I believe Japan has a different concept of retirement than America; I can't speak for other Western cultures. More elderly people work low-paying part-time jobs to remain members of society, in addition to their financial needs. Americans tend to work in retirement out of financial needs, while idealizing not working during retirement.

Overall, I enjoyed the essay and agree with the messaging. However, there were a few sentences that threw me off. I personally struggle with self-esteem issues, and I found these words extremely triggering, despite being sandwiched between words of self-affirmation.

> My best wasn't good enough. I'm not good enough.

> I don't mind feeling ugly or low-status or whatever -- I know my place.

> I don't need (or deserve) your sympathy.

It's difficult to tell if this is just rhetoric / sarcasm, or if the writer successfully processed through these initial feelings. Either way, I take these moments seriously because it's not healthy to let these feelings grow.

If you feel like you're struggling, I encourage you to talk to someone -- preferably a therapist, but anyone supportive works like a friend or family.

If you're adamant about not talking to someone, consider reading The Gifts of Imperfection by Brené Brown.

So what would the therapist convince him of? That his work was brilliant irrespective of the outcome? That's just gaslighting. (Not to say that the interview evaluation was fair)

You would hope that it would help him come to an acceptance of himself in such a way that he was less likely to engage in this kind of negative self talk.

Deleting extra code is easier than verifying deleted lines and restoring the ones that seem like an accident. It's just annoying.

It's the X/DOGE philosophy -- cut things out, and when the smoke starts spewing, try to work out which of the many things you cut were necessary.

Why would you use sentence level chunking?

I’ve generated embedding for “objects” or whole documents to get similarity scores. Helps with “relevant articles” type features.

I’ve also made embeddings for paragraphs or fixed sized chunks for RAG lookups. Good for semantic search.

I don’t understand why you would want embeddings on sentences.

> Chunking Strategies

> Sentence-level chunking works well for most use cases, especially when the document structure is unclear or inconsistent.

MCPs are the most basic solution possible. Shoving the tool definitions into a vector store and having a subagent search for relevant tools, then another subagent to run the tools would greatly reduce impact on context. I think it’d work in theory, but it’s so annoying to have to do something like this. We’re still in a world where we have some building blocks rather than full fledged toolboxes.

> MCPs are the most basic solution possible. Shoving the tool definitions into a vector store and having a subagent search for relevant tools, then another subagent to run the tools would greatly reduce impact on context.

That's a toolchain design approach that is independent of MCPs. A toolchain using MCP could do that and there would be no need for any special support in the protocol.

It looks like a fun website, not a for-profit website. The expectations and focus of fun websites is more to just get it working than to handle the scale. It sounds like their user base exploded overnight, doubling every 14 hours or so. It also sounds like it’s other a solo dev or a small group based on the maintainers wording.

But value creation isn't the point of taxes?

Why try to hide it? It’s like public disclosures of security vulnerabilities. You directly contact the few people who have actionable data and means to address the problem, then you tell the world that they’re impacted and should be aware that such a problem exists so we don’t repeat it.

Private disclosures for more sensitive vulnerabilities are a recommended practice. In your analogy, that's why I aluded to.

In such cases, you only share the sensitive vulnerability publicly once there is a fix. For this case, there seems to be no fix.

One could think of it as a way to promote more scrutinized hiring processes, but it actually encourages widespread paranoia and fear.

It seems your analogy is valid, but the conclusion is that it supports what I said.

Depends on the startup. For medical or financial things faster isn’t better.

DOGE acts like a startup and we all fear the damage.

I would prefer better startups over faster at anytime.

Now I fear AI will just make the haystack bigger and the needles harder to find.

Same with artists, writers, musicians. They drown in the flood of the AI created masses.

There’s an easier way to promote on social media without becoming a life consuming personal brand. Get yourself on those accounts that curate content.

Get your song featured on curated Spotify lists or Instagram/TikTok accounts that review books of a specific genre, or get a guest spot on a podcast about your topic.

This is like the old way of marketing. In the old days, you’d apply to talk at writing conventions, table, do book tours at stores, go to relevant events locally, and partner with libraries locally. To follow the song analogy, musicians used to send songs to DJs and radio hosts. Maybe your at a college radio level, or local broadcasting. Find your stations, build up your reputation.

In the end of the day, people have found their networks and communities. You should try to enter them and be a part of those communities rather than build one up for yourself.

The author has this insite when she describes most of her following is through some form of word of mouth. This social media era is the same, except some of the word of mouth is direct (DMs, IRL conversations) and others are through communities.

In an era of everything being algorithmically served to you, I’m impressed by how often personal recommendations weigh far heavier for people. A good example I’ve seen is restaurants. Sure, I might Google or Yelp, but if someone I know has similar taste recommends a place, I’ll give it a shot. It doesn’t need to be someone I know IRL or virtual, it’s just a person who shares the same interests.

I think this works well if you’re trying to promote something real, like what this author is doing. I have no solution for personal content.