AI Revolutionizes the World of Gaming
Artificial Intelligence (AI) is transforming the gaming industry in various ways, from enhancing NPCs to adjusting game difficulty and content. With AI, NPCs can now behave more humanly, react to their environment, and respond differently to player choices.
Online casinos are also utilizing AI to better understand player preferences and detect unusual behavior, preventing fraud. Social casinos recommend games to players using AI, creating a personalized experience.
AI is being used in console games to create personalized storylines and quests based on player actions, as well as adaptive difficulty levels. AI also improves game visuals with technologies like AI upscaling and ray tracing, making games more realistic.
Overall, AI is transforming the gaming industry, providing more realistic and personalized experiences for players.
@Ai_Events
.
Artificial Intelligence (AI) is transforming the gaming industry in various ways, from enhancing NPCs to adjusting game difficulty and content. With AI, NPCs can now behave more humanly, react to their environment, and respond differently to player choices.
Online casinos are also utilizing AI to better understand player preferences and detect unusual behavior, preventing fraud. Social casinos recommend games to players using AI, creating a personalized experience.
AI is being used in console games to create personalized storylines and quests based on player actions, as well as adaptive difficulty levels. AI also improves game visuals with technologies like AI upscaling and ray tracing, making games more realistic.
Overall, AI is transforming the gaming industry, providing more realistic and personalized experiences for players.
@Ai_Events
.
AI Growth Outpacing Security Measures
A recent survey by PSA Certified has revealed that the rapid growth of AI is outstripping the industry's ability to safeguard products, devices, and services. Two-thirds of 1,260 global technology decision-makers are concerned that the speed of AI advancements is leaving security measures behind.
The survey highlights the need for a holistic approach to security, embedded throughout the entire AI lifecycle, from device deployment to the management of AI models operating at the edge. This proactive approach is deemed essential to building consumer trust and mitigating escalating security risks.
While AI is a huge opportunity, its proliferation also offers the same opportunity to bad actors. Only half of respondents believe their current security investments are sufficient, and essential security practices, such as independent certifications and threat modelling, are being neglected by a substantial portion of respondents.
Industry leaders emphasize the importance of prioritizing security investment and taking a collective responsibility to ensure consumer trust in AI-driven services is maintained. A majority of decision-makers believe their organizations are equipped to handle the potential security risks associated with AI's surge.
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.
A recent survey by PSA Certified has revealed that the rapid growth of AI is outstripping the industry's ability to safeguard products, devices, and services. Two-thirds of 1,260 global technology decision-makers are concerned that the speed of AI advancements is leaving security measures behind.
The survey highlights the need for a holistic approach to security, embedded throughout the entire AI lifecycle, from device deployment to the management of AI models operating at the edge. This proactive approach is deemed essential to building consumer trust and mitigating escalating security risks.
While AI is a huge opportunity, its proliferation also offers the same opportunity to bad actors. Only half of respondents believe their current security investments are sufficient, and essential security practices, such as independent certifications and threat modelling, are being neglected by a substantial portion of respondents.
Industry leaders emphasize the importance of prioritizing security investment and taking a collective responsibility to ensure consumer trust in AI-driven services is maintained. A majority of decision-makers believe their organizations are equipped to handle the potential security risks associated with AI's surge.
@Ai_Events
.
The AI Revolution: Reshaping Data Centres and the Digital Landscape
Artificial intelligence (AI) is changing the world, with a projected global market value of $2-4 trillion USD by 2030. The future is now, and AI has crept into every facet of our lives, transforming work and play.
AI is simulated human intelligence processes, including learning, reasoning, and self-correction. The surge of AI is staggering, with examples like ChatGPT reaching a million users in just five days.
However, AI has a large appetite for data, requiring enormous computational power for processing. Data centres are the backbones of the digital world, evolving into entire ecosystems to facilitate the flow of information.
Data centres need efficient delivery of data worldwide, requiring power, connectivity, and cooling systems. As AI demands grow, so does the need for compatibility with data centre infrastructure.
Integrating AI presents challenges, including power, connectivity, and cooling. AI is ever-emerging, and regulatory changes must be made, such as the EU's AI Act and NIS2 Directive.
