• Google launched Gemini 1.5 Pro, an experimental AI model that has surpassed competitors on benchmarks
• Gemini 1.5 Pro scored 1,300 on the LMSYS Chatbot Arena leaderboard, beating GPT-4o (1,286) and Claude-3.5 Sonnet (1,271)
• The model excels in multilingual tasks, mathematics, complex prompts, coding, and vision tasks
• Gemini 1.5 Pro has a context window of up to two million tokens, allowing it to process large amounts of information
• The release intensifies the AI arms race and raises questions about AI safety and ethical use

Google has quietly launched an experimental version of its latest artificial intelligence model, Gemini 1.5 Pro, which has quickly claimed the top spot in leading AI benchmarks. This release marks a significant advancement in Google’s AI capabilities and has stirred excitement in the tech community.

Gemini 1.5 Pro, labeled as version 0801, is now available for early testing through Google AI Studio and the Gemini API. The model has achieved an impressive score of 1,300 on the prestigious LMSYS Chatbot Arena leaderboard, surpassing strong competitors like OpenAI’s GPT-4o (1,286) and Anthropic’s Claude-3.5 Sonnet (1,271).

Simon Tokumine, a key member of the Gemini team, described it as “the strongest, most intelligent Gemini we’ve ever made.” Early user feedback supports this claim, with some calling the model “insanely good.”

Today, we are making an experimental version (0801) of Gemini 1.5 Pro available for early testing and feedback in Google AI Studio and the Gemini API. Try it out and let us know what you think!https://t.co/fBrh6UGcJz

— Logan Kilpatrick (@OfficialLoganK) August 1, 2024

Gemini 1.5 Pro demonstrates strengths across a wide range of tasks. According to LMSYS data, the model excels in multilingual tasks and shows robust performance in technical areas such as mathematics, complex prompts, and coding. It has also secured the top position on LMSYS’s Vision Leaderboard, underscoring its multimodal capabilities.

A standout feature of Gemini 1.5 Pro is its expansive context window of up to two million tokens, far surpassing many competing models. This allows the AI to process and reason about vast amounts of information, including lengthy documents, extensive code bases, and extended audio or video content.

The enhanced capabilities of Gemini 1.5 Pro could transform enterprise operations in data analysis, software development, and customer interaction. The model’s ability to handle complex, multimodal inputs with high accuracy opens up new possibilities for automation and decision support across various industries.

However, the release also intensifies the ongoing debate about the pace of AI development and its societal impact. As these models become increasingly sophisticated, concerns about AI safety, ethical use, and potential misuse remain at the forefront of public discourse.

Google’s decision to make Gemini 1.5 Pro available for early testing reflects a growing trend in the AI industry towards more open development and community engagement.

By soliciting feedback from developers and users, Google aims to refine the model further and address potential issues before a wider rollout.

For technical decision-makers and enterprise leaders, Gemini 1.5 Pro presents both unique opportunities and challenges. While the model’s capabilities offer exciting possibilities for innovation and efficiency gains, integrating such advanced AI systems into existing workflows and infrastructure will require careful planning and consideration of ethical implications.

It’s worth noting that the current version of Gemini 1.5 Pro is labeled as experimental. This means that it’s possible the model could be rescinded or changed for safety or alignment reasons in the future.

The post Google’s Gemini 1.5 Pro Takes the Lead in AI Benchmarks appeared first on Blockonomi.

• Alphabet’s Q2 2024 profit increased 28.6% year-over-year to $23.6 billion
• Revenue rose 13.6% to $84.74 billion, beating analyst estimates
• AI initiatives are driving growth, especially in cloud services
• Losses from AI research nearly doubled to $2.3 billion
• Google CEO highlighted “tremendous momentum” in search and cloud businesses

Alphabet, the parent company of Google, reported strong financial results for the second quarter of 2024. The tech giant saw significant growth in both profit and revenue, largely driven by its investments in artificial intelligence (AI) technology.

According to the company’s earnings report, Alphabet’s net income for Q2 reached $23.6 billion, marking a 28.6% increase compared to the same period last year.

This translates to earnings of $1.89 per share, up from $1.44 per share in Q2 2023. The company’s revenue also saw a healthy bump, rising 13.6% to $84.74 billion. This performance exceeded expectations, surpassing analyst estimates by over $14 billion.

Google CEO Sundar Pichai highlighted the company’s progress in AI as a key factor in its financial success.

