gbalduzzi

I created a gem on Gemini (the equivalent of a gtp) basically with a set of instructions for rewriting my text in a professional, clear and concise way and it works great.

I just write my text without too much thought about it and I get a rewritten version that is usually clearer, but not pedantic or overly verbose.

It particular helps for English text as it is not my first language

Everyone remembers fondly the time they were young, I believe it is more about that then everything else.

I understand your feelings but it is extremely tipical in human history to keep remembering "the good old times"

Gemini cli id definitely agentic, cursor and antigravity have agentic tools.

Claude code is simply considered the best agentic tool, not the only one lol

> I believe Twitter, Youtube, Discord, Reddit, Imgur each had no monetization at all for the first 3~5 years of their existence

yes, their business plans was always to engage a lot of users losing VC money until you are a platform with enough moat to add monetization. It was the plan all along

It is the plan for plenty of startups: when it works you become a tech giant, otherwise you fail and no one knows you

Because I never engage with them and they clutter my inbox, especially if I make more than one purchase in the same period.

One email, with the receipt and the tracking number is enough for me, everything else is just noise to me.

I totally agree that it is not an important problem: it is a nitpick, but that is why I think it is a problem.

Or eventually you could answer wrongly to a question without answers, triggering plenty of correct ones

I read it as "everything controlled by us is local first and we do not collect any data about you"

I agree that someone may misunderstand their phrasing though

I'm definitely not an AI skeptic and I use it constantly for coding, but I don't think we are approaching this future at all without a new technological revolution.

Specifications accurate enough to describe the exact behaviors are basically equivalent to code, also in terms of length, so you basically just change language (and current LLM tech is not on course to be able to handle such big specifications)

Higher level specifications (the ones that make sense) leave some details and assumption to the implementation, so you can not safely ignore the implementation itself and you cannot recreate it easily (each LLM build could change the details and the little assumptions)

So yeah, while I agree that documentation and specifications are more and more important in the AI world, I don't see the path to the conclusions you are drawing

I think the main point is that LLMs are pretty good at following existing patterns and conventions.

If you setup your skeleton in a way it is familiar to you, reviewing new features afterwards is easier.

If you let the LLM start with the skeleton, they may use different patterns and in the long run it's harder to keep track of it.

> If a law being enforced 100% of the time causes problems then rethink the law (i.e. raise the speed limit, or design the road slower).

Isn't this the point of the whole conversation we are having here?

Laws on copyright were not created for current AI usage on open source project replication.

They need to change, because if they are perfectly enforced by the letter, they result in actions that are clearly against the intent of the law itself.

The underlying problem is that the world changes too fast for the laws so be fair immediately

I'm still using the touch bar MBP. For doing web work using vs code, it works very well.

You start having problems when an heavy compilation is required, e.g. Android / iOS builds

> it seems to cater to how the masses use these tools.

Are you suggesting that they should ignore the needs of the vast majority of their users?

I mean, of course they do, it would be worse otherwise

Claude is definitely tech only.

Gemini is the only real competitor to OpenAI in the consumer space: they already have the consumer eyes on their products and they have the financials to operate at a loss for years.

They are well positioned to fight for the market

I think it depends on the task.

How bad it is if put of 200+ conversations, a couple of those are not exported correctly? Not much honestly. If I verify some of those and they are ok, I would see no reason to keep verifying all of them.

The human in that case is not "so slow", but at the current state it is slower than an LLM as simple as that.

The difference comes in confidence that the solution works and can be maintained in the future, but in terms of purely making the decisions and applying the changes an LLM is faster when it has all the required infos available

Yes, but you need this information once, maybe twice a day, instead all smart devices tend to present it to you constantly.

I have a pixel device, and by default I have the weather on both lock screen and home screen. Every morning I receive a notification with the expected weather for the day, and it keeps suggesting me to enable the weather preview right after the morning alarm.

Garmin smartwatch? Same

Android car / Apple car? Same

MacOS has the weather as one of the most prominent widgets available, and I believe windows to be the same.

Do I really need to have weather info constantly available to me?

Yes, but it's the kind of information you need once a day on average and you are good to go.

Instead you find it placed on your smartphone homescreen, on the smartwatch, on the home dashboard, on a notification you receive every morning, on your car screen, on your computer, ... I don't need to see it constantly.

Personally I believe it is something that it is easy to integrate and that users don't perceive as useless, but 99% of the time doesn't add any value

I don't see it even after refresh. Are you using the opencode-gemini-auth plugin as well?

That is why I said "also", it should not be the only factor.

The conversation was moving between two possibilities only: either collect bug bounties or sell on the black market. I believe most (again: most, not all) security researchers collecting bug bounties right now would not start selling on the black market in case bounties disappeared. They would change their focus to something else to sustain themselves

> So why would anyone ever take a bounty instead of selling on the black market? Risk!

I like to believe there are also ethics involved in most cases

Neat idea, but why should I use AI for a find and replace?

It feels like shooting a fly with a bazooka

> This is different from swagger / OpenAPI how?

In the way that Swagger / OpenAPI is for API endpoints, but most of the "skills" you need for your agents are not based on API endpoints

The language itself was not invented for the purpose: it was the language spoken in Florence, than adopted by the literary movement and than selected as the national language.

It seems like the best tradeoff between information density and understandability actually comes from the deep latin roots of the language

I was honestly surprised to find it in the first place, because I assumed English to be at first place given the simpler grammar and the huge dataset available.

I agree with your belief, other languages have either lower density (e.g. German) or lower understandability (e.g. English)

> Single files in our codebase already blow the Copilot query token limit.

This tells more about your code quality that about copilot, and I'm not a fan of copilot

It baffles me how much the discourse over native apps rarely takes this into consideration.

You reduce development effort by a third, it is ok to debate whether a company so big should invest into a better product anyway but it is pretty clear why they are doing this

If I understood correctly, the same can be done on VS Code with the github plugins (for github PRs)

It's pretty straightforward: you checkout a PR, move around, and either make some edits (that you can commit and push to the feature branch) or add comments.

I don't understand what kind of evidence you expect to receive.

There are plenty of examples from talented individuals, like Antirez or Simonw, and an ocean of examples from random individuals online.

I can say to you that some tasks that would take me a day to complete are done in 2h of agentic coding and 1h of code review, with the additional feature that during the 2h of agenti coding I can do something else. Is this the kind of evidence you are looking for?

Yes, the model runs in C, you just provide the model weights to the program.

The main advantage is that you don't need the python interpreter to run the program.

While not revolutionary, it is definitely not trivial and its main purpose is to demonstrate Claude code abilities in a low level, non trivial task.

The problem with jQuery is that, being imperative, it quickly becomes complex when you need to handle more than one thing because you need to cover imperatively all cases.