@Ai_Events
.
Artificial intelligence (AI) is changing the world, with a projected global market value of $2-4 trillion USD by 2030. The future is now, and AI has crept into every facet of our lives, transforming work and play.
AI is simulated human intelligence processes, including learning, reasoning, and self-correction. The surge of AI is staggering, with examples like ChatGPT reaching a million users in just five days.
However, AI has a large appetite for data, requiring enormous computational power for processing. Data centres are the backbones of the digital world, evolving into entire ecosystems to facilitate the flow of information.
Data centres need efficient delivery of data worldwide, requiring power, connectivity, and cooling systems. As AI demands grow, so does the need for compatibility with data centre infrastructure.
Integrating AI presents challenges, including power, connectivity, and cooling. AI is ever-emerging, and regulatory changes must be made, such as the EU's AI Act and NIS2 Directive.
@Ai_Events
.
xAI Unveils Grok-2 to Challenge AI Hierarchy
xAI has announced the release of Grok-2, a major upgrade that boasts improved capabilities in chat, coding, and reasoning. The upgrade includes a smaller but capable version called Grok-2 mini, which will be made available through xAI's enterprise API later this month.
Grok-2 has shown significant improvements in reasoning with retrieved content and in its tool use capabilities, such as correctly identifying missing information, reasoning through sequences of events, and discarding irrelevant posts.
The new Grok interface on X features a redesigned interface and new features. Premium and Premium+ subscribers will have access to both Grok-2 and Grok-2 mini.
xAI is also collaborating with Black Forest Labs to experiment with their FLUX.1 model to expand Grok's capabilities on X. The company plans to roll out multimodal understanding as a core part of the Grok experience on both X and the API.
While the release of Grok-2 marks a significant milestone for xAI, it's clear that the AI landscape remains highly competitive, with ChatGPT-4o and Google's Gemini 1.5 leading the pack.
@Ai_Events
.
xAI has announced the release of Grok-2, a major upgrade that boasts improved capabilities in chat, coding, and reasoning. The upgrade includes a smaller but capable version called Grok-2 mini, which will be made available through xAI's enterprise API later this month.
Grok-2 has shown significant improvements in reasoning with retrieved content and in its tool use capabilities, such as correctly identifying missing information, reasoning through sequences of events, and discarding irrelevant posts.
The new Grok interface on X features a redesigned interface and new features. Premium and Premium+ subscribers will have access to both Grok-2 and Grok-2 mini.
xAI is also collaborating with Black Forest Labs to experiment with their FLUX.1 model to expand Grok's capabilities on X. The company plans to roll out multimodal understanding as a core part of the Grok experience on both X and the API.
While the release of Grok-2 marks a significant milestone for xAI, it's clear that the AI landscape remains highly competitive, with ChatGPT-4o and Google's Gemini 1.5 leading the pack.
@Ai_Events
.
EU Takes Action Against X's Use of EU User Data for AI Chatbot Training
The European Union has taken action against social media platform X, ordering the company to suspend the use of all data belonging to EU citizens for training its AI systems. This decision follows a complaint from the Irish Data Protection Commission (DPC), which has been monitoring X's data processing activities.
The DPC sought an order to restrain or suspend X's data processing activities on users for the development, training, and refinement of its AI system. This move marks a growing conflict between AI advances and ongoing data protection concerns in the EU.
X has agreed to pause the use of certain EU user data for AI chatbot training, citing concerns that the DPC's order would undermine its efforts to keep the platform safe and restrict its use of technologies in the EU. The company claims to have been fully transparent about the use of public data for AI models, including providing necessary legal assessments and engaging in lengthy discussions with regulators.
The regulatory action against X is not an isolated incident. Other tech giants, such as Meta Platforms and Google, have also faced similar scrutiny in recent months. Regulators are taking a more active role in overseeing how tech companies utilise user data for AI training and development, reflecting growing concerns about data privacy and the ethical implications of AI advancement.
The outcome of this case could set important precedents for how AI development is regulated in the EU, potentially influencing global standards for data protection in the AI era. The tech industry and privacy advocates alike will be watching closely as this situation develops, recognising its potential to shape the future of AI innovation and data privacy regulations.