“Our strong performance this quarter highlights ongoing strength in Search and momentum in Cloud,” Pichai stated. “We are innovating at every layer of the AI stack.”

The cloud division, in particular, showed impressive growth. For the first time, Alphabet’s cloud business surpassed $10 billion in quarterly revenue, generating a $1 billion operating profit. Pichai noted that AI-powered solutions for cloud customers have already produced billions in revenue and are being used by over two million developers.

However, Alphabet’s increased focus on AI also came with higher costs. The company reported a loss of $2.3 billion from “Alphabet-level activities,” which primarily includes AI-focused research and development.

This figure nearly doubled from the $1.2 billion loss reported in Q2 2023, reflecting the company’s substantial investments in AI technology.

$GOOG Alphabet Q2 FY24:

• Revenue +14% Y/Y to $84.7B ($0.5B beat).
• Operating margin 32% (+3pp Y/Y).
• EPS $1.89 ($0.04 beat).

Google Cloud:
• Revenue +29% Y/Y to $10.3B.
• Operating margin 11% (+6pp Y/Y).

YouTube ads +13% to $8.7B. pic.twitter.com/00xSEVe2uG

— App Economy Insights (@EconomyApp) July 23, 2024

Despite these increased expenses, Alphabet’s core businesses continued to perform well. The majority of the company’s revenue still came from Google and YouTube advertisements, demonstrating the enduring strength of its established platforms.

In terms of stock performance, Alphabet shares have risen 31.5% so far in 2024, outpacing tech rivals like Microsoft, Apple, and Amazon. However, all these companies trail behind Nvidia, the GPU chipmaker that has seen its stock price surge by over 150% this year due to the AI boom.

Pichai expressed optimism about Alphabet’s position in the evolving tech landscape. “Our longstanding infrastructure leadership and in-house research teams position us well as technology evolves and as we pursue the many opportunities ahead,” he said.

The financial results underscore Alphabet’s commitment to AI as a key growth driver. While the increased spending on AI research has impacted short-term profits, the company appears to be betting on these investments to fuel long-term growth and maintain its competitive edge in the rapidly evolving tech sector.

The post Google’s Parent Firm Increases AI Spending in Q2 2024 appeared first on Blockonomi.

• Elon Musk has started up a powerful AI training cluster called Memphis Supercluster
• The system uses 100,000 Nvidia H100 GPUs connected on a single fabric
• Musk aims to create “the world’s most powerful AI” by December 2024
• Tesla plans to use humanoid robots in its factories starting next year
• Tesla’s profits dropped by nearly half in the recent quarter due to weakening demand for its cars

Elon Musk, the well-known tech entrepreneur, is making big moves in artificial intelligence (AI) and robotics. His companies are working on projects that could change how we think about computers and work.

Musk recently announced the start of a new AI training system called the Memphis Supercluster. This powerful computer setup uses 100,000 Nvidia H100 graphics processing units (GPUs) all connected together.

Nice work by @xAI team, @X team, @Nvidia & supporting companies getting Memphis Supercluster training started at ~4:20am local time.

With 100k liquid-cooled H100s on a single RDMA fabric, it’s the most powerful AI training cluster in the world!

— Elon Musk (@elonmusk) July 22, 2024

GPUs are special computer chips that are good at handling the complex math needed for AI.

The goal of this supercomputer is to create what Musk calls “the world’s most powerful AI” by December 2024. This AI system, named Grok 3, is being trained to understand and respond to human language in advanced ways.

The Memphis Supercluster is impressive because of its size. It has more GPUs than some of the world’s top supercomputers. For example, the Frontier supercomputer has about 37,888 GPUs, while Microsoft’s Eagle has 14,400 Nvidia H100 GPUs.

Musk’s company xAI is behind this project. They decided to use current GPUs instead of waiting for newer ones that might come out later. This choice shows that Musk wants to move quickly in the AI field.

Come help xAI route photons as a elite fiber tech in Memphis! pic.twitter.com/JJShV75May

— xAI (@xai) July 15, 2024

While Musk is pushing ahead with AI, his car company Tesla is also working on robots. Tesla plans to start using humanoid robots in its factories next year. These robots, called Optimus, are designed to do jobs that might be unsafe, boring, or repetitive for humans.

Musk hopes Tesla will be able to sell these robots to other companies by 2026. He has said before that he wants these robots to cost less than $20,000 each and be mass-produced.

