Web 3.0, AI+NFT, Data2Vec! AI wins Poker, Summarizes research papers, Scans Eyes and Detects Emotions

Web3 is an umbrella term for ideas of eliminating the big middlemen on the internet.

To better understand Web3, let’s go through Web1 and Web2 first and have a comparison of the features.

Web1: Read-Only

The majority of users using the internet in the ‘90s were consumers on static web pages and rarely produced content. People came onto the internet to consume read-only content. There were a few “internet companies” controlled content on the internet.

Web2:?Read-Write

Web2 is what we mostly engage these days took over in the early 2000s.

It made space for everyone to become a content creator and consumer simultaneously on social networks, i.e. Linkedin, Twitter, and Facebook, who can leverage or sell personal data to generate impressive amounts of revenue because centralized companies have ownership over user data and all user-generated content.

Users can:

• Classify and sort information
• Create and develop APIs for interoperability across different software
• Create and share dynamic and responsive content with others
• Send and receive information from different sources
• Access content from mobile devices, multimedia consoles, televisions, and more

Web3: Read-Write-Own

The shift from Web2 to Web3 is largely due to infrastructure advancement and a mindset shift for developers as governance will be much more user-centered. With the removal of a middleman and data living on immutable infrastructure, there is no control over data and less risk of data loss.

One of the most significant implications of decentralization and blockchain technology is in the area of data ownership and compensation. As we move toward Web 3.0 and the technologies that support it mature and become scalable, I believe the web will reflect its original intent.

Non-fungible tokens (NFTs) will also play a huge role in reshaping the gaming industry by allowing players to become the immutable owners of the items they accrue.

Some believe that starting with Web3 is by setting up your crypto wallet (i.e. MetaMask) connected to decentralized apps to interact and conduct transactions.

Web 3.0 is a leap forward, it creates the infrastructure needed for humans and machines to interact, create, find, and share distributed data, make accurate predictions with artificial intelligence, and be empowered to control one’s identity through a web of trust, security, and?privacy.

• [MIT]? Meta’s new learning algorithm can teach AI to multi-task Data2vec uses two neural networks, a student and a teacher. First, the teacher network is trained on images, text, or speech in the usual way, learning an internal representation of this data that allows it to predict what it is seeing when shown new examples. When it is shown a photo of a dog, it recognizes it as a dog.
• [Verge]?A NEW USE FOR AI: SUMMARIZING SCIENTIFIC RESEARCH FOR SEVEN-YEAR-OLDS: a project that leverages recent advances in AI language processing to simplify science.
• [VB]? New startup shows how emotion-detecting AI is intrinsically problematic: [Facial expressions] in question are not ‘fingerprints’ or diagnostic displays that reliably and specifically signal particular emotional states regardless of context, person, and culture,”
• [ZDNet]?Google rolls out Vertex AI Forecast for retailers: It is a tool for retailers to help generate more accurate demand forecasts. The tool is part of the?managed Vertex AI platform?that Google rolled out last year to help enterprises quickly deploy machine learning.?
• [GEN]? Using AI to Assess Eye Scans, Scientists Find “Retinal Age Gap” Predicts Mortality Risk An international team of scientists has found that the difference between the biological age of an individual’s retina and that person’s real, chronological age, is linked to their risk of death.
• [Eurekalert]? Start of the European AI language model project Open GPT-X The OpenGPT-X project is starting with the goal of developing a large AI language model for Europe. Particular attention is being paid to data protection as well as European language diversity.

• [Wired] How to know when AI is the right solution: Business value, training data, and cultural readiness are essential for AI success. Without all three, traditional solutions are your best bet.
• [NY Times]?How A.I. Conquered Poker: Good poker players have always known that they need to maintain a balance between bluffing and playing it straight. Now they can do so perfectly.
• [Fortune] Men are creating AI girlfriends, verbally abusing them, and bragging about it: The friendship app Replika was created to give users a virtual chatbot to socialize with. But how it’s now being used has taken a darker turn.
• [VB]? 5 ways AI and ML will improve cybersecurity in 2022: Cyberattacks are happening faster, targeting multiple threat surfaces simultaneously using a broad range of techniques to evade detection and access valuable data.
• [The New Yorker]? The Rise of A.I. Fighter Pilots: Artificial intelligence is being taught to fly warplanes. Can the?technology be trusted?
• [IEEE] A First: AI System Named Inventor : A patent was granted that lists it as the creator of a food container

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See you next week ??Steve

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