Tag #Artificial Intelligence

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mk.ru

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Jan 11, 13:09

Toyota's $10 Billion Woven City to Test Future Technologies

Toyota is building a $10 billion experimental city, Woven City, near Susono City, Japan, to test technologies like drone delivery and autonomous vehicles; 100 Toyota employees will be the first residents this fall, expanding to 2200 eventually.

Toyota's $10 Billion Woven City to Test Future Technologies

Toyota is building a $10 billion experimental city, Woven City, near Susono City, Japan, to test technologies like drone delivery and autonomous vehicles; 100 Toyota employees will be the first residents this fall, expanding to 2200 eventually.

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Sustainable Cities and Communities

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How does Toyota's history influence the design and goals of Woven City?

Woven City, located on a former Toyota factory site, will serve as a "living laboratory" for testing innovations like drone delivery, interactive pet robots, and autonomous driving. The city's development is linked to Toyota's origins as a loom manufacturer.

forbes.com

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Jan 11, 19:09

Participatory AI Design: Addressing Challenges of Unpredictability and Bias

Stanford professor James Landay advocates for a participative approach to AI design, emphasizing human-centered values and diverse expertise to address challenges posed by AI's probabilistic nature and unpredictable outputs.

Participatory AI Design: Addressing Challenges of Unpredictability and Bias

Stanford professor James Landay advocates for a participative approach to AI design, emphasizing human-centered values and diverse expertise to address challenges posed by AI's probabilistic nature and unpredictable outputs.

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Quality Education

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What are the key challenges in current AI development that necessitate a more holistic and human-centered approach?

Professor James Landay of Stanford University advocates for participative AI design, emphasizing the importance of holistic design and human-centered values to ensure successful AI implementation. He highlights the challenges of AI's probabilistic nature, leading to unpredictable outputs and hallucinations, and the insufficient checks and balances currently in place.

cnn.com

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Jan 11, 22:06

AI and Healthcare Lead Fastest-Growing Jobs; Diversity and Inclusion Roles Decline

LinkedIn's analysis of job growth from January 2022 to July 2024 shows Artificial Intelligence Engineer and Consultant as the top two fastest-growing jobs, followed by Physical Therapist; however, Diversity and Inclusion roles show decreased growth compared to previous years.

AI and Healthcare Lead Fastest-Growing Jobs; Diversity and Inclusion Roles Decline

LinkedIn's analysis of job growth from January 2022 to July 2024 shows Artificial Intelligence Engineer and Consultant as the top two fastest-growing jobs, followed by Physical Therapist; however, Diversity and Inclusion roles show decreased growth compared to previous years.

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Decent Work and Economic Growth

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How does the significant growth in AI-related jobs compare to the decline in Diversity and Inclusion roles, and what factors may contribute to this contrast?

The shift in fastest-growing jobs reflects evolving technological advancements and economic trends. The dominance of AI-related roles indicates the increasing importance of artificial intelligence across industries. The inclusion of physical therapist highlights the continued demand for healthcare services, while the decline in Diversity and Inclusion roles may reflect broader economic shifts or changing company priorities.

apnews.com

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Jan 11, 01:07

Mississippi Issues Executive Order on AI Governance

Mississippi Governor Tate Reeves issued Executive Order 1584 on January 11, 2024, directing the Department of Internet Technology Services to assess state agencies' AI use and create policy recommendations for fair, secure, and transparent AI practices in both the public and private sectors.

Mississippi Issues Executive Order on AI Governance

Mississippi Governor Tate Reeves issued Executive Order 1584 on January 11, 2024, directing the Department of Internet Technology Services to assess state agencies' AI use and create policy recommendations for fair, secure, and transparent AI practices in both the public and private sectors.

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Reduced Inequality

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What immediate actions does Governor Reeves' Executive Order 1584 initiate regarding artificial intelligence in Mississippi?