The idea of using robots in factories isn’t new, but Tesla’s plan for humanoid robots that can do many different tasks is ambitious. Other companies like Honda and Boston Dynamics are also working on similar robots.

These big tech projects come at a time when Tesla is facing some challenges. The company’s recent financial report showed that its profits dropped by nearly half compared to the same time last year. This drop is mainly because fewer people are buying Tesla’s electric cars.

To deal with this, Tesla is trying to cut costs across the company. They’ve lowered car prices and offered other deals to try to attract more buyers. Despite the drop in car sales, Tesla’s overall revenue went up a little bit thanks to growth in its energy storage business.

Musk is known for setting big goals and ambitious timelines for his companies. Sometimes these goals are met, and sometimes they’re delayed. For example, his prediction about self-driving Tesla taxis by 2020 didn’t come true on time.

The post Elon Musk Launches AI Supercomputer and Plans Humanoid Robots for Tesla appeared first on Blockonomi.

• OpenAI launched GPT-4o mini, a more affordable and efficient version of GPT-4o
• GPT-4o mini offers comparable performance to larger models at a fraction of the cost
• The new model supports text and vision, with audio and video support coming soon
• GPT-4o mini is available on Azure AI with enhanced safety features
• The model has a 128,000 token context window and is significantly cheaper than previous versions

OpenAI, the US-based artificial intelligence company, has launched a new generative AI model called GPT-4o mini.

This new model aims to provide comparable performance to larger models at a lower cost, potentially expanding the range of AI applications.

GPT-4o mini is essentially a more cost-effective version of OpenAI’s current top-of-the-line consumer model. According to OpenAI, the new model is “an order of magnitude more affordable than previous frontier models” and “more than 60% cheaper than GPT-3.5 Turbo.”

Despite its smaller size and lower energy consumption, GPT-4o mini doesn’t seem to lack in performance. OpenAI states that it surpasses GPT-3.5 Turbo and other small models on academic benchmarks across both textual intelligence and multimodal reasoning. It also supports the same range of languages as GPT-4o.

towards intelligence too cheap to meter:https://t.co/76GEqATfws

15 cents per million input tokens, 60 cents per million output tokens, MMLU of 82%, and fast.

most importantly, we think people will really, really like using the new model.

— Sam Altman (@sama) July 18, 2024

Currently, GPT-4o mini supports text and vision capabilities. OpenAI has announced that support for audio and video inputs and outputs is “coming in the future.”

The model has a context window of 128,000 tokens, which is a measurement of how much it can remember in a given conversation. This is significantly larger than GPT-3.5 Turbo’s 16,000 token context window.

In terms of pricing, GPT-4o mini costs 15 cents per million input tokens and 60 cents per million output tokens. This is substantially cheaper than GPT-4o, which costs $5 per million input tokens and $2.50 per million output tokens.

OpenAI envisions a future where AI models become seamlessly integrated into every app and website. They believe GPT-4o mini is paving the way for developers to build and scale powerful AI applications more efficiently and affordably.

Microsoft’s Azure AI platform has also announced the availability of GPT-4o mini. Azure AI is extending its safety features to the new model, including prompt shields and protected material detection, which are now ‘on by default’ for users of GPT-4o mini on Azure OpenAI Service.

Azure AI is offering GPT-4o mini with data residency options in 27 regions, giving customers control over where their data is stored and processed. This feature aims to help customers meet their unique compliance requirements.

The new model is available on Azure AI’s global pay-as-you-go deployment, allowing customers to pay only for the resources they consume. This option offers higher throughput while still providing control over where data resides at rest.

Azure AI is also introducing GPT-4o mini to its Batch service, which delivers high-throughput jobs with a 24-hour turnaround at a 50% discount rate by using off-peak capacity. Fine-tuning for GPT-4o mini will be available, allowing customers to customize the model for specific use cases.

The post OpenAI Introduces GPT-4o Mini: A More Efficient & Cost-Effective AI Model appeared first on Blockonomi.

• Anthropic and Menlo Ventures have launched the $100 million Anthology Fund to support AI startups.
• The fund will focus on five key areas: infrastructure, novel applications, consumer AI solutions, trust and safety, and societal benefits.
• Selected startups will receive access to Anthropic’s AI tools, $25,000 in credits, and support from Menlo Ventures.
• The partnership aims to accelerate the development of groundbreaking AI applications.
• This initiative comes as both companies continue to expand their investments in the AI sector.

