growth x creative • ai • web3 @noncitizen_

Joined April 2021
45 Photos and videos
Moved USDC from MetaMask to @cryptocom and @okx. On-chain transfers were instant. CEX side: - 25 min delay - sender full name required - home address required - sender wallet type required We built tech that settles globally in seconds, then wrapped it in compliance friction that can feel worse than legacy banking. I’m not anti-regulation. But CEXes need to start pushing back on what this is doing to the UX.
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Rio claimed they built a groundbreaking frontier 397B model. Nex checked the weights and found it was mostly their N2 Pro Qwen 3.5. The model even started calling itself Nex without a prompt. 💀 They updated the card after getting exposed. Remixing is fine but give credit where it's due.
The Rio 3.5 model broke the internet this week. The plot twist? It’s essentially our open-source model, Nex N2 Pro, wearing a different hat. 🤯 We analyzed the weights, and the recipe is exact: Rio 3.5 ≈ 0.6 * Nex N2 Pro 0.4 * Qwen 3.5 It even literally introduces itself as "Nex N2 Pro" if you ask it without initial system prompt! 😂 We are flattered that the City of Rio used our work to achieve SOTA performance. Thanks for the ultimate benchmark validation. 🤝 But in the open-source world, attribution matters. 👇 Full mathematical proof & verify script in the first reply!
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Cheaper tokens do not always mean a cheaper workflow. I’ve been noticing this using Hermes and open-weight Chinese models. Sometimes the cheaper model needs longer prompts, more retries, more tool calls, or another model to fix the output. So the token price looks better, but the workflow is not always cheaper. That part gets lost in a lot of benchmark charts.
opencode published their real model usage data. what developers actually run when they're paying for it: 1. deepseek v4 flash: 32T tokens 2. deepseek v4 pro: 19T tokens 3. kimi k2.6: 6.5T tokens deepseek is running more tokens than the next 16 models combined. it's actual usage from developers spending their own money. glm-5.1 grew 419% too. the models winning on price and reliability aren't always the ones winning on twitter.
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The same vibe-coder engineers using Opus for everything would hire a private jet to cross the street if someone else was paying. Kimi 2.6 and DeepSeek v4 Pro can handle a lot of the grunt work. Save the expensive models for the parts where being slightly wrong costs more than the tokens.
NEW: Uber is reportedly capping employee use of AI vibe-coding tools at $1,500 per month after blowing through its AI budget.
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you gotta watch this.
This is one of the best short films I've seen in years. Very soon, we'll stop calling it "AI film" and just call it film.
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Higgsfield Soul Cinematic is underrated. Barely anyone talks about it, but the images have a real cinematic mood. The only BIG caveat: You still can’t use an image ref and a prompt together, which makes precise direction harder than it should be. I’ve always been a big fan of Wong Kar-Wai's films, so this is a small tribute while testing these models. Image: Higgsfield Soul Cinematic Video: Kling 3.0 4K
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AI compressed the difficulty of building faster than it compressed the difficulty of getting people to care. Coding agents can solve a lot of build problems now. But taste, timing, positioning, creativity, and human attention are still more art than science.
marketing is 100x harder than programming
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if your brand context still lives in Google Docs, or you’re pasting it into Claude/ChatGPT every session, you’re behind. the current standard is a shared repo with your context, agents, skills, workflows, outputs, and logs. your brand should have its own operating system.
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New Higgsfield CLI now works on Cursor 🎉 Just tested out the new Happy Horse video model entirely within my Cursor session. No browser needed, just typed the commands and saved on my local machine.
Meet Higgsfield CLI Marketing Skills. Instead of burning tokens on bloated schemas, or shipping broken creative at scale, the CLI keeps agent spend lean and Skills keep output high quality. Pairs with Сodex, Claude Code, Openclaw etc. npx skills add higgsfield-ai/skills
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there’s a massive use case for Meta’s TRIBE v2 in growth and content marketing: stress-testing creative before you spend budget distributing it.
🚨 ¡ESTO ES INCREÍBLE! 🚨 Meta acaba de lanzar TRIBE v2, una IA gratuita que predice exactamente dónde tu video se vuelve aburrido ¡ANTES de que lo publiques! El 99% de los creadores no saben que esto existe. Así es como puedes aprovecharlo: ✅ El concepto: Un "espejo digital" que predice la respuesta del cerebro humano a tu contenido (video, audio o texto). ✅ La utilidad: Deja de adivinar. Detecta ganchos débiles, elimina los tiempos muertos y asegura un impacto máximo. ✅ El flujo de trabajo: Analiza la curva de respuesta, corta los segundos planos y empieza directamente con el resultado. 🔗 Prueba la demo aquí: aidemos.atmeta.com/tribev2
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Tried Higgsfield’s new MCP connector on Claude. I could talk to it normally, create an image with Nano Banana 2, then spin it into a Seedance 2 video. I see huge potential using this with brand design systems.
Higgsfield MCP now connects to Claude! 🧩 The first way to generate visuals on Claude, powered by Seedance 2.0, GPT Images 2.0, Marketing Studio and Cinema Studio. Research on Claude. Polish your prompts. Generate ads, videos and brand content via the Higgsfield connector.
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Cursor pushed GPT-5.5 with a big announcement 50% off. Kimi 2.5 is already in Cursor, but Kimi 2.6 (out a few days ago) still isn’t. What’s the hold up?
Kimi K2.6 is the new SOTA open model in Vision and Document Arena, with solid gains since Kimi K2.5: - #1 open on Vision Arena (#15 overall), 14 over #2 Kimi K2.5 (Thinking) - #1 open on Document Arena (#8 overall), 9 over K2.5 and on par with proprietary models like Muse Spark and Gemini 3.1 Pro. Huge congrats again to the @Kimi_Moonshot team on the open source progress!
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first impressions of GPT-5.5: it doesn’t seem dramatically smarter in regular chat. but inside agentic workflows, it feels faster and more autonomous.
Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.
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kimi 2.6 is the most underrated story in AI right now. - open source - frontier benchmarks - 300-agent swarms - opus 4.7 level at 10x lower cost the biggest lie in AI is that closed models are still winning.
Kimi 2.6 BEATS Opus 4.7 And Is The BEST Open Source Model In The World Kimi 2.6 scores above Opus 4.7 low on LiveBench - a benchmark that can't be gamed It beats Opus on reasoning, coding and comes close on agentic coding We double-checked on internal evals this is a VERY GOOD MODEL at 10x less cost 🤯
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AI gen video is getting practically indistinguishable from real footage. But lip movement is still one of the biggest giveaways.
HOLY 💩 SHE'S DOING IT! Made with Runway. Yes, Runway! @runwayml
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Marketing teams still on Claude Code: Cursor 3 is worth testing. better UX. parallel agents. any model. after the recent nerf, that old “Claude is clearly more efficient” advantage isn’t as obvious anymore.
We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment.
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i've been saying Magnific is the best photo upscaler for years - nothing else comes close for making AI images look real. they brought that same magic to video which means less plastic looking AI, more realistic looking AI.
IT'S FINALLY HERE! 🔥 Magnific Precision for Video! 🔥 Available now in your favourite platforms 🧵
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