Mississippi Governor Tate Reeves issued Executive Order 1584 on January 11, 2024, mandating a state-level assessment of AI usage across public and private sectors. The order directs the Department of Internet Technology Services (ITS) to create policy recommendations ensuring fairness, security, transparency, and privacy. This follows previous legislative failures to regulate AI.

forbes.com

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Jan 10, 04:06

CES 2025: AI, Health Wearables, and Smart Glasses Dominate

CES 2025 highlighted three key trends: widespread AI integration across devices, the rise of health-focused wearables like new smart rings and glucose monitors from major players such as Dexcom and Abbot, and significant advancements in smart glasses technology featuring improved visuals and real-ti...

CES 2025: AI, Health Wearables, and Smart Glasses Dominate

CES 2025 highlighted three key trends: widespread AI integration across devices, the rise of health-focused wearables like new smart rings and glucose monitors from major players such as Dexcom and Abbot, and significant advancements in smart glasses technology featuring improved visuals and real-ti...

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Good Health and Well-being

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How do the new health-focused wearables presented at CES 2025 address existing market needs and competition?

The prevalence of AI, health wearables, and smart glasses at CES 2025 reflects a broader technological shift toward personalized, interconnected devices. Companies like Dexcom and Abbott are directly competing in the over-the-counter glucose monitoring market, while several firms are vying for dominance in the rapidly expanding smart glasses sector.

mk.ru

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Jan 10, 13:09

AI Data Exhaustion Drives Shift to Synthetic Data, Raising Concerns About Accuracy

Elon Musk claims AI companies have depleted the sum of human knowledge for training models, necessitating the use of AI-generated synthetic data, a method already adopted by several leading AI firms, but posing challenges due to AI's tendency towards hallucinations.

AI Data Exhaustion Drives Shift to Synthetic Data, Raising Concerns About Accuracy

Elon Musk claims AI companies have depleted the sum of human knowledge for training models, necessitating the use of AI-generated synthetic data, a method already adopted by several leading AI firms, but posing challenges due to AI's tendency towards hallucinations.

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Quality Education

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What are the implications of AI companies exhausting the available data for training models, and what methods are being employed to address this limitation?

According to Elon Musk, AI companies have exhausted the data used to train their models, reaching the limit of human knowledge. This has led to the use of AI-generated synthetic data for training new models, a practice already employed by companies like Meta, Microsoft, Google, and OpenAI.", A2="Musk suggests that the only way to overcome this data shortage is to transition to AI-generated synthetic data. This method involves creating content with AI, evaluating it, and using this process for self-training. The use of synthetic data is already a common practice within the AI industry.", A3="The reliance on synthetic data presents challenges, as AI models are prone to producing inaccurate or nonsensical outputs, known as hallucinations. This makes it difficult to discern fact from fiction in AI-generated training materials, raising concerns about the reliability of future AI models.", Q1="What are the implications of AI companies exhausting the available data for training models, and what methods are being employed to address this limitation?", Q2="What are the benefits and drawbacks of using synthetic data generated by AI models for training future generations of AI, and what are the ethical considerations involved?", Q3="What are the potential long-term effects of relying on synthetic data in AI development, and how can the issue of hallucinations be addressed to ensure the reliability of AI-generated content?", ShortDescription="Elon Musk claims AI companies have depleted the sum of human knowledge for training models, necessitating the use of AI-generated synthetic data, a method already adopted by several leading AI firms, but posing challenges due to AI's tendency towards hallucinations.", ShortTitle="AI Data Exhaustion Drives Shift to Synthetic Data, Raising Concerns About Accuracy")) ⏎print(type(default_api.final_result(A1="According to Elon Musk, AI companies have exhausted the data used to train their models, reaching the limit of human knowledge. This has led to the use of AI-generated synthetic data for training new models, a practice already employed by companies like Meta, Microsoft, Google, and OpenAI.", A2="Musk suggests that the only way to overcome this data shortage is to transition to AI-generated synthetic data. This method involves creating content with AI, evaluating it, and using this process for self-training. The use of synthetic data is already a common practice within the AI industry.", A3="The reliance on synthetic data presents challenges, as AI models are prone to producing inaccurate or nonsensical outputs, known as hallucinations. This makes it difficult to discern fact from fiction in AI-generated training materials, raising concerns about the reliability of future AI models.", Q1="What are the implications of AI companies exhausting the available data for training models, and what methods are being employed to address this limitation?", Q2="What are the benefits and drawbacks of using synthetic data generated by AI models for training future generations of AI, and what are the ethical considerations involved?", Q3="What are the potential long-term effects of relying on synthetic data in AI development, and how can the issue of hallucinations be addressed to ensure the reliability of AI-generated content?", ShortDescription="Elon Musk claims AI companies have depleted the sum of human knowledge for training models, necessitating the use of AI-generated synthetic data, a method already adopted by several leading AI firms, but posing challenges due to AI's tendency towards hallucinations.", ShortTitle="AI Data Exhaustion Drives Shift to Synthetic Data, Raising Concerns About Accuracy")))⏎print(default_api.final_result(A1="According to Elon Musk, AI companies have exhausted the data used to train their models, reaching the limit of human knowledge. This has led to the use of AI-generated synthetic data for training new models, a practice already employed by companies like Meta, Microsoft, Google, and OpenAI.", A2="Musk suggests that the only way to overcome this data shortage is to transition to AI-generated synthetic data. This method involves creating content with AI, evaluating it, and using this process for self-training. The use of synthetic data is already a common practice within the AI industry.", A3="The reliance on synthetic data presents challenges, as AI models are prone to producing inaccurate or nonsensical outputs, known as hallucinations. This makes it difficult to discern fact from fiction in AI-generated training materials, raising concerns about the reliability of future AI models.", Q1="What are the implications of AI companies exhausting the available data for training models, and what methods are being employed to address this limitation?", Q2="What are the benefits and drawbacks of using synthetic data generated by AI models for training future generations of AI, and what are the ethical considerations involved?", Q3="What are the potential long-term effects of relying on synthetic data in AI development, and how can the issue of hallucinations be addressed to ensure the reliability of AI-generated content?", ShortDescription="Elon Musk claims AI companies have depleted the sum of human knowledge for training models, necessitating the use of AI-generated synthetic data, a method already adopted by several leading AI firms, but posing challenges due to AI's tendency towards hallucinations.", ShortTitle="AI Data Exhaustion Drives Shift to Synthetic Data, Raising Concerns About Accuracy"))