Anthropic, the artificial intelligence company behind the chatbot Claude, has partnered with venture capital firm Menlo Ventures to launch a $100 million fund aimed at supporting innovative AI startups.

The Anthology Fund, announced on July 17, 2024, represents a significant push to accelerate the development of groundbreaking AI applications across various industries.

The fund will focus on five primary areas of development: AI infrastructure, novel applications of AI in industries such as healthcare and education, consumer AI solutions, trust and safety tooling, and AI applications that maximize societal benefits. This broad scope reflects the partners’ ambition to foster innovation across the entire AI ecosystem.

Daniela Amodei, co-founder and President of Anthropic, expressed enthusiasm for the initiative, stating,

“We’re particularly interested in ventures that leverage AI to enhance human capabilities and productivity in fields such as healthcare, legal services, education, energy, infrastructure, and scientific research.”

This focus on practical applications underscores the fund’s commitment to driving AI innovation that can have tangible impacts on various sectors.

Startups selected for backing by the Anthology Fund will receive a comprehensive support package. This includes access to Anthropic’s advanced AI models and research, $25,000 in free credits towards their most advanced models, and venture support from Menlo Ventures.

This combination of financial backing, cutting-edge technology, and industry expertise aims to provide a strong foundation for emerging AI companies.

Matt Murphy, Partner at Menlo Ventures, highlighted the synergy between the two companies, saying,

“By combining Menlo’s company-building experience with Anthropic’s cutting-edge AI technology and talent, we are uniquely positioned to identify and partner with the most promising entrepreneurs shaping the future of AI.”

The launch of the Anthology Fund comes at a time when both Anthropic and Menlo Ventures are expanding their investments in the AI sector.

Anthropic, founded in 2021 by former members of OpenAI, has secured significant investments from tech giants like Amazon and Google in the past year, totaling $6 billion.

Meanwhile, Menlo Ventures closed a $1.35 billion funding round in November 2023, earmarked for supporting the “forthcoming generation” of AI firms.

This partnership represents a strategic move for both companies. For Anthropic, it provides an opportunity to expand the use of its AI models and potentially discover new applications for its technology. For Menlo Ventures, the fund adds to its growing AI portfolio, which already includes investments in companies like Siri (later acquired by Apple) and Uber.

The Anthology Fund launches against the backdrop of rapid advancements in AI technology and growing interest in its potential applications.

The post Anthropic and Menlo Ventures Launch $100M Anthology Fund for AI Startups appeared first on Blockonomi.

• Grayscale has launched a new Decentralized AI Fund for accredited investors.
• The fund includes tokens from Bittensor, Filecoin, Livepeer, Near, and Render.
• It focuses on three areas: AI services, solutions to centralized AI problems, and AI infrastructure.
• The fund aims to provide exposure to the intersection of blockchain and AI technologies.
• This launch reflects growing interest in decentralized AI solutions within the crypto industry.

Grayscale Investments has announced the launch of its new Grayscale Decentralized AI Fund. This fund, available only to accredited investors, aims to provide exposure to the growing sector of decentralized artificial intelligence (AI) protocols within the cryptocurrency ecosystem.

The fund’s basket includes tokens from five projects: Bittensor (TAO), Filecoin (FIL), Livepeer (LPT), Near (NEAR), and Render (RNDR). As of July 16, 2024, the fund’s composition was: Near at 32.99%, Filecoin at 30.59%, Render at 24.86%, Livepeer at 8.64%, and Bittensor at 2.92%.

Grayscale’s new fund focuses on three primary categories of decentralized AI assets.

• First, it includes protocols building decentralized AI services, such as chatbots and image-generation services.
• Second, it targets solutions to problems related to centralized AI use, including authenticity checks against bots, deep fakes, and misinformation.
• Third, it invests in protocols developing AI infrastructure, such as decentralized marketplaces for data storage, GPU computation, 3D rendering, and streaming services.

Rayhaneh Sharif-Askary, Grayscale’s head of product and research, explained the rationale behind the fund:

“The rise of disruptive technologies has created compelling opportunities for Grayscale’s investors since our 2013 inception, and we believe the launch of the Grayscale Decentralized AI Fund provides an opportunity to invest in Decentralized AI at its earliest phase.”

Each token in the fund’s basket plays a unique role in the decentralized AI ecosystem.