@Ai_Events
.
The European Union has taken action against social media platform X, ordering the company to suspend the use of all data belonging to EU citizens for training its AI systems. This decision follows a complaint from the Irish Data Protection Commission (DPC), which has been monitoring X's data processing activities.
The DPC sought an order to restrain or suspend X's data processing activities on users for the development, training, and refinement of its AI system. This move marks a growing conflict between AI advances and ongoing data protection concerns in the EU.
X has agreed to pause the use of certain EU user data for AI chatbot training, citing concerns that the DPC's order would undermine its efforts to keep the platform safe and restrict its use of technologies in the EU. The company claims to have been fully transparent about the use of public data for AI models, including providing necessary legal assessments and engaging in lengthy discussions with regulators.
The regulatory action against X is not an isolated incident. Other tech giants, such as Meta Platforms and Google, have also faced similar scrutiny in recent months. Regulators are taking a more active role in overseeing how tech companies utilise user data for AI training and development, reflecting growing concerns about data privacy and the ethical implications of AI advancement.
The outcome of this case could set important precedents for how AI development is regulated in the EU, potentially influencing global standards for data protection in the AI era. The tech industry and privacy advocates alike will be watching closely as this situation develops, recognising its potential to shape the future of AI innovation and data privacy regulations.
@Ai_Events
.
SingularityNET Bets on Supercomputer Network to Deliver AGI
SingularityNET is developing a network of powerful supercomputers to achieve Artificial General Intelligence (AGI) by 2025. The first supercomputer is set to be completed in September and will be a Frankensteinian beast of cutting-edge hardware.
The network will host and train complex AI architectures, mimicking the human brain, and featuring vast language models, deep neural networks, and systems that integrate human behaviors with multimedia outputs.
To manage the distributed network, SingularityNET has developed OpenCog Hyperon, an open-source software framework for AI systems. Users will purchase access to the network with the AGIX token on Ethereum and Cardano blockchains and contribute data to the collective pool.
Experts predict human-level AI by 2028, and SingularityNET's plan is to create a paradigmatic shift towards continuous learning, seamless generalization, and reflexive AI self-modification.
@Ai_Events
.
SingularityNET is developing a network of powerful supercomputers to achieve Artificial General Intelligence (AGI) by 2025. The first supercomputer is set to be completed in September and will be a Frankensteinian beast of cutting-edge hardware.
The network will host and train complex AI architectures, mimicking the human brain, and featuring vast language models, deep neural networks, and systems that integrate human behaviors with multimedia outputs.
To manage the distributed network, SingularityNET has developed OpenCog Hyperon, an open-source software framework for AI systems. Users will purchase access to the network with the AGIX token on Ethereum and Cardano blockchains and contribute data to the collective pool.
Experts predict human-level AI by 2028, and SingularityNET's plan is to create a paradigmatic shift towards continuous learning, seamless generalization, and reflexive AI self-modification.
@Ai_Events
.
Forwarded from Lex Fridman
Arrest of Pavel Durov is a disturbing attack on free speech and a threat not just to Telegram but to any online platform.
Governments should not engage in censorship. This is a blatant and deeply troubling overreach of power.
Governments should not engage in censorship. This is a blatant and deeply troubling overreach of power.
OpenAI Launches GPT-4o Fine-Tuning
OpenAI has announced the release of fine-tuning capabilities for its GPT-4o model, allowing developers to tailor the model to their specific needs.
Fine-tuning enables granular control over the model's responses, allowing for customization of structure, tone, and even the ability to follow intricate, domain-specific instructions.
Developers can achieve impressive results with training datasets comprising as little as a few dozen examples, making it accessible for improvements across various domains.
OpenAI is providing one million free training tokens per day for every organization until September 23rd, sweetening the deal for developers.
@Ai_Events
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OpenAI has announced the release of fine-tuning capabilities for its GPT-4o model, allowing developers to tailor the model to their specific needs.
Fine-tuning enables granular control over the model's responses, allowing for customization of structure, tone, and even the ability to follow intricate, domain-specific instructions.
