BREAKING NEWS
LATEST POSTS
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The Last Of Us developer series, episode 2 – Wasteland Beautiful
httpv://www.youtube.com/watch?v=mty2wE–yw8
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Google Street View Hyperlapse
All Google Street View imagery captured using hyperlapse.tllabs.io. Source code available at github.com/TeehanLax/Hyperlapse.js.
Read the full story: teehanlax.com/labs/hyperlapse/
FEATURED POSTS
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AI and the Law – This Vox article is OpenAI training data – How AI is holding the internet hostage and media is no exception
- Pros of AI Chatbots:
- Efficiency and Accessibility: AI chatbots can handle a large volume of queries simultaneously, providing quick and consistent responses, which is beneficial for customer service and support.
- 24/7 Availability: Unlike human operators, chatbots are available around the clock, ensuring that users can get assistance at any time.
- Cost-Effective: Implementing chatbots can reduce operational costs for businesses by minimizing the need for large customer service teams.
- Personalization and Scalability: Advanced AI can offer personalized responses and scale effortlessly to meet demand.
- Cons of AI Chatbots:
- Bias and Misinformation: AI chatbots can inadvertently propagate biases present in their training data, leading to inaccurate or offensive responses.
- Lack of Human Touch: Chatbots may struggle to understand and respond appropriately to nuanced human emotions and complex queries, potentially frustrating users.
- Technical Limitations: While AI is advancing, chatbots can still make errors and provide incorrect information, which can undermine user trust.
- Environmental Impact: Training and running large AI models consume significant energy, contributing to carbon emissions and environmental concerns.
The deployment of AI chatbots raises significant ethical concerns. Biases in training data can lead to the generation of skewed or harmful content, posing risks to users and undermining trust in AI systems. Additionally, the potential misuse of AI chatbots for spreading misinformation and the environmental impact of training large AI models are critical issues that require attention.
The trajectory of AI chatbot development points towards increasingly sophisticated and generalized AI capabilities. As research progresses towards Artificial General Intelligence (AGI), the potential applications of AI chatbots are expected to expand further, encompassing more complex and nuanced tasks. However, achieving AGI will require addressing current ethical and technical challenges to ensure the responsible development and deployment of AI technologies.
- Pros of AI Chatbots:
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Kristina Kashtanova – “This is how GPT-4 sees and hears itself”
“I used GPT-4 to describe itself. Then I used its description to generate an image, a video based on this image and a soundtrack.
Tools I used: GPT-4, Midjourney, Kaiber AI, Mubert, RunwayML
This is the description I used that GPT-4 had of itself as a prompt to text-to-image, image-to-video, and text-to-music. I put the video and sound together in RunwayML.
GPT-4 described itself as: “Imagine a sleek, metallic sphere with a smooth surface, representing the vast knowledge contained within the model. The sphere emits a soft, pulsating glow that shifts between various colors, symbolizing the dynamic nature of the AI as it processes information and generates responses. The sphere appears to float in a digital environment, surrounded by streams of data and code, reflecting the complex algorithms and computing power behind the AI”