Theta Network (THETA and TFUEL)

foolsgold said:

How would I go about combining all the TFUELs into a single place?

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1. Open/select your Edge Node application
2. Using the menu at the top of the window, select Wallet > Export Wallet as Keystore. You will need to create a password. The password should be something you will remember. This will save a text file onto your computer. This text file is your key to using the Theta wallet associated with this Edge Node instance. This step only needs to be done once (as long as you can remember your password - you can repeat this to create a new password/keystore file if you ever forget).
3. Using the menu at the top of the window, select Wallet > Theta Wallet (Web). This will open your internet browser to the Theta Wallet.
4. In the Theta Wallet, click the "Choose Keystore file" button and find the keystore file you created in the step 2. Then enter your password and click Unlock Wallet. It can take a moment for the site to process it before the wallet portal opens.
5. You should now be able to send and receive Theta and TFUEL from one wallet to another. Your wallet address should be visible at the top of the screen (it's also listed on the Edge Node software with an easy click to copy to the clipboard as well).

Breaking — Updates from
@theta_con
2025:

-Edge Nodes: Confirmed deployed on AWS and Google Cloud and continued focus on having additional cloud providers and data centers implement edge nodes. Also, there is an edge node software update coming soon to improve user experience.

-Exchanges: A U.S. listing is top priority for 2025—Coinbase may not be first. Robinhood or Kraken could be on the table, but the team can’t confirm who or when.

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@LavitaAI
Partnership: Ali shared an exciting vision for an ecosystem connecting healthcare data, providers, and patients. A Q1 app release will integrate with major EHRs and 23&Me to bring genomic and patient data together. Privacy and security remain paramount, and a continually improving $LaVita AI chatbot will offer personalized insights. Future EHR integrations will expand into Southeast Asia and eventually Europe.

-Validator Unstaking: $Theta Labs may need to unstake its validator by August 2025 for “special reasons.”

-FedML Reengagement: Shared investors between Theta Labs and FedML suggest future collaboration, once FedML’s Web3 strategy is more defined, which they are working on now.

-Major Sports Deal: Theta Labs is close to sealing a massive professional sports partnership. To support this, workload demand may expand, with more jobs hitting edge nodes. They are carefully analyzing the network’s infrastructure to ensure they can handle the incremental usage.

-Elite Booster Yield: The team is exploring options for enhanced $TFUEL yield by adding staking rewards atop elite booster rewards. Any extra yield will be returned once booster $TFUEL is unlocked. They are analyzing smart contract dynamics to assess feasibility.

-On-Demand API: A new edgecloud feature they are working on to potentially host models on the edge network, enabling more on-demand usage. Intelligent job routing will need to be leveraged to ensure efficient GPU resource allocation as demand scales.

-Mitch anticipates Bitcoin hitting its next plateau around the $150K–$200K range, after which he expects capital to flow into altcoins. Combined with rising network demand, and the potential boost from a U.S. exchange listing, these factors could set the stage for a standout year in 2025—if everything unfolds as projected.

-Mitch views professional sports and e-sports chat bots powered by #AI RAG technology to be a big opportunity for the Theta Network and is a primary focus.

-The team has allocated a few million dollars to an influencer marketing campaign, not to shill but to educate why folks should be using solutions powered by the theta network. This campaign should kick off in 1H 2025.

-Mobile edge node adoption may grow as fans who earn tokens through professional sports and e-sports engagement look to put those tokens to work by downloading and running the mobile edge node.

-One or two announcement is on hold until market dynamics improve.

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Lavita is a Medical AI​

SINGAPORE, December 22, 2022 – (SEAPRWire) –Lavita, a Singapore-based healthcare technology company, announced the launch of the Lavita platform, the first Web3 decentralized, peer-to-peer data marketplace connecting healthcare providers and individuals.

Lavita’s vision is to revolutionize the way 8 billion individuals around the world detect, analyze, diagnose, and treat health and genomic issues, enabling earlier intervention and improved health outcomes. Lavita’s Web3 healthcare data marketplace will not only provide a secure infrastructure to share private health and genomic data, but also will ensure incentive mechanisms for all individuals and healthcare providers.

The Lavita platform allows participants to contribute their own private health and genomic data and be rewarded in LAVITA tokens, a new set of TNT-20 tokens natively built on the Theta Metachain. These rewards can then be used to pay for services from participating healthcare institutions and are supported by the Theta Edge Network, a decentralized blockchain infrastructure providing distributed computation, data storage and delivery.

“Theta has been the leading Web3 infrastructure for the video, media and entertainment industry, and now we are thrilled to see Lavita spearhead adoption within the healthcare industry”, said Mitch Liu, co-founder and CEO of Theta Labs. “The Lavita platform will allow users to share high-quality health and genomic data with pharmaceutical companies and laboratories worldwide, in a completely secure and privacy preserving approach powered by Theta. Integrating Intel SGX architecture with the Theta edge network is groundbreaking and opens up a new class of secure, distributed applications built on the Theta Metachain.”

The platform connects individuals with data miners such as pharmaceutical and research companies to participate in new drug trials and treatments, for example, and gain insightful genetic information and latest research findings based on their clinical needs. Lavita integrates AI and state-of-the-art privacy preserving technologies in a new approach to healthcare data analysis. For instance, AI-aided disease prediction in the healthcare industry has drastically improved diagnosis approach, clinical decision making, and significantly reduced healthcare costs.

“Lavita applications ensure that individuals and healthcare institutions can perform more efficient clinical analysis and find higher quality data using AI-powered semantic search and other natural language processing algorithms. Patients receive well-informed genetic information and analysis based on their clinical needs. We believe that conversational AI is one of the most important foundational technologies in the healthcare industry for the next decade,” said Ali Farahanchi, Lavita Head of business operations.

