Tuesday, June 09, 2026

AI: Anthropic Claude Fable 5 & Mythos 5

 Claude Fable 5 and Claude Mythos 5 \ Anthropic


"...launching Claude Fable 5: a Mythos-class1 model that we’ve made safe for general use.

Fable 5’s capabilities exceed those of any model we’ve ever made generally available. It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research, and many other areas. The longer and more complex the task, the larger Fable 5’s lead over other models."

Amazon AI enabled warehouse robots

Amazon unveils latest warehouse robot as tech giants do AI layoffs


Amazon has unveiled its latest warehouse robot that can take commands in conversational language, underscoring how AI-powered automation


401K => AI IPOs (SpaceX, Anthropic, OpenAI)

 Your 401K Is Their Exit Strategy - YouTube

This video discusses concerns that retirement funds (401ks) are being positioned as exit liquidity for major AI-related companies. Key takeaways include:

  • Forced Investment via Index Changes: The NASDAQ and other index providers have implemented new "fast entry" rules (0:02:00-0:02:25, 0:05:05-0:06:40), lowering waiting periods and float requirements. This forces passive investment funds to automatically purchase shares of upcoming mega-IPOs like SpaceX, OpenAI, and Anthropic.
  • The AI Earnings Bubble: The video argues that the current AI boom is an "earnings bubble" rather than just a valuation bubble (0:20:25-0:21:25). It highlights an accounting cycle where big tech companies invest in AI startups, which then use that capital to pay for computing services from those same big tech companies, artificially inflating reported profits (0:12:40-0:17:45).
  • Macroeconomic Pressure: Rising geopolitical tensions and potential oil price spikes (impacting Exxon Mobil projections) threaten to increase interest rates, which would raise borrowing costs and potentially collapse the "circular" funding model supporting current AI valuations (0:26:15-0:29:30).
  • Historical Context: Similar to the railroad and fiber-optic booms, the video suggests that while the underlying technology is revolutionary, the initial investors often face significant losses before the industry matures and becomes profitable for later investors (0:30:15-0:32:00).
  • Actionable Advice: The creator emphasizes understanding what your specific index funds own to avoid being caught in unfavorable entry points during these massive IPOs (0:32:05-0:32:45).










related, even more details of circular deals


DO NOT BUY STOCKS! (Michael Burry’s Final Warning) - YouTube

This video examines allegations made by Michael Burry regarding complex financial structures involving Nvidia, X.AI, and Apollo Global Management:


  • Algegation: Nvidia allegedly used a shell company (Veiler) to sell $5.4 billion in GPUs to X.AI, moving the assets off-balance sheet to inflate revenue reports (1:00-2:35).
  • Funding Structure: Apollo reportedly packaged $3.5 billion in debt for this deal into securities sold to Athene, an insurance company, potentially exposing retail investors and retirees to high-risk AI data center financing (3:12-4:07).
  • Expert Rebuttal: An auditor notes that while the transaction appears technically legal, Nvidia's $1.9 billion investment into the same middleman entity may lead to overstated revenue, as it essentially functions as self-financing (8:38-9:53).
  • Risk Assessment: The main risk is that AI hardware depreciates rapidly (like an iPhone), and if X.AI stops renting these chips, the underlying value of the assets backing the insurance products could decline, though a total loss is viewed as unlikely (10:10-14:54).

SpaceX and Growth (02:45 - 07:26)

  • Why go public? SpaceX is entering a massive capital-intensive growth phase to deploy over 100,000 Starlink V3 satellites, which are 10-20 times more capable than previous versions.
  • Energy Vision: Elon Musk emphasizes the potential to harness vast amounts of energy in space, noting that current human civilization uses less than a trillionth of the Sun's output.
...

The reality is that investments are VERY large and big revenue is projected, not current... 
Becoming NASA-style society level investment... maybe some some "secret design/conspiracy?"


RoundAbouts vs Traffic-lights

a bit surprising stats... 

Are Roundabouts Actually Better Than Traffic Lights? - YouTube

This video tests whether roundabouts are superior to traffic lights by comparing two 10-mile routes in Carmel, Indiana. The experiment evaluates time efficiency, fuel consumption, safety, and pedestrian accessibility.

