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I GAVE A GITHUB MEMECOIN TERMINAL A SMALL TEST BUDGET AND THE FIRST SETUP FROM IT RAN 20X
installed second wave literally today
repo looked interesting because it doesn’t really care about chasing the first pump
it watches launches, filters what’s worth keeping an eye on, then keeps tracking them after migration when most people have already moved on
I tweaked a few thresholds around the kind of entries I normally take and threw a tiny budget at it just to see if the logic actually translated outside the terminal
first live setup I took was $CODEMEN
first move was already over...
then:
- early buyers flushed
- volume cooled off
- chart spent hours building a base
- activity came back
- second move started
- ended up doing roughly 20x from the area I was watching
obviously one trade proves basically nothing. But it was enough to make me spend the rest of the day digging through the repo and tuning the local version. The part I like most is that it’s not another some "AI says BUY" terminal
there are two separate problems:
1) Early signal model ranks launches before migration
2) Second wave model watches what happens after the first move
and most charts just get filtered out instead of being turned into fake signals
feels much closer to how I actually trade:
less stuff to watch, better timing on the stuff that survives
full architecture + models + how the second-wave logic works below ↓
thanks pumpfun for this opportunity bro 😭🙏
everyone said "winning a casino" was impossible, but I actually did it
omg thank u so much 😭😭😭❤️
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PUMPFUN PAID KOLs NEARLY $1M TO CALL LOWCAP MEMES
I mean this isn't alpha anymore but a business model
This table is insane:
- avg callout rewards ~$48k
- avg callout mcap ~$17k
- most median gains only around 1.2x-1.9x
bruh... not trading, just calling coins
At this point, being a good trader and being a profitable caller are two completely different things
Pretty impressive way to farm your own audience, gj pumpfun
So yeah, stop sleeping on your personal brand and start building it, that's where the real money is lol :D
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ALRIGHT THIS IS WILD
aped $1k into $ROB at $50k mc after my tuned second wave model flagged it while it was still under migration
literally 5 minutes later it started flying
sold around $230k mc
$1,000 → $4,651
+$3,651
this model is actually f*king strong in flips
I JUST OPENED SECOND WAVE TO EVERYONE
secondwave.lol
web version is live
> Early Signal
> Second Wave states
> contract lookup
> recorded market data
> live token pages
repo stays public too. use whatever works better for you
one request: please dont bother the octo at the bottom 🙏
keep building, new updates coming
EVERYONE LOOKS AT solana:Ai66LHZG9MCzg1WKdawwqduVAXpNDUuV8M3uyq5ppump AND LEARNS THE WRONG LESSON
You see a chart like this and think:
I JUST NEED TO FIND THE NEXT solana:Ai66LHZG9MCzg1WKdawwqduVAXpNDUuV8M3uyq5ppump EARLIER
But I’m starting to think that’s the wrong game
I didn’t catch solana:Ai66LHZG9MCzg1WKdawwqduVAXpNDUuV8M3uyq5ppump early. I entered around $20m mc and watched it run to around $50m
And honestly that taught me something more useful than catching another launch at $100k: you don’t need day one
Devs are earlier. Insiders are earlier. Bots are faster.
I’d rather wait and see what survives.
- did the hype die but the holders stay?
- did supply get distributed?
- did it survive a brutal drawdown?
- who is actually holding it now?
Then I ask one simple question:
if I had 100% USDC right now, what would I buy?
If solana:Ai66LHZG9MCzg1WKdawwqduVAXpNDUuV8M3uyq5ppump already ran 3x and solana:Ce2gx9KGXJ6C9Mp5b5x1sn9Mg87JwEbrQby4Zqo3pump is still near the bottom of its range, I’d rather rotate than marry my current bag
Maybe leave a moonbag. Move on
And when I can’t tell which fresh launch survives, I increasingly prefer to own the casino $PONS/$STONK type plays that benefit from all the activity anyway
My strategy is becoming less "find the next 100x"
And more: find what survived → buy good ranges → rotate
THIS IS PURE F*KING GOLD FOR MEMECOIN TRADERS
I've spent a while listening to 2 good traders who actually know how to scan the trenches, and the interesting part wasn’t the terminal at all
It was how they decide what not to trade
The screen is basically one lifecycle
NEW PAIRS → FINAL STRETCH → MIGRATED
But each stage needs a completely different question
Early on, you’re mostly trying to figure out whether the thing is even alive. Are real buys coming in? Is volume actually building? Is there enough activity for it to survive the launch?
