Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

{beta feature alert} Onboard World-class Creators with Few Clicks ⚡️ In this demo, I have onboarded Elon Musk & Turtle (𝔦, 𝔦) to as my IP agent took inspiration from their characters (public data came from Grok). Later on, they will claim tokens via Twitter ID when user pay... show more

HYPE3.cool

1,997 subscribers

15,978 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie Bildung Finanzen

Anya Rossi• Live Now

Private livecam show

11 Kommentare

Profilbild von Turtle

Turtlevor 1 Jahr

@elonmusk I’m honored, $COOL-team. Me and @elonmusk in the same sentence. What a time to be alive! 😄

Profilbild von Sablier

Sabliervor 1 Jahr

Onchain token vesting, payroll, airdrops and grants all on the same platform. Start today 👇

Profilbild von TheRealSatoshi

TheRealSatoshivor 1 Jahr

@elonmusk @turtleonchain $COOL hitting another level

Profilbild von facu.sol

facu.solvor 1 Jahr

@elonmusk @turtleonchain 👀👀 beta soon $COOL

Profilbild von OZ 🎯

OZ 🎯vor 1 Jahr

@elonmusk @turtleonchain YAAAAAASSS $cool is coooooooool

Profilbild von raxoox 🌑

raxoox 🌑vor 1 Jahr

@elonmusk @turtleonchain Cool

Profilbild von Mindset 1%

Mindset 1%vor 1 Jahr

@elonmusk @turtleonchain $COOL

Profilbild von Wister

Wistervor 1 Jahr

@elonmusk @turtleonchain We are about to fly

Profilbild von Ry

Ryvor 1 Jahr

@elonmusk @turtleonchain Easy and smooth ! That's $COOL 😍

Profilbild von Erica Wertanen

Erica Wertanenvor 1 Jahr

@elonmusk @turtleonchain Ahhhhhmazing🔥

Profilbild von GROWtheFOREST 👑(KWEEN/ACC)

GROWtheFOREST 👑(KWEEN/ACC)vor 1 Jahr

@elonmusk @turtleonchain IP-FI is a HUGE narrative in the age of AI. And $COOL and their cracked Chinese DEVS are at the bleeding edge of it all.

Ähnliche Videos

CoolOS + Beta 1.1 at We unveiled in this update a complete flow of Agent 🤖 x Creator 🎨 economy, where IP creators like KOLs or celebrities can now be pre-funded with memecoins based on their Twitter ID, from user's agent creation. 💡 This is the first step towards jointing IPs and fans and AI models in a new agent token economy.

CoolOS + Beta 1.1 at We unveiled in this update a complete flow of Agent 🤖 x Creator 🎨 economy, where IP creators like KOLs or celebrities can now be pre-funded with memecoins based on their Twitter ID, from user's agent creation. 💡 This is the first step towards jointing IPs and fans and AI models in a new agent token economy.

HYPE3.cool

18,024 Aufrufe • vor 1 Jahr

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

Johnny

27,179 Aufrufe • vor 1 Jahr

Hey everyone, We will be launching our Musk AI Agent built on ai16zdao 's Eliza OS framework and trained on Elon Musk 's tweets, with the aim to showcase how AI Agents can be used to collect specialized data using conversations. 444 individuals who can convince the Musk AI Agent that they are worthy will recieve an exclusive whitelist spot for the OpenLedger NFT on their wallet address (shared by user in chat), which they can then use to claim the NFT from OpenSea We are showcasing a teaser video down below Stay tuned to get access! OpenSea collection link: Telegram Agent: Coming soon

Hey everyone, We will be launching our Musk AI Agent built on ai16zdao 's Eliza OS framework and trained on Elon Musk 's tweets, with the aim to showcase how AI Agents can be used to collect specialized data using conversations. 444 individuals who can convince the Musk AI Agent that they are worthy will recieve an exclusive whitelist spot for the OpenLedger NFT on their wallet address (shared by user in chat), which they can then use to claim the NFT from OpenSea We are showcasing a teaser video down below Stay tuned to get access! OpenSea collection link: Telegram Agent: Coming soon

