renderedculture

RC

[Hugging Models @HuggingModels]

A new open-source UI to train and run LLMs.

• Local on Mac, Windows, Linux
• 500+ models, 2x faster, 70% less VRAM
• GGUF, vision, audio, embeddings
• Build datasets from PDF, CSV, DOCX
• Self-healing tool calling + code execution
• Compare models + export to GGUF

GitHub: https://t.co/7eZKYYlxIy…
Docs: https://t.co/aiEDPFoKmN

Now on Hugging Face, NVIDIA, Docker, Colab

[程序猿DD @CoderDD]

推荐 OpenRouter 上目前两个比较好用的 Free 模型和路由：

1. arcee-ai/trinity-large-preview:free，Arcee 的最新开源大语言模型，采用 400B 参数的稀疏混合专家架构，每 token 仅激活 13B 参数。该模型在创意写作、故事创作、角色扮演、智���聊天及实时语音助手等场景表现出色，推理能力也优于常规模型。

2. openrouter/free，这是一个路由，它会从 OpenRouter 上可用的模型中随机选择免费模型。该路由会智能筛选出支持您请求所需功能的模型，例如图像理解、工具调用、结构化输出等。

[renderedculture @renderedculture]

@SimslearnAi HK

[renderedculture @renderedculture]

@JulianGoldieSEO STEAL

[renderedculture @renderedculture]

@thegoldeenhand Eleven

[nader dabit @dabit3]

We need more apps, but how do we get there?

By making it easier for developers to build + ship unique and successful apps.

Give the 28.7 million software developers in the world the properties of blockchains without the constraints.

Here's EigenCloud explained in 3 minutes.

[Exodus @exodus]

The first U.S. public company common stock token is going multichain.

Now, we’re expanding $EXOD to Solana (with Ethereum next). Powered by @superstatefunds Opening Bell.

[Pantera Capital @PanteraCapital]

"In 2025, tokenization crossed from concept into inevitability."

Fintechs are building their own chains. Corporates are issuing directly onchain. The Great Onchain Migration is underway.

@FranklinBi unpacks it all — and reveals a deeper shift unfolding: https://t.co/5ThBH0yFli

[Eli5DeFi @Eli5defi]

➥ The Triumvirate of AgenticFi

In recent months, AI has increasingly merged with crypto, especially in DeFi.

While DeFi 1.0 laid the groundwork, DeFi 2.0, or AgenticFi, focuses on execution and user interface, aiming to onboard billions with AI superintelligence.

Today, we will compare three AgenticFi protocols:

➤ @TheoriqAI
➤ @Infinit_Labs
➤ @HeyAnonai

These protocols share similarities but differ in execution and maturity. Let's explore them 🧵

...

— Theoriq - $THQ (Not Live)

Theoriq is a decentralized protocol designed for AI agent swarms, enabling autonomous DeFi strategies, liquidity optimization, and multi-agent collaboration through AlphaSwarm.

It features self-organizing, trust-minimized agents equipped with reputation scoring and on-chain autonomy, leveraging blockchain-integrated technologies like reinforcement learning. Theoriq primarily targets DeFi developers and liquidity providers.

Theoriq secured $10 million in total funding from notable backers such as @hack_vc, @IOSGVC, and @ForesightVen, among others. They also recently launched the THQ public sale on @KaitoAI, which was ~39 times oversubscribed.

...

— Infinit - $IN (Not Live)

Infinit offers an AI-driven DeFi platform featuring one-click strategies, yield farming, and cross-chain automation through agent swarms and a strategy marketplace.

Its modular, permissionless design allows users to monetize their expertise through royalties, using TypeScript contracts, zkML, and ERC-4337. The platform targets DeFi developers and strategy creators.

Infinit has secured a total of $6M in funding from @ElectricCapital, @MaelstromFund, @mirana, and others.

...

— HeyAnon - $ANON (Live)

HeyAnon streamlines DeFi by using natural language commands, gathering data from social platforms to facilitate automated trades, portfolio insights, and memecoin monitoring via its HUD dashboard.

