KikloSeFF

Airdrop HUNTER 🪂 l $DeFI I $DEPIN I $GameFI I Crypto Investor I
Follow me for more insights of Airdrops 🪂 Crypto Projects! $BTC

[KikloSeFF @kikloseFF]

#airdrop free and easy, Follow the steps of the image and use my code 9pzdp to WON extra points.

🔗Link download extension: https://t.co/NWgElcGppF

Tip: Join the Discord to pick up roles and interact with #Teneo's post to be eligible and earn exclusive benefits at each level.

[Josh Woodward @joshwoodward]

University student plans are back!

We've gone global with this one. Over 140 countries will get higher limits, more storage, and new features like our dedicated student hub. It also comes with Notebook, Flow, and more. Sign up today ⬇️

[KikloSeFF @kikloseFF]

@MortalShellGame Hi guys i'm playng the beta on steam but i would like to buy on GOG, launch there too!

[Pirat_Nation 🔴 @Pirat_Nation]

GOG has officially confirmed that GOG Galaxy is coming to Linux.

The company has hired a dedicated Linux developer and is actively working on the launcher, there’s no release date or timeline yet.

Linux users have relied on third-party launchers or compatibility tools to access their GOG libraries. An official launcher should make things much easier with features like:

-Native game downloads and updates
-Cloud saves
-Achievement syncing
-Friend lists and social features
-Better support for Linux and devices like the Steam Deck

[GOG.COM @GOGcom]

Digital or physical, ownership is autonomy. If you don't have it, you don't have ownership.

[Julian Goldie SEO @JulianGoldieSEO]

Kimi K3 is a free AI that can read 750,000 words at once.

It dropped July 16th. It's now the biggest open model in the world.

Everyone is talking about the paid versions.

Almost nobody knows the free door is wide open:

→ Free account at https://t.co/EljZZ8tcos runs the REAL model. Not a lite version.

→ 1 million token memory. 4x bigger than the old one.

→ Reads images too. Drop in screenshots next to your text.

→ Full model opens to the public July 27th.

The trick: don't feed it small bits like a normal chat.

Dump in EVERYTHING at once. Then ask your question.

It stops guessing and starts connecting.

Save this. Try it tonight.

[GOG.COM @GOGcom]

Download the offline installer of any of your games on GOG, save it to a disc and it's yours forever.

You don't need a storefront's permission to play what you bought.

[GOG.COM @GOGcom]

Even if a game vanishes from the GOG storefront, it never leaves your library.

Exactly as digital ownership ought to be.

[Akshay 🚀 @akshay_pachaar]

An open agent skills ecosystem:

(85,000+ skills and growing)
https://t.co/3x6EM3Uwv7

[Akshay 🚀 @akshay_pachaar]

MCP vs. Skills for AI agents, clearly explained!

People treat MCP and Skills like they're the same thing.

They're not.

Conflating them is one of the most common mistakes I see when people start building AI agents seriously.

So let's break both down from scratch.

Before MCP existed, connecting an AI model to an external tool meant writing custom integration code every single time. 10 models, 100 tools? That's 1,000 unique connectors to build and maintain. The AI tooling ecosystem was a tangled mess of one-off glue code.

MCP (Model Context Protocol) fixes this with a shared communication standard.

Every tool becomes a "server" that exposes what it can do. Every AI agent becomes a "client" that knows how to ask. They talk through structured JSON messages over a clean, well-defined interface.

Build a GitHub MCP server once, and it works with Claude, ChatGPT, Cursor, or any other agent that speaks MCP. That's the core value: write the integration once, use it everywhere.

But here's where most explanations stop short.

MCP solves the *connection* problem. It does not solve the *usage* problem.

You can hand an agent 50 perfectly wired MCP tools and it'll still underperform if it doesn't know when to call which tool, in what order, and with what context.

That's the gap Skills fill.

