AI's potential to be more than just another tech advancement, posing risks we can't ignore.#VitalikButerin , the co-founder of Ethereum, has issued a stark warning about #Artificial_Intelligence (AI). He’s not grouping #AI with usual tech advancements like smartphones or social media. Instead, #Buterin places AI in a category of its own due to its potential to revolutionize society (much like the printing press or the wheel did). The twist? AI might outsmart us all, potentially becoming the dominant force on Earth. It's a leap into uncharted territory.The threat of superintelligent AIButerin’s concerns extend beyond typical tech fears. He cautions that a superintelligent AI could perceive humans as a threat, leading to catastrophic outcomes. And it’s not a distant future issue – AI is advancing rapidly. While we’d ideally want these superintelligent beings to be our allies, programming them to coexist with humans safely is a challenge we haven’t yet solve. This might sound like sci-fi, but it’s a topic being taken seriously in tech circles. Rob Bensinger from MIRI illustrates diverse opinions on the AI threat level. In a striking revelation, a 2022 survey among machine learning experts suggested a 5-10% chance of AI leading to human extinction. Despite sounding speculative, these concerns have been around for over a decade and warrant attention.Envisioning the future with AIButerin also invites us to consider what life would be like in a world ruled by AI. He refers to Iain Banks's Culture series, where humans coexist with powerful AIs. This imagined future offers longevity, health, and entertainment, but at a potential cost – humans may not be in control. This prompts a crucial question about our future coexistence with AI: Will we be partners, or merely passengers in a world driven by machine intelligence?

The crypto industry is constantly facing security issues. Therefore, it is important to remember to apply security methods. Ethereum founder Vitalik Buterin has repeatedly shared his wisdom with cryptocurrency users.
Recently, Buterin published an article analyzing the growing risks in the cryptocurrency sector, including the problem of “deep fakes” and their implications for security measures.
Let’s take a closer look at this article.
In his article, Buterin writes that every year it becomes harder and harder to recognize deep fakes as they become more realistic in appearance. He says that he recently became a target himself when a video featuring him was used to promote a scam and questionable investments.
He also emphasizes that audio and video recordings of a person are no longer a safe method of identifying their authenticity, citing the example of a company that lost $25 million due to a video conversation with a deep fake.
Cryptographic Signatures Are Not The Only Solution
Buterin criticizes the approach to cryptographic signatures as a method of verification. In his view, this approach ignores the broader context of security – the human factor.
Buterin argues that the practice of multiple signatures for transaction approval, which is intended to provide multi-level verification, can fail because an attacker can impersonate the manager not only for the last request but also for the previous stages of the approval process.
“The other signers accepting that you are you, if you sign with your key, kills the whole point: it turns the entire contract into a 1-of-1 multisig where someone needs to only grab control of your single key to steal the funds!” he notes.
Personal Questions As a Security Measures
Buterin writes: “Suppose that someone texts you claiming to be a particular person who is your friend. They are texting from an account you have never seen before, and they are claiming to have lost all of their devices. How do you determine if they are who they say they are?”
Probably inspired by Harry Potter, Buterin proposed a simple but powerful method of protection as a solution: “Ask them things that only they would know about their life.”
It is better to ask them, for example, about your experiences together:
When the two of us last saw each other, what restaurant did we eat at for dinner, and what food did you have?
Which movie did we recently watch that you did not like?
Which of our friends made that joke about an ancient politician?
The more unique your question, the better. Questions that make a person think, and they may even forget the answer, are good, but if your opponent claims to have forgotten, ask them a few more questions.
It’s always better to ask questions that relate to some “micro” details (what someone liked/disliked, personal jokes, etc.) than “macro” questions. Since the former are usually much harder for third parties to accidentally dig up (e.g. if even one person posted a photo of the dinner on Instagram, modern LLMs may well be fast enough to catch that and provide the location in real-time)
It Is Always Better to Combine Several Security Strategies
There is no perfect security strategy, so it’s best to combine several methods at once.
You can agree with a friend in advance on the passwords that you will use to authenticate each other. Or you can agree on a “duress” key, a word you can use to signal that you are being coerced or threatened.
The word should be common enough that you feel natural using it, but rare enough that you don’t use it accidentally in everyday conversation.
If you receive an ETH address, ask the person to send it to you through several communication channels (other social networks or messengers).
Protection against MitM attacks: Man-in-the-middle attacks are a common threat in digital communications. It involves an attacker covertly transmitting and potentially altering messages between two parties who believe they are communicating directly with each other.
To solve this problem, Buterin suggests using cryptographic protocols such as Transport Layer Security (TLS) and Secure Sockets Layer (SSL) to encrypt data in transit, making intercepted conversations unintelligible to outsiders.
Additionally, the implementation of end-to-end encryption in messengers ensures that only the users who are speaking can read messages, effectively eliminating the threat posed by these attacks.
The expert concludes the article with the following words: “Each person’s situation is unique, and so the kinds of unique shared information that you have with the people you might need to authenticate with differs for different people. It’s generally better to adapt the technique to the people, and not the people to the technique. A technique does not need to be perfect to work: the ideal approach is to stack together multiple techniques at the same time, and choose the techniques that work best for you.”
SoulBound Token
Vitalik Buterin is known for his brilliant ideas for projects. SoulBound Token was one of those projects. The Ethereum founder, along with lawyer Puja Alhaver and economist Eric Glenn, first proposed the concept in May 2022 to address some of the shortcomings of non-fungible tokens (NFTs) and similar ones.
SoulBound Token is an irreplaceable token valid for only one address that cannot be transferred or sold. This feature makes them ideal for representing assets that cannot be acquired through purchase, such as certificates of competence, reputation, medical records, etc.
SBT can be used for a variety of purposes, for example:
Maintaining medical recordsStorage of digital identity cardsMaintaining an employment record bookVerification of event attendanceAllows people to build a verified digital reputation based on past actions
Some companies and organizations have also used SBT to create a decentralized and secure digital identification system, for example:
Binance – launched its own SBT called Binance Account Bound (BAB) to improve Web3 identity verification and prevent fraud.
WhiteBIT – their Web3 service, WB Soul Ecosystem, allows for the recreation of a user’s identity in the Whitechain through the WB Soul and characterizes it according to your account.
Blockmate – discussing the use of SBT to display payment and debt history, enabling unsecured lending and improving credit scores.
Summary
Even though the expert recently stated that he is already “outdated” and will soon be replaced by a new talent, people still find his ideas and advice useful. They have repeatedly made life easier not only for cryptocurrency users but also for people not connected with crypto. And while Buterin hasn’t left cryptocurrencies yet, we will be waiting for new brilliant ideas from him.
#News #security #Buterin #deepfake