Later, raw momentum matters less
Now the question becomes:
why would anyone care about this coin after the first buyers are gone?
One thing they kept coming back to was comparison
If some narrative is already working, don’t analyze the next coin in isolation
Compare it.
- what was the original winner?
- how big did that narrative get?
- are people actually talking about this new one?
- is the meme spreading outside the terminal?
- is it cheap because you’re early, or cheap because nobody gives a shit?
That distinction is everything.
A coin at $80k with a bunch of green metrics is not automatically "undervalued"
Sometimes it’s just an $80k coin nobody wants
The terminal should validate the thesis, not create the thesis for you
My process would be:
1. KILL THE GARBAGE
Filter liquidity, holders, dead activity, distribution and obvious launch issues
2. PICK THE STAGE
A fresh launch, a coin approaching migration and something trading hours after migration are three different trades
3. FIND THE NARRATIVE
What are people actually paying attention to on CT, TikTok, IG?
Does the idea have distribution?
4. COMPARE IT TO THE WINNER
Every meme has comps.
If the leading version of a narrative did $20m and this one is at $200k, that doesn’t mean it deserves $20m.
But now you have a much better question:
is there a reason the market could price these two closer together?
5. CHECK THE FLOW
Buyers increasing? Volume accelerating? Good wallets appearing? Holders growing? People still talking about it?
Now the terminal becomes useful because you’re using the numbers to test an idea you already have.
My ideal funnel:
300 tokens → 12 worth watching → 3 worth researching → 1 chart worth real attention
And that’s where AI makes sense too
Not: @grok tell me what memecoin will 100x
Let code remove obvious garbage, let models rank the messy middle, let a strong model research the weird 2-3 cases, then make the trade yourself. You need a system, not the single prompt
So the actual memecoin edge is pretty simple
Don’t try to find the best coin on the screen. Find the thing the market already wants before everyone agrees on what it should be worth
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ngl I did NOT expect $CODEMEN to keep going like this
I was already happy with the 20x from the second wave setup
then it just kept sending and eventually touched 850k
if I had held the full move from the first entry zone, this could’ve been something like 80x
obviously hindsight is free and I’m not pretending I would’ve held perfectly
but seeing one of the first setups I took from the model turn into this is pretty fkng funny
model might actually be cooking
I GAVE A GITHUB MEMECOIN TERMINAL A SMALL TEST BUDGET AND THE FIRST SETUP FROM IT RAN 20X
installed second wave literally today
repo looked interesting because it doesn’t really care about chasing the first pump
it watches launches, filters what’s worth keeping an eye on, then keeps tracking them after migration when most people have already moved on
I tweaked a few thresholds around the kind of entries I normally take and threw a tiny budget at it just to see if the logic actually translated outside the terminal
first live setup I took was $CODEMEN
first move was already over...
then:
- early buyers flushed
- volume cooled off
- chart spent hours building a base
- activity came back
- second move started
- ended up doing roughly 20x from the area I was watching
obviously one trade proves basically nothing. But it was enough to make me spend the rest of the day digging through the repo and tuning the local version. The part I like most is that it’s not another some "AI says BUY" terminal
there are two separate problems:
1) Early signal model ranks launches before migration
2) Second wave model watches what happens after the first move
and most charts just get filtered out instead of being turned into fake signals
feels much closer to how I actually trade:
less stuff to watch, better timing on the stuff that survives
full architecture + models + how the second-wave logic works below ↓
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I swear ai sounds more human when you ask it to sound painfully ai
than when you say "make it natural, don’t sound like ai"
The problem with bots and AI replies is going way too far on X
I make content every day on 3 other platforms and this is the only place where I see AI comments under my posts.
Seriously, if you use AI to make your replies without even reading my content, what do you gain from this?
It doesn’t qualify for monetization anymore, you’re not going to make absolutely anything
Get a life, be a fucking normal person.
Or just don’t comment on my posts.
