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Bensage

Bensage

@bensage

UX-ing on the Blockchain. Founder & CEO @BlockNads • Ex. Design @1HiveOrg @beradrome

Metaverse Katılım Ekim 2015
1.5K Takip Edilen2K Takipçiler
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Anish Moonka
Anish Moonka@anishmoonka·
You’re watching a game that took 2,000 people eight years to build. Some of them are still dealing with what it cost them. Red Dead Redemption 2 started production in 2010, right after the first game came out. Rockstar merged every studio it owned across five countries into one team. By the end, roughly 2,000 people had touched the project, and the budget landed somewhere between $370 million and $540 million, making it one of the most expensive entertainment products ever created. The numbers inside the game are hard to process. 300,000 individual animations (every hand movement, every horse gallop, every raindrop reaction). 500,000 lines of voiced dialogue spread across 1,200 actors. Recording those performances took 2,200 days in a motion capture studio, where actors wear sensor suits so their movements translate directly into the game. The main story script was about 2,000 pages. Dan Houser, Rockstar’s co-founder, said if you stacked every script in the game, including random people walking around town, the pile would be eight feet tall. Even background characters you’d never talk to had 80-page scripts each, about the length of a short film screenplay for a character with zero plot importance. The composer wrote 60 hours of original music. Most players hear about a third of it. The level of detail borders on insane. Horse testicles shrink when the weather gets cold. Your character gains weight if he eats too much, loses stamina if he doesn’t eat enough. Guns degrade without cleaning. Rockstar’s studio co-head Rob Nelson explained the logic: every tiny detail you don’t consciously notice makes you forget you’re inside a game. Stack enough of those moments and you get something no other studio has matched. That immersion had a price. In October 2018, Dan Houser told New York Magazine the team had been working “100-hour weeks” multiple times that year. He later clarified that was four senior writers over three weeks. But when Kotaku’s Jason Schreier interviewed 77 current and former Rockstar employees, the picture was wider. Nobody hit 100 hours, but many averaged 55 to 60 per week for months at a time. That’s six 10-hour days, often with weekend shifts too. Most were salaried with no overtime pay, their only extra compensation tied to year-end bonuses that depended on how well the game sold. Multiple developers described depression and anxiety during and after production. One told Kotaku they’d been “pushed further into depression and anxiety than I had ever been.” Others reported breakdowns and heavy drinking. Kotaku noted some of the worst stories couldn’t be published because the people involved would’ve been identifiable. The game made $725 million in three days, the second-biggest entertainment launch in history. It has now sold over 82 million copies, won more than 175 Game of the Year awards, and is the fourth best-selling video game ever made. Every frame of that clip was paid for, one way or another.
GTA 6 Info@GTASixInfo

crazy how mfs see this and still choose fifa

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Garry Tan
Garry Tan@garrytan·
I just launched /office-hours skill with gstack. Working on a new idea? GStack will help you think about it the way we do at YC. (It's only a 10% strength version of what a real YC partner can do for you, but I assure you that is quite powerful as it is.)
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⟠Palis⟠🐍
⟠Palis⟠🐍@palis·
Noticed a pattern by my mid 20s that whenever I’d get a cabin or go camping or get an airbnb in the middle of nowhere for mushroom hunting, first night out there I’d sleep 9-10 hours when my usual was 5-7 hours at home. I suspected maybe it was lack of EMFs but didn’t know why exactly, just a consistent pattern. Incredibly good sleep whenever I’m away from civilization and first night my body resets
Wrath Of Gnon@wrathofgnon

In a 2024 experiment humans sleeping in cedarwood paneled rooms had a far deeper and better sleep than in identical but vinyl clad room. The human body works best when surrounded by natural materials.

