CHATGPT NOTES: The Most INSANE AI News This Week – Julian Goldie
Below is a condensed yet thorough summary and analysis of the transcript, organized into the requested sections with approximate time stamps, bullet-point notes, key takeaways, and a step-by-step execution plan. Use this as a “cheat sheet” to quickly absorb the video’s main ideas and put them into action.
1. Transcript Summaries & Time Stamps
Condensed Overview
- (0:00–0:16): Introduction to the week’s “insane” AI news.
- (0:16–2:30): OpenAI updates, including the release of new “O3 Mini” models and features like “Search + Reason.” Discussion of performance, speed, and coding examples.
- (2:30–3:29): Introduction to “Deep Research” mode on ChatGPT’s $200 Pro plan and its capabilities.
- (3:29–5:06): Google’s new Gemini 2.0 models (especially “Flash Thinking with Apps”) and the ability to build apps and analyze data for free.
- (5:06–6:10): Real-world examples: building a self-playing Snake game, analyzing Google Search Console data, turning YouTube videos into blog posts.
- (6:10–7:41): Mist AI’s updated chatbot (“LeChe”) that offers lightning-fast responses (12× faster than GPT-4), free API, local deployment options, and integrations.
- (7:41–9:28): Ongoing controversies: DeepSeek R1 is powerful but facing bans in multiple countries. Illustrates the rapid pace of AI development and adoption.
- (9:28–11:00): Other major AI happenings: Anthropic’s jailbreak challenge, new “pabs” features for pet videos and blending images with videos, Topaz Project StarRight for restoring old videos, GitHub Copilot’s new “Agent mode,” and X’s “Grock” for AI image editing.
- (11:00–13:10): AI’s accelerating evolution—new features weekly, major leaps in capabilities, real-world shifts in business, coding, content creation, and more.
- (13:10–13:48): Wrap-up and calls to action:
- AI Profit Boardroom for scaling businesses.
- Free SEO strategy session.
- Weekly AI news and tutorials to keep up with the rapid developments.
Detailed Notes (With Additional Time Stamps & Quotes)
(0:04) – “This week was mind-blowing in the world of AI”
- Sets the tone: rapid-fire developments, intense competition between OpenAI and Google.
(0:27–0:35) – OpenAI shipping more new features in the last 2 weeks than “pretty much all of 2024.”
- Emphasizes how quickly features are being pushed out.
(0:38–0:58) – O3 Mini model highlights:
- Faster math, science, coding solutions.
- Free chatGPT users can access by clicking “Reason” button.
- Combine with “Search” for web-based knowledge and problem-solving.
(1:14–1:30) – Coding test with O3 Mini vs. O3 Mini High:
- O3 Mini is fast, generating a complete website in “just 4 seconds.”
- O3 Mini High took 17 seconds but with “not that different” results.
(1:45–2:27) – Deeper coding tests: building a Space Invader game.
- Results from O3 Mini and O3 Mini High were glitchy.
- DeepSeek R1’s results were significantly better in the same test.
(2:30–3:29) – Introduction to “Deep Research”:
- $200 Pro Plan only, 3 research reports/day limit.
- AI can read sources, create a 10,000-word report, provide comparison charts, direct source links.
(3:29–4:28) – Google’s Gemini 2.0:
- “Flash Thinking with Apps” model: free to use.
- Interacts with the entire Google ecosystem (e.g., analyzing YouTube content in seconds).
(4:28–5:06) – Real-time screen watching for analytics feedback.
- Potential for instantly improving websites, analyzing data.
(5:06–6:10) – Examples of using Google’s AI studio:
- Self-playing Snake game in seconds with no coding required.
- Detailed Google Search Console data analysis and recommendations.
- YouTube to blog post conversion (1,000 words, structured) in minutes.
(6:10–7:41) – Mist AI’s “LeChe” chatbot:
- “Insanely fast” – up to 1,000 tokens/sec.
- Free version nearly as powerful as the paid model.
- API integration for Visual Studio Code, local usage, or hooking into automation tools like Make.com.