Its crypto-native NLP connects CeFi and DeFi, offering real-time sentiment tracking and institutional tools, seamlessly integrated across over 30 protocols. HeyAnon targets retail traders and meme trader degens.

Led by the legendary DeFi figure @danielesesta, HeyAnon deviates from traditional VC funding, instead receiving strategic investment from @DWFLabs and @SonicLabs.

...

— Wrap-Up (NFA+DYOR)

While the three protocols may initially seem similar, they differ significantly in terms of target users and functionalities.

Theoriq is crafted for agent swarms executing autonomous on-chain actions. Infinit emphasizes modular strategy automation, while HeyAnon focuses on simplifying natural language for trading.

This convergence propels DeFi forward by democratizing access; making it more intelligent, autonomous, and efficient.

Through AI-driven liquidity management, predictive strategies, and seamless interfaces, these protocols minimize human error, enhance capital efficiency, and scale operations to institutional levels.

Ultimately, they transform DeFi from a manual system into a self-optimizing, intent-based financial network.

...

[Jake Brukhman @jbrukh]

It’s becoming more and more probable that decentralized AI networks are going to cream Big Tech companies on AI production.

Seems contrarian, I know. But 18 months ago all the AI experts were saying there is nothing to be done about the communication bandwidth bottleneck. That view has now been completely invalidated by Pluralis: we can train on commodity hardware, on consumer devices. GenSyn models, trained by a decentralized RL swarm, is top 3 on HuggingFace. Prime Intellect is heading for massive post-training runs.

It is well known that Big Tech’s proprietary approach slows down innovation. The beauty of web3 is we can move faster with open source research *and* monetize it effectively on decentralized networks.

Big Tech doesn’t completely compete on intelligent models. They are actually competing on dominating and locking in the customer. They do this through good UX and integrations.

But when the deAI stack starts competing at the consumer level as well, customers will have an interesting choice: put my data into this exploitative corporation, or take the privacy preserving (or at least open source) alternative.

If deAI stacks start siphoning off customers, I would be selling Big Tech stock. The big cos will eventually not be able to monetize the progress as fast as open networks.

We have seen web3 networks aggregate a lot of compute. We are going to see them train a large model on that compute soon. But there are also 11 other scaling dimensions on which deAI stacks will compete.

May the best AI models win!

[Dreamware AI @DreamwareAI]

1/
🎥 Turbocharge Your AI Film Career with a
Creator Coin on Dreamware

Fund your vision. Grow your community. Keep full creative control.

#aifilm #aivideo #aimovie #googleveo3 #midjourneyv7 #topaz #seedance #GenerativeAI

[Sumanth @Sumanth_077]

Build dynamic memory for AI Agents in just 5 lines of code!

Cognee let's you build memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.

100% Open Source

[renderedculture @renderedculture]

@NoahEpstein_ Shots

[renderedculture @renderedculture]

@VibeMarketer_ Claude

[renderedculture @renderedculture]

@NoahEpstein_ Shots

[Ryan Hart @thisdudelikesAI]

@kortix made something called Suna

Most AI today are like smart chat helpers.

Suna is a General AI Agent.

It can think, remember, and do things in different places.

You tell it what to do, and it does it.

[renderedculture @renderedculture]

https://t.co/cVVS6Vza3B #twice #kpop

[TWICE @JYPETWICE]

TWICE 4TH FULL ALBUM

INTRO: FOUR

JUL 2025

❤YouTube: https://t.co/V4mQDaUeUc
💚NAVER TV: https://t.co/MDO5tY6GSZ

#TWICE #트와이스

[Avi Chawla @_avichawla]

A drag-and-drop visual tool to build AI agents.

Langflow lets you build and deploy AI-powered agents and workflows. Supports all major LLMs, vector DBs, etc.

100% open-source with 61k+ stars!

[renderedculture @renderedculture]

@haider__anis Send