Tech
95% of Cryptocurrency Crimes Linked to Bitcoin: Analyst
NEW YORK CITY – Jonathan Levin, the co-founder, and COO of Chainalysis, on one of the episodes of Fortune’s “Balancing the Ledger” said that Bitcoin is the favorite cryptocurrency crime of criminals to carry out illicit activities. The analyst said that despite the availability of 2000 different cryptocurrencies and many privacy coins, about 95% of cryptocurrency crimes are linked to Bitcoin. It is so because Bitcoin is the top digital coin in the market and enjoys the highest value among all cryptocurrencies. Also, the transaction volume of Bitcoin is the highest in trading and spending, among all the other cryptocurrencies.
The firm, Chainalysis has been responsible for developing software to help cryptocurrency firms and law enforcements in tracing the public ledger of transactions on 10 different blockchains. Also, many dollar-backed stablecoins have been added under this. Levin said that most of the illegal activities in the US have been conducted to buy opioid drugs such as fentanyl and other drugs from pharmacies in China by paying in bitcoin cryptocurrency. Homeland Security and the DEA have managed to seize people involved in illegal activities related to cryptocurrencies.
Out of all latest blockchain & cryptocurrency news, this bitcoin mystery gained the attention of a huge number of people all across the world. Chainalysis, in its earlier attempt, could not manage to crack the mystery behind the lost access to 190$ million of customer funds through the Canadian cryptocurrency exchange, QuadrigaCX post the death of its CEO. However, in the end, it was explained by Levin that Quadriga never had those customer funds and where that money went is an intriguing subject to ponder.
Tech
My Main AI Turns Complex Workflows into Simple, Voice-Driven Conversations
By: Chelsie Carvajal
Managing modern workflows often means juggling dashboards, documents, and long email threads before a single task is complete. My Main AI Inc, an AI technology platform that spans text, image, voice, and video, has built a system where many of those steps can be handled through spoken or written prompts instead of manual clicks.
Turning Tasks Into Conversations
My Main AI groups several automation tools around a voice and chat layer so users can move through work by giving instructions rather than configuring each step. The platform lists AI Web Chat, AI Realtime Voice Chat, AI Speech‑to‑Text Pro, and AI Text‑to‑Speech engines from providers such as Lemonfox, Speechify, and IBM Watson, creating a loop between spoken input and generated output.
Speech‑to‑text tools support accurate transcription of audio content in multiple languages, with options to translate those recordings into English. That capability gives businesses a way to record meetings, calls, or field conversations, then convert the results into text that can be summarized, edited, and turned into documents or scripts. Text‑to‑speech tools, including multi‑voice synthesis with up to 20 voices and SSML controls, take written content in the other direction, producing voiceovers for training, marketing, and support material.
Chat assistants extend the same pattern to files and websites. My Main AI lists AI Chat PDF, AI Chat CSV, and AI Web Chat, which allow users to ask questions of documents or site content through natural language prompts. Instead of sorting through long reports, a user can query a file, receive concise answers, and then send follow‑up requests to generate emails, briefs, or summaries in the same environment.
From Content Pipelines to Voice‑Led Workflows
The company reports that its platform connects to more than 100 models from OpenAI, Anthropic, Google Gemini, xAI, Amazon Bedrock and Nova, Perplexity, DeepSeek, Flux, Nano Banana, Google Veo, and Stable Diffusion 3.5 Flash. Public materials state that these models support text, image, voice, and video generation in more than 53 languages, giving the voice‑driven tools reach across several regions and markets.
Content creation sits at the center of many of these workflows. My Main AI offers modules for blog posts, email campaigns, ad copy, social captions, video scripts, and structured frameworks such as AIDA, PAS, BAB, and PPPP. A user can dictate key points or paste a brief into the chat, receive draft text, ask the assistant to adjust tone or length, and then pass the result into voice synthesis to create a narrated version.
Visual tools fit into the same flow. DALL·E 3 HD, Stable Image Ultra, and an AI Photo Studio support image creation, product mock‑ups, background changes, and multiple variations from a single upload. AI Image to Video and text‑to‑video connections with engines such as Sora and Google Veo, alongside an AI Avatar feature labeled “coming soon,” make it possible to turn a spoken or typed brief into images, then into short clips that accompany the newly generated audio.
Why Businesses See Conversation as Infrastructure
Company data shared with partners cites more than 77,000 customers worldwide, annual revenue near 3 million dollars, and monthly revenue growth around 250,000 dollars, driven largely by subscription sales. The 49‑dollar plan is described as the best‑selling tier, with My Main AI presenting it as the entry point to the broader suite of conversational and automation tools.
Business‑oriented features show how these voice‑driven workflows connect to operations. The platform lists payment gateways such as AWDpay and Coinremitter, integrations with Stripe, Xero, HubSpot, and Mailchimp, and tools for SEO, finance analytics, dynamic pricing, wallet systems, and referrals. A manager can ask a chat assistant to pull figures, draft a report, and prepare customer messages, then move directly into sending campaigns or reviewing payments through linked services.
Company communications describe ongoing work on proprietary models, expanded training flows from text, PDFs, and URLs, and deeper tools for chat, analytics, and video. That roadmap suggests that My Main AI views conversation—spoken or typed—as a central control surface for complex workflows, with automation stepping in behind the scenes so users can focus on clear instructions rather than manual configuration.
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