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dakial1

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The comments here are my own and do not reflect the opinions of my employer, and vice-versa

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old.reddit.com 9mo ago

YouTube's creator economy is about to collapse (AI replacement fact not theory)

dakial1
5pts2
old.reddit.com 9mo ago

I audited 47 failed startups' codebases

dakial1
60pts62
github.com 10mo ago

Agentic Runtime for Kubernetes (Ark)

dakial1
2pts0
arxiv.org 11mo ago

Amazon Ads Multi-Touch Attribution

dakial1
1pts0
www.livescience.com 11mo ago

Zuckerberg will no longer release the most powerful systems to the public

dakial1
8pts3
substack.com 1y ago

How to Negotiate with Trump and Win

dakial1
5pts2
erictopol.substack.com 1y ago

The breakthrough blood test for Alzheimers

dakial1
1pts0
www.ft.com 1y ago

Yuval Noah Harari: Trump's world of rival fortresses

dakial1
5pts1
www.thebanker.com 1y ago

Is the Honeymoon over for Neobanks?

dakial1
1pts2
ntp.niehs.nih.gov 1y ago

Fluoride Exposure: Neurodevelopment and Cognition

dakial1
3pts1
www.bloomberg.com 1y ago

Do Art Scenes Lead to Gentrification? (2018)

dakial1
20pts32
hbr.org 2y ago

Organization Isn't Designed to Work with GenAI

dakial1
1pts0
www.theverge.com 2y ago

2023 in social media: the case for the Fediverse

dakial1
2pts1
www.businessinsider.com 2y ago

Sergey Brin played a key role in creating Gemini

dakial1
2pts0
www.gsb.stanford.edu 2y ago

Why the binding arbitration game is rigged against customers (2019)

dakial1
93pts95
github.com 3y ago

Lightweight (Bayesian) Marketing Mix Modeling (Google Unofficial)

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1pts0
www.theatlantic.com 3y ago

A Man With 17 Kids (And Counting) (2019)

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1pts1
aclanthology.org 3y ago

The Covid That Wasn’t: Counterfactual Journalism Using GPT

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2pts1
www.thetimes.co.uk 3y ago

Chinese clothing giant Shein conquered the UK – and undercut rivals on tax

dakial1
4pts1
www1.folha.uol.com.br 4y ago

Brazilian Commerce site loses more than USD 20M a day with hacker attack

dakial1
3pts1
www.inspirock.com 4y ago

Inspirock

dakial1
1pts1
wallaroomedia.com 5y ago

Facebook News Feed Algorithm History

dakial1
1pts0
www.techrepublic.com 5y ago

As developers consider quitting, here comes the next big skills crisis [UK]

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2pts0
www.cosmopolitan.com 5y ago

The secret lives of Instagram 'it' girls (2018)

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4pts0
medium.com 5y ago

Creativity in the Times of Data

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1pts0
translate.google.com 8y ago

Waze error leaves São Paulo traffic (even more) congested

dakial1
38pts33
www.cbinsights.com 9y ago

Amazon Strategy Teardown

dakial1
1pts0

I understand this post comes from the PoV of a developer, but the key point is:

Maybe this setup is faster compared to the old way of working. But I also think it’s an unfair comparison. Working like this requires a much deeper involvement of domain and product experts. This involvement would mean writing out every feature and bug fix down to the tiniest detail.

The game-changer here with AI in software development is that now the Subject Matter Experts (SMEs) can directly guide AI (Claude Code, Cursor, Codex...etc) to translate the vision into code, review and iterate.

Yes, you are removing the developer from this step of the process, at least to build the MVP version of the service/backend/frontend.

By doing this,the process goes faster, as AI codes faster and the iteration with the SME goes way faster as well since there is no handover; you also lower the "quality attrition" of the process handover (in this case expert to developer), since the expert will explain the function to an AI that also has the deep knowledge in the expert field.

Obviously developers still are needed for the refactoring/hardening/compliance of that vibe-coded solution with corporate architectural/security guidelines, but soon enough those things will be done by AI too.

We are seeing this happening right now at all the big companies who are having a gigantic wave of employees (tech AND business) using Cursor, Claude Code and Codex.

So the skills will need to change and SMEs and developers will probably merge into one person that will have deep domain expertise, some systems and architecture knowledge to work more effectively with AI.

Of course this new reality will bring a lot of challenges. Like the software governance issue that some companies (e.g. Amazon) having problems with the huge proliferation of vibe coded solutions that overlap with each other (probably with different outputs) and create confusion in the business...