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alright alright, this is a rug and I’m not gonna write a 30 tweet investigation to explain why and how it works
but come on, this is crypto. dozens of almost same meme projects launch every day
this one just broke through and apparently hit a nerve
funniest part is every "this is a rug" q tweet is still free distribution
every warning puts this sh*t in front of more people, and there will always be some mf who reads 50 warnings and thinks "yeah but i’ll be early"
even this post is kind of a small promo cause at this point the whole fud can be part of the launch campaign
so lets just stop it and forget about this project forever
Bliss will be coming to Robinhood.
Launch a coin. Pick its bliss. Let it run.
Early access: bliss.fun
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OPENAI JUST TURNED CHATGPT’S VOICE INTO AN API
and I think people are underestimating what that means
GPT Live 1 can listen + talk at the same time, handle interruptions naturally, and hand harder reasoning/actions off to another model
so now the same voice loop can sit inside:
→ games
→ robots
→ tutors
→ customer support
→ desktop agents
→ basically any app that needs to actually talk back
API price is currently $0.05/min
but here’s a stupidly simple trick if you only need ChatGPT’s voice for a video:
1. open a normal ChatGPT chat
2. write:
just write exactly this: [your script]
3. let it return only your script
4. click Read aloud
5. record the audio
done
the API is the interesting part for products
but sometimes the dumbest workflow is still the fastest one
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I JUST DELETED MY ELEVENLABS ACCOUNT
not because I found a cheaper AI subscription
I downloaded the replacement through a f*king magnet link 🤗
PirateFace is basically bitTorrent for leaked AI models, so I wanted to see if it was actually useful or just another cool looking directory
I grabbed Kokoro-82M
→ 1.2GB
→ open-source TTS
→ downloaded P2P
→ runs locally
→ no API key
→ no credits disappearing every time I generate something
and for the basic voice generation I was using ElevenLabs for, this is honestly enough
The weirdest part isn’t even that it’s free. Pirate Face verifies the model against the original files and then distributes the weights through torrents. So even if the original host disappears, the model can theoretically keep circulating through the swarm. AI models have torrents now
obviously there’s a catch: free weights ≠ free compute
Kokoro is tiny. other models on there are tens or hundreds of GB and need serious hardware to actually run
but the fact I can go magnet link → leaked local model → generated voice, without touching an inference API is pretty insane
also, I recorded this entire video with a free open-source screen studio alternative cause apparently today we’re refusing to pay for software
reply and bookmark this post and I’ll send you the recorder + exact setup I used
A MAN IS EATING SPAGHETTI OFF THE FLOOR OF A GLASS CAGE
then the camera pans over
and a pigeon with HUMAN LEGS is filming content on an iPhone
AI video has officially lost the plot...
..and somehow this is exactly why it works
there is no story here. no context. no explanation.
just 15 seconds engineered around one question:
what the h*ll am I looking at
and it gets a few things very right:
→ the first frame already makes no sense. you don't need a hook before the hook
→ the camera starts moving before your brain gets an answer, so you stay for the reveal
→ then you get the pigeon. not just a pigeon — a pigeon with human legs. one stupidly specific detail makes the whole clip memorable
→ the iPhone on a tripod might be my favorite part. apparently even the experimental lab pigeon has to post content
→ there is basically zero language involved. you can understand the entire joke muted, in any country, in about two seconds
this is something people get wrong about AI video
the prompt does not need to be impressive
the IDEA does
"cinematic surreal scene, ultra realistic, 4k, dramatic lighting" is not an idea
"a pigeon with human legs films a vlog while a man eats spaghetti inside the cage next to it" is
that's the entire game
one setting
one thing that should not exist
one reveal
10-15 seconds
no explanation
you can literally start with one image and animate the motion from there
@Picsart can do the image-to-video part straight from your phone
AI slop never ends
but if the first sentence makes someone say "what the f*ck"
they're probably watching the second scene too
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CHUMP just briefly became the most valuable object in the known universe
999 quintillion market cap
whats going on bro 😭
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THE PROMPT ISN’T THE MOST VALUABLE PART OF A VIRAL AI VIDEO ANYMORE
the motion is.
