ilovetux

I have yet to see a CEO actually take responsibility for anything. Its always some hand-wavey talk about strategy and unexpected decline in sales. Never once was it "I messed up."

I have, on the other hand, seen boards pile all the blame onto the C-Suite. Seems easy enough to pile the blame on an AI.

True, I tried to convey that.

Thanks. That actually makes it make more sense, chevron doctrine applied to courts and what they can/can't do.

Edit: made applies past tense

Didn't the supreme court recently overturn the Chevron Doctrine?

Doesn't that mean agencies like this are not free to set their own rules when a law is ambiguous?

And isnt the cap on number of households reached actually codified unambiguously in federal law?

Seems to me like this should not be allowed to happen.

Let me know if I am wrong.

First, I would like to preface that this is alpha and should not replace anything in prod at the moment.

What I like about how SIEMatic is built:

* Django (personal familiarity)

* Agent, Indexer, crawlers and web all share a codebase with separate settings

* Search language is built around django orm, built-in jinja2 and ast.literal_eval makes it very versatile, I will be writing some tutorials soon

* search commands designed to handle dataframes, Django Querysets and records (lists of dicts) with predictable conversion between them (you can filter early in you search pipeline)

* from local on sqlite (rundev command) to distributed on postgres with scaling/tuning tips

* comes out of the box ready to monitor your host and provide dashboards and savedsearches

* crawlers handle data retention, alerting, summary event generation and more

There's a bunch more, but again, this is alpha software.

Author here: Thanks for the upvotes!

I built this so I could have an analytics, observability and security stack in my back pocket.

Individuals, nonprofit and educational users are licensed for production use.

Commercial institutions must obtain a commercial license before production use.

Have any questions, feel free to ask.

I struggle with this. A kind of premature optimization. I get around it by taking really messy handwritten notes in a notebook (I guess this is called a dirt notebook, but I just call it my dirt notebook).

I get around this by making a deliberate attempt to organize my notes after I take them. I will usually try to turn them into a word doc with a lot of word art, but if they need to be in a repo or something, I will go with markdown.

Fair enough, I suppose.

While Tesla has (in some years) avoided traditional marketing, the ceo is known for spending ridiculous amounts of money on publicity stunts like having a submarine shipped to a cave and buying Twitter to boost public perception of his companies.

I think this is the exception that proves the rule.

I would agree with you if we were just talking about the abstract idea of marketing. But like everything else, the devil is in the details.

The marketing industry in the US is built not only to get the word out about your product, but also to gatekeep who can compete in our free market.

With marketing being so pervasive as to monetize the entire internet it effectively levies a tax on every business that wants to compete.

If you dont have the marketing budget to outspend your competition then they have no competition.

> "Anthropomorphic" means "human shaped".

In a literal, ancient Greek sense for sure, but in modern English Anthropomorphic would describe the act of attributing human characteristics to non-human entities.

Seems pretty apt for a company that produces one of the more anthropomorphized technologies.

I like the approach outlined in the article. These days having a roadmap for yourself while cruising at highway speeds helps make sense of the chaos.

One big pain point that has existed forever and has never really been addresses adequately is the ability to come up with requirements.

Sure, it sounds easy, I need the app to do x, y and z. But requirements change in real time because of lack of foresight, change of business needs, an unexpected roadblock and more contribute to changing requirements.

So, the advice to come up with the requirements by yourself or with the LLM miss the biggest pain point.

I'd like to see a resurgence of flow charts, IPO (Input, Processing and Output) charts and other tools to organize requirements spring up to help with really nailing down requirements.

I will say, though, some of the pain is relieved because the agent can perform a huge refactor in a couple of minutes, but that opens a whole new can of worms.

I think some AI companies are just now starting to feel the pressure to profit.

Soon, I predict we will see a pretty significant jump in price that will make a 10% productivity gain seem tiny compared to the associated bills.

For now, these companies are trying to reach critical mass so their users are so dependant on their tech that they have to keep paying at least in the short term.