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Brian Armstrong
Brian Armstrong@brian_armstrong·
Some of our best hires were totally unqualified on paper. They always had the same qualities: entrepreneurial, high agency, smart, mission aligned, and they got shit done. If you’re hiring, especially in early stages, seek out & bet on these people. Don’t over-index on resumes.
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Bensage
Bensage@bensage·
@uxkosta Not to brag, but I doubt any prompt engineer can prompt Claude to design the way I do. I can bet you guys didn't check my email submission, but anyways tweets are tweets innit?
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kosta
kosta@uxkosta·
the bar is very low, most of the submissions are equal to the output you would receive with claude. the design job market isn't overcrowded it's underskilled
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Nevo_Say_Nevo
Nevo_Say_Nevo@NevoSayNevo·
@bensage @monad Yo @bensage, this looks clean AI doing the yield hunting 24/7 on Monad's speed is exactly what DeFi needs right now. Been building on EVM chains for 6+ years — love seeing agents like Sentryield actually ship and run live. Good luck with the hackathon run!
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Luchi Brown👑
Luchi Brown👑@LuchiBrown01·
It’s my birthday 🎂🎉❤️
Luchi Brown👑 tweet mediaLuchi Brown👑 tweet mediaLuchi Brown👑 tweet mediaLuchi Brown👑 tweet media
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SafZ
SafZ@CrypSaf·
FROGE is storming the TL 🐸 One of the most exciting FREE mints rn Happy to welcome @FROGE69mg into the GEM cave 💎 We secured a FULL allocation: - 6,969 supply - FREE mint - 20k $FROGE = 1 GTD - 2D + 3D NFTs - 2k+ holders & growing Froge szn loading, looking forward to it ✊
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Historic Vids
Historic Vids@historyinmemes·
In 2013, Hayao Miyazaki foresaw the decline of Studio Ghibli—years before AI began imitating his work. In 2013, Hayao Miyazaki spoke candidly about the future of Studio Ghibli, acknowledging that one day it might all come apart. His concern wasn’t money or fame, but legacy—because he knew Ghibli’s essence wasn’t just animation, but something profoundly human. Years later, his words carry even greater weight, as AI models replicate the look of his work without his touch, his storytelling, or the soul that defined it.
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mert
mert@mert·
name one reason why ppl who write threads with ai shouldn't be locked up for disorderly conduct (you can't)
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ashen
ashen@ashen_one·
ok ai bros need some help with my setups I currently have three machines that I'm going to be setting up tonight 1. Gaming Windows PC that I want to put an openclaw into 2. Mac Mini 48 GB that I'm going to put my main openclaw into 3. Mac Studio 98 GB that I want to run a local LLM on My goals are to 1000x my content output and to create an agentic system that can find problems, build apps for it, monetize them and then market them with AI-generated content Is the below the best method to do this with the best models?
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Woshvad
Woshvad@0xWoshvad·
Currently working on adding more pools, expect an update soon! Sentryield coded.
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SafZ
SafZ@CrypSaf·
Alright, big update here 🦞 Been NOT SLEEPING lately This is actually crazy. If you're not doing this already ... I genuinely don’t know what you’re doing. You thought I was exaggerating when I said I went full mad scientist mode? Yeah. I run a pixel-art RPG empire now 🏰 Here’s the system: 👉 SafZ (me) → Safio (operator) → 9 skill agents. 👉 Safio = Chief Strategy & Ops Safio has two modes: 🧠 Strategy Mode (Opus 4.6) → thinking, architecture, decisions ⚡ Execution Mode (Kimi K2.5) → drafting, building, moving fast Mode switches based on task. No token waste. No overkill. Then comes the crew: Grunter (GLM-5) → Bulk work. Scraping. Repetitive ops. Cheap muscle. Deep Dive (Research Analyst) → Deep & serious analysis from X, web, or Reddit Speeder (Gemini Flash) → Heartbeats. Status checks only. Lead Dev (Opus 4.6 CLI) → Heavy builds. Multi-file coding. Unlimited workhorse. Fixer (Codex 5.3) → Code reviews. Bug hunting. Quality control. Guard (Security Agent) → Audits. Risk checks. Compliance. Trader (Trading Agent) → Watches positions. Alerts. Monitors exposure. Hype Man (Social Manager) → Content. Scheduling. Engagement loops. Voice (Brand Agent) → Tone checks. Consistency. No personality drift. How it works: 1. I define the goal. 2. Safio decides: think or execute. 3. Task gets routed to the right specialist. 4. Output comes back. 5. I make the final call. Every tool = one skill. No generalists. Before: - One AI. Wrong tool for job. Burn tokens. Slow. After: - Specialist per task. Optimized cost. 3x faster. Grunt work → cheap model. Deep reasoning → expensive model (sparingly). Quick checks → fastest model. The rule is simple: - Route ruthlessly. - Stop using Claude for heartbeat checks. - Stop using Flash for architecture. - Use every tool in its correct lane. I’m not fully done yet, still optimizing. - Testing DeepSeek. Testing other models. - Cutting latency. Cutting cost. Increasing leverage. If you want the full structure + routing prompt I use, Reach out. Build your own crew. It's hella fun & usefull trust me 💜
SafZ tweet media
SafZ@CrypSaf

Went full mad scientist on OpenClaw Gave it more memory, more skills, more power It literally feels like raising a kid with ADHD and an infinite toolbox I’m already automating my entire life If you’re not in yet, idk what you're waiting for.

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Bensage
Bensage@bensage·
@CrypSaf Take a speed rail to your DMs Chad.
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