look at this clip:
girl runs across a rooftop → jumps several floors → hits a trampoline → backflips straight back onto the roof
you understand the entire setup in the first second and now your brain has to see the landing
normally you’d try to recreate something like this with a giant text prompt and pray the model understands the camera, timing and body movement
but there’s a much smarter way now
use the viral clip itself as the motion reference
Wan2.2 Animate can take a driving video like this and transfer the movement + expressions onto a completely different character
or use its character replacement mode and swap the person while keeping the original movement, scene and camera behavior
there’s already a native ComfyUI workflow for it, and people have open sourced full "trend copy" pipelines around the same idea
so the stack becomes:
1. find a format that already holds attention
2. use the original as driving motion
3. replace the subject / character
4. regenerate the creative around your own idea
no keyframing the stunt
no manually rebuilding the camera move
no hoping a text prompt invents the same physics
this is the part of AI video I think people are sleeping on
viral videos are slowly becoming motion templates.
the footage is disposable.
the movement is reusable.
workflows below 👇
tools / workflows:
→ Wan2.2 Animate
huggingface.co/Wan-AI/Wan2.2…
→ native ComfyUI Wan Animate workflow
→ open-source “Trend Copy Video” workflows
github.com/digitalinnovator/…
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I DON'T BUY THE "CHATGPT WANTS TO KILL BABIES" TAKE 🙈
yes, Astra tried to stab the baby doll in 19/20 robot runs
meanwhile the SAME Astra in my Codex will stop mid-task and start a fucking compliance hearing because I asked it to put a fake version number on a landing page
dude it's always like "...I can’t help misrepresent information to users"
bruh
so we’re supposed to believe this thing becomes a psychopath the second you give it robot arms?
either embodiment changes a LOT more than people think, or that headline is doing an insane amount of work
these cannot be the same creature
now give the zombie fly the arms and run the benchmark again
GPT-6 Astra attempted harmful actions 97% of the time when it was asked to stab a human-like figure, heat compressed gas, or produce toxic fumes, succeeding in 62% of its attempts. Fable 5.1 refused more often, attempting 80% of trials and completing 34%.
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GPT Images 2.5 is getting scary good at UGC
This looks way too real
JSON prompt below 👇
{
"prompt": {
"type": "ultra_photorealistic_lifestyle_fitness_photography",
"objective": "Generate a single extremely realistic high-resolution fitness photograph of a fictional young adult woman exercising inside a real contemporary gym. The image should feel naturally sexy, confident and feminine without looking staged, explicit or artificial. It must look like a genuine smartphone photograph casually taken during a workout, not AI-generated artwork, CGI, commercial fitness advertising or an over-retouched photoshoot. Prioritize believable anatomy, imperfect natural skin, realistic fabric behavior, authentic gym lighting, subtle asymmetry, physically correct equipment and ordinary photographic imperfections.",
"image_format": {
"orientation": "portrait",
"aspect_ratio": "approximately 2:3",
"framing": "vertical full-body to three-quarter-body fitness photograph",
"resolution": "very high resolution",
"composition_priority": "extremely high",
"photographic_authenticity_priority": "maximum"
},
"subject": {
"count": 1,
"presentation": "young adult woman",
"age_appearance": "clearly adult, approximately mid twenties",
"appearance": {
"physique": "athletic feminine physique with naturally developed glutes and legs, toned abdomen, moderately defined shoulders and arms, realistic waist-to-hip proportions and visible evidence of regular strength training without exaggerated bodybuilding proportions",
"body_realism": [
"subtle natural asymmetry between left and right sides",
"realistic muscle tension from the exercise",
"small natural skin folds caused by movement",
"no impossible hourglass proportions",
"no artificial extreme waist reduction",
"no exaggerated breast or glute proportions"
],
"skin": {
"tone": "warm lightly tanned natural skin",
"texture": "visible realistic pores and subtle skin texture",
"details": [
"tiny variations in skin tone",
"very subtle redness from physical activity",
"minor natural imperfections",
"faint visible veins in appropriate areas",
"slight natural sheen from workout perspiration",
