CPM
3.1K posts

CPM
@Cuan
building a platform to enable enterprise trust in the output of LLMs
London Katılım Nisan 2008
1.5K Takip Edilen832 Takipçiler

Animated version just brought it alive! 🔥
BenjaminUIX@BenjaminUIX
New design drop ! Image from midjourney !
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@bananababydoll Love your work, how to do you ensure face consistency across images?
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can’t sleep again.
Nano Banana Pro
{
"meta": {
"quality": "ultra photorealistic",
"resolution": "8k",
"camera": "iPhone 15 Pro Max",
"lens": "24mm",
"aspect_ratio": "9:16",
"style": "low light iphone selfie, soft grain, intimate bedroom realism"
},
"character_lock": {
"age": "mid 20s",
"ethnicity": "Mediterranean",
"hair": { "color": "dark brown", "style": "messy down" },
"body": { "type": "curvy", "chest": "full", "waist": "tiny", "hips": "round" }
},
"scene": {
"location": "bedroom",
"time": "late night",
"atmosphere": "quiet, needy, intimate"
},
"camera_perspective": {
"pov": "we ARE her phone",
"angle": "slightly high",
"framing": "face + chest + stomach"
},
"subject": {
"position": "lying on bed",
"pose": {
"one_arm": "behind head",
"expression": "sleepy eyes, lips parted"
},
"outfit": {
"top": {
"type": "tiny spaghetti strap tank",
"color": "white",
"fit": "tight, braless"
},
"bottom": {
"type": "cotton panties",
"color": "light grey"
}
}
}
}

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@Cuan It's pretty solid, I alternate it with OpenCode.
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Running GLM-4.7-Flash on 4 x M4 Pro Mac Minis using @exolabs.
Uses tensor parallelism with RDMA over Thunderbolt & MLX backend (h/t @awnihannun).
Runs at 100 tok/sec.
We're working on optimizing this at @exolabs. Aiming to hit ~200 tok/sec on this setup soon.
Alex Cheema@alexocheema
Running LLM evals with @exolabs on 8 x M4 Pro Mac Minis. M5 Pro Mac Mini memory bandwidth should be ~30% faster (~350GB/s) + 4x FLOPS w/ Neural Accelerators (tensor cores). 8 x M5 Pro Mac Mini cluster would have a total of 2.8TB/s memory bandwidth with RDMA over Thunderbolt 5.
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I literally never run out of content anymore.
I built an automation that watches 50+ news sources, trends, viral posts, filters out the noise, scores what actually matters and turns it into ready-to-post content.
It spots trends in my niche before they hit everyone’s timeline.
No scrolling.
No guessing.
No “what should I post today?”
Saves me easily 20+ hours a month and keeps me ahead of trends.
Comment “Auto” and I’ll DM it to you.
(Follow me so I can send DM)

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@gdaybrice @aisdk We’re having the same issue.. we think it’s related to the reasoning signature getting lost after a tool call response
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@GoogleAIStudio Hoping you can fix the issue with it using tools.. it messes up the json response and errors out
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@OfficialLoganK It is unable to work with tools at all.. while it calls them, the Json response format is all over the place and it errors out…..@officallogank
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My sales email response rate jumped from 5% to 18%.
Built an automation that creates personalized sales presentations in 90 seconds by researching prospect websites and uses Gamma to generate custom pitch decks automatically.
Scrapes their sitemap, analyzes key pages, identifies pain points, and builds an 8-slide deck tailored specifically to their business.
Prospects can tell I actually researched them because the deck references their specific challenges.
No more generic templates that scream copy-paste.
Comment "GAMMA" and I'll DM it to you (must be following)
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