Here is a potentially disruptive startup idea:
• On-demand drone delivery for e-commerce. The idea is to offer ultra fast delivery of small packages via drones. This could significantly reduce delivery times for e-commerce orders and disrupt the traditional shipping industry. Some key challenges to overcome would be regulatory approvals, safety, noise pollution, and scaling up a drone delivery network. But if executed well, it could transform how people receive goods and packages.
A few other disruptive ideas:
• An Uber-like model for renting out spare rooms or couches for short term stays. This could disrupt the hotel industry.
• A Netflix model for streaming live TV channels over the internet. This could disrupt the cable TV industry.
• An automated vertical farming system to grow organic food locally in urban areas. This could disrupt the traditional agriculture and food supply chain.
• Decentralized blockchain-based social network. The idea is to build a social network that is not owned or controlled by any single company. It would be an open, decentralized platform built on blockchain technology. Users would have more control and ownership over their data and profiles. The business model could be built around micro-payments or subscriptions. It could disrupt the dominance of companies like Facebook and offer an alternative distributed social networking experience
• A virtual reality social network. If VR/AR technologies become more mainstream,
Honestly, a real sign of intelligence :D
(Truly disruptive if we manage to turn Universal Paperclips into reality.)
Startup Idea: SmartUpCycle
Overview:
SmartUpCycle is a disruptive startup aimed at revolutionizing the way we handle waste and promote sustainability through upcycling. The platform uses advanced AI and machine learning algorithms to intelligently identify and match discarded materials with potential new uses, connecting individuals and businesses with creative solutions for repurposing waste.
Key Features:
AI-Powered Material Matching: The platform utilizes AI to analyze and categorize various types of waste materials, identifying their potential for upcycling and suggesting creative and functional uses for them. This allows users to find new life for discarded materials, reducing waste and contributing to a circular economy.
Marketplace for Upcycled Goods:
SmartUpCycle provides a marketplace for users to buy and sell upcycled products, offering a wide range of unique, environmentally-friendly, and innovative items. This encourages more people to engage with upcycling and supports the growth of a new sustainable industry.
Waste Collection & Redistribution Network:
The startup collaborates with local waste management companies, recycling centers, and businesses to collect and redistribute waste materials to users, promoting a circular economy and reducing the need for new raw materials.
Educational Resources & Community:
SmartUpCycle offers educational resources, tutorials, and workshops to teach users how to upcycle waste materials and create new products. Additionally, the platform fosters a community of like-minded individuals who can share ideas, collaborate on projects, and inspire each other to embrace sustainability.
Business Integration:
The platform offers integration solutions for businesses, helping them reduce waste, lower costs, and adopt sustainable practices. By providing access to a network of upcyclers and a marketplace for upcycled goods, businesses can transform their waste into revenue-generating products.
Revenue Model:
SmartUpCycle generates revenue through various channels, including:
Transaction fees on the marketplace for upcycled goods.
Subscription fees for premium features, such as advanced AI recommendations and business integration services.
Sponsorships and partnerships with waste management companies, recycling centers, and eco-friendly brands.
Fees from workshops and educational resources.
Impact:
SmartUpCycle promotes sustainability by reducing waste, conserving resources, and encouraging a circular economy. By connecting people and businesses with creative upcycling solutions, the platform fosters innovation, supports the growth of a new sustainable industry, and contributes to a healthier planet
In other words, GPT-4
Does anybody know a green song? What happens if a girl doesn't have a twin brother? What musical instrument did larry black sing 'jealous heart' on? Is country music more country than country music. I'm confused.? What is the difference between a copyright and a trademark? What is the best piano chords software u can get for beginners? What is the best music software for beginners? What is the song from the new dexter episode? Did he kill his brother? What is the name of the song dueling banjos? Was the raiders of the lost ark the first jungle hero movie? Who really invented reverse tape effect? Why can't me and my neighbor get along? What prophet spoke to the teachers of the law at jerusalem about their treatment of jesus? Are there any songs that describe the emotions of a cult member? What is the most ugly song ever made?
It's already trolling you.
Otherwise, you may be prompting a Base LLM expecting the behavior of a different kind of LLM (an instruction-tuned chat model).
Cohere's Command model builds on top of the base model, giving it the capability to follow instructions and user commands.
Q: your question
A:
Then it is more likely to fill in an answer for you.
Your prompt suggestion is a good one for LLMs as a whole. Any information added to the context informs the model and nudges it towards the expected answer format.
The 'why' and the 'what' don't actually change very often (hopefully!) so you can have plenty of time for experimentation and 'play' like this. This is a part of how you learn and answer the 'why' and 'what' parts of your job.
Vercel is probably noticing that the LLM community is using NextJS (and Vercel) by default a lot of times, and that supporting the community and building more goodwill will pay off.
Also, I have to link this here because I thought it was too funny:
https://play.vercel.ai/r/G9y3eXJ
edit: Oh I just hit the token limit, I guess that's how you're dealing with cost lol. Something I was gonna suggest is that maybe answers should be cached to prevent repeated calls to the same API when the prompt hasn't changed, this could potentially increase the amount of tests I could do.
