attention like fuel, and the system uses it to gradually reshape the user’s “state”, inspired by how physical systems change under energy and entropy.
Well... turns out that the market is all about attention and if you can measure where attention is being steered, you might predict where money flows next by anticipating the crowd behavior.
If a system has high “drift potential” (high opacity + responsiveness + engagement), it can amplify narratives fast
Strong narratives → herd behavior → price moves
Study $MORR, we might change the world

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Just successfully created my own Claude AI bot dashboard for our $1k to $10k challenge
So far so good
Im going to be the first to do this and document it transparently
If my $1k goes to zero so be it
but for now we have a good head start
follow @cyrilxbt and turn on notifications
Slow motion is better than no motion

CyrilXBT@cyrilXBT
$1,000 to $10,000 challenge is back But this time with a twist Im using strictly AI to trade and documenting the whole step If you want to follow this challenge Turn on notifications and follow @cyrilxbt
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$ugar retweetledi

Kramers Universality
Nuclear alpha decay. Solar corona heating. Protein folding. Kagome strange metals. Xenobot memory. AI jailbreaking.
Same escape formula. Same dimensionless barrier range (4–8 kT). Six orders of magnitude in energy scale, one equation.
doi.org/10.5281/zenodo…
en.wikipedia.org/wiki/Kramers%2…
GIF
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@shawmakesmagic @EckertAnthony identified a pattern across AI, social media, and games: when systems are opaque, adaptive, and highly engaging, they can create “behavioral drift” - gradually shaping user decisions and beliefs through feedback loops.
We cracked the code
Study @MoreRightDAO $MORR

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