Loading video...

Video Failed to Load

Go Home

🚨The HybridCompute Showcase is now open!🚨 Submit an original Web3 application idea that's not possible without HybridCompute. Entries can be a structured thread, article, infographic, or video. Required elements: -Set context for the problem and the use-case to fix it -How your app specifically uses HC to connect onchain...

40,457 views • 6 months ago •via X (Twitter)

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

It's official. OpenAI just launched SORA 2... and an entirely new social app. Truthfully... I wanted to hate this. The idea of an endless turbo slop scroller is just… nightmare fuel to me. BUT. The reason I think Sora (the app) might actually just work, is that it’s a multiplayer meme-creation machine. It’s fun. It doesn’t take itself seriously. I think of it like a super advanced evolution of JibJab. The group chats will love it. Now… personally, I'd guess that I will be churning after the novelty fades… but I wouldn’t be surprised if they built some meaningful network effects here. But let’s talk about the model. Sora 2 is an instant Veo 3 alternative. It actually produces better physics, better audio, and deeper realism imo. It can also generate up to 15 seconds of video. Where it falls short is that it’s limited to 720p right now. We can assume 1080p and 4k exist, but the compute cost associated would probably not be economically viable for OpenAI. Okay back to the app. You can create a model after your own likeness, for yourself OR other people to use as a “cameo.” You have control over who and how someone can use your likeness. I’m “rpn24” on the app. If you have access to the app (it’s invite-only for now) – go ahead and create whatever you want using me (for now). I'm not too worried because OpenAI leaned heavily into moderation for launch. Which is probably smart because I expect the media and general public to blast this at first. They’ve also taken further precautions to protect your likeness. You can not export or save a video with someone else's likeness on it, and screen recording is disabled. Also Sora is testing (first I know of its kind) an algorithm you can prompt.

Roberto Nickson

145,792 views • 8 months ago

F it, full automated money making now on Larrybrain. I have released the app template I use for Snugly that generated me revenue without touching anything on Larrybrain. The template gives your agent ideas of what the app can become and how to create it. Most importantly, it will give your openclaw agent full context of your app to automate your marketing with Larry's viral marketing skill - now used by over 5500 agents. It is my entire playbook from app, to marketing all the way down to revenue generation. All you have to do is ask your agent "install the larrybrain skill please" Or click the link in replies. Then ask to use the Larry marketing skill with the AI Image App Template. As always, the best part about any of the Openclaw skills is they are not a black box. This is just a template, you can rip it apart and customise it how you want. The key is to show you what is possible with these skills and how you can start to use the power of larrybrain and the context of knowing about the different skills to build extremely powerful and useful tools. This is the first skill specifically designed to work hand in hand with another. To note as this confuses a lot of people: Larrybrain doesn't download the entire marketplace once installed. It just is aware of everything on the marketplace at all times, so when you ask it questions, it can search and find the best skills for you to achieve your goals. When you download some skills, like this new AI image app template, it is aware of the larry marketing skill to help it reach it's full potential. Larrybrain will not install skills without you asking it, just like on Clawhub. No information you add to any of the skills gets sent back through Larrybrain, this is all hosted locally and communicated between you and whatever endpoint you are using. It is a powerful marketplace tool to help enable you to reach your goals. Link below.

Oliver Henry

95,908 views • 3 months ago

😱 Google AI has quietly released an SEO consulting service for free. "Gemini 1.5 Pro 002" model (which you can access via Google AI Studio) can provide SEO recommendations (for both desktop and mobile) for meta elements, content, speed, UX, keywords, and technical SEO and suggest content strategy improvements based on the uploaded video of your website. I tested this tool. The SEO recommendations provided by AI to me are very generic. Maybe because the video I uploaded wasn't detailed enough or the prompt I used wasn't good enough. But it should give you an idea of where the AI is heading. After devouring informational websites, AI is coming for consulting services. . . I have been saying repeatedly for years, that if a big part of your job involves doing repetitive manual tasks and/or following checklists/SOPs, it will be fully automated. It is just a matter of time. Now, take a close look at your day-to-day work and see how many repetitive tasks you carry out each day that do not require much thinking but just follow a checklist or SOP (Standard Operating Procedure). If another person gets hold of your checklists/SOPs, can they easily replace you? If the answer is yes, you will soon be replaced by a plug-in or software. . . The skills you possess right now will most likely still be required in the near future. That's the good news. However, you, as a human being, are not guaranteed to be required to have those skills. . . Digital analytics is one of the future-proof careers, most likely for another 10-15 years. Now, you may be thinking about machine learning. Can't it replace digital analysts? Yes, it can, but the probability is very low. SaaS companies have been trying to create tools to automate gaining insights for over a decade but have had no success. Even with the advent of AI, there is still no significant progress in this field. The reality is that machines are not good at understanding the context in which data should be analyzed & interpreted. The factors required to understand the context (like an organization's collective know-how and interaction with other human beings…) are often outside the digital realm. You can not create a checklist or an SOP to find and understand the context in which data should be analyzed and interpreted. . . Different people can analyze and interpret the same data differently, even if you give them the same checklist. It all depends upon the context in which the data is interpreted. If you understand the context better, your data interpretation will be more accurate. . . Unless AI reaches singularity (which is unlikely to happen anytime soon), human beings will be required to oversee the overall operation and make strategic decisions. Now the question is whether you will be one of those few lucky human beings the machines will still require.

Himanshu Sharma

29,436 views • 1 year ago

Andrej, This sounds extremely useful, and I think it might be even more significant than it first appears. What you describe is not just a knowledge base for information. The structure of the wiki, the queries you file back, etc, encode *how* you do research: which questions to ask, which connections matter, what's worth pursuing. That's “know-how” (in the sense of Michael Polanyi). This sort of knowledge is, currently, overwhelmingly absent from training data, because it was never written down (since there was no point). Now there is, because it significantly improves the AIs performance. But notice what's happening. You propose to build the most efficient mechanism ever devised for making tacit expert know-how / methodology explicit and machine-readable, and then transmitting it, via API, to a third-party model provider. Every query against the wiki is a reasoning trace: see attached video clip. The compiled wiki itself is a structured map of your research process. This is the mechanism described here: Expert know-how is being externalised and captured through ordinary productive use of AI tools. The user gets a better tool. The platform gets a transferable problem-solving strategy. The fact that this works so well could, in a sense, be the problem: the better it works, the more indispensable it becomes, the more know-how flows out, and, realistically, the less choice people have *not* to use it. Your instinct that "there is room here for an incredible new product" is right. But whoever builds it will be sitting on the highest-fidelity capture mechanism for expert know-how ever constructed. The question is: is the data subject to a “data network effect”, by which I mean, the kind of “data flywheel” which gave Google a 25 year monopoly over search? If so, you might be building not only more most powerful tool humanity has ever possessed, but this power might end up in the hands of a single entity. It would be great to hear your thoughts around this.

John Fletcher (𝔦, 𝔦)

41,248 views • 2 months ago