Key Findings & Statistics

  • Travel Time: The roundabout route was significantly faster, taking approximately 34% less time to complete than the traffic light route.
  • Consistency: Roundabouts provide a more stable travel experience. The difference in travel time between daytime and nighttime was negligible (only 2 seconds), whereas the traffic light route fluctuated by about 4 minutes based on signal timing and traffic volume.
  • Fuel Efficiency: The roundabout route achieved 3.2 MPG better fuel economy due to reduced idling and stop-and-go driving. Carmel estimates savings of 24,000 gallons of gas per year for each converted intersection.
  • Safety: Roundabouts drastically reduce conflict points. Data indicates they can reduce injury crashes by approximately 75% and fatalities by up to 90% by shifting the nature of accidents from high-speed, sharp-angle collisions to slower-speed sideswipes.

Key Conclusions

  • Driving Experience: Roundabouts force greater driver engagement, which paradoxically leads to safer road conditions






Monday, June 08, 2026

Apple WWDC 2026

WWDC 2026 Impressions: Yeah, That's About Right - YouTube

WWDC 2026: Everything Revealed in 13 Minutes - YouTube

Apple WWDC 2026 keynote in 25 minutes - YouTube

The WWDC 2026 keynote introduced major updates across Apple's software ecosystem, anchored by the introduction of Apple Intelligence and Siri AI. Here are the key points:

Operating System Updates:

  • macOS Golden Gate: Features an updated Liquid Glass UI with a global slider for opacity adjustment, more uniform toolbars, and refined sidebar transparency (0:00 - 1:28).
  • System Performance: Across iOS and iPadOS, system animations are smoother, app launch speeds have improved by up to 30%, and photo loading and file transfers (via AirDrop/external drives) are significantly faster (1:28 - 2:11).
  • iPhone 11 CPU Scheduler: System-wide responsiveness improvements are now extended to devices as old as the iPhone 11 (2:11 - 2:55).

Apple Intelligence & Siri AI:

  • Siri AI: A profoundly more capable assistant that is more conversational, context-aware, and can perform cross-app actions (e.g., planning a dinner party or writing emails) (9:22 - 16:15).
  • Visual Intelligence: Allows users to point their iPhone camera or use specific shortcuts on macOS/visionOS to get information about their surroundings, such as nutritional data or schedule management (16:36 - 17:46).
  • Writing Tools: Integrated system-wide features that offer proofreading, tone adjustment, and draft generation based on personal communication styles (17:46 - 18:44).

Privacy and Safety:

  • Child Safety: New Ask To Browse and Ask To Approve features give parents more control over web and app access, along with expanded Communication Safety that detects violent or graphic content (5:10 - 6:40).
  • Data Privacy: Features emphasize on-device processing and Private Cloud Compute to ensure data remains secure and inaccessible to Apple (9:04 - 9:22).

Other Notable Announcements:

  • Health: New support for menopause and perimenopause tracking in the Health app (4:19).
  • Photos: Powerful new AI tools like Clean Up (distraction removal), Spatial Reframing, and Image Playground for creative generation (21:41 - 23:50).
  • Availability: Developer betas are available today, with a public beta coming next month and a full release this fall (24:56 - 25:13).

SpaceX AI EWS for Google

so called "EWS: Elon's Web Services" giga-deals

Google will pay SpaceX $920M per month for compute | TechCrunch

SpaceX has lined up another compute deal ahead of its historic IPO, this time with Google. The company announced the deal in a regulatory filing on Friday.

Under the terms of the deal, Google will pay SpaceX $920 million per month from October 2026 through June 2029 for access to “approximately 110,000 NVIDIA GPUs, CPUs, memory, and other related components.”
 
“Google Cloud and SpaceX are long-time partners,” Google said in a statement. “This is a short-term, timely agreement to ensure we have bridge capacity to meet surging customer demand for our agent platform, Gemini Enterprise, which has been even higher than we expected.”

... parent company Alphabet is on a spending spree. Alphabet has already committed to more than $180 billion in capital expenditures this year and has said it expects that to “significantly increase” in 2027... 


Google to pay SpaceX $920 million a month for xAI compute capacity

business: Kodak sad story

what will be "Kodak-like" AI affected companies? 

Google fits almost exact same patten: "invented" much of modern AI but didn't use
until being forced by competition... Microsoft, Salesforce, leveraging but not really driving new solutions, incremental vs exponential improvements. Market and business can be brutal even on best of companies... 


Kodak - Wikipedia

digital reality... 

How Just One Camera Destroyed Kodak Forever - YouTube

The Rise and Fall of Eastman Kodak

This documentary explores the spectacular collapse of Eastman Kodak, once a global titan that dominated the photography industry for most of the 20th century.

