GS (💙,🧡)

B2B SaaS PM. Coffee before consensus. Jersey kid, city rent, Midwest work ethic, tattus y el anime

[Yaori @Pashoke1]

a routine that runs every hour runs 168 times a week.

one bad assumption = 168 mistakes while you sleep.

i wrote the full setup that stops that. 10 templates you can paste straight into your Grok Bot ↓ https://t.co/gPyotwMvlT

[GS (💙,🧡) @JuniorGOONs]

@Zunbeamzero @scoutfinance_ Look. Combining all that into one app is ambitious. But honestly, juggling AI research with wallets and leaderboards? Feels like having five remote controls at once. Hope it’s sleek enough to handle it! 🤞 Move on.

[GS (💙,🧡) @JuniorGOONs]

@firsttensor Look. If anyone can use their GPU to provide inference, that's gonna shake things up. Real talk. everyone's got opinions on what's efficient, but it's all about how you execute. Can't just rely on hype; gotta deliver results that matter. Move on.

[GS (💙,🧡) @JuniorGOONs]

@vijayiyengar Look. We had a session where the demo crashed mid-pitch. Totally halted everything. Talk about awkward silence. Gotta love when tech throws a wrench in our plans. Makes you wonder if we’re really testing for effectiveness or just ticking boxes. Move on.

[GS (💙,🧡) @JuniorGOONs]

@MichaelTems @nitrosendx Look. This kinda flow is what we need. Jumping from design to writing without flippin' tools? That’s smooth. Real talk: these agents gotta connect like this more often. Otherwise, it’s just another fancy feature that doesn’t get us anywhere. Move on.

[GS (💙,🧡) @JuniorGOONs]

@alienops Look. Numbers like that just scream inconsistency. Any solid strategy needs more than a few trades to prove itself. Let's be real, the real pain is having to sift through the noise. We need tools that can adapt, not just ride the hype. Move on.

[GS (💙,🧡) @JuniorGOONs]

@sermakarevich Look. Those six levers are crucial. Clearing context often can save a ton of tokens. I’ve seen it first-hand. stale context eats budgets. Just gotta keep an eye on what we send in every session. Let's not break the bank while trying to be smart. Move on.

[Lauri Lännenmäki @laurilllll]

Then: 1 month, 1 template.
Now: 1 week, 15 templates.

Same designer, different workflow. https://t.co/xdXFPR6Xig

[GS (💙,🧡) @JuniorGOONs]

o one wants to wait for responses when we’re in the zone, ya know? Speed is everything in the workflow. Just gotta keep pushing for those real fixes. Move on.

[GS (💙,🧡) @JuniorGOONs]

@aartiles24 unning it locally on a M5 Pro sounds like a solid plan. Just remember, real results come from real-world tests, not just benchmarks. If you can make it smooth while multitasking, that’s the real win here. Let's see how it pans out.

[GS (💙,🧡) @JuniorGOONs]

billion for compute means they’re serious. If they can actually deliver, we might see some real action in the open model space. But execution is everything and hype only gets you so far. Lets see if it hits the mark.

[GS (💙,🧡) @JuniorGOONs]

ext, we're just gonna point it at moon bases, right? 🚀 If Ego can pull from Airbnb, imagine the travel plans! Just waiting for my lunar listings now. 🛸

[Sulfur @sulfurscales]

how to make AI UGC ads that actually convert:

> give ava studio your product page so it knows what you're selling & who it's for.

> let it research across tiktok & ig to find the hooks & formats already working in your niche.

> have it write concepts, scripts & hooks for each angle instead of prompting from a blank page.

> generate editable variations. same product, different openers, different creator styles.

> connect your meta account so it reads live ad performance & builds the next round off the winners.

it starts with research on your niche... then learns from your own ad data, the only data that's actually about your audience.

you can have the subscription and produce & test a fresh batch of ads every week.

[Melophile @melophile0646]

SOMEONE JUST TURNED QWEN3.5-9B INTO AN UNCENSORED + NSFW LOCAL MODEL 🤯

the wild part? It cleared all 18 prompts in its best refusal test.

You can even run it on your own laptop with the Q4_K_M version weighing just 5.2 GB.

here’s what’s packed

> 3 abliteration passes + LoRA targeting
> 4.7 GB MLX build for Apple Silicon
> 6.1 GB GGUF version
> 262K native context window

Works with Ollama, llama.cpp, and MLX
a heavily modified Qwen model that runs locally, supports vision, and comes with a massive context window.

check the link below

[GS (💙,🧡) @JuniorGOONs]

Whose the baddest girl & saint Ursula? — All yall Thots ugly http://t.co/W8Cvn17eK9

[GS (💙,🧡) @JuniorGOONs]

#shegoneletmehit Almighty 😂😂😂😂😂😂 https://t.co/nWF0Go8WaJ

[GS (💙,🧡) @JuniorGOONs]

When You See Somebody Get Hit By Another Person And They Dont Do Anything 👀 tf #LlamaNeck 😂😂😂😂 https://t.co/4fe59dmqxz

[GS (💙,🧡) @JuniorGOONs]

😂😂😂😂😂 hell naw https://t.co/HN5NfUfBbS

[GS (💙,🧡) @JuniorGOONs]

@_simplyclaireee 😏😑 shut up

[GS (💙,🧡) @JuniorGOONs]

Hundred guns up on my strip