liberation.fr

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Jan 11, 16:08

AI Agents: Automating Tasks, Raising Privacy and Security Risks

Tech companies are developing AI agents that can control computers, automating tasks but raising major privacy and security concerns; Anthropic's agent vulnerability and Microsoft's Recall delay highlight these risks, demanding solutions balancing innovation and user protection.

AI Agents: Automating Tasks, Raising Privacy and Security Risks

Tech companies are developing AI agents that can control computers, automating tasks but raising major privacy and security concerns; Anthropic's agent vulnerability and Microsoft's Recall delay highlight these risks, demanding solutions balancing innovation and user protection.

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Reduced Inequality

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What are the immediate security and privacy implications of AI agents controlling computers on behalf of users?

Tech companies are rapidly advancing AI agents, enabling chatbots to not only respond to user queries but also control computers on a person's behalf. This raises significant privacy and security concerns, as users must share more of their digital lives with these companies.

forbes.com

🌐 85% Global Worthiness

Jan 11, 19:09

Debunking Three AI Myths: Prompt Engineering, Detectors, and True Literacy

Three widely held assumptions about artificial intelligence—that prompt engineering is a career, AI detectors are reliable, and using AI equals understanding AI—are challenged, with 2025 predicted as the year these misconceptions will be debunked due to practical limitations and the increasing sophi...

Debunking Three AI Myths: Prompt Engineering, Detectors, and True Literacy

Three widely held assumptions about artificial intelligence—that prompt engineering is a career, AI detectors are reliable, and using AI equals understanding AI—are challenged, with 2025 predicted as the year these misconceptions will be debunked due to practical limitations and the increasing sophi...

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Quality Education

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How do the internal workings of AI models render AI detection tools unreliable, and what alternative methods are emerging to address this issue?