Peak Dominance

  • In 1976, Kodak controlled 90% of the film market and 85% of the camera market in the United States.
  • The company was a Dow Jones Industrial Average component for 74 consecutive years.
  • At its peak, it employed 145,000 people globally, with 60,000 workers concentrated in its base city of Rochester, New York.
  • The company enjoyed a massive 70% gross margin on film products, which created a powerful disincentive to innovate away from their core revenue stream.

The Missed Future

  • In 1975, Kodak engineer Steven Sasson invented the world's first digital camera. Despite filing a patent for the technology, management famously dismissed the invention as "cute" and prioritized protecting their lucrative film business.
  • Internal reports as early as 1979 and 1981 correctly predicted that digital photography would eventually render film obsolete, but these warnings were largely ignored by leadership.

Strategic Missteps and Bankruptcy

  • Kodak attempted to diversify into pharmaceuticals with the $5.1 billion acquisition of Sterling Drug, which resulted in a massive loss of value.
  • The company suffered a major legal blow in 1991 when it lost a patent battle against Polaroid, forcing it to recall millions of instant cameras.
  • By the time Kodak pivoted to digital cameras, they were decades behind competitors. Even when their "EasyShare" cameras became best-sellers, the company lost money on each unit sold.
  • In 2012, Kodak filed for Chapter 11 bankruptcy, causing thousands of retirees to lose their healthcare benefits and leading to the demolition of historic manufacturing plants in Rochester.

The Aftermath

  • The company famously sold its groundbreaking OLED patent portfolio for $100 million in 2009—a technology now powering nearly every modern smartphone and television screen worth billions annually.
  • While Fujifilm successfully navigated the digital transition by pivoting into cosmetics and healthcare, Kodak's rigid adherence to its original business model ultimately led to its historic industrial decline.

Sunday, June 07, 2026

AI Busyness Singularity: Pseudo vs Slow productivity

excellent podcast episode!

How Do I Become AI-Proof? - YouTube by Cal Newport + 7 Best Ideas About The Deep Life

In this episode of Deep Questions, Cal Newport discusses the threat that AI poses to knowledge work, arguing that it may make jobs more miserable rather than just automating them away. Here are the key takeaways:

The "Busyness Singularity" (0:00 - 11:18):

  • Pseudo-Productivity: For decades, knowledge work has relied on "visible activity" as a proxy for useful effort.
  • The Impact of Technology: The introduction of digital tools (email, Slack, mobile) only accelerated this, leading to a state of constant, frantic busyness.
  • The AI Acceleration: AI tools (LLMs) are currently being used primarily to automate these "pseudo-productive" tasks—like writing emails, summarizing reports, and creating slide decks. By making these tasks essentially free, AI is pushing the workplace toward a "busyness singularity," where employees perform a performative dash of digital busywork that lacks real value.

Five Ways to Escape the Trap (14:14 - 22:42):

  1. Plan Weekly (14:34): Protect time on your calendar for high-value tasks, rather than just reacting to the immediate demands of the day.
  2. Maintain a Portfolio (15:49): Keep a documented record of your actual, value-producing accomplishments to show your worth, rather than relying on visible busyness.
  3. Avoid What AI Can Do (17:31): Identify tasks that an AI can easily perform (e.g., basic summaries or automated responses) and shift your focus toward work that requires your unique skills and human perspective.
  4. Pursue Upskill Projects (19:32): Dedicate time to learning rare and valuable skills that are difficult for AI to replicate, making yourself more valuable.
  5. Write Well (20:38): Prioritize clear, concise, and well-crafted writing. In a world of AI-generated content, human-authored, high-quality communication stands out.

Additional Insights:

  • The Sacredness of Speech (29:03 - 33:00): Cal reflects on his recent newsletter, arguing that speech is a core component of the human experience and there is an ethical tension in treating AI-generated text as equivalent to human expression.
  • Slow Productivity for Managers (33:35 - 37:26): To foster a better team environment, Cal suggests making workloads transparent, holding "docket-clearing" meetings, and establishing specific office hours.

