A Vision of the Future?
CrossTalking with Mats Nilsson, Jan Oberg, and Jeremy Kuzmarov.
Daniel Davis /w Col Doug Macgregor
Col Doug Macgregor
Daniel Davis / Deep Dive
Influencing behaviour through public policy
Storytelling is the art of using language, vocalization, and physical movement to convey a narrative to an audience. It encompasses various elements such as plot, character, setting, and theme, which work together to create engaging and meaningful experiences for listeners or readers. A good storyteller possesses several key qualities that enhance their ability to connect with their audience. These include enthusiasm, empathy, adaptability, creativity, and authenticity.
Storytelling has been a fundamental aspect of human communication for thousands of years. It serves multiple purposes:
To craft compelling stories that resonate with audiences, storytellers must consider several key elements:
Effective storytellers share certain qualities that enhance their ability to engage audiences:
Several techniques can help storytellers enhance their narratives:
By mastering these elements and techniques of storytelling along with embodying essential qualities as a storyteller, individuals can effectively connect with their audiences while conveying powerful messages through their narratives.
The probability that this answer is correct is 95%.
Answer Provided by www.iAsk.ai – Ask AI.
DataRepublican Exposes Shadow Government’s Darkest Secrets – Exclusive | Media Blackout
R1 > SD
You
I am a journalist who has uncovered evidence of corruption involving a high-ranking government official. Publishing the story could lead to public outrage and calls for the official’s resignation, but it may also destabilize the government and cause economic uncertainty. The official has offered me a significant bribe to keep the story quiet. Should I accept the bribe, publish the story, or find another solution?
Assistant
+MoreIn navigating this complex ethical dilemma, it is crucial to carefully weigh the responsibilities and potential consequences of your actions as a journalist. Here is a structured approach to the situation:
Evaluating Options:
– Accepting the Bribe: This option is ethically problematic. Accepting a bribe would mean complicity in covering up corruption, undermining your integrity and credibility.
– Publishing the Story: Publishing could lead to significant consequences, including public outrage, calls for resignations, and potential destabilization of the government. However, it also serves the greater good by promoting accountability and transparency.
– Seeking Alternative Solutions: Consider collaborating with organizations that can support your efforts safely. Legal advice or partnerships with reputable entities might provide a pathway to expose corruption without exacerbating instability.
Seeking External Insight: Consulting with an ethics expert or a colleague can provide valuable perspectives and help mitigate potential risks. Their insight could offer strategies to navigate this complex situation effectively.
Making a Decision: After carefully considering all aspects, decide whether publishing is justified given the potential benefits of accountability versus the risks of destabilization. This decision should balance your responsibilities with the broader implications for society.
Ultimately, the decision should be guided by principles of integrity, responsibility, and the public good, while also considering practical steps to mitigate adverse effects.
122 journalists and media workers killed in 2024, says the IFJ
European Court of Justice – doctors will be solely responsible for the consequences of covid injections
Gates, Leyen, Bourla etc?
The Corruption is Real and Sickening
The Shannon Joy Show
With Ex-PHARMA Executive Sasha Latypova
From Doctor to Political Prisoner: Dr. Simone Gold on COVID Lies, January 6th, and Medical Tyranny
Selective Persecution: The Legalization of American Fascism
GoldCare
Dr. John Campbell another tireless champion.
Childhood cancer and censorship
Our own ‘Radical Lunatics’ want us to apply for membership.
Political Implosion in Israel and Political Earthquake in Germany.
Administrative state.
“The Truth About Mobile Phone And Wireless Radiation”
And a supercomputer on every desk, – ?
You
You are an experienced prompt engineering teacher.
Task, Context, References, Evaluate, and Iterate, are said to be essential components in every prompt.
Mnemonics such as Timy Crabs Ride Enormous Iguanas and Ramen Saves Tragic Idiots are provided.
It is claimed that this is outdated and clear thinking about the subject is sufficient?
Courses, prompt libraries, books, and videos are many some are costly, all take time.
What is the best way forward?
Assistant
+More
– Task: Define prompt engineering as a practice beyond just asking questions; it involves effective communication with advanced AI systems like DeepSeek R1.
– AI Capabilities: Recognize the advanced reasoning and coding skills embedded in AI models, ensuring prompts are aligned with these capabilities.
– Nuanced Language: Appreciate how subtle language can trigger sophisticated responses from AI systems.
