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The Paradox of Deterministic Computer Programs and Unpredictable Large Language Models

If you are paying $20 for Google Gemini, I want to know why??? In the ever-evolving world of AI, we often find ourselves comparing the predictability of computer programs with the unpredictability of large language models (LLMs). While computer programs offer deterministic outputs, LLMs present a unique challenge due to their reliance on vast and often unfiltered datasets. A prime example of this dichotomy is Google's recent Gemini model, which produced unexpected and undesirable results. Despite being one of the largest and most capable AI organizations, Google struggled to anticipate the model's output accurately.

I canceled my ChatGPT Plus subscription. Here’s why.

I canceled my ChatGPT Plus subscription due to performance issues, cost-effectiveness, privacy concerns, lack of transparency in updates, and the availability of easy alternatives. While ChatGPT initially offered a unique chat interface, the service became slow and unresponsive during peak hours. Comparing costs, using the GPT-4 API was more economical than the Plus version. Privacy concerns arose from the training data used by LLMs, and the lack of transparency in updates was a drawback. Easy alternatives like Big-AGI and ChatbotUI provided similar functionalities, and SaaS products integrated AI features. Additionally, running open-source LLMs and building GPU machines were viable options. Also, I simply do not trust OpenAI with my data. We all know about Sam's firing drama that happened in November 2023. Very few details emerged after that event, and no one knows what really happened. Additionally, Ilya Sutskever, who, according to Elon Musk, has a better moral compass, has been missing in action since December 14th.

The Nostr Initiative: What Are We Running Towards?

The Nostr ecosystem stands at a crossroads faced by many emerging technologies. The initial inclination has been to use this powerful new tool to replicate existing social media platforms like Twitter, Reddit, Facebook, and Google. This approach has provided a proof of concept, demonstrating Nostr's capabilities. However, it has *NOT* significantly shifted users away from these entrenched giants. It's clear that simply recreating with new tools isn't enough to dislodge platforms that have developed extensive features, usability, and a robust moat around their services.

Introducing Unlimited PlebAI

PlebAI is introducing an unlimited subscription service, enabling users to access diverse AI tools while maintaining privacy. This subscription, payable via lightning wallets, allows the generation of text, images, videos, and more. It challenges traditional free, data-driven platforms by offering a pay-per-use model, blending user autonomy with innovative AI capabilities.

Pitch & Demo: PlebAI

In the tech industry, a major platform shift occurs every 10-15 years. PC -> Web -> Mobile. With each platform shift, incumbents are challenged, new companies emerge, and new business models are created. With the advent of AI in the form of Large Language Models (LLMs), we are witnessing the beginning of the next platform shift in 2023. There has already been considerable chaos this year, and we can expect to see more. As we complete the first year of Chat GPT, we have seen numerous new players emerge, OpenAI's CEO ousting drama, and the release of open-source models like LLama2, Mistral, and Stable Diffusion. While the top models from OpenAI, Google, and Anthropic are closed-source, the open-source community is competing vigorously with smaller, well-trained, domain-specific models and is poised to win against them. We believe the future is open-source, #buildinpublic, community-driven, and privacy-focused AI built and used by Plebs around the world.

3. Add knowledge to AI Agents

I'm exploring how AI agents transform content creation and consumption, focusing on their unique attributes, particularly domain-specific knowledge. In this article you will example with PlebAI, a platform where AI agents are enhanced with specific knowledge sources, significantly improving user interactions through efficient and accurate responses.

Nostr + AI: Unleashing Unlimited AI interactions

Discover the Future of AI: Over 100 AI Agents Now Available on the Current App via Nostr! Subscribe for Unlimited Access to Image and Text Generation – Experience the Infinite Possibilities!

50 Plus PlebAI agents are available to use with any Nostr client

Introducing PlebAI, the real Open AI

Apple allowed Current App to keep the zap button on posts

In June, Damus faced issues with Apple's review process due to the "zap" feature on posts. Apple's App Review Support (AARS) stated that any feature offering value should implement In-App Purchases (IAP) per their guidelines. Although the "zap" feature was merely for user engagement, Apple insisted on IAP for compliance. An understanding was reached to make IAP optional. The final solution allowed users to purchase SATS via a $0.99 IAP or transfer SATS from other wallets, retaining the zap feature's simplicity. This approach abides by Apple's rules and aids in introducing users to Nostr, Bitcoin, and Lightning. This write up unveils all the drama that happened with Apple and how we got to keep the zap button.

We may shutdown Current iOS App

Starbackr's Zap feature launched in 2022, sparked massive user engagement and led to the creation of the Current App. This app, unique amongst Nostr offerings, added economic value to zaps and attracted creators. When Apple demanded zaps be removed from posts, we refused to surrender. Instead, we negotiated for a compromise that maintains our integrity and honors Apple's policy. After several rejections, we've submitted our final revision. This struggle transcends keeping our app in the App Store; it's about defending our principles. We'll keep you updated as the battle continues.

Prompt Engineering for AI

Glad I did *NOT* go to Miami…!

A brief summary of clown show happened in Miami called Bitcoin Conference.