Developers can achieve impressive results with training datasets comprising as little as a few dozen examples, making it accessible for improvements across various domains.
OpenAI is providing one million free training tokens per day for every organization until September 23rd, sweetening the deal for developers.
@Ai_Events
.
Norway's Sovereign Wealth Fund Urges Boards to Improve AI Governance
Norway's $1.7 trillion sovereign wealth fund is urging companies to improve their governance on the use of artificial intelligence (AI) to mitigate risks.
According to Carine Smith Ihenacho, chief governance and compliance officer, boards need to be proficient with the use of AI and take control of its application in businesses.
The fund has recommended that companies develop comprehensive AI policies at the board level, emphasizing the importance of robust governance structures to manage AI-related risks.
This initiative could have far-reaching implications for corporate governance practices globally, providing a blueprint for responsible AI implementation and governance in the corporate world.
@Ai_Events
.
Norway's $1.7 trillion sovereign wealth fund is urging companies to improve their governance on the use of artificial intelligence (AI) to mitigate risks.
According to Carine Smith Ihenacho, chief governance and compliance officer, boards need to be proficient with the use of AI and take control of its application in businesses.
The fund has recommended that companies develop comprehensive AI policies at the board level, emphasizing the importance of robust governance structures to manage AI-related risks.
This initiative could have far-reaching implications for corporate governance practices globally, providing a blueprint for responsible AI implementation and governance in the corporate world.
@Ai_Events
.
AI capabilities growing faster than hardware: Can decentralisation close the gap?
AI capabilities have exploded over the past two years, with large language models like ChatGPT, Dall-E, and Midjourney becoming everyday use tools. As companies adopt generative AI, the number of companies using it doubled within a year to 65%, up from 33% at the beginning of 2023.
However, training and running AI programs is a resource-intensive endeavour, and big tech seems to have an upper hand, which creates the risk of AI centralisation. According to a recent study, the computational power required to sustain AI development is currently growing at an annual rate of between 26% and 36%.
To reduce the costs associated with computing power, local governments in China have introduced subsidies, pledging to offer computing vouchers for AI startups. Additionally, decentralised computing infrastructures like Qubic Layer 1 blockchain are being developed to tap into its network of miners to provide computational power.
A decentralised approach to sourcing AI computational power is more economical and would only be fair if AI innovations were driven by more stakeholders as opposed to the current state where the industry relies on a few players. With decentralised AI innovations, it would be easier to check on the developments while reducing the cost of entry.
In conclusion, AI innovations are just getting started, but the challenge of accessing computational power is still a headwind. While big tech currently controls most of the resources, decentralised infrastructures offer a better chance of reducing computational costs and eliminating big tech control over one of the most valuable technologies of the 21st century.
@Ai_Events
.
AI capabilities have exploded over the past two years, with large language models like ChatGPT, Dall-E, and Midjourney becoming everyday use tools. As companies adopt generative AI, the number of companies using it doubled within a year to 65%, up from 33% at the beginning of 2023.
However, training and running AI programs is a resource-intensive endeavour, and big tech seems to have an upper hand, which creates the risk of AI centralisation. According to a recent study, the computational power required to sustain AI development is currently growing at an annual rate of between 26% and 36%.
To reduce the costs associated with computing power, local governments in China have introduced subsidies, pledging to offer computing vouchers for AI startups. Additionally, decentralised computing infrastructures like Qubic Layer 1 blockchain are being developed to tap into its network of miners to provide computational power.
A decentralised approach to sourcing AI computational power is more economical and would only be fair if AI innovations were driven by more stakeholders as opposed to the current state where the industry relies on a few players. With decentralised AI innovations, it would be easier to check on the developments while reducing the cost of entry.
In conclusion, AI innovations are just getting started, but the challenge of accessing computational power is still a headwind. While big tech currently controls most of the resources, decentralised infrastructures offer a better chance of reducing computational costs and eliminating big tech control over one of the most valuable technologies of the 21st century.
@Ai_Events
.
AI is Revolutionizing the Gaming Industry
Artificial intelligence (AI) is having a significant impact on the gaming industry, improving non-playable characters (NPCs), online casinos, and console games through personalized experiences, dynamic storylines, and adaptive difficulty.
