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Roblox's server authority beta is almost here! It prevents clientside hacks by making the server the final decider of what actually happened. You have to provide inputs that the server equally consumes or else the client will mispredict and rollback.

63,064 views • 6 months ago •via X (Twitter)

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If you’re playing on MonkeyTilt, the outcome might already be decided BEFORE you bet “The cryptography behind every bet has always been sound” We tested it It isn’t... we sent two different client seeds for the same nonce same result both times the server is ignoring the client seed entirely the player has ZERO influence on outcomes — what we did — opened the MonkeyTilt provably fair verifier with a revealed server seed entered nonce 1 → got 3.04x changed the client seed same server seed, same nonce → 3.04x changed it again → 3.04x the client seed has ZERO effect on the outcome — why this matters — in a provably fair system the outcome is derived from: -server seed -client seed -nonce the client seed exists so the player contributes randomness the server CAN’T predict if it’s ignored the server knows every outcome BEFORE you bet the hash commitment proves nothing because the server already controls all the inputs — not a frontend bug — we checked the network traffic the verifier sends a WebSocket request with: -client seed -server seed -nonce the server receives different client seeds and returns the same result anyway request 1 → client_seed “Clientseed123456789” → 3.04x request 2 → client_seed “NEWSEED12345” → 3.04x this is the server ignoring input not a display issue — live bet traffic — placing a Limbo bet returns: -random_multiplier -total_payout -round_closed that’s it no hash no seed reference no nonce no proof seeds are fetched from a separate endpoint game engine and seed system are DISCONNECTED — nonce verification — you can only verify nonces you’ve already played in a real system all outcomes are predetermined once the server seed is committed - they’re deterministic blocking future nonces suggests results don’t exist until you bet — summary — -client seed ignored by server -no cryptographic proof in bet responses -game engine and seed system DISCONNECTED -nonce verification restricted this isn’t provably fair it looks like provably fair UI on top of server side RNG MonkeyTilt should probably address this anyone can verify this themselves in 60 seconds - open the verifier, change the client seed, watch the result stay the same

CoinBets🔍

20,973 views • 2 months ago

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

141,952 views • 1 year ago

React tip: "use client" misconceptions (2/5) 🚫 "You cannot nest Server Components inside Client Components because "use client" turns everything into Client Components." ✅ We can pass the rendered result of Server Components to Client Components as props. Simple example: (Server Component) (Client Component) (Server Component) is designed for the client. It needs to instantly open and close when clicked. is designed for the server. It uses packages that don't work in the browser and needs to fetch data close to where it's stored without exposing credentials. So, how can we nest a component that uses server APIs inside a component that uses client APIs... without using `import`? React props to the rescue! --- (0:00) 1-4: Reminder: Importing code forms a module dependency graph. Adding dependencies to a server or client bundle. (0:23) 5-6: Reminder: Using components eventually forms a rendered component tree. (0:37) 9: Oh no! We get an error when trying to `import` a client API (useState) into a server module. (0:44) 10: We know the trick by now: Add "use client" to mark `2.js` as a client entry point. This moves the module to the client bundle and allows us to use client APIs like `useState.` (0:51) 11: But we get a new error! "use client" moved all imported dependencies into the client bundle, including our ORM package, which doesn't work in the browser. (0:59) 13: Let's refactor without changing our rendered component hierarchy. First, we move the `Cart` import to the parent file that imports `Modal`. This moves `Cart` outside the "use client" boundary and consequently the client bundle. (1:11) 15: Then, we pass down the rendered result of `Cart` as a prop to `Modal`. This allows `Cart` to be entirely rendered on the server as a Server Component before being passed down. `Modal` has no knowledge of what the `cart` prop is. Its only responsibility is placing whatever it receives into the `{cart}` slot. (1:15) 16: Finally, it's common to use the special `children` prop for a component's primary content. The key insight is that we were able to use props to retain our desired component hierarchy even though we changed our module dependency graph.

Delba

43,989 views • 2 years ago