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Promise

@PromiseGameFi

Katılım Ocak 2021
954 Takip Edilen3.5K Takipçiler
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Promise
Promise@PromiseGameFi·
I will build products that will thrive in the global market.
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Jonald
Jonald@JonCohenBR1·
hear me out: web4 gaming.
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Jonald
Jonald@JonCohenBR1·
who is building in the gai industry? (gaming & ai)
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定
@de3dsoul·
Old games feel different
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Q
Q@quionie·
i think i’m about to do something completely out of character close my laptop and get 8 hours of sleep tonight
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Leon Abboud
Leon Abboud@leonabboud·
It’s been 2 months since InfoFi was banned. How has CT actually changed?
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Om Patel
Om Patel@om_patel5·
this guy vibe coded a wallpaper that shifts perspective when you move your head uses your webcam to track your position. move any direction and the background moves with you
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Promise
Promise@PromiseGameFi·
@iamveektoria_ You shouldn’t be looking for a best, research on what works best for you area of expertise.
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Iamveektoria.base.eth 🙂‍↔️🌳 ✠
What’s the best AI tool globally? → ChatGPT → Claude → Gemini → Microsoft Copilot → Midjourney → Perplexity Drop your pick 🙂‍↔️
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Promise
Promise@PromiseGameFi·
@2sush I have no comments 😂
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sush
sush@2sush·
Nvidia CEO sets a $250K token benchmark for top engineers. So now your salary depends on how many tokens you can think in 😅 i guess it’s time to start counting tokens like calories. Soon interviews be like “Tell me abt yourself… in under 500 tokens.”
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SΛGΞWHΛLΞ.HL✦
SΛGΞWHΛLΞ.HL✦@SageWhale·
Hyperliquid just became the most profitable chain on the planet in the last 24 hours hyperliquid generated more fees than ethereum, solana, bitcoin and BNB chain combined With just 11 employees, no VCs or marketing
SΛGΞWHΛLΞ.HL✦ tweet media
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Promise
Promise@PromiseGameFi·
Distributing mobile applications is now more difficult than it used to be, A very big drawback for models deployed on edge devices.
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Altcoin Daily
Altcoin Daily@AltcoinDaily·
BREAKING: Tom Lee turns to Jesus as Ethereum crash continues.
Altcoin Daily tweet mediaAltcoin Daily tweet media
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Promise
Promise@PromiseGameFi·
Composer 2 is RL coding task on top of Kimi 2.5. What was the cursor team thinking?? People won’t figure out??
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Promise
Promise@PromiseGameFi·
@RoundtableSpace The bottleneck is what powers it? Did you even check the post before posting?
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
Someone vibe coded a Unity fishing game using Cursor - Game mechanics were fast - Unity's editor slows the agent down - Godot is cleaner for vibe coding but lacks asset marketplace The verdict: AI can build games but bottleneck is engine, not the model
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Vadim
Vadim@VadimStrizheus·
Backend developers just got replaced.
Google AI@GoogleAI

We’re launching a brand new, full-stack vibe coding experience in @GoogleAIStudio, made possible by integrations with the @Antigravity coding agent and @Firebase backends. This unlocks: — Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio — Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you — A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere — Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with @GoogleMaps 🕹️

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Alex
Alex@AlexOnchain·
tf is this new update?
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Kritika
Kritika@kritikakodes·
I am a Vibe coder, scare me with one word.🤔
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Promise
Promise@PromiseGameFi·
I find the Joint Embedding Predictive Architecture (JEPA) approach to be a promising path toward more efficient models with fewer hallucinations. My prediction is that most labs will begin to shift toward this approach in the long run. Standard generative models use an excessive amount of compute to predict raw data, whereas JEPA can reduce hardware costs. This makes it a win-win situation for both companies and users.
Promise tweet media
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