(7:41–9:28) – DeepSeek R1’s powerful capabilities trigger bans:
- Australia, Italy, Taiwan, NASA, and the U.S. Navy restricting usage.
- Model became one of the most downloaded apps worldwide.
(9:28–11:00) – Additional weekly AI developments:
- Anthropic’s jailbreak challenge with prize money.
- Pabs app updates: “AI video from pet images” and mixing images into real videos.
- Topaz Project StarRight for restoring old, low-quality videos.
- GitHub Copilot’s “Agent mode” that can self-debug.
- X’s “Grock” for in-post image editing.
- “The Beatles just won a Grammy for an AI-assisted song.” (10:19–10:25)
(11:00–13:10) – AI’s breakneck speed:
- “AI isn’t slowing down, it’s speeding up.”
- Tools once considered cutting-edge become outdated quickly.
- Google is giving away advanced AI features for free, removing barriers to entry.
(13:10–13:48) – Conclusion and CTAs from Julian Goldie:
- AI Profit Boardroom (learn to scale, save on automation).
- Free SEO strategy session.
- Weekly AI news updates and tutorials.
Examples & Illustrations
- (1:18–1:30): O3 Mini building a webpage in 4 seconds.
- (1:45–2:03): Attempting a Space Invaders game—reveals AI’s coding limitations.
- (2:57–3:29): Deep Research building a “10,000-word research report” with annotated sources.
- (5:25–5:36): Self-playing Snake game demonstration from Google’s AI.
- (5:46–6:01): Analysis of 19,400 Google Search Console clicks with recommended improvements.
- (6:19–6:28): YouTube analysis turned into a structured blog post.
- (7:06–7:10): Mist AI generating a functioning “cute Kawaii style” calculator instantly.
- (7:16–7:21): Generating a “cat eating a banana” image that looks convincing.
- (10:22–10:25): Beatles using AI to enhance John Lennon’s vocals.
2. Key Takeaways
- Rapid Innovation in AI Tools
- New capabilities (search + reason, advanced coding, deep research) are rolling out weekly.
- Relevance: Staying up-to-date can give you a competitive edge.
- Deep Research Is a Game-Changer (But Pricey)
- The $200/month plan unlocks advanced features that do days of research in minutes.
- Immediate Application: If you need in-depth analysis (e.g., academic, market, or competitor research), this could be an enormous time-saver.
- Free Tools Rival (and Sometimes Surpass) Paid Options
- Google’s Gemini 2.0, Mist AI, and some open-source models can compete with expensive platforms.
- Immediate Application: For small businesses or individuals, explore these free solutions to jump-start automation or app-building.
- Speed, Accessibility, and Bans
- Some AI models (DeepSeek R1) are so powerful that governments are restricting them.
- Relevance: The regulatory landscape is evolving quickly, which could affect usage policies.
- Ecosystem Integration Is Key
- Google’s AI suite integrates with YouTube, Analytics, and more. GitHub Copilot integrates self-debugging.
- Immediate Application: Focus on platforms that sync with your existing workflows—saves time and boosts productivity.
3. Analysis & Recommendations
Critical Analysis
- Strengths:
- Speed and flexibility: Tools like Mist AI deliver near-instant results.
- Depth of features: Deep Research offers comprehensive, structured outputs.
- Ecosystem synergy: Google’s Gemini 2.0 integrates across Google’s platforms, lowering the barrier to entry.
- Weaknesses:
- Reliability: Some coding attempts are glitchy (e.g., Space Invaders example).
- Cost: Deep Research’s $200/month plan is steep for many users.
- Regulatory Risk: Tools like DeepSeek R1 face bans—future usage might be unstable or subject to restrictions.
- Potential Gaps:
- Real-time updates vs. older knowledge bases still a challenge.
- Large, complex projects may require partial human oversight for code verification, creative direction, etc.
Recommendations for Improvement
- Hybrid Approach: Combine free or mid-tier models for routine tasks, and reserve high-cost solutions like Deep Research for critical deep dives.
