Francesco (@francescoinweb3)

Many predicate markets limit themselves to a list of topics that the platform itself has selected in advance. Because of this, many interesting and nutritional events do not receive their own market at all. That is why @prophetmarketai creates such a predicate market. They are building permissionless prediciton markets. Any user can create a market on almost any topic, and AI acts as a counterparty. For example, you can create any kind of market. The future is not a limited list of markets chosen by someone in advance, but a desire to create a market for any question. Not available for US users. Each transaction carries risks

How did a single AMD mini PC costing $1,499 help me earn $10,000? I recently came across an interesting case study. It shows just how quickly the local AI market is changing. The author worked with clients for several months using only a GPU The project generates $4,000 → Most of the money goes towards renting the A100 → Support and development costs for the creators → As a result, the margin is lower → The main problem isn’t a lack of clients. → The problem is that serving them was becoming economically unviable. The owner decided to buy a mini PC based on the AMD Ryzen AI Max + 395 with 128 GB. Local solutions are not suitable for everyone. You need to understand whether you need such power to work with them. You need to understand the practicality of all that power. Local models allow you to increase capacity.

Why should you spend $599, and what exactly are you getting for it? At present, the economy appears to be clearly inflated in many sectors. To prevent this from happening, many governments are providing support to companies. When it comes to the AI market, the US is the clear leader. All the major companies are based there, and it is they who are deciding how to utilise AI. A new reality is emerging. Instead of paying for Claude, many developers are buying a Mac Mini, costing $599. They are saving literally $300 a month. $300 * 12 = $3,600 a year in savings. → ChatGPT Pro: $200 a month. → Claude Pro Max: $200 a month. = Over $5,000 a year on AI subscriptions. → Mac Mini: $599 → Electricity: $3 Then, using your existing computer, you can run → Qwen → Deepseek → Gemma → LIama → No subscriptions, no token fees, no data charges. The future of AI is neither the cloud nor a local model. A local model covers 80% of complex tasks, with the remainder left to more advanced models. Using AI in business and controlling the associated costs is a crucial factor. Therefore, it is also worth taking your expenses into account.

How to set up your own company with just one employee and a profit of $10,000 a month? Every company has its own unique component. It is this unique element that most often forms the foundation of the company. Not a CRM Not a Wiki Not a Data Warehouse → But the company’s brain. Many companies have data, but lack the memory to store it. → And in the age of AI, it is simply essential to always upload your company data to NotebookLM so that you don’t have to explain to the AI what the company does and how to formulate a query every single time. For new companies just starting out, this is the most important thing. → Now that a single AI can replace 10 employees, it is important to have one employee capable of organising the thinking and the brainpower needed for the AI to work correctly. → At the moment, everyone is paying $1,000 a month for Claude, or even more. → Other companies pay as little as $58 a month because they have properly organised their workflow, allowing them to scale their business. Now it is important not only to use AI correctly, but also to equip it with knowledge. If it lacks knowledge, it will not be able to build a successful business for you. That is why every employee who knows how to use AI is valuable to the company. They enable the business to save money and make a profit.