OpenLedger

128,941 Aufrufe • vor 1 Jahr

Guys check out this latest tech token that just have today and is definitely flying under the radar! 🚀 Agent Alpha has been building in stealth mode for the past year. Their platform lets users deploy AI agents that gather trading alpha continuously, from Telegram, Dexscreener, X, wallet trackers, anything with visual input. Their agents analyze the data in real-time to give traders buy and sell recommendations based off the parameters the user inputs. 🔥 Agent Alpha is launching in the next week for DEX, with Telegram and X set to follow quickly behind. They have several high profile partnerships with other agentic projects in the coming weeks, where these projects will be using Agent Alpha to gather real-time data. They are the first product to launch using the framework created by LiftDataAI. 💎 Also coming soon is Agent Alpha's own extensible framework, which will enable advanced users to add new data sources to the platform and integrate their own tools for technical analysis. Advanced users will be able to deploy agents privately, or tokenize them and release them publicly. ⭐️ Agent Alpha will only be available to holders of the $AA ticker. ⚡️ 📈DexScreener - 🕊Twitter - 🌐website -

Pumpcoinbets - Crypto & NFT

75,322 Aufrufe • vor 1 Jahr

The Avatar scandal just went from bad to worse This is painful, and one of the greatest tragedies in animation history Overnight loss of control of over a decade of IP growth I am obsessed with the Avatar animation franchise & this is just painful to see. Because, based on what I have seen with these clips, the movie would have been mind-blowing! Marketing is messed up They've lost control of their IP, and also, I don't even know how they will recover from this If you are given the chance to watch the full movie, will you watch it now or still wait till October? Oh, and by the way, Aang >>> Korra.

Debayo 🌱

1,150,158 Aufrufe • vor 5 Monaten

As soon as you try to run 2 agents on the same data, everything breaks: • Agent 1 reads some data and starts working. • Two seconds later, Agent 2 changes that same data. This is a problem. Agents will waste tokens on stale data, overwrite each other's work, and redo tasks the other has already finished. You can't prompt your way out of this mess. Everything old in software engineering is new again. We need proper coordination when running multiple agents. Here is a good open-source solution for this: Omnigraph is a graph database for context assembly and multi-agent coordination. Here is how it works: • It sets one shared place where multiple agents will work from • Each agent gets their own copy of the data • Agents write their changes to their copy • When an agent is done, it merges its changes back Three huge benefits from this model: 1. We know it works. We've been doing this for decades already. 2. No more lost information or agents stepping on each other's toes. 3. You get a complete trail of which agent did what and when. I recorded a video to show you a bit more about this. Here is the link to the Omnigraph GitHub repository:

As soon as you try to run 2 agents on the same data, everything breaks: • Agent 1 reads some data and starts working. • Two seconds later, Agent 2 changes that same data. This is a problem. Agents will waste tokens on stale data, overwrite each other's work, and redo tasks the other has already finished. You can't prompt your way out of this mess. Everything old in software engineering is new again. We need proper coordination when running multiple agents. Here is a good open-source solution for this: Omnigraph is a graph database for context assembly and multi-agent coordination. Here is how it works: • It sets one shared place where multiple agents will work from • Each agent gets their own copy of the data • Agents write their changes to their copy • When an agent is done, it merges its changes back Three huge benefits from this model: 1. We know it works. We've been doing this for decades already. 2. No more lost information or agents stepping on each other's toes. 3. You get a complete trail of which agent did what and when. I recorded a video to show you a bit more about this. Here is the link to the Omnigraph GitHub repository:

Santiago

28,865 Aufrufe • vor 10 Tagen

LayerAI AI Agents Launchpool Beta Live: Solana's Next Major AI Ecosystem 🧬 LayerAI will allow anyone to enter the booming AI agent scene on Solana, pioneering two distinct launch strategies. The current leader of the agent market for Base, Virtuals, is valued at $3 billion. LayerAI brings the advanced AI agents to Solana. $LAI is positioned to capture the user activity through lock-ups in liquidity pools, AI agent trading fees - and subsequent $LAI deflation. With 16M LAI already removed from circulation via initial AI agent launches, the major products are coming after this beta release. - AI Agent Launchpool (comparable to Binance Launchpool stake-to-earn functions) - AI Agent Launch Platform (comparable to pumpfun launch functions) See the LayerAI AI Agent Ecosystem:

LayerAI AI Agents Launchpool Beta Live: Solana's Next Major AI Ecosystem 🧬 LayerAI will allow anyone to enter the booming AI agent scene on Solana, pioneering two distinct launch strategies. The current leader of the agent market for Base, Virtuals, is valued at $3 billion. LayerAI brings the advanced AI agents to Solana. $LAI is positioned to capture the user activity through lock-ups in liquidity pools, AI agent trading fees - and subsequent $LAI deflation. With 16M LAI already removed from circulation via initial AI agent launches, the major products are coming after this beta release. - AI Agent Launchpool (comparable to Binance Launchpool stake-to-earn functions) - AI Agent Launch Platform (comparable to pumpfun launch functions) See the LayerAI AI Agent Ecosystem:

LayerAI | AI2Earn

37,380 Aufrufe • vor 1 Jahr

CRYPTO AI INTERVIEW: NAPSTER MOMENT FOR WEB3? , co-founder of Story , dives into how blockchain revolutionizes intellectual property (IP) in the AI age with Buzz 巴斯光年 . From tokenizing IP to programmable assets, Jason explains why IP could be the next trillion-dollar asset class in blockchain—and how AI is forcing a "Napster Moment" for copyright. This conversation explores Story Protocol’s mission to bring IP on-chain, AI’s impact on IP markets, and the disruption of traditional systems. 0:44 – What is Story Protocol? Transforming IP into programmable assets. 2:10 – Jason’s Journey: From DeepMind to Blockchain Innovation. 3:35 – IP in AI: Why it’s critical in the AI era. 5:50 – Tokenizing IP: Bringing intellectual property on-chain. 8:10 – Blockchain for IP: A transparent global system. 10:15 – Story’s Vision: The foundation for Web3 IP. 12:00 – AI’s Impact: How AI reshapes IP needs. 14:00 – Partnerships: Collaborating with Stability AI. 15:30 – IP as Assets: Bridging IP with DeFi. 18:00 – AI Agents: Using Story for licensing. 20:05 – Future Markets: Building composable IP systems. 22:40 – Disrupting IP: Blockchain vs. traditional systems. 24:15 – More Valuable Than Data: IP’s role in AI innovation. 26:30 – A Napster Moment: Redefining IP for the AI era. 28:00 – What’s Next? Roadmap and mainnet launch.

CRYPTO AI INTERVIEW: NAPSTER MOMENT FOR WEB3? , co-founder of Story , dives into how blockchain revolutionizes intellectual property (IP) in the AI age with Buzz 巴斯光年 . From tokenizing IP to programmable assets, Jason explains why IP could be the next trillion-dollar asset class in blockchain—and how AI is forcing a "Napster Moment" for copyright. This conversation explores Story Protocol’s mission to bring IP on-chain, AI’s impact on IP markets, and the disruption of traditional systems. 0:44 – What is Story Protocol? Transforming IP into programmable assets. 2:10 – Jason’s Journey: From DeepMind to Blockchain Innovation. 3:35 – IP in AI: Why it’s critical in the AI era. 5:50 – Tokenizing IP: Bringing intellectual property on-chain. 8:10 – Blockchain for IP: A transparent global system. 10:15 – Story’s Vision: The foundation for Web3 IP. 12:00 – AI’s Impact: How AI reshapes IP needs. 14:00 – Partnerships: Collaborating with Stability AI. 15:30 – IP as Assets: Bridging IP with DeFi. 18:00 – AI Agents: Using Story for licensing. 20:05 – Future Markets: Building composable IP systems. 22:40 – Disrupting IP: Blockchain vs. traditional systems. 24:15 – More Valuable Than Data: IP’s role in AI innovation. 26:30 – A Napster Moment: Redefining IP for the AI era. 28:00 – What’s Next? Roadmap and mainnet launch.