- Thorough Testing & Validation: Especially in coding or data analysis, always check AI-generated outputs before deployment.
- Stay Informed on Regulations: Keep an eye on usage policies. If you rely on a banned or restricted model, have a backup or alternative ready.
(Optional) Comparison to Other Material
- Relation to Existing Experts: Tools like Anthropic’s Claude are also pushing boundaries in conversation and language tasks. Open-source large language models (e.g., LLaMA-based) are similarly bridging the gap in performance.
- Complement vs. Challenge: Many of these tools complement each other with specialized features; no single model is dominating all domains.
4. Execution Plan
Step-by-Step Implementation
- Identify Your Most Frequent Tasks
- Daily: Check your routine tasks—coding assistance, content creation, research, etc.
- Why: Matching the right AI tool to the right task saves time immediately.
- Select the Appropriate AI Solutions
- For in-depth research: Consider upgrading to OpenAI’s Pro Plan with “Deep Research” if budget allows.
- For fast, cost-free solutions: Explore Mist AI, Google’s Gemini 2.0, or open-source local models.
- Test & Validate Outputs
- Weekly: Conduct small tests (e.g., a quick coding project, a short blog post) to see if the AI meets quality standards.
- Maintain a checklist of quality criteria (functionality, correctness, style, brand voice).
- Automate & Scale
- Integrate AI into your workflow—hook it to project management software, use APIs for automation in content creation, or set up daily Google Analytics reports.
- Weekly/Monthly: Evaluate performance improvements (time saved, increased output quality).
- Monitor Regulatory Changes
- Monthly: Stay updated on policy developments around powerful models (e.g., DeepSeek R1).
- Prepare alternative solutions or revert to less-regulated models if needed.
Resources & Tools
- Google AI Studio for Gemini 2.0 (free).
- Mist AI chatbot at chat.m.ai (free or $15/month Pro).
- Deep Research (OpenAI $200/month plan).
- Automation: Make.com (formerly Integromat), Zapier, or direct API for coding tasks.
- GitHub Copilot for advanced coding assistance (Agent mode).
Timeline & Milestones
- Week 1: Choose 1–2 tasks to offload to AI. Perform initial tests with free solutions.
- Week 2: Evaluate results; refine prompts and integrate one AI tool into daily routine.
- Month 1: Consider investing in premium features (Deep Research) if ROI is proven.
- Month 2: Set up automation pipelines; measure productivity gains and cost savings.
5. Learning Acceleration Tips
Fast-Track Insights (“Cheat Sheet”)
- Prompt Engineering Basics: Use clear, direct prompts (include context, desired format).
- Model Selection: Identify which tasks need advanced features (coding vs. quick Q&A).
- Validation: Always double-check AI-generated outputs for accuracy.
Practice & Exercises
- AI Prompt Challenge: Try building a small web app (like the Snake game) with both Mist AI and Google’s Gemini. Compare ease and quality.
- Content Repurposing: Take a short video you’ve created, feed it into Gemini or Mist AI, and generate a blog post or social media captions.
- Data Analysis Drill: Upload your own analytics data (Google Search Console or a spreadsheet) to see if AI can identify patterns or recommendations.
Checklists for Comprehension
- Understood the difference between free and premium AI features?
- Tested at least one coding scenario with an AI model?
- Experimented with AI’s data-analysis capabilities?
- Compared multiple tools for speed, accuracy, or user-friendliness?
6. Response Formatting Instructions
- Bold Key Terms: Important models, features, or steps are in bold.
- Clear Headings & Bullets: To facilitate quick scanning.
- Chronological Flow: Matches the video transcript’s progression while grouping similar topics together.
- Concise but Complete: No fluff—focus on the essential points and action items.
Final Note
AI is evolving at breakneck speed, meaning what’s top-tier today might get outpaced next week. Stay agile, continually test new features, and keep refining your approach. This guide provides a structured roadmap for harnessing the power of the latest AI tools—without getting overwhelmed by the nonstop updates.