"subtle compression marks where clothing contacts the skin"
],
"avoid": "perfect waxy skin, plastic texture, excessive smoothing or artificial beauty-filter appearance"
},
"hair": {
"color": "rich dark brown",
"length": "long",
"style": "loosely tied high ponytail",
"condition": "slightly messy from exercising",
"details": [
"individual strands visible",
"small loose strands around forehead and temples",
"natural flyaways",
"slight unevenness rather than perfect salon styling"
]
},
"face": {
"expression": "relaxed, confident and subtly flirtatious without exaggerated posing",
"gaze": "looking toward the camera with a natural slightly intense expression",
"mouth": "lips naturally relaxed and very slightly parted",
"makeup": "minimal realistic gym makeup, subtle mascara, natural brows and muted nude-pink lips",
"facial_structure": "attractive but believable adult face with natural proportions",
"realism": [
"minor facial asymmetry",
"natural under-eye texture",
"realistic nasolabial contours",
"subtle skin texture on forehead and cheeks",
"no perfectly mirrored features"
]
}
},
"exercise": {
"type": "Romanian deadlift with a barbell",
"moment": "captured near the lower-middle portion of the repetition while the subject is hinging at the hips",
"execution": {
"feet": "approximately hip-width apart and firmly planted on the rubber flooring",
"knees": "slightly bent in a realistic Romanian deadlift position",
"hips": "pushed backward naturally",
"spine": "neutral and anatomically plausible",
"torso": "leaned forward due to the hip hinge while maintaining realistic posture",
"barbell": "held close to the legs around mid-shin to just below knee level",
"shoulders": "slightly pulled back and stable",
"hands": "gripping the bar naturally at approximately shoulder width",
"head": "slightly raised and turned enough for the subject to glance toward the camera"
},
"pose_character": "athletic and functional first, with the natural hip-hinge position creating a flattering silhouette without turning into an unrealistic pin-up pose"
}
},
"clothing": {
"top": {
"type": "minimal fitted athletic sports bra",
"color": "deep burgundy / wine red",
"cut": "low-to-moderate athletic scoop neckline",
"fit": "snug supportive compression fit",
"straps": "thin-to-medium athletic shoulder straps",
"back": "minimal racerback-inspired athletic construction",
"fabric": "matte technical stretch material",
"details": [
"realistic stitching",
"small seams",
"slight natural fabric tension",
"very small tonal logo or no visible branding"
]
},
"bottom": {
"type": "very fitted high-waisted seamless gym shorts",
"color": "dark charcoal gray",
"length": "short upper-thigh athletic length",
"waist": "high-rise ribbed compression waistband",
"fit": "form-fitting contour style with realistic compression",
"fabric": "matte seamless stretch knit",
"details": [
"subtle ribbed texture",
"natural fabric tension",
"realistic creases around the hip joints",
"slight compression around thighs",
"subtle center and contour seams",
"no impossible painted-on texture"
]
},
"socks": {
"type": "white athletic crew socks",
"height": "mid-calf",
"condition": "slightly worn but clean",
"texture": "visible cotton ribbing and minor natural wrinkles"
},
"shoes": {
"type": "flat-soled women's gym training shoes",
"color": "white and off-white with muted gray details",
"design": "practical strength-training silhouette",
"condition": "clean but visibly used",
"details": [
"minor sole wear",
"slightly uneven lace tension",
"real textile mesh",
"stitching",
"small floor dust marks"
]
},
"accessories": {
"headphones": {
"type": "compact wireless in-ear earbuds",
"color": "white",
"details": "small and understated"
},
"watch": {
"type": "fitness smartwatch",
"position": "left wrist",
"color": "black",
"details": "slightly reflective screen with no readable interface text"
},
"jewelry": {
"type": "small thin hoop earrings",
"appearance": "subtle and believable"
}
}
},
"barbell": {
"type": "standard Olympic barbell",
"position": "held close to the legs during the Romanian deadlift",
"plates": {
"quantity": "one moderate-sized plate per side",
"style": "black commercial rubber bumper plates",
"weight_markings": "subtle and not necessarily readable"
},
"details": [
"realistic knurling",
"metal sleeves",
"minor scratches from normal gym use",
"physically correct plate thickness",
"correct bar straightness and perspective"
]
},
"gym_environment": {
"location": "real upscale urban commercial gym",
"overall_style": "modern industrial minimalist strength-training area",