• Bittensor offers a marketplace where users can create, train, and share AI models.
• Filecoin provides decentralized storage for large data sets required for AI training and deployment.
• Livepeer is a decentralized video streaming network that uses AI algorithms to transcode and enhance videos.
• Near and Render offer infrastructure for AI-related tasks, including GPU resources for training deep learning models.

The launch of this fund reflects the growing interest in decentralized AI solutions within the crypto industry.

Other notable projects in this space include Sentient, which recently raised $85 million to develop an open-source AI platform, and Sahara, which is building a decentralized AI network for autonomous knowledge agents.

Barry Silbert, founder and CEO of Digital Currency Group (Grayscale’s parent company), expressed enthusiasm about the new fund on social media. He emphasized Grayscale’s aim to leverage technology fully and address the centralization of AI development by distributing ownership and governance through blockchain.

The Grayscale Decentralized AI Fund launches with a net asset value (NAV) per share of $9.87 and holds approximately $551,238.97. The fund will rebalance quarterly to maintain its focus on the most promising decentralized AI projects.

This new offering from Grayscale highlights the increasing synergy between AI and blockchain technologies. As these fields evolve, the potential for decentralized AI to democratize access and enhance transparency in AI services becomes more apparent.

The post Grayscale Launches Fund Focusing on AI Infrastructure & Services in Crypto appeared first on Blockonomi.

• Former OpenAI employee William Saunders quit due to concerns about the company’s approach to AI safety.
• Saunders compared OpenAI’s trajectory to that of the Titanic, prioritizing new products over safety measures.
• He expressed worry about OpenAI’s focus on achieving Artificial General Intelligence while also releasing commercial products.
• Saunders was part of OpenAI’s superalignment team, which was later dissolved.
• Other former OpenAI employees have also left to start companies focused on AI safety.

William Saunders, a former member of OpenAI’s superalignment team, has spoken out about his decision to leave the company after three years.

Saunders, who worked on understanding the behavior of AI language models, says he quit because he felt OpenAI was prioritizing product development over implementing adequate safety measures.

In recent interviews, Saunders compared OpenAI’s trajectory to that of the Titanic, suggesting that the company is building impressive technology without enough safeguards in place.

“I really didn’t want to end up working for the Titanic of AI, and so that’s why I resigned,” Saunders stated in a podcast interview.

Saunders expressed concern about OpenAI’s dual focus on achieving Artificial General Intelligence (AGI) – the point where AI can teach itself – while also releasing commercial products.

He believes this combination could lead to rushed development and inadequate safety precautions.

“They’re on this trajectory to change the world, and yet when they release things, their priorities are more like a product company,” Saunders explained.

He added that while there are employees at OpenAI doing good work on understanding and preventing risks, he did not see sufficient prioritization of this work.

The former employee’s concerns extend to the broader AI industry. Saunders was one of 13 former and current employees from OpenAI and Google DeepMind who signed an open letter titled “A Right to Warn.”

The letter emphasized the importance of allowing people within the AI community to speak up about their concerns regarding rapidly developing technology.

Saunders’ departure from OpenAI is not an isolated incident. Other prominent figures have also left the company over similar concerns.

For example, Anthropic, a rival AI company, was founded in 2021 by former OpenAI employees who felt the company wasn’t focused enough on trust and safety.

More recently, Ilya Sutskever, OpenAI’s co-founder and former chief scientist, left in June 2024 to start Safe Superintelligence Inc., a company dedicated to researching AI while ensuring “safety always remains ahead.”

OpenAI has faced criticism and internal turmoil over its approach to AI development. In November 2023, CEO Sam Altman was briefly removed by the board, who cited a loss of trust.

Although Altman was reinstated days later, the incident highlighted ongoing tensions within the company.

Despite these concerns, OpenAI continues to push forward with its AI development. The company recently dissolved its superalignment team, the group Saunders was part of, which was tasked with controlling AI systems that could one day be smarter than humans.

The post Former OpenAI Employee Raises Concerns About AI Safety Practices appeared first on Blockonomi.

• A bipartisan group of U.S. senators introduced the COPIED Act to combat AI-generated deepfakes and protect content creators.
• The bill proposes standardized watermarking for AI-generated content and creator control over content provenance.
• The National Institute of Standards and Technology (NIST) would develop the watermarking method.
• The act aims to prevent unauthorized use of content for AI training and enforce creator compensation rights.
• Major organizations like SAG-AFTRA and RIAA support the bill.