In gaming, AI is used to train NPCs to behave in a more human-like manner, reacting to their environment and making decisions based on player choices.
AI is also being used in online casinos to detect unusual behavior on user accounts and provide personalized game recommendations to players.
In console games, AI is creating personalized experiences by generating dynamic storylines and quests based on player actions, and adapting difficulty levels in real-time to match a player's skill level.
Additionally, AI is improving game visuals through technologies like AI upscaling, which converts lower-resolution images to high resolution, and ray tracing, which creates realistic lighting conditions.
@Ai_Events
.
Artificial intelligence (AI) is having a significant impact on the gaming industry, improving non-playable characters (NPCs), online casinos, and console games through personalized experiences, dynamic storylines, and adaptive difficulty.
In gaming, AI is used to train NPCs to behave in a more human-like manner, reacting to their environment and making decisions based on player choices.
AI is also being used in online casinos to detect unusual behavior on user accounts and provide personalized game recommendations to players.
In console games, AI is creating personalized experiences by generating dynamic storylines and quests based on player actions, and adapting difficulty levels in real-time to match a player's skill level.
Additionally, AI is improving game visuals through technologies like AI upscaling, which converts lower-resolution images to high resolution, and ray tracing, which creates realistic lighting conditions.
@Ai_Events
.
AI's Impact on User-Generated Content
AI's rise has disrupted the creator economy, enabling individuals to become self-publishers and independent producers of content. However, the emergence of generative AI threatens to alter the way new content is produced, as anyone can churn out text, images, audio, and video using simple prompts.Generative AI has already had an impact on various industries, including video game content generation, social media, and music. However, its effects on user-generated content are still unclear. There are three possible scenarios: AI-enhanced creativity, AI monopolizing creativity, and human creativity standing out.In the first scenario, AI-assisted innovation could lead to an explosion of creative outputs. In the second, AI could dominate content creation, potentially leading to a sterile and bland future. In the third, human creativity could outshine AI, driving a premium for original content.Ultimately, AI's impact on user-generated content will depend on whether humans can adapt and showcase their unique abilities to create original ideas.
@Ai_Events
.
AI's rise has disrupted the creator economy, enabling individuals to become self-publishers and independent producers of content. However, the emergence of generative AI threatens to alter the way new content is produced, as anyone can churn out text, images, audio, and video using simple prompts.Generative AI has already had an impact on various industries, including video game content generation, social media, and music. However, its effects on user-generated content are still unclear. There are three possible scenarios: AI-enhanced creativity, AI monopolizing creativity, and human creativity standing out.In the first scenario, AI-assisted innovation could lead to an explosion of creative outputs. In the second, AI could dominate content creation, potentially leading to a sterile and bland future. In the third, human creativity could outshine AI, driving a premium for original content.Ultimately, AI's impact on user-generated content will depend on whether humans can adapt and showcase their unique abilities to create original ideas.
@Ai_Events
.
The AI Revolution: Reshaping Data Centres and the Digital Landscape
Artificial intelligence is changing the world, projected to have a global market value of $2-4 trillion USD by 2030. AI has crept into every facet of our lives, transforming work and play.
The surge of AI is staggering, with ChatGPT reaching a million users in just five days. AI has a large appetite for data, requiring enormous computational power, especially considering its increasing demand.
Data centres are at the heart of AI's excitement, processing data, facilitating the flow of information, and remaining silent while completing tasks. AI demands three primary processors: GPU, CPU, and TPU.
Integrating AI into data centres presents challenges: power, connectivity, and cooling. AI is ever-emerging and evolving, requiring changes to regulation. Industries, including data centres, must keep up with these regulations.
The AI revolution is reshaping data centres and the digital landscape, with continuous development and mutual shaping of each other.
@Ai_Events
.
Artificial intelligence is changing the world, projected to have a global market value of $2-4 trillion USD by 2030. AI has crept into every facet of our lives, transforming work and play.
The surge of AI is staggering, with ChatGPT reaching a million users in just five days. AI has a large appetite for data, requiring enormous computational power, especially considering its increasing demand.