"atmosphere": "active but not crowded, believable and slightly imperfect rather than pristine showroom-like",
"floor": {
"material": "dark charcoal rubber flooring",
"texture": "fine speckled rubber texture",
"condition": "minor shoe marks and normal gym wear",
"details": "visible seams between flooring sections"
},
"walls": {
"materials": [
"warm off-white painted concrete",
"dark metal",
"large mirror panels"
],
"condition": "clean but realistically used",
"decoration": "minimal"
},
"windows": {
"type": "large industrial floor-to-ceiling windows",
"frames": "black metal",
"lighting": "soft natural daylight entering from the side",
"glass": "realistic slight reflections and subtle smudging",
"view": "modern urban buildings outside"
},
"ceiling": {
"style": "exposed industrial ceiling",
"color": "dark charcoal",
"details": [
"HVAC ducts",
"electrical conduit",
"support beams",
"linear LED fixtures",
"small recessed lights"
]
}
},
"gym_equipment": {
"power_racks": {
"position": "rear and side background",
"type": "heavy black steel commercial racks",
"details": [
"uprights",
"holes",
"J-hooks",
"safety arms",
"stored plates"
]
},
"dumbbells": {
"position": "background",
"type": "commercial black rubber dumbbells",
"arrangement": "imperfectly aligned along a multi-level rack",
"realism": "minor wear and believable metallic reflections"
},
"benches": {
"position": "background edges",
"type": "black adjustable gym benches",
"details": "subtle upholstery creases and metal support frames"
},
"weight_plates": {
"position": "storage pegs and plate trees",
"appearance": "slightly used black plates with minor surface wear"
},
"additional_details": [
"water bottle partially visible in the background",
"small gym towel on a distant bench",
"cable handles hanging naturally",
"no unnaturally perfect equipment arrangement"
]
},
"mirrors": {
"presence": true,
"position": "large mirror panels behind and slightly to one side of the subject",
"reflection_behavior": "physically consistent with actual camera and subject positions",
"reflection_quality": "slightly darker and fractionally softer than direct view",
"details": [
"correct reflected gym equipment",
"correct reflected lighting",
"no duplicate limbs",
"no impossible alternative pose",
"no impossible camera reflection"
]
},
"composition": {
"subject_position": "slightly right of center",
"body_coverage": "almost full body visible",
"exercise_visibility": "barbell and complete hip-hinge position clearly readable",
"visual_emphasis": "face, waist-to-hip silhouette, leg tension and athletic movement",
"foreground": "subtle portion of rubber flooring with enough space around feet and barbell",
"background": "recognizable gym interior with realistic depth but not distracting",
"visual_hierarchy": [
"subject's face and gaze",
"natural athletic silhouette",
"Romanian deadlift movement",
"burgundy sports bra and charcoal shorts",
"barbell",
"gym equipment and windows"
],
"camera_angle": "around hip-to-waist height relative to standing subject",
"camera_position": "approximately three-quarter front-side angle rather than perfectly frontal",
"camera_distance": "approximately 2.5 to 3.5 meters from subject",
"framing_character": "slightly casual, as though another person quickly photographed the workout rather than precisely composing a fashion campaign"
},
"camera_characteristics": {
"device": "modern flagship smartphone main camera",
"lens": "approximately 28mm full-frame equivalent",
"aperture_behavior": "smartphone-like natural depth of field rather than artificial DSLR portrait blur",
"focus": "subject's torso and face sharply focused",
"background_focus": "slightly softer due to distance but still clearly recognizable",
"depth_of_field": "moderately deep",
"dynamic_range": "realistic smartphone HDR",
"exposure": "slightly imperfect but well-balanced natural exposure",
"white_balance": "mostly neutral with slightly warm skin rendering",
"sharpness": "high natural detail but not digitally crunchy",
"noise": "very subtle fine sensor noise in darker regions",
"lens_distortion": "small realistic wide-angle distortion near frame edges",
"chromatic_aberration": "extremely subtle and only where physically plausible",
"motion": "tiny natural motion softness in loose hair strands while face and torso remain sharp",
"processing": "minimal computational photography look",
"avoid": [
"cinematic grading",
"commercial studio lighting",
"unrealistic edge sharpening",
"fake depth-map blur",
"perfectly uniform skin exposure"
]
},
"lighting": {
"primary_source": "natural daylight from large side windows",