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Medical question-answering (QA) systems are critical in modern healthcare, providing essential tools for medical practitioners and the public. Long-form QA systems differ significantly from simpler models by offering detailed explanations reflecting real-world clinical scenarios’ complexity. These systems must accurately interpret nuanced questions, often with incomplete or ambiguous information, and produce reliable, in-depth answers. With the increasing reliance on AI models for health-related inquiries, the demand for effective long-form QA systems is growing. These systems improve healthcare accessibility and provide an avenue for refining AI’s capabilities in decision-making and patient engagement.
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A team of researchers from Lavita AI, Dartmouth Hitchcock Medical Center, and Dartmouth College introduced a publicly accessible benchmark designed to evaluate long-form medical QA systems comprehensively. The benchmark includes over 1,298 real-world consumer medical questions annotated by medical professionals. This initiative incorporates various performance criteria, such as correctness, helpfulness, reasoning, harmfulness, efficiency, and bias, to assess the capabilities of both open and closed-source models. The benchmark ensures a diverse and high-quality dataset by including annotations from human experts and utilizing advanced clustering techniques. The researchers also employed GPT-4 and other LLMs for semantic deduplication and question curation, resulting in a robust resource for model evaluation.

The creation of this benchmark involved a multi-phase approach. The researchers collected over 4,271 user queries across 1,693 conversations from Lavita Medical AI Assist, filtering and deduplicating them to produce 1,298 high-quality medical questions. Using semantic similarity analysis, they reduced redundancy and ensured that the dataset represented a wide range of scenarios. Queries were categorized into three difficulty levels, basic, intermediate, and advanced, based on the complexity of the questions and the medical knowledge required to answer them. The researchers then created annotation batches, each containing 100 questions, with answers generated by various models for pairwise evaluation by human experts.
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We’re thrilled to announce that Lavita AI’s research on building a new, publicly available Medical QA Benchmark has been accepted to the AIM-FM: Advancements in Medical Foundation Models at NeurIPS 2024, the leading AI research conference in the world! We’ll be in Vancouver this December to share our work:
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Lavita Crypto is a Utility Token​

Lavita platform brings together three technologies, namely distributed blockchain infrastructure, AI, and privacy-preserving computing to implement a fully decentralized data marketplace.

1. Blockchain and smart contracts enable a marketplace that incentivizes data contributors to share their data while protecting their ownership of data. The use of blockchain technology removes the middlemen in the conventional data marketplace, lowers the cost of data curation for medical research, and introduces an incentive mechanism that encourages users’ participation to contribute their private data and receive rewards.

Lavita platform incentivizes individuals and healthcare institutions to share healthcare data, and get rewarded with a new TNT-20 “LAVITA” token, built on the Theta blockchain. This token will be utilized not only for users sharing data but also for offering storage and computation capabilities. This will be enabled by the Theta Edge Network, the decentralized blockchain infrastructure providing secure distributed data storage (Theta EdgeStore), computation, and more. More details of these components are described in Section 3.

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So what is vLavita?​

Lavita Staking​

pmbug said:

I'm aware that the interview exists, but I have not had time to watch it.

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We’re pleased to announce that Hanyang University’s Electromagnetics & Intelligent Design Lab (EIDL) has joined as the latest EdgeCloud AI customer. This further establishes EdgeCloud as the most widely adopted decentralized platform for advanced AI research powered by a hybrid cloud edge GPU architecture.
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Theta Labs, a global leader in decentralized cloud infrastructure for AI, media, and entertainment, announces that Michigan State University (MSU) will be adopting its EdgeCloud platform for AI research, joining University of Oregon in the US as the second academia customer. MSU’s Secure and Intelligent Things (SEIT) Lab, directed by Associate Professor Qiben Yan, will leverage Theta’s advanced decentralized GPU infrastructure to drive innovation in AI, cybersecurity, and distributed systems.
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We’re thrilled to welcome Nanyang Technological University, Singapore (NTU Singapore), one of the most prestigious universities in Asia as the latest EdgeCloud academia customer. Ranked among the top two universities in Singapore, alongside the National University of Singapore (NUS), and 15th globally in the QS World University Rankings 2025, NTU stands among elite institutions such as MIT, Stanford, and the University of Pennsylvania.

The Speech and Language Laboratory, developed in collaboration with Professor Li Haizhou (National University of Singapore) and Professor Chng Eng Siong from NTU, joins Theta Labs’ premium network of academic partners including Seoul National University, KAIST, University of Oregon, Peking University, and many others.
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Goldhedge said:

Anyone get rich from TFUEL yet?

Compare the cost of energy vs how much it costs running Theta on a computer using said energy?

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We’re excited to announce that Nubila, a DePIN protocol building the world’s largest Real World Data Network, will use Theta EdgeCloud’s distributed GPU resources to support AI model training on the large data sets generated by their real-time weather data network.
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Theta is proud to announce its latest academic customer, Kangwon National University Data Analytics & Machine Intelligence (DAMI) Lab, led by Professor Kyeongpil Kang.

Kangwon National University is Theta EdgeCloud’s 23rd AI and video customer which marks a significant milestone, collectively achieving over 85% GPU utilization rate across its worldwide network and over 230 million TFUEL locked by Elite Booster node operators. ...
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The Data Analytics & Machine Intelligence (DAMI) Lab at Kangwon National University focuses on large-scale AI research, with expertise in natural language processing, multimodal AI, and knowledge extraction.
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