Elon Musk sets this ‘Grok condition’ condition for all Wall Street banks, law firms and auditors if they - The Times of India
Elon Musk sets this ‘Grok condition’ condition for all Wall Street banks, law firms and auditors if they The Times of India
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AI workout plan generator for Indian personal trainers (coachiq.in)
I built CoachIQ after watching personal trainers at my gym in Bengaluru spend hours creating client workout plans in Excel and sending them via WhatsApp voice notes. Trainer enters client profile, selects training days, AI generates a full weekly plan in under 60 seconds. Plan is shared via a WhatsApp link — no app download for the client. Free for first 3 plans. ₹499 per month after that (about $6). The exercise library is also free at exercises.coachiq.in — 800 plus exercises with AI generated benefits and instructions. Happy to answer questions about the technical stack or the Indian fitness trainer market. Stack: Next.js 14, Supabase, Anthropic API, Tailwind CSS, Vercel Comments URL: https://news.ycombinator.com/item?id=47669470 Points: 1 # Comments: 0
I Built an AI That Eliminates Manual Data Entry — Here's What I Learned
The Problem Nobody Solved Properly Small businesses waste 20+ hours every week manually typing data from invoices, receipts, and forms into spreadsheets and CRMs. Human error rates on manual data entry average 1–4%. That sounds tiny until you're reconciling 500 invoices and find 20 wrong entries. I spent months looking for a tool that actually fixed this. Nothing fit — they were either too expensive, too complex, or charged flat subscriptions whether you processed 5 documents or 5,000. So I Built DataSwift AI The concept is simple: Upload any document (invoice, receipt, form, unstructured PDF) AI extracts and organizes the data with zero errors Export directly to your database or CRM No subscription. Pay only per document. Crypto-friendly via NOWPayments. What I Learned Building It Pricing
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Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking
arXiv:2604.03404v1 Announce Type: new Abstract: Active multi-target tracking requires a mobile robot to balance exploration for undetected targets with exploitation of uncertain tracked ones. Diffusion policies have emerged as a powerful approach for capturing diverse behavioral strategies by learning action sequences from expert demonstrations. However, existing methods implicitly select among strategies through the denoising process, without uncertainty quantification over which strategy to execute. We formulate expert selection for diffusion policies as an offline contextual bandit problem and propose a Bayesian framework for pessimistic, uncertainty-aware strategy selection. A multi-head Variational Bayesian Last Layer (VBLL) model predicts the expected tracking performance of each exp
OpenAI’s Guide to Building an Open Economy and Resilient Society
OpenAI has proposed new industrial policy guidelines which it suggests will help governments manage the disruption caused by AI. In the report titled Industrial Policy for the Intelligence Age: Ideas to Keep People First, Open AI highlights their ideas for policy change, but notes that real change requires broader collaboration to ensure superintelligence can benefit [ ] The post OpenAI’s Guide to Building an Open Economy and Resilient Society appeared first on DIGIT .
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