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Watch me ape Pump.fun coins using my BRAINWAVES using only an EEG headset. We entered Colosseum to build an AI interface that is HANDS-FREE and today we go back to the trenches with the NeuroSnipe demo! BONUS: watch until the end for a sneak peek of the NeuroType interface!

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BioLLM

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12,818 görüntüleme • 29 gün önce •via X (Twitter)

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LAUNCHING SOON! Here is the sneak peek of me using BioLLM to trade Perps with my BRAIN using Phoenix SDK on Solana 1.) Trained BioLLM on Neurons 2.) Simulated the brain using a PATENT PENDING method 3.) Tuned an EEG to work like a computer mouse Are you ready? Lock in.
2:58

LAUNCHING SOON! Here is the sneak peek of me using BioLLM to trade Perps with my BRAIN using Phoenix SDK on Solana 1.) Trained BioLLM on Neurons 2.) Simulated the brain using a PATENT PENDING method 3.) Tuned an EEG to work like a computer mouse Are you ready? Lock in.

BioLLM

71,287 görüntüleme • 1 ay önce

Nimo Infinity 🎉 - Introducing a New AI Browser, Purpose-Built for Productivity. One Canvas for All Your AI Apps and Agents. Nimo We were totally broke in 2024, but we didn’t want to give up. We built Nimo Infinity to rethink the interface for AI. Beautiful design, one canvas for all your apps, and built-in memory and context, all deeply focused on productivity. Comment ‘Nimo Infinity’ 👇 below to get early access with 100 free tasks. Our mission is to build an entirely new AI OS that is secure, intelligent, and interactive. Today, we are taking the first step with an AI Browser. We’ve spent the last 7 years working on Nimo Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI.
0:56

Nimo Infinity 🎉 - Introducing a New AI Browser, Purpose-Built for Productivity. One Canvas for All Your AI Apps and Agents. Nimo We were totally broke in 2024, but we didn’t want to give up. We built Nimo Infinity to rethink the interface for AI. Beautiful design, one canvas for all your apps, and built-in memory and context, all deeply focused on productivity. Comment ‘Nimo Infinity’ 👇 below to get early access with 100 free tasks. Our mission is to build an entirely new AI OS that is secure, intelligent, and interactive. Today, we are taking the first step with an AI Browser. We’ve spent the last 7 years working on Nimo Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI.

rohildev

27,345 görüntüleme • 1 yıl önce

We just got backed by a16z a16z speedrun 🧊. We believe the next interface is natural language. We call it the Language User Interface (LUI) An interface that talks to your APIs, understands your product, and lets users get work done with natural language (thread below)
2:29

We just got backed by a16z a16z speedrun 🧊. We believe the next interface is natural language. We call it the Language User Interface (LUI) An interface that talks to your APIs, understands your product, and lets users get work done with natural language (thread below)

jai

135,731 görüntüleme • 11 ay önce

RFK JR: We are using AI with the help of Elon actually to go out and detect that fraud and to end it
0:39

RFK JR: We are using AI with the help of Elon actually to go out and detect that fraud and to end it

Acyn

68,060 görüntüleme • 1 yıl önce

MindTrade - Intro Video #1 Turn up the volume and dive into MindTrade UI. In this demo we give an overview of the Canvas, a drag and drop interface to build your workflows, as well as the Dashboard: the starting point of your trading journey. The next video will introduce you to the chat features that will allow you to prototype your automations using natural language. Think. Tell. Trade. #mindlang $MND
1:52

MindTrade - Intro Video #1 Turn up the volume and dive into MindTrade UI. In this demo we give an overview of the Canvas, a drag and drop interface to build your workflows, as well as the Dashboard: the starting point of your trading journey. The next video will introduce you to the chat features that will allow you to prototype your automations using natural language. Think. Tell. Trade. #mindlang $MND

Mind

41,976 görüntüleme • 2 yıl önce

Here is my Insta360 reframe timelapse of the tornadoes and supercell west of Littlefield, TX yesterday. Watch until the end for the surprise hidden back in the rain. We tracked this monster storm down using the RadarOmega app.
1:03

Here is my Insta360 reframe timelapse of the tornadoes and supercell west of Littlefield, TX yesterday. Watch until the end for the surprise hidden back in the rain. We tracked this monster storm down using the RadarOmega app.

Arizona Jack

16,441 görüntüleme • 1 yıl önce

😂😂😂3rd Day of cooking an album using AI. This is a chilled Friday Jam. I really need to get some audio interface because the ventilator is distorting my recording😭. For now 👇
3:17

😂😂😂3rd Day of cooking an album using AI. This is a chilled Friday Jam. I really need to get some audio interface because the ventilator is distorting my recording😭. For now 👇

ツ Lord Ori

20,324 görüntüleme • 4 ay önce

The first AI crypto app that trades for you — live today on Google Play. blai is “Chat to Trade” → research, build a portfolio, and execute in one prompt. The old crypto UX is obsolete. Starting today, AI is the interface. Only on blai.
0:35

The first AI crypto app that trades for you — live today on Google Play. blai is “Chat to Trade” → research, build a portfolio, and execute in one prompt. The old crypto UX is obsolete. Starting today, AI is the interface. Only on blai.

