digitado

There’s a growing realization across the AI ecosystem that models are no longer the bottleneck. The real constraint is everything around them: data access, governance, orchestration, and the ability to turn outputs into actions. That’s where most enterprise AI projects stall, not because the model isn’t capable, but because it isn’t meaningfully connected to the business. Domo’s latest set of releases quietly tackles that problem head-on. Underneath the surface, what looks like an AI Agent Builder announcement is […]

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The Most Popular But Flawed OpenClaw Gets a High Security Replacement in OpenFang On November 25th, 2025, a developer named Peter Steinberger pushed an open-source project called Clawdbot to GitHub. By mid-March, it had spawned over twenty alternatives, triggered a Mac mini shortage in several U.S. cities, and earned its current name — OpenClaw — after two rapid rebrands driven by trademark disputes. That was not a product launch. :::info That was a detonation. ::: And yet, within […]

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Most communities fail because they’re not designed as a distribution growth engine. Instead, they’re built for engagement—likes, comments, and activity that look promising but don’t translate into measurable business impact. A distribution growth engine is a system where your community drives acquisition, conversion, and retention—turning engaged users into a scalable source of low-cost, high-trust growth. I’ve seen this play out repeatedly across startups and growth teams. Companies invest heavily in building communities, but without connecting them to distribution, […]

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Deep learning training is non-deterministic: identical code with different random seeds produces models that agree on aggregate metrics but disagree on individual predictions, with per-class AUC swings exceeding 20 percentage points on rare clinical classes. We present a framework for verified bit-identical training that eliminates three sources of randomness: weight initialization (via structured orthogonal basis functions), batch ordering (via golden ratio scheduling), and non-deterministic GPU operations (via architecture selection and custom autograd). The pipeline produces MD5-verified identical trained […]

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Most real estate investment trusts still run leasing and dividends through spreadsheets and human teams. They think the problem is slow paperwork or high fees. It is not. The real gap is blockchain underuse. REIT operators use less than 5% of what blockchain can do for trust and instant settlement. That is not a property management problem. It is a trust and latency problem — and no traditional process upgrade fixes an on-chain settlement problem. Here is the […]

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This tutorial shows you how to build a real-time medical transcription system that captures patient conversations, separates speakers, and automatically generates SOAP notes. You’ll create a streaming application that processes audio as it happens, giving healthcare providers instant transcription with proper clinical documentation format. You’ll use AssemblyAI’s Python SDK for real-time speech-to-text with multichannel speaker separation, combined with OpenAI’s GPT-4 API to transform raw transcripts into structured clinical notes. The implementation includes microphone audio capture, streaming transcription processing, […]

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Doginal Dogs Went From Free Claim to High-Value Hold Doginal Dogs is being talked about as one of the strangest success stories in NFTs for a simple reason: the collection started as a free mint and still managed to turn early holders into serious winners. According to the project’s own telling, minters paid nothing to claim. The founder covered the gas costs, and users were able to mint directly on Dogecoin through inscription technology. What looked like a […]

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When building a design system for the Android app at inDrive, we implemented a reusable TextArea component using androidx.compose.foundation.text.BasicTextField. One of the basic requirements was straightforward: limit the maximum number of characters a user can enter. Jetpack Compose seems to already support this through InputTransformation. However, after exploring the implementation more closely, we discovered a subtle behavior that can lead to a completely unusable TextField in certain scenarios. This article explores: how Jetpack Compose TextField max length works […]

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arXiv:2603.24771v2 Announce Type: replace-cross Abstract: Missing data is a ubiquitous challenge in data analysis, often leading to biased and inaccurate results. Traditional imputation methods usually assume that the missingness mechanism is missing-at-random (MAR), where the missingness is independent of the missing values themselves. This assumption is frequently violated in real-world scenarios, prompted by recent advances in imputation methods using deep learning to address this challenge. However, these methods neglect the crucial issue of nonparametric identifiability in missing-not-at-random (MNAR) […]

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arXiv:2603.24763v2 Announce Type: replace-cross Abstract: Conditional independence is central to modern statistics, but beyond special parametric families it rarely admits an exact covariance characterization. We introduce the binary expansion group intersection network (BEGIN), a distribution-free graphical representation for multivariate binary data and bit-encoded multinomial variables. For arbitrary binary random vectors and bit representations of multinomial variables, we prove that conditional independence is equivalent to a sparse linear representation of conditional expectations, to a block factorization of the corresponding […]

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