HN user

_false

229 karma
Posts38
Comments48
View on HN
medium.com 8mo ago

It's Mainframes All the Way Down

_false
15pts3
arminbagrat.com 9mo ago

The Incentive Failure of Contemporary Art Market

_false
1pts1
ashvardanian.com 10mo ago

Stringzilla v4 Introduces 500 GigaCUPS Edit Distance on GPUs

_false
12pts0
news.ycombinator.com 10mo ago

Ask HN: What's your favourite software pattern for thinking through a problem?

_false
1pts2
news.ycombinator.com 1y ago

Ask HN: Any active COBOL devs here? What are you working on?

_false
245pts189
news.ycombinator.com 1y ago

Ask HN: How are you getting reliable code-gen performance out of LLMs?

_false
2pts1
news.ycombinator.com 2y ago

Ask HN: What's the largest LLM you can run on your MacBook?

_false
2pts0
arminbagrat.com 2y ago

Can AI partners make human ones pale in comparison?

_false
2pts0
github.com 2y ago

Tensor Puzzles

_false
148pts11
github.com 2y ago

Openlogprobs: Extract full next-token probabilities via language model APIs

_false
3pts0
news.ycombinator.com 2y ago

Cerebral.af is hiring a founding software engineer (London/remote)

_false
3pts0
news.ycombinator.com 2y ago

Ask HN: People selling both SaaS and on-prem, what's the price difference?

_false
8pts8
en.wikipedia.org 2y ago

Operation Acoustic Kitty

_false
2pts0
news.ycombinator.com 2y ago

Ask HN: Who are you following on Bluesky?

_false
2pts1
news.ycombinator.com 2y ago

Ask HN: Are you testing grammar in CI/CD of your blog?

_false
2pts2
github.com 2y ago

Tensor Puzzles

_false
1pts0
en.wikipedia.org 2y ago

Itô Calculus

_false
22pts3
news.ycombinator.com 2y ago

Ask HN: Any hackerhouses in London looking for new members?

_false
1pts0
news.ycombinator.com 3y ago

Ask HN: How do you effectively manage technical debt in fast-paced environments?

_false
5pts5
news.ycombinator.com 3y ago

Ask HN: People with “prompt engineer” in their title, what do you do?

_false
13pts8
en.wikipedia.org 3y ago

The Abortion: An Historical Romance 1966

_false
1pts0
news.ycombinator.com 3y ago

Ask HN: Who has deployed commercial features using GPT4?

_false
80pts47
news.ycombinator.com 3y ago

Ask HN: Why do companies buy corporate training products?

_false
4pts1
news.ycombinator.com 3y ago

Ask HN: Anyone here conducting independent academic research?

_false
3pts1
arminbagrat.com 3y ago

Simulating AGI Box Experiment with GPT4

_false
1pts0
arminbagrat.com 3y ago

Flamingoes, Bach, and Death

_false
1pts0
www.bellingcat.com 3y ago

Borderless Vigilantism: The Nativist US Militias Entering Mexico

_false
13pts11
news.ycombinator.com 3y ago

Ask HN: Do you find your job meaningful?

_false
5pts6
www.stanza.ink 3y ago

Show HN: Red Beans, a Poem Illustrated by Disco Diffusion

_false
5pts0
www.nature.com 3y ago

Resuscitation of Hamsters After Supercooling at Body Temperatures Below0°C(1954)

_false
3pts0

Love the decision to edit DOM directly. More LLM tools should carefully consider their training environments instead of treating LLMs like AI Gods.

Not because it's not a PL, but because:

This article doesn't use the name "Lisp" enough. The language with the best chance of lasting a long time is the one with the simplest syntax. That is Lisp...

I'm curious what subset of whistleblowing are they looking for:

National Security Disclaimer We do not accept any tips or material of any kind related to matters of national security.

Legal Violations Disclaimer Do not send any information or material that violates or breaches any contracts or legal obligations.

Oh, nevermind. It became confused and was unable to complete the task:

I noticed you mentioned that "MCP stands for model context protocol." My current understanding, based on the initial problem description and the articles I've been reviewing, is that MCP refers to "Managed Care Plan." This is important because the entire schema and extraction plan are built around "Managed Care Plans."

Session ID: fcd1edb8-7b3c-480e-a352-ed6528556a63

What's the process of adding sensors to the custom motherboard? Based on your watchface config it looks like you added accelerometer. I wonder what other sensors are easy to add. I'd love to have an hrm in mine

Here's a critical summary:

Key Structure Changes:

- Abandoning the "capped profit" model (which limited investor returns) in favor of traditional equity structure - Converting for-profit LLC to Public Benefit Corporation (PBC) - Nonprofit remains in control but also becomes a major shareholder

Reading Between the Lines:

1. Power Play: The "nonprofit control" messaging appears to be damage control following previous governance crises. Heavy emphasis on regulator involvement (CA/DE AGs) suggests this was likely not entirely voluntary.

2. Capital Structure Reality: They need "hundreds of billions to trillions" for compute. The capped-profit structure was clearly limiting their ability to raise capital at scale. This move enables unlimited upside for investors while maintaining the PR benefit of nonprofit oversight.

3. Governance Complexity: The "nonprofit controls PBC but is also major shareholder" structure creates interesting conflicts. Who controls the nonprofit? Who appoints its board? These details are conspicuously absent.

4. Competition Positioning: Multiple references to "democratic AI" vs "authoritarian AI" and "many great AGI companies" signal they're positioning against perceived centralized control (likely aimed at competitors).

Red Flags:

- Vague details about actual control mechanisms - No specifics on nonprofit board composition or appointment process - Heavy reliance on buzzwords ("democratic AI") without concrete governance details - Unclear what specific powers the nonprofit retains besides shareholding

This reads like a classic Silicon Valley power consolidation dressed up in altruistic language - enabling massive capital raising while maintaining insider control through a nonprofit structure whose own governance remains opaque.

Working through _Crafting Interpreters_ atm. Both an educational and enjoyable read. I find the author's ability to reason across programming languages as a skill to aspire to. It feels like a meta way to think of programming languages. As any language is an instantiation of a set of parameters, made through the design decisions.