{"id":165241,"date":"2023-09-29T19:32:28","date_gmt":"2023-09-29T14:02:28","guid":{"rendered":"https:\/\/dripp.zone\/news\/?p=165241"},"modified":"2023-09-29T19:32:28","modified_gmt":"2023-09-29T14:02:28","slug":"get-paid-to-train-ai-theres-a-new-cryptocurrency-for-that-crypto-news","status":"publish","type":"post","link":"https:\/\/dripp.zone\/news\/get-paid-to-train-ai-theres-a-new-cryptocurrency-for-that-crypto-news\/","title":{"rendered":"Get Paid to Train AI? There\u2019s a New Cryptocurrency for That – Crypto News"},"content":{"rendered":"
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By merging Web3 and artificial intelligence, Vivoka<\/a> is introducing a new way to collect data to train our robot overlords.<\/p>\n

Under the leadership of William Simonin and the voice-recognition acumen of Vivoka, the company has just rolled out the private beta for its new project \u201cTa-Da,\u201d a play on the word data.<\/p>\n

Public beta is expected next quarter.<\/p>\n

\u201cThrough ‘Ta-da,’ we envision a platform where diverse AI firms, transcending just speech recognition, can requisition data, ensuring affordability without compromising on quality,\u201d Simonin told Decrypt<\/i>.<\/p>\n

Tapping blockchain technology, Ta-Da aims to encourage users worldwide to share data they will create by accomplishing various tasks like reading a sentence, writing a text, or recognizing an object.<\/p>\n

The collected data, which could include voice recordings, images, videos, and texts, will then be accessible to businesses for the purpose of AI model training.<\/p>\n

Users are then rewarded with TADA tokens for their contributions.<\/p>\n

Developed on the MultiversX blockchain<\/a>, the platform aims to address key challenges faced by companies using data to train AI models, specifically those of high costs and inconsistent data quality.<\/p>\n

\u201cWe perceive blockchain providers as pivotal technical allies,\u201d Simonin told Decrypt<\/i>. \u201cCollaborating with MultiversX feels more intimate and prioritized than being one amongst countless projects on alternative platforms.”<\/p>\n

Ta-Da’s model also prioritizes user privacy by relying solely on volunteer-generated data, a stark contrast with the practices of companies such as Meta and Amazon.<\/p>\n

Meta Platforms utilized public posts from Facebook and Instagram to train<\/a> its Meta AI virtual assistant, while Amazon leveraged<\/a> actual user conversations to refine Alexa’s AI model.<\/p>\n

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Ta-Da AI takes aim at diverse audio data<\/h2>\n

Given the focus on voice recognition, one of Ta-Da\u2019s main purposes is to amass voice recordings in myriad languages, all intended to fine-tune AI voice recognition systems.<\/p>\n

With Vivoka, William Simonin spent years crafting a tech solution supporting 42 languages and tailored for voice development kits, enabling businesses in diverse sectors like robotics and logistics to embed it within any speech interface.<\/p>\n

The firm currently works with approximately 100 global clients, and its technology is embedded in over 100,000 devices globally.<\/p>\n

It\u2019s through this extensive work that he identified challenges within the nascent voice data collection sector.<\/p>\n

The immense volume of data required for refinement can be prohibitively expensive. The price tag for 1,000 hours of audio can cost as much as $100,000. It’s common for companies focused on AI to allocate budgets ranging from $100,000 to $1 million annually just for this type of data.<\/p>\n

Furthermore, concerns frequently arise regarding the data’s authenticity and quality. “Only about 5-10% of a dataset undergoes rigorous examination,” noted Simonin, drawing attention to challenges like inferior data quality and inadequate compensation for genuine contributors.<\/p>\n

The challenge remains in securing a diverse and expansive audio dataset, particularly when seeking to understand complex languages. “An AI trained solely on a male voice might perform exceptionally with that specific input. However, its accuracy could falter when a woman interacts with it,” Simonin explained.<\/p>\n

Ta-Da will thus offer higher rewards for rarer voices.<\/p>\n

“You will have access to various tasks, each offering different remuneration,\u201d Simonin told Decrypt<\/i>. \u201cFor instance, if you speak a particular language with a specific accent, Ta-Da might pay more for unique requirements, such as someone who can speak Corsican with an English accent.”<\/p>\n

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Stay on top of crypto news, get daily updates in your inbox.<\/h3>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

By merging Web3 and artificial intelligence, Vivoka is introducing a new way to collect data to train our robot overlords. Under the leadership of William Simonin and the voice-recognition acumen of Vivoka, the company has just rolled out the private beta for its new project \u201cTa-Da,\u201d a play on the word data. Public beta is […]<\/p>\n","protected":false},"author":2,"featured_media":165242,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[230,225,221,227,226,228,229,60,223,224,222],"class_list":["post-165241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cryptocurrency","tag-brave","tag-coinbase","tag-crypto","tag-decentralised","tag-decentralized","tag-decentralized-exchange","tag-erc-20","tag-featured","tag-meme-coin","tag-robinhood","tag-solana"],"_links":{"self":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/165241","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/comments?post=165241"}],"version-history":[{"count":2,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/165241\/revisions"}],"predecessor-version":[{"id":165248,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/165241\/revisions\/165248"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media\/165242"}],"wp:attachment":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media?parent=165241"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/categories?post=165241"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/tags?post=165241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}