A lot of people are trying to reverse-engineer Fable 5 right now. Wrappers. Prompt packs. “Long-horizon agent” scaffolds. Tools that try to look like Fable from the outside. I think most of this is pointed in the wrong direction. If Fable 5 were just a prompt pattern or a wrapper, it would already be cloned. The real problem is not appearance. The real problem is robustness. Most coding agents look good at the start. Then the cracks show. - scope starts drifting - public tests b...
The whole system has a clean architecture: X supplies the public behavioral graph. Premium/Premium+ supplies a paid, high-signal user cohort. Grok supplies the private conversational layer. Image/video generation supplies visual preference data. Voice/personality/companion features lower inhibition and increase intimacy. Ads/subscriptions/enterprise/government/API monetize the resulting platform. The S-1 (SpaceX's IPO filing) calls X a distribution and data engine and describes A...
counted it once last quarter: roughly 3 hours just pulling inputs before i opened a single slide. Last month's metrics out of notion, the roadmap state from linear, founder check-in notes sitting in granola, the open investor threads in gmail. None of it is hard work, it's just scattered across five tabs and i'm the courier carrying it between them. The actual writing was never my bottleneck. a chat assistant drafts the narrative fine once everything is pasted in, but i'm still the one doing t...
Looking for a bit of advice because I feel like I’m missing something obvious. Over the last few weeks I’ve finally consolidated my photo library and got everything into OneDrive. I’ve now got two folders: Photos Videos Between them there’s around 3000 files in total. The files go back years and are a mix of family photos, holidays, screenshots, random phone pictures etc. I’ve been trying to use AI to help me organise everything properly. Things like: - Finding duplicates and near-du...
Following up on a thread I posted yesterday about how developers detect LLM API degradation. The responses were useful enough that I want to validate a specific idea. It is a 3 layer independent alert service: Layer 1: Transport health alerts: Independent probes checking TTFT, error rates, and latency across major models (Claude Sonnet, GPT-4o, Gemini, Grok) every 5 minutes. Alerts you before the provider's status page updates. This part already exists and is free at tickerr - the question...
At GiveDirectly, we recently ran a pilot in rural Rwanda that paired unconditional cash transfers with access to a general-purpose AI chatbot. One of the most interesting findings: people often used the chatbot as an always-available advisor—for business decisions, learning, and getting second opinions. But the pilot also exposed important limitations, including language gaps, locally irrelevant responses, and confidently incorrect answers. The writeup explores both sides: where participants...
Hi everyone, I'm an independent AI/ML researcher and I've been working on a project called PRAG (Paninian Retrieval-Augmented Generation) for safety-critical medical AI. The idea is to combine traditional RAG with a Paninian rule engine inspired by concepts such as Utsarga-Apavada, Paribhasha, Nitya-Anitya, and Antaranga-Bahiranga. The goal is not just better retrieval, but safer medical reasoning with full auditable rule traces. Current findings: • 71% r...
I love building apps with Firebase but felt that, other than basic auth, app emails (notifications, billing etc) were missing.
Wanting to implement a solution to this, it got me thinking about how to tell a coding agent about a new api and how to implement it.
I dynamically generate an openapi spec via a script and have been playing around with using this spec to then create a prompt generator. It's not something I've come across before and I can sort of understand why...
Generating a prompt t...