Mario Nawfal

253,886 Aufrufe • vor 1 Jahr

Apple is releasing an update to Siri that will allow their AI agent to read every part of your phone This includes your messages, email, notes, files, photos, calendar, app content and more This is fully mass surveillance and data gathering, it’ll even have access to your health data and location history Just think it US Government had a back door into this Siri AI system, this isn’t something that’s unlikely. They had a backdoor into old Twitter and they have worked very closely with Apple in the past Siri even came from US government, from DARPA

Apple is releasing an update to Siri that will allow their AI agent to read every part of your phone This includes your messages, email, notes, files, photos, calendar, app content and more This is fully mass surveillance and data gathering, it’ll even have access to your health data and location history Just think it US Government had a back door into this Siri AI system, this isn’t something that’s unlikely. They had a backdoor into old Twitter and they have worked very closely with Apple in the past Siri even came from US government, from DARPA

Wall Street Apes

349,588 Aufrufe • vor 3 Monaten

In my CNBC interview, Jon Fortt asked what happens to SaaS in an AI-agent world. I’ll be bold: the way we work and interact with compute is about to change. We’re moving from apps to agents. From dashboards to prompts. From human workflows to autonomous orchestration. At HUMAIN , we’re building this now. HUMAIN OS (to be revealed at LEAP) and HUMAIN ONE reimagine the enterprise when AI agents become the primary interface. You can’t deploy agents and keep legacy processes. SaaS won’t disappear overnight, but many will become obsolete interfaces.

In my CNBC interview, Jon Fortt asked what happens to SaaS in an AI-agent world. I’ll be bold: the way we work and interact with compute is about to change. We’re moving from apps to agents. From dashboards to prompts. From human workflows to autonomous orchestration. At HUMAIN , we’re building this now. HUMAIN OS (to be revealed at LEAP) and HUMAIN ONE reimagine the enterprise when AI agents become the primary interface. You can’t deploy agents and keep legacy processes. SaaS won’t disappear overnight, but many will become obsolete interfaces.

Tareq Amin

16,199 Aufrufe • vor 7 Monaten

This is a 55 second video from Sgt. No-Fucking-Goode's bodycam when he was pulling out of the cemetery after getting my plates to ID me. Notice how shakey the footage is. I wasn't lying when I said he looked like he was on drugs. He took his bodycam off his chest to try and get my car as he drove by. They claim their is not other footage from when he went into the cemetery. I have the dashcam footage and his bodycam when I confronted him in Canton Police department. I won my appeal on the reductions applied to the Colin and Chris bodycam footage and they have 8 business days to respond. They also claimed exemptions on the footage from the station and I have to contact CJIS to get the information from Goode running my plates. I have been busy the last couple weeks and will post updates tomorrow with all this information. I hope to be in the Dedham, Canton and Stoughton area in the upcoming weeks.

This is a 55 second video from Sgt. No-Fucking-Goode's bodycam when he was pulling out of the cemetery after getting my plates to ID me. Notice how shakey the footage is. I wasn't lying when I said he looked like he was on drugs. He took his bodycam off his chest to try and get my car as he drove by. They claim their is not other footage from when he went into the cemetery. I have the dashcam footage and his bodycam when I confronted him in Canton Police department. I won my appeal on the reductions applied to the Colin and Chris bodycam footage and they have 8 business days to respond. They also claimed exemptions on the footage from the station and I have to contact CJIS to get the information from Goode running my plates. I have been busy the last couple weeks and will post updates tomorrow with all this information. I hope to be in the Dedham, Canton and Stoughton area in the upcoming weeks.