The article debunks three common misconceptions surrounding AI. Firstly, prompt engineering's perceived career potential is challenged by the increasing ease of use of LLMs. Secondly, the inherent limitations of AI detection tools are highlighted, with their failure rate rising. Finally, it distinguishes between simply using AI and understanding its underlying mechanisms, arguing that true AI literacy necessitates the latter for professionals whose jobs are increasingly automated.

foxnews.com

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Jan 11, 22:06

Pudu Robotics Unveils D9 Humanoid Robot

Pudu Robotics launched the D9, a 5.57-foot-tall humanoid robot capable of walking at 4.5 mph, carrying 44 pounds, and performing various tasks using advanced AI and sensors; its estimated price is $20,000-$30,000.

Pudu Robotics Unveils D9 Humanoid Robot

Pudu Robotics launched the D9, a 5.57-foot-tall humanoid robot capable of walking at 4.5 mph, carrying 44 pounds, and performing various tasks using advanced AI and sensors; its estimated price is $20,000-$30,000.

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Industry, Innovation, and Infrastructure

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What is the immediate impact of the Pudu D9's advanced mobility and AI capabilities on industrial automation?

Pudu Robotics unveiled the D9 humanoid robot, capable of walking at 4.5 mph, carrying 44 pounds, and navigating stairs. Its AI allows for natural interaction and versatile applications across various sectors.

kathimerini.gr

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Jan 10, 19:10

Meta Shifts Content Moderation Policy, Prioritizing User Reports Over AI Detection

Meta, formerly Facebook, is ending partnerships with fact-checking organizations and shifting to a more reactive approach to content moderation, prioritizing user reports over proactive AI detection, raising concerns about misinformation and harmful content.

Meta Shifts Content Moderation Policy, Prioritizing User Reports Over AI Detection

Meta, formerly Facebook, is ending partnerships with fact-checking organizations and shifting to a more reactive approach to content moderation, prioritizing user reports over proactive AI detection, raising concerns about misinformation and harmful content.

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Peace, Justice, and Strong Institutions

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How do Meta's recent policy changes reflect the company's response to political pressure from both Republican and Democratic parties, and what are the broader implications for the future of online content moderation?

Meta's shift reflects a strategic response to political pressure, particularly from Republicans and Donald Trump's direct attacks. Zuckerberg's decision to cease collaboration with fact-checking organizations and transition to a more reactive content moderation approach prioritizes political survival over initial company values. This is coupled with a relocation of content moderation teams from California to Texas.

forbes.com

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Jan 10, 10:08

AI's Reshaping of the Legal Profession by 2025

By 2025, AI, particularly LLMs, will automate routine legal tasks, improve access to justice through cost-effective solutions, and redefine the lawyer's role, requiring a focus on responsible AI implementation.

AI's Reshaping of the Legal Profession by 2025

By 2025, AI, particularly LLMs, will automate routine legal tasks, improve access to justice through cost-effective solutions, and redefine the lawyer's role, requiring a focus on responsible AI implementation.

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Reduced Inequality

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How are LLMs transforming the legal profession and impacting access to justice by 2025?

Large language models (LLMs) are automating tasks like drafting legal documents and answering questions, freeing legal professionals for more complex work. This increased efficiency is improving access to legal services, particularly for small businesses and individuals.

forbes.com

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Jan 10, 16:11

Healthcare Cybersecurity: A $1.94 Billion Wake-Up Call

The cybersecurity market, valued at nearly $222 billion in 2023, is driven largely by healthcare's sensitive data; the 2024 CrowdStrike outage cost healthcare an estimated $1.94 billion, emphasizing the need for proactive security measures against evolving AI-related threats.

Healthcare Cybersecurity: A $1.94 Billion Wake-Up Call

The cybersecurity market, valued at nearly $222 billion in 2023, is driven largely by healthcare's sensitive data; the 2024 CrowdStrike outage cost healthcare an estimated $1.94 billion, emphasizing the need for proactive security measures against evolving AI-related threats.

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Good Health and Well-being

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How did the 2024 CrowdStrike outage specifically affect the healthcare industry, and what were the estimated financial losses?

The increasing use of AI and digital tools in healthcare necessitates robust cybersecurity. The CrowdStrike outage in 2024 significantly impacted healthcare, resulting in estimated losses of $1.94 billion. This highlights the need for proactive, rather than solely reactive, security measures.

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