Friday, June 19, 2026

1929 Bubble => 202x AI?

There is a (very educated) saying that "AI is the new electricity".

When electricity, cars, radio, airplanes ware "new" in 1920s, 
after euphoric "boom" came a tragic "bust" of 2029.

With current "AI euphoria" with hyper-investments and IPOs, 
what could be the outcomes? 

Here is one very informed opinion...

AI Frenzy Could Repeat Pre-Crash Wall Street 'Bubble' | Andrew Ross Sorkin - YouTube

In this discussion, Andrew Ross Sorkin draws parallels between the current frenzy around artificial intelligence and the market environment preceding the 1929 Wall Street crash (0:27-0:54).

Key takeaways from the conversation include:

  • Investment and Debt Concerns: Sorkin highlights that, similar to the 1920s, current investment is being driven by intense optimism and significant debt. He warns that the lack of transparency in how this infrastructure is being financed could mirror the catalysts of past financial crises (5:20-6:20).
  • The Generational Divide: Unlike past technological shifts, there is a growing, visible backlash against AI, particularly among young people who fear for their job security and the potential for increased wealth inequality (1:25-2:45, 14:00-15:25).
  • Impact on the 'Little Guy': Sorkin argues that a potential bubble burst would lead to a contraction of credit, making it harder for everyday individuals to secure mortgages or loans, demonstrating that the impact of a tech-sector crash extends far beyond Silicon Valley (8:07-9:19).
  • Democratic Risks: The conversation touches on the concern that tech wealth is increasingly buying political influence, fostering an oligarchy that could worsen societal polarization (15:40-16:35).
  • Future Outlook: Looking ahead, Sorkin suggests that the most significant challenge will be navigating the transition period for jobs and addressing the dignity of work in an increasingly automated world (21:05-22:10).


HTML select vs input datalist

 You don’t know HTML Lists – Frank M Taylor

<select name="languages">
<optgroup label="Germanic">
<option value="en">English</option>
</optgroup>
<optgroup label="Romance">
<option value="fr">French</option>
<option value="es">Spanish</option>
<option value="pt">Portuguese</option>
</optgroup>
<optgroup label="Celtic">
<option value="en">Irish</option>
<option value="cy">Welsh</option>
</optgroup>
</select>

<select name="languages" size="4" multiple>



<datalist id="languages">
<option>English</option>
<option>French</option>
<option>Spanish</option>
<option>Portuguese</option>
<option>Irish</option>
<option>Welsh</option>
<option>Hebrew</option>
<option>Arabic</option>
</datalist>
<input name="language" list="languages">



Thursday, June 18, 2026

Vercel Eve, AI Agents framework

 Eve - Vercel

Like Next.js for web apps, but for agents.
Markdown for instructions and skills,
TypeScript for tools.
Durable by default.


Define instructions and skills in markdown, tools in TypeScript, and deploy. The framework compiles the directory, wires up durable workflows, and connects channels.


my-agent/
├── package.json
└── agent/
    ├── agent.ts
    ├── instructions.md
    ├── tools/
    │   └── get_weather.ts
    ├── skills/
    │   └── plan_a_trip.md
    └── channels/
        └── slack.ts

  • instructions.md tells the agent who it is and how it should behave.
  • agent.ts chooses the model and configures runtime options.
  • tools/ holds typed functions the model can call.
  • skills/ holds longer procedures the model loads only when they are useful.
  • channels/ connect the agent to HTTP clients, Slack, Discord, and the other places people talk to it.

mini PaaS: Docker orchestration tools

K8s and Docker Desktop are not the only way to manage docker containers.

a single "brain" app orchestrating a bundle of off-the-shelf containers (Caddy, DBs, Auth) on a single server—is exactly how wildly popular tools like Dokku, CapRover, Coolify, and CasaOS work.




Docker powered mini-Heroku. The smallest PaaS implementation you've ever seen.

Shell + Go, MIT

By default, Dokku does not use or include any database. Instead, it uses an extensible plugin system to provision and manage the specific datastores your application requires.





CapRover is an extremely easy to use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications!

TS, Apache



An open-source & self-hostable alternative to Vercel, Heroku, Netlify and Railway for easily deploying websites, databases, web applications and 280+ one-click services to your own server.


PHP




CasaOS - A simple, easy-to-use, elegant open-source Personal Cloud system.

Go, Apache

...upgraded CasaOS to ZimaOS, the next-generation NAS OS ?



Wednesday, June 17, 2026

CAD tool: Onshape

what is "Onshape?"