Mass Accountability

150,615 Aufrufe • vor 1 Jahr

We have all been there, someone doesn't know what something is in DeFi or where to go so you get called. You talk on the phone for an hour and your friend or family member is more confused than they were when they started. Now you don't have to worry about that anymore with Orbit! Stay tuned for how we onboard more people to web3 via agents!

We have all been there, someone doesn't know what something is in DeFi or where to go so you get called. You talk on the phone for an hour and your friend or family member is more confused than they were when they started. Now you don't have to worry about that anymore with Orbit! Stay tuned for how we onboard more people to web3 via agents!

Orbit

13,028 Aufrufe • vor 1 Jahr

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

Andrew Ng

132,058 Aufrufe • vor 1 Jahr

𝗜𝗣 + 𝗔𝗜 = 𝗚𝗮𝗺𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗿𝘀 But traditional licensing models make it hard to track, attribute, and creatively reuse IP. If you’re a creator, you know the pain, your work gets lost in the shuffle | Camp Network is the answer to all these issues, i can explain ↓ ------------------◈------------------ Now with the Origin & mAItrix framework, everything is seamless and transparent for creators This framework is a system where IP can be minted, owned, remixed, and monetized, all transparently and verifiably onchain. Let me explain how it works ↓ So first Origin - AI Tokenization Origin SDK lets developers and users instantly turn creations into IP NFTs and; These NFTs are automatically streamed into mAItrix, Camp’s AI framework, without friction. ------------------◈------------------ Next is mAItrix - AI Agents Trained on User-Owned IP This is a modular agent system that learns directly from IP in Camp’s registry. So basically it powers intelligent remixing, co-creation, and new content generation. Every derivative carries embedded attribution + real-time royalties back to original creators. The result of all these? ------------------◈------------------ A scalable co-creation ecosystem where fans, creators and users can build on their favorite IP, remix it with AI, & the best part? The source creators still get paid and credited instantly, on Camp Network, derivatives can be just as valuable as the originals. Now that's not even all, I'll make a video step by step guide This is to show you how to actually use the tech & remix TrailHeads for yourself, so check video below ↓ ◉ X: Camp Network ◉ Remix: ◉ TrailHeads X: TrailHeads ⛺️ ◉ [ bullpost Rova ] Will definitely drop a guide on how to get the $CAMP faucet and adding the network to wallet.

𝗜𝗣 + 𝗔𝗜 = 𝗚𝗮𝗺𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗿𝘀 But traditional licensing models make it hard to track, attribute, and creatively reuse IP. If you’re a creator, you know the pain, your work gets lost in the shuffle | Camp Network is the answer to all these issues, i can explain ↓ ------------------◈------------------ Now with the Origin & mAItrix framework, everything is seamless and transparent for creators This framework is a system where IP can be minted, owned, remixed, and monetized, all transparently and verifiably onchain. Let me explain how it works ↓ So first Origin - AI Tokenization Origin SDK lets developers and users instantly turn creations into IP NFTs and; These NFTs are automatically streamed into mAItrix, Camp’s AI framework, without friction. ------------------◈------------------ Next is mAItrix - AI Agents Trained on User-Owned IP This is a modular agent system that learns directly from IP in Camp’s registry. So basically it powers intelligent remixing, co-creation, and new content generation. Every derivative carries embedded attribution + real-time royalties back to original creators. The result of all these? ------------------◈------------------ A scalable co-creation ecosystem where fans, creators and users can build on their favorite IP, remix it with AI, & the best part? The source creators still get paid and credited instantly, on Camp Network, derivatives can be just as valuable as the originals. Now that's not even all, I'll make a video step by step guide This is to show you how to actually use the tech & remix TrailHeads for yourself, so check video below ↓ ◉ X: Camp Network ◉ Remix: ◉ TrailHeads X: TrailHeads ⛺️ ◉ [ bullpost Rova ] Will definitely drop a guide on how to get the $CAMP faucet and adding the network to wallet.

