Binance Square
LIVE
LIVE
Crypto De Nostradame
صاعد
--29.9k views
Vitalik Buterin Supports Dogecoin (DOGE) Community with Strategic Support. Vitalik Buterin, the founder of #Ethereum , expressed his sadness on social media over the death of his #Shiba Inu dog Kabosu, who became an internet phenomenon and the face of Dogecoin. Buterin's tweet, "Rest in Peace Kabochan," was a heartfelt response to Kabosu's owner Atsuko Sato's post announcing the death of her 19-year-old dog. Kabosu's image went viral in 2010, leading to the creation of Dogecoin by Billy Markus and Jackson Palmer in 2013. Since then, the Dogecoin community, known as the “Doge army”, has grown by leaps and bounds and Kabosu has become a lovable mascot. Kabosu's death resonated deeply in the crypto community. Prominent figures such as Elon #Musk and the official Dogecoin account also paid tribute. Musk tweeted that Kabosu was “ascending to heaven,” while #Dogecoin founder Billy Markus shared a meme of Kabosu talking to Death, with Death telling the dog, “I was told you were the best.” This wave of sadness and respect reveals the significant cultural impact Kabosu has had on the cryptocurrency world. This latest tribute isn't the first time Vitalik Buterin has shown his support for the Dogecoin community. In the past, Buterin has made several donations to the Dogecoin Foundation, an organization dedicated to the development and promotion of Dogecoin. In 2021, Buterin joined the foundation as a member and proposed several initiatives to develop cryptocurrency. One of his prominent suggestions was for Dogecoin to switch from a proof-of-work (PoW) algorithm to a proof-of-stake (PoS) system, which would increase its efficiency and sustainability. As the #Dogecoin community evaluates Kabosu's legacy, there is a renewed focus on the future of cryptocurrency. Switching to a proof-of-stake system, as suggested by Buterin, could be an important step. This change not only reduces the environmental impact of mining, but can also increase the security and scalability of the network. $BTC $DEGO

Vitalik Buterin Supports Dogecoin (DOGE) Community with Strategic Support.

Vitalik Buterin, the founder of #Ethereum , expressed his sadness on social media over the death of his #Shiba Inu dog Kabosu, who became an internet phenomenon and the face of Dogecoin. Buterin's tweet, "Rest in Peace Kabochan," was a heartfelt response to Kabosu's owner Atsuko Sato's post announcing the death of her 19-year-old dog. Kabosu's image went viral in 2010, leading to the creation of Dogecoin by Billy Markus and Jackson Palmer in 2013. Since then, the Dogecoin community, known as the “Doge army”, has grown by leaps and bounds and Kabosu has become a lovable mascot.

Kabosu's death resonated deeply in the crypto community. Prominent figures such as Elon #Musk and the official Dogecoin account also paid tribute. Musk tweeted that Kabosu was “ascending to heaven,” while #Dogecoin founder Billy Markus shared a meme of Kabosu talking to Death, with Death telling the dog, “I was told you were the best.” This wave of sadness and respect reveals the significant cultural impact Kabosu has had on the cryptocurrency world.

This latest tribute isn't the first time Vitalik Buterin has shown his support for the Dogecoin community. In the past, Buterin has made several donations to the Dogecoin Foundation, an organization dedicated to the development and promotion of Dogecoin. In 2021, Buterin joined the foundation as a member and proposed several initiatives to develop cryptocurrency. One of his prominent suggestions was for Dogecoin to switch from a proof-of-work (PoW) algorithm to a proof-of-stake (PoS) system, which would increase its efficiency and sustainability.

