Mentions in this episode: David Dunham LinkedIn: ⁠⁠⁠https://www.linkedin.com/in/dunhamdavid/⁠⁠

Pragmatic Safety: ⁠⁠https://pragmaticsafety.ca⁠ Construction Industry AI: ⁠⁠https://constructionindustryai.com⁠ GenAI Jumpstart Course: ⁠⁠https://www.blackfeatherai.com/genai-jumpstart⁠

###

CHAPTERS 00:00 - Introduction to David's AI entrepreneurship journey 01:51 - Early AI adoption in traditional industry 03:11 - Identifying opportunities in industry transformation 04:53 - Overcoming initial AI anxiety barriers 06:18 - Finding your niche in the AI landscape 08:38 - Converting industry expertise into content 12:50 - Building a profitable AI newsletter 14:34 - Content creation workflow with AI tools 16:47 - Scaling industry knowledge into revenue 21:00 - Timing and opportunity in AI entrepreneurship 23:45 - Leveraging AI for 24/7 productivity 25:08 - Democratizing professional capabilities 26:42 - Future opportunities in industry AI 29:22 - Emerging trends in workplace automation 33:05 - Navigating enterprise AI challenges 36:46 - Resources and next steps

###

Contact ⁠⁠howdy@blackfeatherai.com⁠⁠ for more information about anything covered in this episode.

Mentions in this episode: DeepSeek Status Page: ⁠https://status.deepseek.com/incidents/hcwm6sbrd74b DeepSeek Chat: ⁠https://chat.deepseek.com/sign_in Gen.AI Jumpstart Course: ⁠https://www.blackfeatherai.com/genai-jumpstart

###

CHAPTERS 00:00 - Introduction and episode context 02:00 - DeepSeek's impact on Wall Street ($13 trillion movement) 03:00 - Comparing DeepSeek to Claude and ChatGPT 04:00 - Limitations in multimodality and image processing 04:45 - Data privacy concerns and recent security breach 06:30 - Analysis of DeepSeek's terms and conditions 08:00 - Technical requirements and accessibility 10:10 - Comparison of tech companies' data policies 11:30 - Impact on GPU market and Nvidia stock 13:00 - Discussion of Trump's Stargate project 14:30 - Breaking up tech oligarchy in AI 15:45 - Future implications for AI development 17:00 - Importance of model selection and iteration 18:30 - Closing thoughts and future episode preview

###

Contact ⁠⁠⁠howdy@blackfeatherai.com⁠ ⁠⁠for more information about anything covered in this episode.

Mentions in this episode:

Dario’s 7-12 Year Predictions:

https://darioamodei.com/machines-of-loving-grace

Blackfeather.ai AI Content:

https://www.blackfeatherai.com/genai-jumpstart

Riccardo’s LinkedIn:

https://www.linkedin.com/in/rgrinover

Kaitlyn’s LinkedIn:

https://www.linkedin.com/in/kaitlynsapier/

###

CHAPTERS

00:00 - Introduction to powerful AI predictions for 2026

02:00 - Explaining powerful AI: "A country of geniuses in a data center"

03:30 - The five categories of major societal impact in the next 7-12 years

04:45 - Biology and physical health breakthroughs

08:15 - Personal reflection on chronic illness and healthcare

09:30 - Neuroscience and mental health improvements

12:00 - Economic development and poverty reduction

14:30 - Peace and governance considerations

15:30 - Work and meaning in an AI-enhanced future

18:45 - Five key limitations of powerful AI

21:00 - The role of quantum computing and data constraints

23:15 - Preparing for potential AI breakthroughs

25:30 - Current technology impact vs future AI benefits

27:45 - Hope for reducing inequality and suffering

29:30 - Closing thoughts on AI's positive potential

###

Contact ⁠⁠howdy@blackfeatherai.com ⁠⁠for more information about anything covered in this episode.