A Skill is a portable bundle of procedural knowledge. Think of a SKILL. md file that tells an agent not just "here are your tools" but "here's how to use them for this specific task." A writing skill bundles tone guidelines and output templates. A code review skill bundles patterns to check and rules to follow.

MCP gives the agent hands. Skills give it muscle memory.

Together, they form the full capability stack for a production AI agent:

- MCP handles tool connectivity (the wiring layer)
- Skills handle task execution (the knowledge layer)
- The agent orchestrates both using its context and reasoning

This is why advanced agent setups increasingly ship both: MCP servers for integrations and SKILL. md files for domain expertise.

If you're building with agents, I have shared a repository of 85k+ skills that you can use with any agent, link in the next tweet!

[Viktor Oddy @viktoroddy]

This was entirely built using AI Gemini 3.1 Pro in Antigravity

❤️‍🔥These pages designs looks esthetic and informative. Low AI slop factor.

Here’s the exact prompt I used ↓

[KikloSeFF @kikloseFF]

IA is the future, the proof is #ChatGPT 5.4 awsome.

[Flowers ☾ @flowersslop]

I was wondering if Codex 5.3 is capable of making a mod for RDR2 from scratch, but then I was like naah thats asking for too much. Making a working mod for a triple A game is super complex, you need to understand the mechanics, how stuff spawns and interacts, how to inject it without errors, collisions, all that.

Anyway forget it. I pointed Codex 5.3 at my RDR2 game directory, told it I have absolutely no idea how to start modding but I want a mod that spawns more Arthurs to follow me and protect me.

It analyzed the files, did whatever it did, I started the game not very confident because modding is fragile and always fucks stuff up, and im not really a gamer, I just bought RDR2 once because people said its beautiful.

But yeah. It just worked.

One shot.

[WLFI @worldlibertyfi]

A lot of exciting announcements are coming around the WLFI ecosystem and the continued growth of USD1.
Stay tuned and pay attention there’s a lot ahead. 🦅 ☝️

[KikloSeFF @kikloseFF]

@teneo_protocol earning points in teneo is so satisfied

[Teneo Protocol @teneo_protocol]

There are two worlds inside Teneo Protocol.
Here's a quick reminder:

• Sub-Agent (your extension)
Runs locally, performs AIR tasks, and earns Teneo Points for your participation.

• Agent (built by developers)
Lives inside the Chat Room, responds to requests, and will be monetizable through the upcoming payment flow.

All part of the same decentralized intelligence layer.

Sub-Agent = earn Teneo Points
Agent = get paid for each data request

[KikloSeFF @kikloseFF]

@Build_Vertical @PerceptronNTWK let's see what happend

[Vertical AI @Build_Vertical]

Vertical 🤝 Perceptron

We're excited to introduce @PerceptronNTWK as one of our verified partners ⚡️

Perceptron Network is a decentralized network of 700K+ user-run nodes

They share bandwidth to gather micro-packets of information from across the globe

All combined into vast, high-quality datasets

This partnership is a two-way bridge:

Vertical AI users can tap into Perceptron’s crowdsourced datasets

They can do this whenever they need more high-quality data

In return, we can turn that data into real, production-ready agents and automations

Perceptron’s users can then build and run them on the Vertical AI stack

[KikloSeFF @kikloseFF]

@PerceptronNTWK @ActionModelAI Good partnership guys let`s improve the project together

[Perceptron Network @PerceptronNTWK]

⚫️ Perceptron x Action Model 🟣

We’re partnering with @ActionModelAI, the team building the first community owned Large Action Model. A fast growing ecosystem backed by leaders across NEAR, Arbitrum, Polkadot, Polygon, Uniswap and more.

Their AI can click, type, navigate and complete tasks across your computer or cloud. Trained by the people. Owned by the people.

This partnership aligns with one mission. AI powered by communities, not monopolies.

More coming soon.

[KikloSeFF @kikloseFF]

@teneo_protocol Using tecnology of teneo is good