Vitalik Buterin, one of the key creators of Ethereum, has proposed a plan aimed at increasing decentralization within the cryptocurrency by introducing penalties for validators based on their deviation from the average failure rate.
On March 27th, Buterin presented the idea of reinforcing decentralized staking through "anticorrelation incentives" on the Ethereum Research forum. His proposal suggests that validators controlled by the same entity and failing together should be penalized more than if they failed independently.

Buterin pointed out that mistakes made by major players are likely to affect all the "identities" they control, especially if validators are part of the same cluster, leading to correlated failures due to shared infrastructure.
Support for Smaller Stakers
According to Buterin's proposal, penalties for validators should be calculated proportionally to their deviation from the average failure rate. This would mean that if a larger number of validators fail at a certain point, the penalties would be stricter.
Simulation models suggest that this approach could curb the dominance of large Ethereum holders over smaller ones, as larger entities have a higher likelihood of correlated errors leading to abrupt increases in failure rates.
One expected benefit is to promote decentralization by making separate infrastructures economically more viable for each validator, thereby increasing the competitiveness of solo staking against staking pools.
Buterin is also considering additional measures, including various penalty regimes aimed at reducing the advantage of larger validators over smaller ones, and focusing on exploring their impact on geographic and software decentralization.
The proposal does not include a change in the minimum amount for solo staking, which currently stands at 32 Ether, approximately equivalent to $111,500.
Staking pools and services offering liquid staking, such as Lido, continue to gain popularity, allowing participation in staking with a smaller volume of ETH. Currently, Lido manages ETH worth $34 billion, roughly 30% of the total Ethereum supply in circulation.
Developers and supporters of Ethereum have previously raised concerns about the risks associated with Lido's dominance and the potential for "cartelization," which could lead to disproportionate profits compared to non-pooled capital.
$ETH
#Ethereum #ETH #Vitalik #Buterin

Notice:
,,The information and views presented in this article are intended solely for educational purposes and should not be taken as investment advice in any situation. The content of these pages should not be regarded as financial, investment, or any other form of advice. We caution that investing in cryptocurrencies can be risky and may lead to financial losses.“

#Ethereum co-founder, Vitalik Buterin, warns developers about the necessity of caution when integrating artificial intelligence (AI) and blockchain technology. In a recent blog post from January 30, #Buterin emphasizes the need for a considered approach, especially in the development of new applications in areas of high value and risk.
Challenges and Risks Associated with #AI and #Blockchain
Buterin reminds developers of the risks associated with using AI in critical applications, such as predictive markets or stablecoins, where AI could be utilized as an oracle. If such an oracle were to be vulnerable, it could lead to significant financial losses.
 

One of the potential benefits of AI is its use in predictive markets or in the interfaces of #cryptocurrency wallets, where it could help users better understand and safely interact with cryptocurrencies. However, Buterin highlights that fully automated AI interfaces bring an increased risk of errors, while a combination of AI with traditional interfaces could be more viable.
Security Concerns and the Potential of Artificial Intelligence
According to Buterin, the riskiest use of AI is in rule enforcement or management of crypto systems, as the open-source code of artificial intelligence might be susceptible to attacks. AI with closed-source offers a degree of security but lacks transparency and may not be unbiased.
An example of closed-source AI is the Worldcoin project by OpenAI, which relies on "trusted hardware" instead of an open approach to the AI model.
Challenges of Decentralized Artificial Intelligence
Buterin considers the greatest challenge to be the creation of decentralized artificial intelligence utilizing crypto and blockchain, which could serve as a foundation for other applications. The goal is to create a "singleton" – a single decentralized trustworthy AI that various applications could rely on. These applications could improve both the functionality and security of AI while avoiding the centralization risks associated with more common approaches to this issue.
Buterin concludes that despite the potential benefits, there are challenges and risks that could cause the fundamental assumptions of using AI in the blockchain environment to fail.
$ETH

Notice:
,,The information and views presented in this article are intended solely for educational purposes and should not be taken as investment advice in any situation. The content of these pages should not be regarded as financial, investment, or any other form of advice. We caution that investing in cryptocurrencies can be risky and may lead to financial losses.“