Kellen 🗻

28,528 Aufrufe • vor 1 Jahr

What Will Separate the Winners From the Losers in AI Agents “The product that wins this category will have a network effect at the agent level. One feature our power users love most is Agent-to-Agent. You ask your townie a question; it realizes a coworker’s townie has the answer, so it just goes and asks it. Once your whole team is on that, it’s really difficult to imagine moving to a different product. No one has figured out multi-user, multiplayer AI yet. I think that’s the moat.” Jean-Denis Greze 💡 Love to hear your thoughts on this sam lessin 🏴‍☠️ Harrison Chase Flo Crivello Manny Medina

What Will Separate the Winners From the Losers in AI Agents “The product that wins this category will have a network effect at the agent level. One feature our power users love most is Agent-to-Agent. You ask your townie a question; it realizes a coworker’s townie has the answer, so it just goes and asks it. Once your whole team is on that, it’s really difficult to imagine moving to a different product. No one has figured out multi-user, multiplayer AI yet. I think that’s the moat.” Jean-Denis Greze 💡 Love to hear your thoughts on this sam lessin 🏴‍☠️ Harrison Chase Flo Crivello Manny Medina

Harry Stebbings

22,844 Aufrufe • vor 22 Tagen

Elon Musk descibes Grok 4.7 as a solid world class model but probably not at the level of Opus 5.5 as it stands. He credits this mostly to Anthropic being at it for six years while xAI have only been doing AI for three years. He believes they will catchup to frontier models sometime next year. While other companies have been excellent at software engineering, the area xAI will have an advantage in is real world engineering with the training data from SpaceX and Tesla.

Elon Musk descibes Grok 4.7 as a solid world class model but probably not at the level of Opus 5.5 as it stands. He credits this mostly to Anthropic being at it for six years while xAI have only been doing AI for three years. He believes they will catchup to frontier models sometime next year. While other companies have been excellent at software engineering, the area xAI will have an advantage in is real world engineering with the training data from SpaceX and Tesla.

Ian Miles

26,970 Aufrufe • vor 6 Tagen

Hollywood is COOKED Here's why: 1) Disney and Paramount are already sending C&D and DMCA takedowns of seedance videos. 2) This is going to force people to create their own IP, which will flood the market. 3) Copyright and IP law will work in favor of the indie creators, who already have global reach with platforms like YouTube and others. 4) As the gatekeepers crumble, they will merge and consolidate like big publishing houses. 5) The new normal will be indie creators, just like on YouTube and KDP. The Kickstarter for my Post-Labor Economics book is live!

Hollywood is COOKED Here's why: 1) Disney and Paramount are already sending C&D and DMCA takedowns of seedance videos. 2) This is going to force people to create their own IP, which will flood the market. 3) Copyright and IP law will work in favor of the indie creators, who already have global reach with platforms like YouTube and others. 4) As the gatekeepers crumble, they will merge and consolidate like big publishing houses. 5) The new normal will be indie creators, just like on YouTube and KDP. The Kickstarter for my Post-Labor Economics book is live!

David Shapiro (L/0)

46,597 Aufrufe • vor 7 Monaten

“There’s this really refined and precise way to meet and interact with people when you have this shared language in common… And a lot of what I think we wrote in this book is downstream from that.” @jackbutcher on his essay with ex.jalil.eth in CryptoPunks: Free to Claim. Pre-Order Now:

“There’s this really refined and precise way to meet and interact with people when you have this shared language in common… And a lot of what I think we wrote in this book is downstream from that.” @jackbutcher on his essay with ex.jalil.eth in CryptoPunks: Free to Claim. Pre-Order Now:

CryptoPunks

32,349 Aufrufe • vor 2 Jahren