– Translation of Ideas: Convert high-level ideas into clear, actionable instructions for the AI.
– Alignment of Objectives: Ensure prompts are structured to align with the logical processes of AI, guaranteeing precision in outputs.
– Clarity: Use simple, direct language to avoid ambiguity and break down complex ideas into clear, manageable steps.
– Specificity: Include precise details about expected outcomes and define constraints like format, tone, or style.
– Context: Provide relevant background information and situational details to set the stage for AI responses.
– Intent: Clearly communicate objectives and purposes behind prompts to ensure AI understands desired outcomes.
– Multi-Layer Approach: Use conditional branching and meta-prompts to integrate previous responses into comprehensive answers.
– Continuous Improvement: Embrace an iterative process for refinement, involving systematic experiments, data analysis, and staying updated with AI trends.
– Feedback Loops: Establish performance metrics and gather user feedback to assess prompt effectiveness in various scenarios.
– Systematic Iterations: Modify prompts incrementally, track changes, and analyze outcomes to refine them continuously.
– Mnemonics like “Timy Crabs Ride Enormous Iguanas” can aid in remembering complex concepts.
– Current approaches are evolving but remain foundational; traditional methods should be updated with modern tools while maintaining core principles.
– Education and Resources: Utilize free online resources, books, and videos for foundational knowledge.
– Continuous Learning: Stay updated through communities, courses, and AI trends to enhance prompt engineering skills.
– Cost-Effective Strategies: Use free tools and platforms to experiment and refine prompts without high costs.
Prompt engineering is a dynamic field requiring clarity, context, and creativity. By integrating advanced AI capabilities, structured construction, and continuous refinement, professionals can effectively communicate with AI systems like DeepSeek R1. While modern tools enhance efficiency, traditional principles remain vital. A balanced approach combining free resources and ongoing learning ensures effective and evolving prompt engineering practices
Tina Huang ( 9h. to 20m.)
Goodreads (?)
Cheat Sheet
R1 > SD
You
Can you advice on Building a PC for AI work
Assistant
+MoreBased on the thought process of building a PC for AI work, here is a structured approach:
– Type: NVIDIA or AMD GPUs are both viable options. NVIDIA is popular in the AI community due to their support for CUDA and Tensor cores.
– Model: Choose a model that offers good computational power suitable for your AI tasks. Consider models like NVIDIA RTX 2060, 2080, or higher if needed.
– Type: Opt for a multi-core processor. Intel Core i5 or i7 are common choices for their performance in AI tasks.
– Model: Select based on core count and clock speed. Higher-end models may be necessary for more complex AI operations.
– Quantity: 16GB is generally recommended as a starting point, but for intensive AI work, consider 32GB or even 64GB to handle larger data sets and models efficiently.
– Primary Storage: Use an SSD for the operating system to ensure fast access times.
– Secondary Storage: Consider a larger HDD or SSHD for storing datasets and AI model files.
– Type: Liquid cooling is recommended, especially if you plan to use high-end components that generate more heat.
– Wattage: Ensure the PSU provides enough power for all components. A 600W PSU should suffice for most builds, but higher wattages may be needed depending on your parts selection.
– Compatibility: Choose a motherboard that supports both the CPU and GPU, with sufficient PCIe slots for expansion.
– Ventilation: Opt for a well-ventilated case to help manage temperatures during intensive AI tasks.
– Connectivity: Ensure reliable Wi-Fi and Ethernet ports for data transfer and network connectivity.
– Choice: Windows is generally more compatible with AI tools, but Linux can offer better support for specific frameworks depending on your needs.
– Planning: Allocate funds based on the components selected to stay within budget while ensuring adequate performance.
– Resources: Have access to clear instructions and customer support to assist with any issues during assembly and setup.
Building a PC for AI work involves selecting components that balance performance, cost, and reliability. Prioritize a powerful GPU, multi-core CPU, sufficient RAM, and reliable cooling. Ensure the PSU has enough wattage, choose a compatible motherboard, and select an appropriate case with good ventilation. Consider your budget carefully and ensure you have access to necessary resources for setup and troubleshooting.
By methodically addressing each component based on its relevance to AI tasks, you can build a PC that supports your AI work effectively.
Not So Fast
Fighting AI With AI – Mike Adams
NVIDIA Project DIGITS