Will relay your feedback about the icon back to the team - thank you for trying this out!
one of the useful things from nat.dev was the tokens/second calculation, latency is impt as usual. would be nice to enable?
i'm excited to see what the upcoming products are. making things default sharable like this across all frameworks would be really nice.
I had some failures for huggingface and cohere. Replicate produced an output that was not rendered (but returned an answer in the network tab).
It would also be great to add: https://docs.aleph-alpha.com/docs/introduction/luminous/
GPT-4: > Dear [Publisher],
> I hope this letter finds you well. As you know, my work has always strived to explore the intersection of technology, society, and human nature. With that in mind, I am excited to present to you my latest novel, "Neural Drift."
> Set in the not-too-distant future, "Neural Drift" delves into a world where the lines between our reality and the digital realm have all but vanished. The story revolves around our protagonist, Elara, a skilled hacker and data courier who navigates the vast neural network known as the "Mindscape" – an immersive digital landscape that has become the primary means of communication, commerce, and entertainment for the global population.
> In this future, the Mindscape has become an integral part of daily life, and the distinction between the physical and digital worlds is all but gone. Society is now heavily reliant on neural implants, which allow users to access the Mindscape and interact with the digital world through
Anthopic Claude-v1 (which wouldn't answer at all if I didn't put pretend in front):
> Here is my William Gibson-inspired book pitch:
> The future is here—it's just not evenly distributed yet. In my new novel, Pattern Recognition, I explore the bleeding edge of culture, technology, and society through the eyes of Cayce Pollard, a "coolhunter" who has an uncanny ability to spot trends in the wild.
> Cayce is hired to track down the creator of a series of mysterious film clips being uploaded to the internet. Her search takes her from London to Tokyo to Moscow, where she encounters a dangerous mix of hackers, hipsters, and Russian mobsters. Along the way, Cayce begins to realize the film clips seem to have a strange predictive power—they appear to show events that have not happened yet.
> Pattern Recognition is a stylish, fast-paced techno-thriller that examines how technology shapes culture, and how culture shapes us. It blends Gibson's trademark cyberpunk sensibility with a
YES, it did just regurgitate an existing Willam Gibson book
I was playing around with GPT-4 making it take the questions for an Economics exam the other day and it was missing a lot of context that a human would get or assume. It was still much better at economics than me, but was going down "wrong" paths that a human wouldn't go down.
If you told it to explain the the question and list assumptions you could work out where it was going off track, but it lacked the ability to step back and recognise it had taken a nonsense path.
This is the simplest I could get it: still uses the OpenAI npm package and doesn't need streaming:
https://github.com/yisding/gpt-edge-test
If you want to try streaming you can take a look at the readpanda repo.
ChatGPT4:
1. Incremental Static Regeneration (ISR): This feature allows developers to update static pages at runtime without having to rebuild the entire website. Vercel has optimized its platform to support ISR, making it an exclusive feature for Next.js applications deployed on Vercel.
2. Real-time Feedback: Vercel's platform provides real-time feedback during development, allowing developers to see the changes they make in their code instantly. This feature is exclusive to Vercel, making it a significant advantage for developers using Next.js on their platform.
3. Edge Functions: Vercel offers Edge Functions, which allow developers to run serverless functions at the edge of their network, providing low-latency responses to user requests. This feature is particularly useful for Next.js applications that require server-side rendering and is exclusive to Vercel's platform.
4. Preview Mode: Vercel's platform supports Next.js's Preview Mode, which allows developers to preview draft content changes without affecting the live site. This
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Claude v1.3
That is not correct. Vercel does not monopolize Next.js or limit features to their platform.
Next.js is an open source framework that can be deployed anywhere. Some key facts:
1. Next.js is MIT licensed and the source code is available on GitHub for anyone to use, modify, and deploy.
2. Next.js apps can be deployed on any hosting provider or infrastructure. This includes:
- Vercel (the creators of Next.js) - AWS - GCP - Azure - DigitalOcean - Heroku - Your own servers, etc.
3. All Next.js features work regardless of where you deploy. This includes:
- Static Generation (SSG) - Server Side Rendering (SSR) - Incremental Static Regeneration (ISR) - API Routes - Image Optimization - Font Optimization
I asked it to help me design an app for a specific use case. It came up with a list of features, the tech stack, and even designed an initial database.
With the API, you can basically customize the session ranging from providing batshit bananas replies (by setting high temperature) or almost deterministic replies (by setting low temperature) with personality controlled by the system prompt, so you can make it "friendlier", "less formal" or anything else.
It is still as slow via the API as via ChatGPT though, which kind of sucks when you're using it for longer passages. I do wish it was just about 100% faster.
Some models seem to hang w me (anthropic) but I think it was because I reached the limit.
Does loggedIn usage w vercel will become usage-paid?
I am building this by myself using Streamlit, but was wondering is there a ready solution.
Edit: they are using their own hosted APIs such as Anthropic or Replicate.
As part of the project, I’ve been working with providers and hosts on updating their SDKs to work on Vercel Edge Functions (and streaming).
Maybe slightly tangential, on the subject of UIs for ChatGPT, does anyone know a good UI for voice input to ChatGPT, for either the website or via an API ?
I am an AI language model created by OpenAI, but I am not GPT-4. I am based on the GPT-3 model. GPT-4 has not been released yet.