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<h2>The last Bitcoin may be mined by miners by 2140, after which their only source of income will be transaction fees.</h2><figure id="figure-edbyp1xsblz9pj7ir"><img id="edbyp1xsblz9pj7ir" src="https://cdn.durable.co/blocks/12tQ4SaXlF5My4IphYBti8QflLtrIMg8XSLzIaVyJRRa721Gn4CTqHsv1Gc8WIBz.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 3/2; object-position: center center;" data-corners="default" data-aspect="3:2" data-caption="" data-positionX="undefined" data-positionY="undefined" data-fullWidth="false"/></figure> This was stated on the Nasdaq American stock exchange. The creator of Bitcoin, Satoshi Nakamoto, set a hard limit of 21 million bitcoins, which should not be exceeded until more than 19 million have been mined. Miners have two ways to earn money: new block rewards and transaction fees. With each new block that is added to the blockchain, they receive 6.25 bitcoins, but this “prize” decreases over time. 🪙"The algorithm that runs Bitcoin is set up so that every ten minutes a new block is added to the Bitcoin blockchain, and the miner who verifies and adds that block receives a block reward. The current block reward is 6.25 Bitcoins per block, which means "that 900 new bitcoins are added every day. After 210,000 blocks, the reward is halved, which is called halving. The impact of halving is significant, since miners immediately lose half of their income from block rewards," the Nasdaq exchange clarified. 🔄💰Some experts believe that as the network grows and the number of users increases, fee income will increase, thereby compensating for the lack of block rewards.

The last Bitcoin may be mined by miners by 2140

<h2>The realm of neural networks is advancing at an extraordinary pace.</h2><figure id="figure-lzvbt7z14klz9pdtw0"><img id="lzvbt7z14klz9pdtw0" src="https://cdn.durable.co/covers/16sWCNWP4ScCspDAcmRz4DaS9Id1pWpwHEgMBmN4StOksGmc83OrUqIoNMZiJZsb.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionX="undefined" data-positionY="undefined" data-fullWidth="false"/></figure> What once seemed like science fiction—creating images from textual descriptions—is now a reality, with numerous platforms competing to deliver the best and most realistic results. But how do you choose the right tool for your needs?In this review, we'll skip the technical jargon and complex details. Instead, we’ll evaluate popular neural networks by setting specific tasks and seeing which one excels.### Bing AI Image Creator Bing AI Image Creator is a fantastic way to explore the world of the DALL-E neural network. Microsoft has integrated this cutting-edge technology into its Bing browser, providing users with a simple and user-friendly AI-based image editor. The main advantage is the use of DALL-E 3, an improved and more advanced version of the premium neural network. This makes it accessible for anyone with a Microsoft account, allowing the creation of over 100 images daily, with speed being the only limit set by credit restrictions.### DALL-E Launched by OpenAI in 2021, DALL-E was one of the pioneering neural networks to excel at generating images from text descriptions. The latest iteration, DALL-E 3, was released in late September 2023, with public access available from early October.Accessible for free via Bing Image Creator or through a paid ChatGPT subscription, DALL-E stands out for its accessibility. Users can create over 100 images daily, with speed being the only limit set by credit restrictions.### Midjourney For years, Midjourney has set the gold standard in the world of neural networks. Boasting 15 million users, this platform is far from stagnant; it sees over a million new images created daily.&nbsp;Midjourney's success can be attributed to several factors. Firstly, it generates stunning, detailed images with well-defined styles. Secondly, it offers users a plethora of creative options, from aspect ratios to dispersion, styles, and filters.### Kandinsky Developed by Sber, Kandinsky is a Russian-language neural network that creates images and other content from text descriptions. Unlike Midjourney, which is known for its cartoonish images, Kandinsky focuses on photorealism.Kandinsky uses diffusion principles: initially "noising" the image to something akin to a static TV screen, and then step-by-step refining it to achieve realistic results.### Playground AI Playground AI is a pleasant surprise for those seeking a powerful and user-friendly image creation tool without breaking the bank. Particularly beneficial for Russian users, this platform operates without the need for a VPN and offers a generous 500 free images daily.Based on the cutting-edge Stable Diffusion model, Playground AI also has a premium tier starting at $12, providing enhanced features. However, users in Russia might face some payment challenges.### Leonardo AI Leonardo AI is more than just another free image generation tool. It’s a comprehensive creative instrument with extensive capabilities. Beyond standard text-to-image or image-to-image generation, Leonardo AI allows users to train and upload their own models, experiment with settings, prompts, and styles, and achieve impressive results. A five-step guide helps new users get acquainted with the platform.### Starry AI Starry AI is an excellent choice for beginners venturing into the world of neural networks and image generation. It offers a straightforward interface and simple editor, making it accessible even for newcomers. If users struggle with phrasing their requests, Starry AI provides helpful suggestions to ensure they get the desired outcome.Choosing the right AI tool depends on your specific needs and preferences. Whether you prioritize user-friendliness, advanced features, or photorealistic outputs, there’s a neural network out there to suit your creative ambitions.