Data centres are at the heart of AI's excitement, processing data, facilitating the flow of information, and remaining silent while completing tasks. AI demands three primary processors: GPU, CPU, and TPU.
Integrating AI into data centres presents challenges: power, connectivity, and cooling. AI is ever-emerging and evolving, requiring changes to regulation. Industries, including data centres, must keep up with these regulations.
The AI revolution is reshaping data centres and the digital landscape, with continuous development and mutual shaping of each other.
@Ai_Events
.
xAI Unveils Grok-2 to Challenge the AI Hierarchy
xAI has announced the release of Grok-2, a significant upgrade to its chatbot model, boasting improved capabilities in chat, coding, and reasoning. Grok-2 mini, a smaller version, is also available in beta.
The company claims Grok-2 has shown significant improvements in reasoning with retrieved content and tool use capabilities. Benchmark results show substantial improvements over Grok-1.5, excelling in areas such as graduate-level science knowledge, general knowledge, and maths competition problems.
Grok-2 features a redesigned interface and new features, with Premium and Premium+ subscribers having access to both Grok-2 and Grok-2 mini. xAI is launching an enterprise API platform later this month, offering enhanced security features, rich traffic statistics, and advanced billing analytics.
The AI landscape remains competitive, with ChatGPT-4o and Google's Gemini 1.5 leading the pack. xAI's rapid progress is attributed to a small team with high talent density. The company plans to roll out multimodal understanding as a core part of the Grok experience and halt the use of certain EU data for model training.
@Ai_Events
.
xAI has announced the release of Grok-2, a significant upgrade to its chatbot model, boasting improved capabilities in chat, coding, and reasoning. Grok-2 mini, a smaller version, is also available in beta.
The company claims Grok-2 has shown significant improvements in reasoning with retrieved content and tool use capabilities. Benchmark results show substantial improvements over Grok-1.5, excelling in areas such as graduate-level science knowledge, general knowledge, and maths competition problems.
Grok-2 features a redesigned interface and new features, with Premium and Premium+ subscribers having access to both Grok-2 and Grok-2 mini. xAI is launching an enterprise API platform later this month, offering enhanced security features, rich traffic statistics, and advanced billing analytics.
The AI landscape remains competitive, with ChatGPT-4o and Google's Gemini 1.5 leading the pack. xAI's rapid progress is attributed to a small team with high talent density. The company plans to roll out multimodal understanding as a core part of the Grok experience and halt the use of certain EU data for model training.
@Ai_Events
.
X suspends use of EU user data for AI chatbot training
The European Union has become the center of a data privacy controversy surrounding social media platform X. On August 8, an Irish court declared that X had agreed to suspend the use of all data belonging to European Union citizens, which had been gathered via the platform for the purpose of training the company's AI systems.
The initiative was prompted by complaints from the Data Protection Commission (DPC) of Ireland, the leading EU regulator for many large US tech companies that have their main offices in Ireland under EU law.
The DPC's order comes amid intensified scrutiny of AI development practices across the EU by tech giants. Recently, the regulatory body sought an order to restrain or suspend X's data processing activities on users for the development, training, and refinement of an AI system.
The situation clearly depicts the growing conflict or tension experienced by nearly all EU states between AI advances and ongoing data protection concerns.
X has not remained silent on the matter, and the company's Global Government Affairs account on X noted that the DPC's order was 'unwarranted, overbroad, and singles out X without any justification.'
@Ai_Events
.
The European Union has become the center of a data privacy controversy surrounding social media platform X. On August 8, an Irish court declared that X had agreed to suspend the use of all data belonging to European Union citizens, which had been gathered via the platform for the purpose of training the company's AI systems.
The initiative was prompted by complaints from the Data Protection Commission (DPC) of Ireland, the leading EU regulator for many large US tech companies that have their main offices in Ireland under EU law.
The DPC's order comes amid intensified scrutiny of AI development practices across the EU by tech giants. Recently, the regulatory body sought an order to restrain or suspend X's data processing activities on users for the development, training, and refinement of an AI system.
The situation clearly depicts the growing conflict or tension experienced by nearly all EU states between AI advances and ongoing data protection concerns.