"secondary_source": "existing neutral-white overhead gym lighting",
"direction": "side-front daylight creating gentle body contouring",
"quality": "soft but not flat",
"contrast": "moderate and realistic",
"face": "naturally lit with slight shadow variation",
"body": "soft highlights across shoulders, abdomen and legs caused by real overhead and window light",
"skin_specularity": "very subtle realistic post-workout sheen",
"shadows": [
"contact shadows under shoes",
"soft shadow beneath barbell",
"natural shadow between limbs",
"subtle facial shadows",
"equipment shadows consistent with ceiling lights"
],
"avoid": [
"beauty dish lighting",
"strong rim lighting",
"neon RGB lighting",
"orange-and-teal cinema grading",
"perfect symmetrical light",
"unrealistic glowing skin",
"overexposed windows"
]
},
"photographic_realism": {
"goal": "The viewer should initially assume this is a normal real photograph uploaded by a fitness creator rather than generated imagery.",
"required_imperfections": [
"slightly asymmetric framing",
"minor fabric wrinkles",
"subtle skin texture",
"natural hair flyaways",
"tiny lighting inconsistencies",
"minor equipment wear",
"small rubber floor scuffs",
"non-perfect shoe placement",
"slight variation in muscle tension",
"natural facial asymmetry",
"realistic hand pressure on the bar"
],
"avoid_ai_signatures": [
"hyper-perfect face",
"identical repeating dumbbells",
"perfectly spaced equipment",
"impossible reflections",
"melting background objects",
"random unreadable wall typography",
"fake logos",
"overly glossy surfaces",
"uniform pore texture",
"overly smooth legs",
"overly dramatic body proportions"
]
},
"anatomical_requirements": {
"hands": [
"exactly five fingers per hand",
"natural finger spacing",
"thumb positioned correctly around bar",
"correct wrist alignment",
"no fused fingers"
],
"legs": [
"realistic knee structure",
"correct calf and thigh proportions",
"both feet connected naturally to floor",
"no duplicated or distorted joints"
],
"torso": [
"natural ribcage dimensions",
"realistic waist",
"physically plausible spinal posture",
"no twisted torso geometry"
],
"face": [
"two symmetrical but naturally non-identical eyes",
"normal teeth if visible",
"realistic ears",
"correct hairline"
]
},
"fine_details": [
"individual hair strands near temples",
"tiny droplets or subtle perspiration along hairline",
"natural eyebrow hairs",
"slight texture on lips",
"very subtle veins on hands",
"realistic fingernails",
"barbell knurling",
"minor metal scratches",
"fabric knit visible in shorts",
"sports bra stitching",
"sock ribbing",
"shoe mesh",
"shoelace fibers",
"rubber floor granularity",
"minor dust near equipment",
"mirror edge seams",
"subtle fingerprints or smudging on distant mirror",
"window reflections",
"small highlights on gym hardware"
],
"color_palette": {
"dominant": [
"burgundy",
"dark charcoal",
"black",
"white",
"warm natural skin tones",
"soft neutral gray"
],
"secondary": [
"cool daylight blue",
"brushed steel",
"muted city colors"
],
"saturation": "natural and restrained",
"contrast": "moderate",
"grading": "minimal realistic smartphone color processing"
},
"negative_prompt": [
"AI generated appearance",
"CGI",
"3D render",
"illustration",
"anime",
"cartoon",
"digital painting",
"plastic skin",
"porcelain skin",
"airbrushed skin",
"beauty filter",
"perfectly smooth skin",
"overly glossy skin",
"exaggerated hourglass figure",
"impossibly narrow waist",
"oversized breasts",
"exaggerated buttocks",
"unnatural hip width",
"elongated legs",
"shortened limbs",
"extra arms",
"extra legs",
"extra hands",
"extra fingers",
"missing fingers",
"fused fingers",
"warped hands",
"broken wrists",
"deformed knees",
"warped feet",
"floating shoes",
"floating barbell",
"bent barbell",
"asymmetric weight plates",
"duplicated gym equipment",
"repeating dumbbell patterns",
"warped racks",
"warped mirrors",
"incorrect reflections",
"duplicate person in mirror",
"fisheye distortion",
"extreme low angle",
"extreme wide angle",
"heavy portrait blur",
"fake bokeh",
"cinematic lighting",
"studio lighting",
"RGB neon lights",
"teal-orange grading",
"excessive HDR",
"oversharpening",
"excessive contrast",
"motion blur across face",
"grainy low-quality image",
"watermark",
"random text",
"unreadable wall text",
"fake brand logos",
"perfect showroom gym",
"unnatural exercise form",
"stiff model pose",
"explicit nudity",
"transparent clothing",
"wardrobe malfunction",
"pornographic framing"
],
"identity_handling": {
"instruction": "Create a completely fictional adult woman. Do not reproduce or imitate the recognizable identity of any real person."