The Best Neural Networks for Image Creation!

<h2>Apple has resolved a vulnerability in its Vision Pro headset that allowed websites to display frightening images, such as spiders and mice, on the screen. </h2>This issue, linked to the device's built-in Safari browser, was exploited by malicious actors who configured the browser to show these unsettling objects when users visited certain sites.<figure id="figure-pz0r6v79qlylhx3aj"><img id="pz0r6v79qlylhx3aj" src="https://cdn.durable.co/blocks/191EHIHTNZT8vsEANfwBx6byWTf7bIlC7blXmWQPdyE9TjSTgIvU9poxW6vML0GO.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://cdn.durable.co/blocks/191EHIHTNZT8vsEANfwBx6byWTf7bIlC7blXmWQPdyE9TjSTgIvU9poxW6vML0GO.jpg" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure>PC Gamer reported on the situation, highlighting that while the vulnerability did not pose any real danger to users, the sudden appearance of spiders, mice, and bats could cause discomfort. These unexpected visuals could disrupt one's mood, drain inspiration, and make it difficult to concentrate on tasks. Experts noted that websites could be configured to display different content across various devices.The vulnerability was discovered by independent researcher Ryan Pickren, also known as a "white hat hacker." Earlier this year, he detailed the issue to Apple's engineers, and the company successfully patched the vulnerability in a June OS update. By July, users no longer encountered these disturbing situations.

Apple Addresses Vision Pro Vulnerability That Could Display Scary Images

<h2>Scientists from China (Tianjin University and Southern University of Science and Technology) presented a new technology "MetaBOC", which can become an alternative to artificial intelligence. </h2>This innovation is based on the integration of the human brain and computer technology. Biocomputers are created from human brain tissue and connected to special chips."MetaBOC" is an open source platform designed for the use of biocomputing in various fields. Organoids from human brain tissue demonstrate excellent results in learning, surpassing the capabilities of traditional AI and neural networks. An important advantage of biocomputers is their flexibility and ability to adapt to specific tasks.<figure id="figure-0vghthwpqslyd6dd74"><img id="0vghthwpqslyd6dd74" src="https://cdn.durable.co/blocks/3bUk092WzqRKQB9bQMxT1EvwNPiqJvXGl3GumvY8ayg03EIXxr52iZlDybsutSH6.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 3/2; object-position: center center;" data-corners="default" data-aspect="3:2" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://cdn.durable.co/blocks/3bUk092WzqRKQB9bQMxT1EvwNPiqJvXGl3GumvY8ayg03EIXxr52iZlDybsutSH6.jpg" data-mce-style="aspect-ratio: 3/2; object-position: center center;"></figure>However, biocomputers also have their drawbacks: they require protection and satisfaction of biological needs (heating, power, protection from external influences). In addition, it is difficult to establish communication with such intelligence, since the brain tissue does not have tools for input and output of information.To solve this problem, researchers propose using AI to help develop a “language” for communicating with biocomputers. Already, this unique technology is capable of controlling robots, avoiding obstacles and navigating the terrain.<figure id="figure-76h6orhh8lyd6e31i"><img id="76h6orhh8lyd6e31i" src="https://cdn.durable.co/blocks/206FMJry04bPJuzrMScEqGF9s5BvWqOnVPpQmjCKP6fRgI5p13t2xTySoMf6g7YH.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 3/2; object-position: center center;" data-corners="default" data-aspect="3:2" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://cdn.durable.co/blocks/206FMJry04bPJuzrMScEqGF9s5BvWqOnVPpQmjCKP6fRgI5p13t2xTySoMf6g7YH.jpg" data-mce-style="aspect-ratio: 3/2; object-position: center center;"></figure>Brett Kagan of Cortical Labs notes that from an ethical point of view there are no contradictions, since biocomputers, despite the use of living tissue, are not living beings and do not have consciousness. The tissue for development is grown artificially, and further development may lead to the emergence of consciousness in biocomputers.