As the #Dogecoin community evaluates Kabosu's legacy, there is a renewed focus on the future of cryptocurrency. Switching to a proof-of-stake system, as suggested by Buterin, could be an important step. This change not only reduces the environmental impact of mining, but can also increase the security and scalability of the network.
$BTC $DEGO

إخلاء المسؤولية: تتضمن آراء أطراف خارجية. ليست نصيحةً مالية. يُمكن أن تحتوي على مُحتوى مُمول. اطلع على الشروط والأحكام.
0
الردود 1
استكشف أحدث أخبار العملات الرقمية
⚡️ كُن جزءًا من أحدث النقاشات في مجال العملات الرقمية
💬 تفاعل مع مُنشِئي المُحتوى المُفضّلين لديك
👍 استمتع بالمحتوى الذي يثير اهتمامك
البريد الإلكتروني / رقم الهاتف
مُنشِئ مُحتوى ذو صلة

استكشف المزيد من مُنشِئ المُحتوى

--
Impressive working video from OpenAI-supported humanoid robot company 1X 1X, a humanoid robot company supported by OpenAI, focuses on chaining tasks with its robot called Eve. A robot that can perform sequential tasks is approaching full autonomy. Just like the artificial intelligence developments experienced after the release of ChatGPT in November 2022, it seems that a similar development has occurred on the humanoid robots side. The first ChatGPT or similar ones before it worked only in question and answer format. However, today we can give them a task and make them fulfill the requirements of that task. That's exactly what humanoid robot firm 1X, backed by #ChatGPT developer #OpenAI , is trying to incorporate into its robot, Eve. While #1X wants to provide physical labor through safe, smart androids, the steps it takes also serve this purpose. The new video published by the company shows the humanoid robot Eve's ability to complete autonomous tasks one after the other. However, the company also points out that this is just the beginning of the journey. The company had previously developed an autonomous model that can combine many tasks into a single target conditional neural network. However, when multitask models were small (<100M parameters), adding data to correct the behavior of one task often negatively affected the behavior in other tasks. Although increasing the number of parameters comes to mind as the first solution for this, this time the training takes longer and delays which indicators need to be collected to improve the robot behavior. So how can we quickly iterate over data while creating a general robot that can perform many tasks with a single neural network? 1X's answer to this is quite clever. The firm says it separates the ability to quickly improve task performance from the process of combining multiple capabilities into a single neural network. To achieve this, the firm created a voice-controlled natural language interface to chain short-term capabilities into longer ones across multiple smaller models. $BTC $ETH
--
Important statement from NVIDIA CEO before COMPUTEX 2024! NVIDIA CEO Jensen Huang addressed industry leaders, press members, entrepreneurs and technology enthusiasts ahead of #COMPUTEX2024 . Huang said that Taiwan is the home of NVIDIA's most valuable partners and everything #NVIDIA does starts from here. He stated that they created the world's artificial intelligence infrastructure together with their partners in Taiwan. He touched on three main topics in his speech: What generative artificial intelligence is and its impact, the roadmap for the future, and what's next. Huang noted that the computer industry is about 60 years old and has experienced only a few major technological changes in that time. Today, we are on the verge of such a change. He said the performance growth of central processing units (CPUs) is slowing down, but our processing needs are increasing exponentially. This leads to computing inflation. The solution lies in accelerated computing, which they have been working on for 20 years. NVIDIA's #CUDA platform supports CPUs, accelerating workloads where dedicated processors can perform much better. Huang predicted that every application and data center will be accelerated in the future. Accelerated computing is a solution that is both logical and sustainable. Huang showed that 25 times more performance/Watt ratio can be achieved with only a 3-fold increase in power consumption and a 50% increase in costs, while providing 100-fold acceleration. Accelerated computing is no easy task. Software needs to be completely rewritten and algorithms restructured. #NVIDIA has been developing domain-oriented libraries for 20 years to meet this challenge. These include the deep learning library cuDNN, the artificial intelligence physics library, the 5G radio library Ariel, the chip manufacturing library cuLitho, the gene sequencing library Parabricks, the combinatorial optimization library cuOpt, and cuQuantum for quantum computer simulation. $BTC $ETH $BNB
--

آخر الأخبار

عرض المزيد
خريطة الموقع
Cookie Preferences
شروط وأحكام المنصّة