Mentions in this episode:

GenAI Jumpstart Online Course:

⁠https://www.blackfeatherai.com/genai-jumpstart⁠

Legendary Guest Dave Allie:

https://au.linkedin.com/in/daveallie

Visibuild (Construction Quality Management Software):

https://visibuild.com.au/

###

CHAPTERS:

00:00 - Opening thoughts on AI's long-term impact

00:28 - Introduction of Dave Allie and ViziBuild

01:22 - Discussion of AI hackathon project and sentiment analysis

04:08 - Explaining API vs UI differences for non-coders

07:01 - Breaking down AI buzzwords and real applications

08:26 - Understanding AI's non-deterministic nature

11:16 - Dave's controversial take on ChatGPT's net impact

12:10 - The Fast Food vs Treadmill analogy for AI usage

14:44 - Examples of healthy vs unhealthy AI use cases

17:04 - Discussion on maintaining humanity with AI integration

19:25 - The future of original thinking and AI diet monitoring

21:16 - Personal experiences with AI as an enhancement tool

24:07 - The protein shake analogy and proper AI usage

25:52 - Future of conscious AI tool development

26:26 - Current AI impact and future wishes

29:03 - AI automation for personal productivity

31:25 - Future of home robotics and automation

33:36 - Closing thoughts on documenting AI's evolution

###

Contact ⁠howdy@blackfeatherai.com⁠ for more information about anything covered in this episode.

Links mentioned in this episode:

GenAI Jumpstart Online Course:

https://www.blackfeatherai.com/genai-jumpstart

The ‘ARIA’ Test for AI Automation and Top 5 AI Models Currently for Professionals:

https://www.blackfeatherai.com/ai-info

AI Model Leaderboards:

https://huggingface.co/spaces/lmarena-ai/chatbot-arena-leaderboard

https://lifearchitect.ai/models

All-in-one AI model and agent platform, Simtheory: https://simtheory.ai/

This Day in AI Podcast:

https://open.spotify.com/show/6qk8KB3SzVw14vuKneLG8o#

###

CHAPTERS:

00:00 - Vision for AI agents as future workforce

00:45 - Introduction to 2024 AI recap episode

02:30 - Early 2024 model releases (Gemini 1.5 Pro, Claude 3, Llama 3)

05:00 - Recent AI developments (01 series, Sonnet 3.5, Llama 3.3)

07:30 - Overview of leading AI companies (OpenAI, Anthropic, Meta, Google)

09:30 - Multimodal model progress (Sora, Udio, Suno)

12:00 - Voice features and audio generation advances

14:30 - Introduction to agentic AI and autonomous agents

17:00 - Google's professional use cases study

18:30 - Introduction to ARIA test framework

21:00 - Core tasks and industry applications

24:00 - 2025 predictions for AI agent development

26:30 - Conference announcement and updates

###

Contact howdy@blackfeatherai.com for more information about anything covered in this episode.

Links mentioned in this episode:

Will Mulholland: https://linktr.ee/intelligentmarketer

GenAI Jumpstart Online Course: https://www.blackfeatherai.com/genai-jumpstart

All-in-one AI model and agent platform, Simtheory: https://simtheory.ai/

###

CHAPTERS:

00:00 - Opening thoughts on AI anxiety and job automation

01:21 - Introduction of Will Mulholland and his background

01:30 - Discussion of AI anxiety in professional roles

03:37 - Recent AI model updates (O1, Gemini 2, Claude Sonnet 3.5)

05:53 - Early stages of autonomous agents and computer control

11:23 - Tips for getting started with AI models

14:29 - Future of prompt engineering and communication skills

17:35 - Evolution of AI accessibility since 2015

20:12 - Discussion of AI adoption journey and model reliability

24:23 - Addressing user frustration and model experimentation

26:22 - Open source models and data privacy considerations

29:34 - Will's controversial opinions about AI adoption

33:27 - Practical tips for improving AI workflows

38:22 - Recording and transcription techniques for better prompts

42:19 - Tools and methods for managing AI context and data

46:03 - Closing thoughts on AI's positive impact

48:28 - Final message about practical AI implementation

###

Contact howdy@blackfeatherai.com for more information about anything covered in this episode.