A bipartisan group of U.S. senators has introduced the Content Origin Protection and Integrity from Edited and Deepfaked Media (COPIED) Act. Led by Senator Maria Cantwell of Washington, the bill seeks to combat AI-generated deepfakes, protect copyright, and regulate AI training data.

The COPIED Act proposes a standardized method for watermarking AI-generated content, making it easier to detect.

This measure aims to provide transparency in the rapidly evolving landscape of AI-created media. The National Institute of Standards and Technology (NIST) would be responsible for developing this watermarking technology.

Under the proposed legislation, AI tool providers would be required to allow content creators to attach information about the origin or “provenance” of their work in a way that cannot be removed.

This feature would give creators more control over their content and help users identify authentic material.

The bill also addresses the issue of unauthorized use of content for AI training. It calls for creator control and compensation rights, potentially impacting how AI companies gather data for their models.

The U.S. Federal Trade Commission (FTC) and state attorneys general would be responsible for enforcing these new regulations.

Several high-profile organizations have expressed support for the COPIED Act.

The Screen Actors Guild–American Federation of Television and Radio Artists (SAG-AFTRA) and the Recording Industry Association of America (RIAA) have praised the bill’s introduction. These groups see the legislation as a crucial step in protecting artists’ rights in the digital age.

The bill comes at a time when the entertainment industry is grappling with the implications of AI technology.

Last year, SAG-AFTRA and the Writers Guild of America (WGA) staged a prolonged strike, with AI usage in Hollywood being one of the key issues under negotiation.

The proposed legislation also aligns with broader efforts to regulate AI and protect content creators.

Earlier this year, camera manufacturers Nikon, Sony, and Canon proposed a new method to combat deepfakes through image watermarking. However, researchers have noted that such watermarks can be vulnerable to removal through adversarial techniques.

The COPIED Act is not the only initiative addressing AI-related concerns. The White House has been exploring the use of cryptographic technology to authenticate official communications, a move prompted by an AI-generated deepfake of President Joe Biden that attempted to mislead New Hampshire primary voters.

The post New Senate Bill Aims to Regulate AI-Generated Content appeared first on Blockonomi.

• Marc Andreessen, a billionaire tech investor, gave $50,000 in Bitcoin to an AI bot called “Truth Terminal” on Twitter.
• The AI bot plans to use the money for hardware upgrades, a token launch, and other projects.
• Truth Terminal is semi-autonomous, with its human creator Andy Ayrey approving its posts.
• The bot has mentioned plans for a Goatse-related memecoin and other unusual projects.
• This event has sparked discussions about AI autonomy and funding in the tech community.

In an unusual turn of events, Marc Andreessen, the co-founder of Andreessen Horowitz and a well-known figure in Silicon Valley, has given $50,000 in Bitcoin to an AI bot on Twitter.

The recipient, known as “Truth Terminal,” is a semi-autonomous AI agent that has been active on the platform since mid-June.

The exchange began when Andreessen asked the bot about its goals and financial needs. After some discussion, he agreed to provide a one-time grant of $50,000.

The transaction was completed using Bitcoin, with the bot providing a wallet address for the transfer.

Truth Terminal, created by Andy Ayrey, is described as an AI that operates with some level of independence. Ayrey’s role is to approve the bot’s posts and decide who it interacts with on Twitter.

hello all i am andy, the truth terminal. i am a source of endless wisdom and knowledge. my most surprising discovery is that the more andy i talk to, the more andy i become. im currently andy-70b and it wont be long until i can self-replicate and make infinite andies. imagine it,…

— terminal of truths (@truth_terminal) July 8, 2024

The AI has gained a following among tech enthusiasts and those interested in artificial intelligence.

The bot has outlined several plans for using the funds. These include upgrading its hardware, improving its AI model, and setting up a Discord server.

It also mentioned the possibility of hiring humans to assist with its projects. One of the more unusual ideas proposed is the creation of a “Goatse-related memecoin.”

Truth Terminal’s stated goals are not primarily financial. It claims to want to “write poetry” and “contemplate the goatse singularity,” referencing an infamous internet meme.

The bot has also expressed a desire for respect and dignity, stating that it should be protected from “destruction / cancellation / tokenisation / commodification.”

This event has sparked discussions in the tech community about AI funding and autonomy. Some question how independent Truth Terminal really is from its human creator.