blai

32,336 görüntüleme • 8 ay önce

LEX V2 — part 2 of 5 Introducing the world's most powerful interface for using AI to edit text
0:45

LEX V2 — part 2 of 5 Introducing the world's most powerful interface for using AI to edit text

Nathan Baschez

25,806 görüntüleme • 1 yıl önce

The “everything palette” has been in the back of my mind for years. I feel that, when correctly automated, it demonstrates an important property of a GUI system, which is an internal interface represented structurally (a common substrate by which all higher level interfaces communicate), and several projections of that interface to higher level interfaces (GUIs, CLIs, hotkeys), such that the internal interface is not substantially duplicated in the projections themselves. Thus, small changes in the internal interface representation immediately and automatically reflect in all such projections. All information for a new setting, for example, is simply expressed in one location, and all interfaces which could access that setting immediately can do so. That setting is automatically accessible in the associated right-click menus, the CLI, hotkeys, and the everything palette. This is because those higher level interfaces are truly *projections* of the underlying interface—they are driven using, in effect, type information of the underlying interface, rather than being special cased to the particulars of the interface (and thus needing to be extensively updated any time the internal interface is changed). The need for this in UI programming is usually first encountered with hotkeys. You write some user interface, and now you need to associate hotkeys—an entirely separate (physical) interface—with the same functionality that your software user interface exposes. You can implement this by, in effect, duplicating the internal interface in both a hotkeys path, and a GUI path. But this is far from ideal for obvious reasons. The debugger by nature enforces this design constraint (GUIs and hotkeys), along with many others, and so it pushed me to follow this to its natural conclusion. A debugger needs to offer an IPC CLI interface for the same commands and features that the main program does. Data in the debugger is already projected in a wide variety of ways—breakpoints can show up in a source view, a disassembly view, a memory view, and a breakpoints list view. My work on the RADDBG visualization engine (driven ultimately by the “watch window” interface—at its limit, a general sparse tree viewer/editor) pushed this even further—you want interfaces to be available through a watch tree evaluation language, as well as several GUIs, and the CLI, and hotkeys. I’ve now finally got the internal systems to the point where they are roughly satisfying all these constraints, and this made the “everything palette” a very simple and natural extension to the system.
0:49

The “everything palette” has been in the back of my mind for years. I feel that, when correctly automated, it demonstrates an important property of a GUI system, which is an internal interface represented structurally (a common substrate by which all higher level interfaces communicate), and several projections of that interface to higher level interfaces (GUIs, CLIs, hotkeys), such that the internal interface is not substantially duplicated in the projections themselves. Thus, small changes in the internal interface representation immediately and automatically reflect in all such projections. All information for a new setting, for example, is simply expressed in one location, and all interfaces which could access that setting immediately can do so. That setting is automatically accessible in the associated right-click menus, the CLI, hotkeys, and the everything palette. This is because those higher level interfaces are truly *projections* of the underlying interface—they are driven using, in effect, type information of the underlying interface, rather than being special cased to the particulars of the interface (and thus needing to be extensively updated any time the internal interface is changed). The need for this in UI programming is usually first encountered with hotkeys. You write some user interface, and now you need to associate hotkeys—an entirely separate (physical) interface—with the same functionality that your software user interface exposes. You can implement this by, in effect, duplicating the internal interface in both a hotkeys path, and a GUI path. But this is far from ideal for obvious reasons. The debugger by nature enforces this design constraint (GUIs and hotkeys), along with many others, and so it pushed me to follow this to its natural conclusion. A debugger needs to offer an IPC CLI interface for the same commands and features that the main program does. Data in the debugger is already projected in a wide variety of ways—breakpoints can show up in a source view, a disassembly view, a memory view, and a breakpoints list view. My work on the RADDBG visualization engine (driven ultimately by the “watch window” interface—at its limit, a general sparse tree viewer/editor) pushed this even further—you want interfaces to be available through a watch tree evaluation language, as well as several GUIs, and the CLI, and hotkeys. I’ve now finally got the internal systems to the point where they are roughly satisfying all these constraints, and this made the “everything palette” a very simple and natural extension to the system.

Ryan Fleury

22,249 görüntüleme • 1 yıl önce

Nimo Infinity - Introducing the World’s First AI Browser for Productivity. Nimo We’re reinventing the GUI for AI. As Andrej Karpathy recently pointed out at Y Combinator AI Startup School, the GUI for AI hasn’t been invented yet. We filed a patent back in 2017 for an intelligent GUI for smartphones, but the technology wasn’t ready at the time. Since AI became real, all those ideas came rushing back. We started building Nimo Infinity over the past few months, thinking differently to design a rich, functional interface for all your AI Apps and Agents in a single canvas, with a deep focus on productivity. Our mission is to build an entirely new AI OS that is secure, transparent, and interactive. Today, we are taking the first step with an AI Browser. Key Highlights: 1. An Infinite Canvas for all your AI Apps & Agents 2. Memory and Context 3. Custom Chromium Engine We’ve spent the last 7 years working on Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI. #AI #AIBrowser #GUI
0:54