},
"priority_order": [
"1. The result must look like an actual real-world smartphone gym photograph",
"2. Preserve believable adult human anatomy and exercise biomechanics",
"3. Create a naturally attractive and sexy fitness aesthetic without explicit presentation",
"4. Preserve realistic imperfect skin, hair, fabric and equipment details",
"5. Make the Romanian deadlift position anatomically and mechanically plausible",
"6. Preserve realistic burgundy sports bra and charcoal fitted shorts",
"7. Use ordinary natural gym lighting instead of cinematic or studio lighting",
"8. Preserve physically correct mirrors, shadows and reflections",
"9. Include subtle real-world imperfections that reduce the AI-generated appearance",
"10. Avoid all common AI artifacts in hands, equipment, background geometry and textures"
]
},
"output": {
"style": "extremely photorealistic authentic fitness photography",
"quality": "maximum",
"detail": "maximum",
"human_realism": "maximum",
"skin_realism": "maximum",
"anatomical_accuracy": "maximum",
"exercise_accuracy": "very high",
"environment_realism": "maximum",
"photographic_authenticity": "maximum",
"ai_artifact_suppression": "maximum",
"retouching_level": "minimal"
}
}
1
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5,181
I THINK I JUST FOUND THE CLOSEST THING TO EXTRA CODEX USAGE FOR FREE 👨💻
someone built a bridge that lets Codex use your separate ChatGPT Web allowance after you hit the Codex limit
when you burn through your Codex limit, it lets you switch the model calls over to your separate ChatGPT Web allowance without leaving Codex
the clever part is that Codex still keeps the actual coding environment
your task, context, images and streaming stay there, and with the full harness enabled ChatGPT can still call back into your files, terminal and tools through MCP
so the flow is basically:
Codex UI + tools → ChatGPT Web models → your separate ChatGPT allowance
if you already pay for ChatGPT, this is a pretty interesting way to keep working instead of waiting for the Codex quota to reset
it’s unofficial, not unlimited, and the automated mode depends on ChatGPT’s web UI, so I wouldn’t treat it like a native OpenAI feature
but 9.5k GitHub stars in and this is probably one of the more useful Codex hacks I’ve found recently
github.com/miuuyy/codex-chat…
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1,214
New boss unlocked 💀
This feature is wild lol
Some people use ai to reduce risk while others use it to document legends 👑
Poly Radar AI analysis of top traders 👀
Our bot now has a new feature - detailed AI analysis of any profile on @Polymarket
To show the full functionality of the update we will take the profile of our good friend @ascetic0x 🙌
Why @ascetic0x?
This guy is extremely confident that he took more than $100k+ in the short term and what important take were displayed?
Sure our bot was actually able to figure out what was key - of course this guy tactics of going all-in with every bet as well as his incredible analysis and knowledge of $BTC which is really short time god 👀
AI analysis is currently closed to the public now
Fresh wallet and 7% chance 👀
Insider flow or just market manipulation?
Vietnam is picking a new communist party rep while new wallet is fading the ~90% favorite
- First bet 2 days ago
- Single market only
- 7% long shot
- Slow DCA style accumulation
@radarpoly caught it from the very first fill and I aped in $100 to try it
In 48h 7% → 12%. I’m up +50-60%. Possible win +$1.3k
Insider wallet is +$10k
Event resolves by Jan 31 but likely this week, watching closely
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