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chopete3

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Key point:

- Work is shifting from building/doing to evaluating, judging, and steering — that's where human value will concentrate.

Other supporting points. ------

- No lab milestone or "RSI breakthrough" will suddenly eliminate jobs — economic impact unfolds gradually over decades.

- Reliability, not raw capability, is the real bottleneck holding back AI automation today.

- Historically, making work cheaper/faster (ATMs, radiology, coding) has grown employment, not destroyed it.

- Superintelligence claims misunderstand human intelligence, which is itself amplified by tools like AI ("co-superintelligence").

It is not a good idea to compress articles like this but there are many of these opinions to read and trying to get to the point quickly to uncover new viewpoints.

You need a webring 17 days ago

The what and how parts are good but "why webring?" needs to be explained more.

If the content is summarized and personalized for the user the search engine is already rendering similar pages.

The problem with articles like this one is, they give ways to become efficient at handling more addiction, at the individual level. Nothing for others part of this, companies developing the software and organizations employing these tools.

Summary of the addiction management tips from the article.

1. Time-box your AI coding sessions with a clear goal and a hard end time.

2. Separate exploration (testing ideas) from execution (shipping code) to avoid losing focus.

3. Prioritize sleep, hard stops, and actual recovery as essential maintenance, not just wellness.

4. Invest in structured training to move from basic usage to advanced multi-agent workflows.

5. Personalize your AI workflow to fit your needs while actively avoiding common anti-patterns.

-

When a developer stops writing code and starts using Claude to handle multiple projects at once, they are essentially managing the outcomes.

They have become 10x engineering managers. The context strain and emotional strain is overwhelming.

The author says

> We don't really write code by hand anymore.

The software world is very close to building a super intelligent senior software developer. Companies like this will ask all the best things a software engineer does automatically. Now claude will add it into the coding agents itself.

Damn, I didn't see this coming.

Its first the build the intelligent builder. We will figure out what we want to build later.

Edit: Before more people take it seriously. This is sarcasm. I don't wish this.

This is great. Will check it.

Recently I bought a usb-c empty external monitor card to prevent mac from going to sleep. There are many of these external monitor simulators on Amazon.

I still see the laptop go to sleep many times with the external monitor simulator.

This is the one I bought.

4K 60Hz USB-C Type-C Virtual Display Adapter DDC EDID Dummy Plug Headless Ghost Display Emulator 2K 60hz1080P@120Hz

> We are taking this short-term step because we believe it is the strongest path...

>During this preview, we will continue testing and coordinating closely with partners as we work toward broader availability.

Instead of generating negative publicity, can't they just wait for the preview period to get over?.

What does openAI announce when they know others can't access it?. Curious question - what do they gain from this?

Unfortunately Elastic lost -60.54% market value in the last 5 years. Negative net income every year since going public.

The underlying message is a lot clear - they are a public company. They have to do this and more show to net positive income to keep the market value from falling further.

Companies can keep the employees with market value drop but it gets hard with negative income. Salesforce also lost ~37% value in last 5 years but they still print billions in net income every year.

The same story with companies like Gitlab. They lost 75% market value and negative income since going public.

It is natural that early brain evolved to handle "negativity bias" from local dangers, not 24/7 exposure to worldwide bad news.

But the author missed some key nuances.

- Whether a news is good or bad depends on the person.

- The same news is seen as good by one person but as bad news by another or not news by some. Good and bad is too general categorization.

- People seek out news naturally to expand the awareness. The author appear to make the point people are forced to know.

It's death 1 month ago

These kind of write-ups always try to bring one into their real world senses.

Few interesting observations

> Ten years gone for the sake of picking a Netflix show Thats just Netflix. With kids 18 years go by just like that.

> Nobody gets it all right. You’re born, and then you go through life making the choices that you think are the best given the information

This is said numerous times but can give wrong interpretation. Choices are what make the life. Life and choices are not parallel tracks.

> Yes, the tools are powerful, but a CEO who thinks they replace the work of employees is simply a bad CEO.

This is a broad generalization of employees. There will be some "routine tasks" that can be done by AI, now that is a lot more powerful.

There won't be as many employees needed for routine work - for example L1 and L2 support work. For example, many companies had ML engineers building models for various models. Companies can get that off the shelf from AI companies. They don't need a big team of model builders now.

Siri AI 1 month ago

They better make it really good. Most kids get their facts from it. One has to argue with their kids when it gives wrong information.

87% US teenagers own an iPhone. ~35% teens own an Apple Watch.

One other angle to think of is the midterm elections.

There will be chaos and potential stall for another 2 years following the elections and if the democrats win. There will be natural vested interest in showing economic decline or bad things to win next elections.

Both parties do it.

This is the best time to get to a safe place for all these companies.

I think they got most of it right. Whenever there is a tool that helps one super active, it is a one off cliff. Smart ones will figure that out and get back to using it for meaningful purpose. A small percentage weaker ones will get addicted.

Nothing different from all innovations.

Whenever I read articles like this one that appear to be very generic and give advice about dealing with AI, I remind myself that he software industry is like the construction industry.

It will never be organized, never fully optimized, and it will always be custom — because it has to cater to the reality of wildly different tastes, contexts, and localities. There may be some good tools, raw materials that show up once in a while.