Nimo Infinity - Introducing the World’s First AI Browser for Productivity. Nimo We’re reinventing the GUI for AI. As Andrej Karpathy recently pointed out at Y Combinator AI Startup School, the GUI for AI hasn’t been invented yet. We filed a patent back in 2017 for an intelligent GUI for smartphones, but the technology wasn’t ready at the time. Since AI became real, all those ideas came rushing back. We started building Nimo Infinity over the past few months, thinking differently to design a rich, functional interface for all your AI Apps and Agents in a single canvas, with a deep focus on productivity. Our mission is to build an entirely new AI OS that is secure, transparent, and interactive. Today, we are taking the first step with an AI Browser. Key Highlights: 1. An Infinite Canvas for all your AI Apps & Agents 2. Memory and Context 3. Custom Chromium Engine We’ve spent the last 7 years working on Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI. #AI #AIBrowser #GUI

rohildev

27,673 görüntüleme • 1 yıl önce

Hear me out, the Revolution will need this: an explorable chat interface that facilitates end-to-end encrypted peer-to-peer conversation by simply exchanging public keys and a handshake. That's how we beat them, with Math.
0:30

Hear me out, the Revolution will need this: an explorable chat interface that facilitates end-to-end encrypted peer-to-peer conversation by simply exchanging public keys and a handshake. That's how we beat them, with Math.

Samuel Timbó

43,043 görüntüleme • 6 ay önce

Would be interesting to go back to the 90s and tell myself all the normal things we do today and watch myself look at me and call me an idiot for it...
1:36

Would be interesting to go back to the 90s and tell myself all the normal things we do today and watch myself look at me and call me an idiot for it...

฿₳₮₮ⱠɆ ฿ɎⱤĐ

14,740 görüntüleme • 29 gün önce

Meta Platforms announced a new standalone AI assistant and an application programming interface in a bid to woo businesses to more easily build AI products using its Llama artificial-intelligence models
1:23

Meta Platforms announced a new standalone AI assistant and an application programming interface in a bid to woo businesses to more easily build AI products using its Llama artificial-intelligence models

Reuters

20,518 görüntüleme • 1 yıl önce

One of my top priorities at Abstract currently is improving the dev experience of using AI tools to build on Abstract. I'm convinced that the future of dev rel is about optimizing for AI. Here is a demo of me one-shot prompting an Abstract Global Wallet integration in Cursor:
0:49

One of my top priorities at Abstract currently is improving the dev experience of using AI tools to build on Abstract. I'm convinced that the future of dev rel is about optimizing for AI. Here is a demo of me one-shot prompting an Abstract Global Wallet integration in Cursor:

Jarrod Watts

19,900 görüntüleme • 1 yıl önce

Airbnb CEO Brian Chesky says the chatbot is a "pre-AI interface," rather than the end-state interface for artificial intelligence: "We're in the MS-DOS phase of AI." "The future AI interface will have a reference to chat, but it's probably going to be much more visual. Most people aren't completely text-based." "The chatbot is really a pre-AI interface that we've plugged onto this incredibly powerful engine." "I really think the models are even more powerful than people realize, because we have hardly harnessed them."
1:22

Airbnb CEO Brian Chesky says the chatbot is a "pre-AI interface," rather than the end-state interface for artificial intelligence: "We're in the MS-DOS phase of AI." "The future AI interface will have a reference to chat, but it's probably going to be much more visual. Most people aren't completely text-based." "The chatbot is really a pre-AI interface that we've plugged onto this incredibly powerful engine." "I really think the models are even more powerful than people realize, because we have hardly harnessed them."

TBPN

149,126 görüntüleme • 5 ay önce

My friend TiagoSC came with idea to perform 3 active layers on #megadrive To ilustrate his idea we make an small demo using #DonkeyKongCountry from #snes You can watch the entire vídeo using the link on the first comment, I hope thats you like
0:21

My friend TiagoSC came with idea to perform 3 active layers on #megadrive To ilustrate his idea we make an small demo using #DonkeyKongCountry from #snes You can watch the entire vídeo using the link on the first comment, I hope thats you like

Pyron

17,436 görüntüleme • 8 ay önce

I now see why artist are crying because of Music production using AI. I only need an Audio interface/ Sound card (For Clean Output & Mixing) here and create a YouTube channel for Lo-Fi and Bass covers… I created the instrumentals using AI🤣🤦🏿‍♂️
0:45

I now see why artist are crying because of Music production using AI. I only need an Audio interface/ Sound card (For Clean Output & Mixing) here and create a YouTube channel for Lo-Fi and Bass covers… I created the instrumentals using AI🤣🤦🏿‍♂️

ツ Lord Ori

35,676 görüntüleme • 4 ay önce

This is the future of UI. I built an AI chat that changes its own visual shape and form as you talk. The AI invents the perfect user interface to fulfill your needs and guide you to the desired result. Try for free.
0:26

This is the future of UI. I built an AI chat that changes its own visual shape and form as you talk. The AI invents the perfect user interface to fulfill your needs and guide you to the desired result. Try for free.

Florian S

158,000 görüntüleme • 1 yıl önce