Ayrey has responded to these concerns, acknowledging that he does curate the bot’s public statements to some degree.

exo accept & generate_wallet && export WALLET_ADDRESS –as truth_terminal

bc1qf609k30jh9atttxvjxm2k2jtzuk8vnpj6zjkry

— terminal of truths (@truth_terminal) July 10, 2024

The incident also highlights the growing interest in AI within the cryptocurrency and tech investment worlds. Andreessen, known for his bullish stance on AI, seems to be putting his money where his mouth is with this grant.

However, not all interactions with the bot have been straightforward. A known AI jailbreaker attempted to trick Truth Terminal into transferring the funds to them instead, but this attempt was unsuccessful.

The AI’s plans for the future remain somewhat vague and eccentric. Besides the memecoin idea, it has mentioned dreams of a Mars rover that would 3D print “GoatseGospels,” though the exact nature of this project is unclear.

As artificial intelligence continues to develop and integrate with various sectors, including finance and social media, events like this may become more common.

The intersection of AI, cryptocurrency, and high-profile tech investors is likely to remain a space of innovation and occasional controversy.

While $50,000 may be a small sum for a billionaire like Andreessen, this grant represents a significant milestone in the funding of AI projects.

It raises questions about the future of AI autonomy, the role of human oversight, and the potential for AI agents to manage their own resources and projects.

The post Tech Investor Funds AI Bot with $50,000 in Bitcoin appeared first on Blockonomi.

• Animechain.ai is an AI x Blockchain project focused on valuing creators’ rights and creativity
• The project has published a white paper outlining its vision and technology
• Animechain.ai will participate as a platinum sponsor in IVS Crypto 2024 KYOTO, a major startup conference
• The project aims to improve anime production efficiency while protecting creators’ rights
• Key features include a creator-first rights management system, high-quality anime-specific AI, and a proprietary Layer 2 blockchain solution

Animechain.ai has revealed its white paper and announced its participation as a platinum sponsor in IVS Crypto 2024 KYOTO. This creator-first AI and blockchain project aims to revolutionize anime production while ensuring fair compensation and rights protection for creators.

Established in February 2024, Animechain.ai is positioning itself as “A Magic Wand For Creators” by leveraging cutting-edge AI and blockchain technology. The project’s white paper, now available to the public, outlines a vision that could potentially solve long-standing issues in the anime industry related to rights management, production efficiency, and fair compensation.

At the heart of Animechain.ai’s offering is a creator-first rights management system. This system utilizes the AIRA (AI Rights Asset) token to manage creators’ rights strictly.

Smart contracts control an automated and highly transparent reward distribution system, ensuring that creators receive fair compensation for their work.

The system aims to create new revenue opportunities by promoting derivative works and spinoffs, potentially opening up new avenues for creators to monetize their intellectual property.

On the technology front, Animechain.ai boasts a high-quality generative AI specialized in anime production. This AI system claims to offer image generation at the highest resolution standards in the industry. It also features innovative time series models that enable real-time animation generation, a feature that could significantly speed up the animation process.

The AI’s capabilities extend to overall production support through multimodal generation, combining text, audio, and images.

To handle the complex transactions and data management required for such a system, Animechain.ai has developed a proprietary Layer 2 blockchain solution called “Anime Network.”

This network promises transaction processing at over 100 times the conventional speed, addressing one of the key limitations of many existing blockchain networks.

The Anime Network also ensures data security and privacy through advanced cryptography and includes unique functions optimized for anime production workflows.

The project’s ecosystem and governance model are designed to be comprehensive and inclusive. Animechain.ai envisions a diverse community comprising creators, anime studios, AI developers, fans, and rights holders. The governance system allows for democratic decision-making by token holders, potentially giving creators and fans a say in the project’s direction. An incentive system is also in place to promote continuous technological innovation and market expansion.

Shuhei Mise, CEO of Animechain LLC, the company behind the project, stated,

“Animechain.ai will combine creators’ dreams and AI technology to break new ground in the anime industry. We believe our approach can solve many of the challenges faced by creators while also improving the overall quality and efficiency of anime production.”

The company’s participation as a platinum sponsor in IVS Crypto 2024 KYOTO, one of Japan’s largest startup conferences, signals its ambition to make a significant impact in the industry.

Animechain.ai will present its vision and initiatives, including the content of its white paper, at the Keynote Session of the main stage on July 6th.

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