X has not remained silent on the matter, and the company's Global Government Affairs account on X noted that the DPC's order was 'unwarranted, overbroad, and singles out X without any justification.'
@Ai_Events
.
SingularityNET Bets on Supercomputer Network to Deliver AGI
SingularityNET is betting on a network of powerful supercomputers to get us to Artificial General Intelligence (AGI), with the first one set to whir into action this September.
The goal is to host and train incredibly complex AI architectures required for AGI, including deep neural networks, vast language models, and systems that seamlessly weave together human behaviors like speech and movement with multimedia outputs.
The first supercomputer will be a Frankensteinian beast of cutting-edge hardware: Nvidia GPUs, AMD processors, Tenstorrent server racks – you name it, it's in there.
SingularityNET has developed OpenCog Hyperon, an open-source software framework specifically designed for AI systems, to manage the distributed network and its precious data.
The company is not keeping all this brainpower to itself, and users will purchase access to the supercomputer network with the AGIX token on blockchains like Ethereum and Cardano and contribute data to the collective pool—fuelling further AGI development.
@Ai_Events
.
SingularityNET is betting on a network of powerful supercomputers to get us to Artificial General Intelligence (AGI), with the first one set to whir into action this September.
The goal is to host and train incredibly complex AI architectures required for AGI, including deep neural networks, vast language models, and systems that seamlessly weave together human behaviors like speech and movement with multimedia outputs.
The first supercomputer will be a Frankensteinian beast of cutting-edge hardware: Nvidia GPUs, AMD processors, Tenstorrent server racks – you name it, it's in there.
SingularityNET has developed OpenCog Hyperon, an open-source software framework specifically designed for AI systems, to manage the distributed network and its precious data.
The company is not keeping all this brainpower to itself, and users will purchase access to the supercomputer network with the AGIX token on blockchains like Ethereum and Cardano and contribute data to the collective pool—fuelling further AGI development.
@Ai_Events
.
Procreate Rejects Generative AI, Citing Ethical Concerns
Procreate, a popular iPad illustration app, has announced that it will not incorporate generative AI into its software. This decision comes amid a growing backlash from the art community over the ethics of AI use in creative industries.
Procreate's CEO, James Cuda, has spoken out against generative AI, stating that it is 'ripping the humanity out of things' and 'steering us toward a barren future'. He believes that AI image synthesis models, often trained on content without consent, threaten the livelihood and authenticity of digital artists.
The debate over generative AI has intensified among artists and companies alike. While some, like Adobe, are experimenting with training AI models on licensed or public domain content, others remain skeptical about the long-term consequences of AI's influence on creativity.
Procreate's decision to reject generative AI is a bold stance in an industry where many are embracing the technology. However, the company believes that its products should be designed and developed with human creativity in mind, rather than relying on AI-generated content.
@Ai_Events
.
Procreate, a popular iPad illustration app, has announced that it will not incorporate generative AI into its software. This decision comes amid a growing backlash from the art community over the ethics of AI use in creative industries.
Procreate's CEO, James Cuda, has spoken out against generative AI, stating that it is 'ripping the humanity out of things' and 'steering us toward a barren future'. He believes that AI image synthesis models, often trained on content without consent, threaten the livelihood and authenticity of digital artists.
The debate over generative AI has intensified among artists and companies alike. While some, like Adobe, are experimenting with training AI models on licensed or public domain content, others remain skeptical about the long-term consequences of AI's influence on creativity.
Procreate's decision to reject generative AI is a bold stance in an industry where many are embracing the technology. However, the company believes that its products should be designed and developed with human creativity in mind, rather than relying on AI-generated content.
@Ai_Events
.
AI-Generated Political Content for Democrats
Stories about AI-generated political content often end in disaster, but some US political campaigns are embracing these tools despite concerns. US Federal Communications Commission has proposed mandatory disclosures for AI use in television and radio ads.
One such startup is BattlegroundAI, a Denver-based company that uses generative AI to create digital advertising copy at a rapid clip. It launched a private beta six weeks ago and a public beta just last week, with around 60 clients so far.