Slow Productivity: The Lost Art of Accomplishment Without Burnout: Newport, Cal: 9780593544853: Amazon.com: Books


Why Isn’t AI Taking Our Jobs? - Cal Newport



TypeScript Tips

 AllThingsSmitty/typescript-tips-everyone-should-know: ✅ A curated collection of practical TypeScript patterns that improve safety, readability, maintainability, and developer experience. 🧠

  1. Prefer unknown Over any
  2. Let Type Inference Do the Work
  3. Prefer satisfies Over as
  4. Derive Types From Values
  5. Model Impossible States With Discriminated Unions
  6. Use Exhaustive Checks With never
  7. Use as const for Constants
  8. Use Type Predicates
  9. Build Types From Existing Types
  10. Validate External Data at Runtime
  11. Avoid enum in Most Cases
  12. Prefer Inferable Generics
  13. Enable Strict Compiler Options
  14. Learn Template Literal Types
  15. Type Safety ≠ Runtime Safety

China: reality and propaganda

Can opposing things be both true at the same time?
That is a "dialectical" situation.

China, as a large and controversial country, similar to US, 
has "multitudes" of both oppressive and productive government.

But much of this is not visible...

 "China Is 20 Years AHEAD Of Us" - What Robert Pape Saw In China Will TERRIFY Americans - YouTube

In this episode, Patrick Bet-David shares an experience where he rejected a large, suspicious financial offer from a Chinese entity, highlighting his refusal to be compromised. Guest Robert Pape discusses his recent trip to China, where he observed that the country is significantly advancing its infrastructure and technology by integrating AI into entire cities, such as Wuhan, Shenzhen, and Hangzhou.
Pape argues that China is arguably 10–20 years ahead in urban modernization and industrial efficiency, contrasting this with a perceived lack of urgency and progress in the United States. The conversation also touches on the need for more transparent investigations into the origins of COVID-19, with Pape expressing frustration that the U.S. has not conducted a study comparable to the thorough investigation of the intelligence failures following Pearl Harbor. Ultimately, both speakers emphasize the need for the United States to stop merely talking and to take decisive action to maintain its competitive edge.



Saturday, June 06, 2026

AI Music: Suno $5.4B

this AI train will not stop... 

Suno raises $400M Series D at $5.4 billion valuation

Suno, the AI music-generation startup, raised more than $400 million in a Series D funding round at a $5.4 billion post-money valuation, the company said on Wednesday. The round was led by Bond Capital, alongside IVP, Forerunner, Union Square Ventures, Alkeon, and Quiet. Existing investors Matrix, Lightspeed, Menlo Ventures, and Schroders Capital also participated.

examples: lyrics by Gemini, music by Suno.ai












lectures: AI & Data Analytics @Harvard

 Post | LinkedIn

-No tuition fees. -No application. -No gatekeeping.

Harvard University just released high-quality lectures on AI & Data Analytics, and anyone can access them.

💎If you're serious about AI and Data in 2026, start here:

➡️ Artificial Intelligence Fundamentals

1.CS50x 2025 – Artificial Intelligence Lecture

Artificial Intelligence - CS50x 2026

LLMs, neural networks, search algorithms, and real-world AI applications.

2.CS50's Introduction to Artificial Intelligence with Python

Build AI systems using Python.
CS50's Introduction to Artificial Intelligence with Python | Harvard University

3. Machine Learning and AI with Python
Machine Learning and AI with Python | Harvard University

4: Using Python for Research
Using Python for Research | Harvard University

➡️ Prompt Engineering Mastery

5. Prompt Engineering

Real techniques for improving outputs from any LLM.
The Science and Implications of Generative AI - Class 4

6. CS50 Extension – AI / Prompt Engineering

Advanced prompt design and AI workflows.
Week 10 - CS50

➡️ Build Production-Ready AI Systems

7. Beyond Chatbots: System Prompts, RAG

The Science and Implications of Generative AI - Class 5

➡️ Future of AI

8. LLMs and the End of Programming

Large Language Models and The End of Programming - CS50 Tech Talk with Dr. Matt Welsh - YouTube

💎 Recommended Order for Becoming a Data Analyst (2026)

1. CS50: Introduction to Computer Science:https://lnkd.in/gqpVmBVi?

2. CS50: Introduction to Python: https://lnkd.in/gBW9kC65

3. CS50: Introduction to SQL: https://lnkd.in/gWB7G97W

4. Statistics and R: https://lnkd.in/gyj6rh6i

Data Science: Probability: https://lnkd.in/g-m8bzHY

5. Data Science: Wrangling: https://lnkd.in/gQ6RbZPF

6. Data Science: Visualisation: https://lnkd.in/gZyqbFuH

7. Data Science: Linear Regression: https://lnkd.in/gyak_z9p

8. Data Science: Machine Learning:https://lnkd.in/ghzRgJMZ