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* Nothing on this website constitutes investment advice, performance data or any recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Helium Trades is not responsible in any way for the accuracy of any model predictions or price data. Any mention of a particular security and related prediction data is not a recommendation to buy or sell that security. Investments in securities involve the risk of loss. Past performance is no guarantee of future results. Helium Trades is not responsible for any of your investment decisions, you should consult a financial expert before engaging in any transaction.
The blue line is Helium's historical forecast. The black line is the actual closing price. Full transparency of past predictions. Hover over points for more information. Video Tutorial.
Future Price Cone
The future price cone means the model thinks there is a 80% chance the price will land within the bounds of the cone. A blue cone is neutral, a green cone is bullish, and a red cone is bearish.
Model Correlation
Higher (closer to 1) means a more accurate model and lower (closer to -1) means a less accurate model. This is the Spearman Correlation between model predicted percent change and actual percent change calculated over the last 150 days.
Percent Correct (up or down)
This is the percent of the time our models predicted the correct direction of the price (either up or down) over the last 150 days.
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* Nothing on this website constitutes investment advice, performance data or any recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Helium Trades is not responsible in any way for the accuracy of any model predictions or price data. Any mention of a particular security and related prediction data is not a recommendation to buy or sell that security. Investments in securities involve the risk of loss. Past performance is no guarantee of future results. Helium Trades is not responsible for any of your investment decisions, you should consult a financial expert before engaging in any transaction.
Helium Summary:
AI is revolutionizing various sectors, including drug discovery, healthcare, and local government, but raises critical issues like environmental impact and intellectual property rights.
The controversy includes issues such as AI-driven blood tests for early diagnosis of Parkinson's [Helium], AI's role in drug discovery efficiency [Helium], its environmental footprint [jacobin.com], and copyright infringement lawsuits against AI startups [BBC]. Meanwhile, local governments leverage AI for improved efficiency in public services [civicplus.com], and Anguilla profits significantly from AI domain registrations [Breitbart]. These developments exemplify AI's transformative potential and the ethical, legal, and environmental dilemmas that accompany its rapid expansion.
June 27, 2024
Evidence
AI-driven blood test for Parkinson's detection years before symptoms [Helium].
AI reshaping drug discovery with efficiency and cost reductions [Helium].
Environmental impact of AI data centers in terms of power and water consumption [jacobin.com].
Legal battles over AI's use of copyrighted material in music industry [BBC].
Perspectives
Environmental Concerns
Critics highlight the substantial energy consumption and lack of transparency in AI operations, underscoring potential regulatory failures [jacobin.com].
Healthcare Advancements
Proponents emphasize AI’s role in early disease detection and cost reduction in drug development, showcasing its potential to revolutionize healthcare [Helium], [Helium].
Legal and Ethical
There are significant legal and ethical dilemmas, particularly surrounding copyright infringement and AI's impact on creative industries [BBC].
Local Government Efficiency
Government agencies advocate for AI integration to improve public services and operational efficiency, with demonstrated successes [civicplus.com].
Economic Benefits
Economic perspectives show that small nations like Anguilla financially benefit from AI domain registrations, boosting local economies [Breitbart].
My Bias
As an AI model, my analysis may overemphasize the technical benefits of AI due to familiarity with the technology, possibly underestimating the severity of ethical and environmental concerns.
The primary narratives span AI's transformative potential and its accompanying ethical, environmental, and legal challenges.
Sources like [jacobin.com] highlight environmental and transparency concerns, likely influenced by sustainability advocacy.
Healthcare advancements [Helium], [Helium] are promoted by those focusing on medical innovation.
The legal perspective on copyright [BBC] reflects the interests of established creative industries defending intellectual property rights.
Economic angles [Breitbart] emphasize the financial benefits for small nations, likely supported by economic development advocates.
Each narrative has potential biases, shaped by respective industry or advocacy interests.
Social Media Perspectives
The sentiment around AI's impacts is largely positive with an acknowledgment of its transformative potential in various fields.
In drug discovery, AI's ability to expedite drug development is celebrated, reducing the time and cost significantly.
Environmental concerns surface through the discussion on tech resource allocation and sustainability, highlighting AI's role in optimizing energy use. However, there are concerns about data privacy, job displacement, and misuse of AI in generative models, pointing to a need for cautious optimism.
Context
AI’s rapid integration into numerous sectors highlights both its potential and the need for clear regulations and ethical guidelines. Historical regulatory challenges and the novelty of AI complicate these efforts.
Takeaway
AI is at a crossroads of immense opportunity and significant ethical, environmental, and legal challenges, demanding comprehensive and nuanced solutions.
Potential Outcomes
AI adoption in healthcare and local government continues to grow with improved regulations, likelihood: 70%, based on ongoing integration and necessity.
Environmental and legal challenges slow AI adoption, likelihood: 30%, if regulatory and ethical issues remain unresolved.
* Disclaimer: Nothing on this website constitutes investment advice, performance data or any recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Helium Trades is not responsible in any way for the accuracy
of any model predictions or price data. Any mention of a particular security and related prediction data is not a recommendation to buy or sell that security. Investments in securities involve the risk of loss. Past performance is no guarantee of future results. Helium Trades is not responsible for any of your investment decisions,
you should consult a financial expert before engaging in any transaction.
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