The company's interface allows users to select from popular language models and customize results by tone and creativity level. BattlegroundAI declined to provide examples of actual political ads created using its services, but WIRED tested the product by creating a campaign on the issue of media freedom.
BattlegroundAI offers only text generation, adhering to regulations around AI use in political ads. The company is well-suited for politics, built with those rules in mind. Democratic digital ad agency Uplift has been testing the BattlegroundAI beta and finds it helpful for idea generation.
@Ai_Events
.
Stories about AI-generated political content often end in disaster, but some US political campaigns are embracing these tools despite concerns. US Federal Communications Commission has proposed mandatory disclosures for AI use in television and radio ads.
One such startup is BattlegroundAI, a Denver-based company that uses generative AI to create digital advertising copy at a rapid clip. It launched a private beta six weeks ago and a public beta just last week, with around 60 clients so far.
The company's interface allows users to select from popular language models and customize results by tone and creativity level. BattlegroundAI declined to provide examples of actual political ads created using its services, but WIRED tested the product by creating a campaign on the issue of media freedom.
BattlegroundAI offers only text generation, adhering to regulations around AI use in political ads. The company is well-suited for politics, built with those rules in mind. Democratic digital ad agency Uplift has been testing the BattlegroundAI beta and finds it helpful for idea generation.
@Ai_Events
.
UBC Lab's AI Scientist Makes Breakthroughs in Open-Ended Learning
Researchers at the University of British Columbia's (UBC) AI lab have developed an AI scientist that can learn and invent novel ideas, marking an early step towards revolutionary AI capabilities.
The AI scientist, developed in collaboration with Oxford researchers and startup Sakana AI, demonstrates the potential of open-ended learning, where AI programs can explore and experiment to generate novel ideas.
While the current results are incremental, the technology has the potential to unlock capabilities that extend beyond what humans have shown AI programs.
Jeff Clune, the professor leading the UBC lab, admits that the ideas are not wildly creative, but they're 'pretty cool' and could lead to significant advancements in AI development.
The potential applications of this technology are vast, including the development of more powerful and reliable AI agents that can autonomously perform useful tasks on computers.
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Researchers at the University of British Columbia's (UBC) AI lab have developed an AI scientist that can learn and invent novel ideas, marking an early step towards revolutionary AI capabilities.
The AI scientist, developed in collaboration with Oxford researchers and startup Sakana AI, demonstrates the potential of open-ended learning, where AI programs can explore and experiment to generate novel ideas.
While the current results are incremental, the technology has the potential to unlock capabilities that extend beyond what humans have shown AI programs.
Jeff Clune, the professor leading the UBC lab, admits that the ideas are not wildly creative, but they're 'pretty cool' and could lead to significant advancements in AI development.
The potential applications of this technology are vast, including the development of more powerful and reliable AI agents that can autonomously perform useful tasks on computers.
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US Government Partners with AI Red-Teaming Effort to Evaluate Generative AI
At the 2023 Defcon hacker conference, prominent AI tech companies partnered with transparency groups to test generative AI platforms for weaknesses.
The exercise, supported by the US government, aimed to make these critical systems more transparent and accountable.
Humane Intelligence, an ethical AI assessment nonprofit, is taking this model further by inviting the public to participate in a nationwide red-teaming effort.
The online qualifier is open to developers and the general public and will take place as part of NIST's AI challenges.
Participants will evaluate AI office productivity software and identify potential biases and vulnerabilities, with the goal of expanding the capacity for rigorous testing of generative AI technologies.
@Ai_Events
.
At the 2023 Defcon hacker conference, prominent AI tech companies partnered with transparency groups to test generative AI platforms for weaknesses.
The exercise, supported by the US government, aimed to make these critical systems more transparent and accountable.
Humane Intelligence, an ethical AI assessment nonprofit, is taking this model further by inviting the public to participate in a nationwide red-teaming effort.
The online qualifier is open to developers and the general public and will take place as part of NIST's AI challenges.
Participants will evaluate AI office productivity software and identify potential biases and vulnerabilities, with the goal of expanding the capacity for rigorous testing of generative AI technologies.
@Ai_Events
.