New Era of Technology: Biocomputers as an Alternative to AI

<h2>Elon Musk, the founder of xAI, has announced grand plans to develop the next generation of language models, Grok.</h2> The company plans to use 100,000 NVIDIA H100 GPUs for training Grok 3.These resources far exceed those used by competitors. For example, OpenAI's GPT-4, rumored to have been trained on 40,000 NVIDIA A100 GPUs, which are now considered outdated compared to the H100.<figure id="figure-uyloqcs51blylhr230"><img id="uyloqcs51blylhr230" src="https://cdn.durable.co/blocks/33U3QPwgCRFtJANKncDyvoNVKWaxBSv7tryInajqGXFhWUheLRfBv6sIcqTEI5dt.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://cdn.durable.co/blocks/33U3QPwgCRFtJANKncDyvoNVKWaxBSv7tryInajqGXFhWUheLRfBv6sIcqTEI5dt.jpg" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure>Musk recently tweeted that Grok 3 will be "significantly larger" than previous versions. He emphasized that training language models on internet data requires enormous computational resources.Grok is being developed as an AI assistant for premium users of the platform X (formerly Twitter). xAI plans to release an intermediate version, Grok 2, in August, and then move on to developing Grok 3. Estimates suggest that training Grok 3 could cost around $3 billion. Musk also plans to acquire NVIDIA Blackwell B200 accelerators for around $9 billion.Experts believe that such significant investments could make xAI a leader in the AI market. While competitors are gradually improving their models, xAI is betting on a qualitative leap through the use of colossal computational resources.&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp;

Musk's Quest for the Perfect AI: 100,000 GPUs and $3 Billion for Grok 3

<h2>Elon Musk admitted that the delay in disclosing information about his large stake in Twitter in 2022 was due to an error.</h2><figure id="figure-qtrkx7saolz9qxfs6"><img id="qtrkx7saolz9qxfs6" src="https://cdn.durable.co/covers/bPQFqNm3bDx6lKiwjCv0cIhk7ZwyXDIZlJiUQjw2yAVu5qd15gViyKvVEdfVWDJJ.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionX="undefined" data-positionY="undefined" data-fullWidth="false"/></figure> When Musk acquired the company in October 2022, legal battles erupted not only with the former owners but also with shareholders. They are demanding compensation for lost profits, as Reuters reports, since Musk was required to announce his ownership of more than 5% of Twitter shares on March 24, 2022, but did so only on April 4, when he already controlled 9.2%. After this, the stock price surged by 27%, causing shareholders who sold their shares earlier to incur losses.The prosecution claims that the delay allowed Musk to acquire more shares on favorable terms, saving at least $200 million on price differences.Last week, Musk's representatives filed new documents in the Manhattan Federal District Court, explaining that the billionaire failed to disclose the information by mistake, believing he had until the end of 2022 to do so. They assert that Musk had no intention of saving on the purchase of shares or depriving shareholders of profits from the rise in stock prices. Last September, the court rejected this defense, citing Musk's experience in declaring deals with Tesla and SolarCity shares. The judge suggested that Musk was aware of the disclosure requirements for Twitter shares, despite the defense's claims about his busyness.

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The last Bitcoin may be mined by miners by 2140

The Best Neural Networks for Image Creation!

Apple Addresses Vision Pro Vulnerability That Could Displ...

New Era of Technology: Biocomputers as an Alternative to AI

Musk's Quest for the Perfect AI: 100,000 GPUs and $3 Bill...

Error or Intent: Elon Musk Accused of Delayed Disclosure ...