Your point is similar to the post in a sense that all abstractions are deterministic, so you could go connect the higher layer directly to the lower layer, while in LLMs, by their very probabilistic/black box nature you can’t have this direct link.

But isn’t this just a semantics discussion? Is there a rule for abstraction in CS that says it needs to be deterministic (I really don’t know)?

I believe deterministic abstraction to natural language is impossible to reach by the very ambiguous nature of it, we get misunderstandings when we talk to each other so naturally when talking to a machine it would need to be probabilistic to understand how to translate it to code.

Somewhat related but I always wondered if I asked a LLM to create a new language with full focus on LLM coding efficiency, ignoring the need for humans to read it, what would it come with? Binary?

...and I obviously asked Gemini about it and it replied:

"A language optimized exclusively for Large Language Model (LLM) efficiency would prioritize Token Density, Context Window Management, and Architectural Alignment. It would not be binary, as standard LLM architectures (Transformers) process discrete tokens from a predefined vocabulary, not raw bits."

Example of it:

  Feature        Human-Readable (Python/C++)       LLM-Native (Hypothetical)
  --------------------------------------------------------------------------
  Logic          if (x > 10) { return true; }      ¿x10†
  Memory         int\* ptr = malloc(sizeof(int));  §m4
  Tokens Used    ~10-15                            2-3

Exactly. Psychosis (and other mental illnesses) will find something to attach itself to. The opportunity here is for Google and other LLMs to include safeguards (and be very clear about them) and processes to direct the user, or, in extreme cases, direct health services to avoid a tragedy like this.

That is not new, just new with APIs.

The usual cycle with startups is to:

- Start being very open, as this brings people developing over the platforms and generates growth

- As long as they are growing, VC money will come to pay for everything. This is the scale up phase

- Then comes the VC exit, IPO or whatever

- Now the new owners don't want user growth, they want margin growth. This is the company phase

- Companies then have monetize their users (why not ads?), close up free, or high-maintenance stuff that do not bring margin

- and report that sweet $$$ growth quarter after quarter

...until a new startup comes in and starts the cycle over again, destroying all the value the old company had.

A mix of Enshittification and Innovators Dilemma theories

Some time ago I configured Photostructure on my Synology (with the amazing help of the author, @mceachen) and the most paindful part was rescuing my 1.5TB of photos from Google Photos. Takeout was very cumbersome to use and download 100+ files of 4gb, so ultimately resorted to paying a higher tier at Google Drive, using takeout Google Drive option and the sync to the NAS. I still don’t have a good method to keep everything in sync as Google Photos does not offer a viable option for a cloud-to-premises sync.

This makes more sense. I hate when people talk about taxing the “net worth” of some rich guy when a good part of that net worth is locked into invested companies who are (hopefully) being taxed already. The borrow scheme should be the thing being taxed really, because is a shadow realization of profit (they are borrowing against the current value of their assets)

This won't be a problem when Apple migrate all macs to OLED as blacks will be true black (no light). I have a Samsung SD95 that has a glare free chemical coating and it is amazing on rooms with too much light with no greyish black on low light conditions (at least from my personal experience).

Well onedrive is nothing more than sharepoint disguised as a cloud drive. So they adapted a legacy pre-cloud era code to create a competitor to dropbox and google drive. Imagibe how well that code works…

Yeah this has nothing to do with playing RPG, just a generation of screens.

But it reminded one of the firsts prompts I tried with ChatGPT back in 2022. I asked him to simulate a text-based adventure (based on the discworld universe) and every command I gave it would behave as an open world text RPG. It was pretty mindblowing

The main difference here is that Trump is satisfied with the narrative/appearance of winning, and not really winning. There is no 4D chess on his side other than appear tough and a winner.

China is in it for the long run, they have a strategy and the poorly thought and planned actions of Trump have opened the world to China, so these 3 next years might be the definitive moment when China becomes the de-facto leader of the world.

I imagine that the nail in the coffin would be China managing to get the Yuan as the international currency to trade with its partners.

ChatGPT Atlas 9 months ago

Tried using it, but 2FA is throwing me the error 409 below. Might be because I'm behind my company VPN.

Route Error (409 ): { "error": { "message": "Something went wrong. Please make sure your device's date and time are set properly. Check that your internet connection is stable, then restart the app and try again.", "type": "invalid_request_error", "param": null, "code": "preauth_cookie_failed" } }

Great you are owning the mistake and fixing it.

May I suggest a public post mortem so that the doubters can see that you went after the root cause?

Might be interesting for HN as well as big companies have mistakes in policy, teams and automated collections...