Onshape | Product Development Platform

Onshape is a fully cloud-native, browser-based 3D CAD (Computer-Aided Design) and PDM (Product Data Management) platform. Often described as "Google Docs for engineering," it allows multiple users to design parts, assemblies, and drawings simultaneously from any web-connected device without needing to install software. [1, 2, 3, 4, 5]

Onshape Plans and Pricing

Onshape - Wikipedia

Onshape is a computer-aided design (CAD) software system, delivered over the Internet via a software as a service (SaaS) model (web app)

helper app:

Onshape Plus - Chrome Web Store

Make Onshape faster, cleaner, and easier to use.
Onshape Plus adds UI improvements, touch and pen enhancements, quick actions, and quality-of-life features for Onshape.


https://github.com/RileyDavidson-Evans/onshape-plus/blob/main/guides/AndroidTabletInstall.md


‎Onshape Plus App - App Store



SpaceX += Cursor - $60B

SpaceX announces $60 billion Cursor deal to boost AI coding

SpaceX (SPCX) confirmed on Tuesday that it will acquire Anysphere, the company behind the AI coding tool Cursor, for $60 billion.
In a filing, SpaceX confirmed the deal will be an all-stock transaction, with the company expecting the acquisition to close during the third quarter, pending regulatory approvals.
The agreement follows an option SpaceX secured in April of this year, which gave it the right to either pay roughly $10 billion for a partnership with Cursor or acquire the company for $60 billion later in the year.

AI interence HW: Cerebras, $63 Billion IPO

small compared to SpaceX, very large compared to other similar specialized companies

search Cerebras IPO

Cerebras Systems executed the largest semiconductor Initial Public Offering (IPO) in history, raising $5.55 billion. Pricing above the expected range at $185 per share, the dinner-plate-sized chipmaker achieved a fully diluted valuation exceeding $63 billion. [1, 2, 3, 4]

Cerebras' unprecedented market debut follows massive strategic deals, including a $20 billion capacity agreement with OpenAI and a deployment deal with Amazon Web Services. [1]

Cerebras founder and CEO Andrew Feldman discussing the company's journey to a $63 billion IPO and their mission to revolutionize AI computing.

Key takeaways:

  • Wafer-Scale Innovation: Cerebras differentiates itself by building massive chips (the size of a dinner plate) specifically for AI, offering 15x-20x faster inference speeds than traditional GPUs (1:36 - 3:45).
  • Overcoming the Chasm: The company survived a difficult period of being ahead of market demand by proving their technology in supercomputing centers and partnering with G42 (8:42 - 10:59).
  • Market Explosion: The recent surge in demand for AI, particularly for fast inference, led to massive growth, a $20 billion deal with OpenAI, and a partnership with AWS (1:45 - 2:38, 24:00 - 24:50).
  • Operational Culture: Feldman emphasizes the importance of remaining a "professional David" against tech giants and maintaining a fearless engineering culture despite scaling to over 800 employees (14:30 - 17:47).

Nvidia acquired Groq (competition)

Cerebras: Cerebras CS-3 vs. Groq LPU
The Cerebras CS-3 outperforms Groq’s LPU-based solution across almost all key metrics, delivering ~6x higher inference speeds on frontier LLMs, enabling more generation in the same amount of time, with higher accuracy and lower power consumption – at similar cost. With Cerebras, developers can build the fastest and most intelligent conversational AI, real-time code generation, instant reasoning, and agentic applications.

lists: most toxic and healthiest cities in the us

Most Polluted Cities | State of the Air | American Lung Association

Cleanest Cities | State of the Air | American Lung Association

States and Counties | State of the Air | American Lung Association

New Jersey | State of the Air | American Lung Association

 rank list of most toxic and healthiest cities in the us - Google Search

"Toxicity" is closely tied to the American Lung Association’s particle pollution and ozone reports, as well as historical environmental rankings by sources like Forbes. The most polluted and toxic metropolitan environments in the country generally include: [1, 2, 3, 4, 5]

  1. Los Angeles-Long Beach, CA
  2. Atlanta, GA
  3. Bakersfield, CA
  4. Houston, TX
  5. Phoenix-Mesa, AZ
  6. Detroit, MI
  7. Philadelphia, PA
  8. Fresno-Madera-Hanford, CA [1, 2, 3]
For a deeper dive into the exact statistics and criteria used to build these indices, you can check the full methodology on WalletHub or explore air quality metrics on the American Lung Association website.

The five most toxic cities in the United States"

  1. Los Angeles (8:04-9:39)
  2. Houston (6:22-8:03)
  3. Phoenix (4:08-6:21)
  4. Detroit (3:36-4:07)
  5. Philadelphia (1:58-3:35)

The five healthiest cities in the United States:

  1. Honolulu (12:59-14:00)
  2. Boston (12:00-12:58)
  3. Seattle (11:23-11:59)
  4. Portland (10:46-11:22)
  5. Minneapolis-St. Paul (9:44-10:45)