dpflan

This reminds me of this post from ~3 years ago: https://news.ycombinator.com/item?id=33847479

"Building A Virtual Machine inside ChatGPT"

- https://www.engraved.blog/building-a-virtual-machine-inside/

It's mentioned in the "Related Work" section too.

Diplo in Ibiza is pretty normal nowadays… /jk ;)

There is also the direction of influencing those in charge of creating laws and orders and ways to prevent society from collapsing. Law makers who give in to lobbying -- I mean some of these prices points are quite low: $XX,XXX to get someone to vote "yes" for a thing that impacts millions of constituents and earns the lobbying orders of magnitude more than the payout. That is excellent ROI.

Our incredible brains are easily high-jacked. Another concerning trend in global/societal mental health that stresses different parts of it (e.g. increased ER visits). If the entirety of humanity is a connected mind let's say, and more and more parts of it are being damaged by companies that capitalize on "flaws" in the human brain -- which means our shared mentality keeps weakening and can be exploited more and more. It's just so much easier now because there is a machine in your pocket full of endless ways to high-jack your mind and attention.

We live in really crazy/fascinating times, accelerating human problems at "internet scale".

Wordsworth wrote that “the child is the father of the man.”

————-

William Wordsworth 1770 – 1850

My heart leaps up when I behold

   A rainbow in the sky:

So was it when my life began;

So is it now I am a man;

So be it when I shall grow old,

   Or let me die!

The Child is father of the Man;

And I could wish my days to be

Bound each to each by natural piety.

Wes McKinney has a project for agent visibility: https://www.agentsview.io/

Generation is insanely fast, the other side is presentation, which can be slower and more controlled. Blasting the end-user with text walls is a UX problem now.

Try Cerebras. When I think about how speed of generation is another variable to tweak for "intelligence", it seems like this speed is best used for searching for solutions in a problem space and then validating and discarding and keeping what is best. Being intelligent at the Fable level, but what if the Fable level machine could think at 100x? What does that mean: perhaps it means more parallel "experiments" for solutions in the token/generation/hyper-dimensions of the latent space.

There is also: - xq for xml - yq for yaml

Bel-heir ?

Along similar lines, the economist John Kenneth Galbraith has a book on financial bubbles and irrational crowd mentalities in financial market over the centuries: A Short History of Financial Euphoria [1]. Short, approachable, and interesting.

[1] https://www.goodreads.com/en/book/show/270746.A_Short_Histor...

- https://www.rip-grep.com/

- https://www.rip-grep.com/microsoft

Do you have a "dot files" repo? It would contain things like this, config files for tmux, zsh, <other tools>, etc.

Reminded me of "Garfield Minus Garfield" - https://garfieldminusgarfield.net/

"""

Garfield Minus Garfield is a site dedicated to removing Garfield from the Garfield comic strips in order to reveal the existential angst of a certain young Mr. Jon Arbuckle. It is a journey deep into the mind of an isolated young everyman as he fights a losing battle against loneliness and depression in a quiet American suburb.

"""

“The world is too much with us” - W. Wordsworth

The world is too much with us; late and soon, Getting and spending, we lay waste our powers;— Little we see in Nature that is ours; We have given our hearts away, a sordid boon! This Sea that bares her bosom to the moon; The winds that will be howling at all hours, And are up-gathered now like sleeping flowers; For this, for everything, we are out of tune; It moves us not. Great God! I’d rather be A Pagan suckled in a creed outworn; So might I, standing on this pleasant lea, Have glimpses that would make me less forlorn; Have sight of Proteus rising from the sea; Or hear old Triton blow his wreathèd horn.

https://www.poetryfoundation.org/poems/45564/the-world-is-to...

Yes, probably a good one to Pump and Dump, Pump and Gump, Gump and Dump.

Sometimes you don't know what needs to be built until you build it. These end-to-end prototypes are how to enhance your understanding and develop deeper intuition about possibilities, where risks lie, etc.

“””

Much of my career has been spent in teams at companies with products that are undergoing the transition from "hip app built by scrappy team" to "profitable, reliable software" and it is painful. Going from something where you have 5 people who know all the ins and outs and can fix serious bugs or ship features in a few days to something that has easy clean boundaries to scale to 100 engineers of a wide range of familiarities with the tech, the problem domain, skill levels, and opinions is just really hard. I am not convinced yet that AI will solve the problem, and I am also unsure it doesn't risk making it worse (at least in the short term)

“””

This perspective is crucial. Scale is the great equalizer / demoralizer, scale of the org and scale of the systems. Systems become complex quickly, and verifiability of correctness and function becomes harder. Companies that built from day with AI and have AI influencing them as they scale, where does complexity begin to run up against the limitations of AI and cause regression? Or if all goes well, amplification?

The more verifiable the domain the better suited. We see similar reports of benefits from advanced mathematics research from Terrence Tao, granted some reports seem to amount to very few knew some data existed that was relevant to the proof, but the LLM had it in its training corpus. Still, verifiably correct domains are well-suited.

So the concept formal verification is as relevant as ever, and when building interconnected programs the complexity rises and verifiability becomes more difficult.

Do you mind adding more color and details to your closing thought? I’m curious if you know if projects that exist to help with this.

I found this to be an interesting analysis:

“””

What has changed is where the durable value actually lives. It is increasingly useful to separate the stack into a few layers:

- The computing, IO, and compiler kernel libraries based on CUDA, compiler frameworks like MLIR or JAX’s XLA, and of course Apache Arrow.

-The database systems and caching layers, ideally connected with ADBC’s zero-serialization connnectivity.

- The language bindings and orchestration layers that expose those capabilities.

- The application or agent interfaces that sit on top.

When viewed this way, most of the long term value clearly resides in the first two layers (compute and data access), not the last two.

“””

"""

Claude Code with Opus 4.5 is a watershed moment, moving software creation from an artisanal, craftsman activity to a true industrial process.

It’s the Gutenberg press. The sewing machine. The photo camera.

"""

- Sergey Karayev

> https://x.com/sergeykarayev/status/2007899893483045321

Fair enough! I do like how others are framing this is as "write less code" -- if Rue makes one think more and more about the code that finally makes it to the production, that can be a real win.

Just pointing out here that "rue" is used to express "to regret", emphatically. Perhaps it is not the best name for a programming language.

With "servant leadership" in its current form being attributed to Greenleaf, here is the "source of truth" on servant leadership: https://greenleaf.org/what-is-servant-leadership/

"Growth" of those being led is a key concept it seems, which I would think is really only possible when the leader doesn't do everything by themselves as a die-hard servant, but utilizes the "leadership" part to help subordinates learn to lead themselves.

Granted this realm of ideas can be a gray-area, but it seems like servant leadership as presented by the author here does not incorporate the concept of growing those that they lead -- as indicated by the fact they have self-invented a new "buzzword" which actually seems to be involve the behaviors as laid out by servant leadership -- am I missing something?

Essentially, what information are they privy to that public is not? What asymmetry exists (timing, un-public information)? Is there any way for the public to be nearly as informed? What are they trading on? Upcoming funding changes (more money here -> buy, less money there --> sell)? COVID impact stands out.

Agreed, coding is one. What else?

Where is AI actually selling and doing well? What's a good resource for these numbers? What are the smaller scale use-cases where AI is selling well?

I am generally curious, because LLMs, VLMs, generative AI, advances are proving useful, but the societal impact scale and at this the desired rate is not revealing itself.

Is this being used internally at Google? What's the "dog-fooding" situation and is it leading to productivity enhancements?

This def needs skins next: https://skins.webamp.org/