kokanee

The seasons idea is interesting -- to me, both proposals feel wrong. I think it's because the weather changes that I perceive seem to lag behind the changes to daylight length by a few weeks.

I would propose boundaries that align partly with how I perceive the weather, and partly with how we plan our year (by months): Summer starts June 1st, Fall starts September 1st, Winter starts December 1st, and Spring starts March 1st.

I'm conflicted -- the author's rounded Mac looks more comfortable to use, but aesthetically it looks worse. He turned the track pad notch into an amorphous shape that looks like a mistake.

That seems fine if you're not publishing content for a living. A lot of people are.

> the agency said it was confident that a change to the re-entry trajectory would be more than adequate to offset any spalling issues. Somewhat confusingly, they also announced their intention to switch to a new heat shield design, starting with Artemis III.

It's fine to be concerned, but this kind of take is why public agencies are damned no matter what they do. In the private sector, operating with the suboptimal resources you have while working on a better iteration is standard practice, even in industrial settings. But when you're a public organization, if anyone can find anything that is less than 100% optimal, the same people who complain about how slow the public sector is will complain that you're cutting corners, or that you're inept.

But everyone at the company has that private domain knowledge. The only thing you're bringing to the table that anyone in any other role doesn't offer is the commoditized skill set.

YOU GUYS IT HAS A HEADPHONE JACK

I view the issue of inefficient communication as a problem that will wane as LLMs progress, and a bit idealistic about the efficiency of most human-to-human communication. I feel strongly that we shouldn't be forced to interact with chatbots for a much simpler reason: it's rude. It's dismissive of the time and attention of the person on the other end; it demonstrates laziness or an inability to succeed without cutting corners, and it is an affront to the value of human interaction (regardless of efficiency).

LLMenthols

There's also no hope of creating a web that is resistant to enshittification and power consolidation as long as it can technically support any form of economic transaction.

I love postgres and it really is a supertool. But to get exactly what you need can require digging deep and really having control over the lowest levels. My experience after using timescale/tigerdata for the last couple years is that I really just wish RDS supported the timescale extension; TigerData's layers on top of that have caused as many problems as they've solved.

I started to write a logical rebuttal, but forget it. This is just so dumb. A guy is paying farmers to farm for him, and using a chatbot to Google everything he doesn't know about farming along the way. You're all brainwashed.

> These things are average text generation machines.

Funny... seems like about half of devs think AI writes good code, and half think it doesn't. When you consider that it is designed to replicate average output, that makes a lot of sense.

So, as insulting as OP's idea is, it would make sense that below-average devs are getting gains by using AI, and above-average devs aren't. In theory, this situation should raise the average output quality, but only if the training corpus isn't poisoned with AI output.

I have an anecdote that doesn't mean much on its own, but supports OP's thesis: there are two former coworkers in my linkedin feed who are heavy AI evangelists, and have drifted over the years from software engineering into senior business development roles at AI startups. Both of them are unquestionably in the top 5 worst coders I have ever worked with in 15 years, one of them having been fired for code quality and testing practices. Their coding ability, transition to less technical roles, and extremely vocal support for the power of vibe coding definitely would align with OP's uncharitable character evaluation.

I think both sides of this debate are conflating the tech and the market. First of all, there were forms of "AI" before modern Gen AI (machine learning, NLP, computer vision, predictive algorithms, etc) that were and are very valuable for specific use cases. Not much has changed there AFAICT, so it's fair that the broader conversation about Gen AI is focused on general use cases deployed across general populations. After all, Microsoft thinks it's a copilot company, so it's fair to talk about how copilots are doing.

On the pro-AI side, people are conflating technology success with product success. Look at crypto -- the technology supports decentralization, anonymity, and use as a currency; but in the marketplace it is centralized, subject to KYC, and used for speculation instead of transactions. The potential of the tech does not always align with the way the world decides to use it.

On the other side of the aisle, people are conflating the problematic socio-economics of AI with the state of the technology. I think you're correct to call it a failure of PMF, and that's a problem worth writing articles about. It just shouldn't be so hard to talk about the success of the technology and its failure in the marketplace in the same breath.

I think it's a matter of public perception and user sentiment. You don't want to shove ads into a product that people are already complaining about. And you don't want the media asking questions like why you rolled out a "health assistant" at the same time you were scrambling to address major safety, reliability, and legal challenges.

Anyone who runs ads on their website has a financial incentive to publish content publicly while blocking LLM trainers

Seems to me that the obvious business model here is that they will need to have their AI inject their own ads into the DOM. Overall though, this feels like a feature, not a business.

That's what I was gonna say. All of these companies are desperate to make Clippy work.

You're neglecting the fact that the affected customers paid for FSD and never got it.

We're getting awfully close to that scenario. Like frogs in a warming kettle.

If it goes red, we aren't alive to see it

I worked at AMZN for a bit and the complexity is not exactly arbitrary; it's political. Engineers and managers are highly incentivized to make technical decisions based on how they affect inter-team dependencies and the related corporate dynamics. It's all about review time.

You might not like the tone, but I don't see what makes the words false. "Paramilitary" describes a non-military group behaving similarly to a military group, and we're talking about armed masked men sweeping homes, taking prisoners, and engaging in violent conflicts. "Operating illegally" means that federal, state, or local laws have been broken, and that seems to be the case, e.g. Gonzalez v. ICE.

No browser extensions necessary, just right click > inspect element > select <body>, then turn off the CSS rules you don't want.

Waiting for the day when I can cash out my reddit karma for USD

Interesting. I've been remote for 5 years across three different companies, and if anything I've had the opposite experience: my remote coworkers are far more responsive than my on-site coworkers, who are always in meetings, in transit, having in-person chit chat, or taking a break.

The website is fast if you don't use the website

Just the pesky matter of figuring out what humans will do for money, and then we'll be free to run in the meadows like we were meant to

I'm not convinced that the immaturity of the tech is what's holding back the profits. The impact and adoption of the tech are through the roof. It has shaken the job market across sectors like I've never seen before. My thinking is that if the bubble bursts, it won't be because the technology failed to deliver functionally; it will be because the technology simply does not become as profitable to operate as everyone is betting right now.

What will it mean if the cutting edge models are open source, and being OpenAI effectively boils down to running those models in your data center? Your business model is suddenly not that different from any cloud service provider; you might as well be Digital Ocean.

Your comment warrants a post in its own right: let's rank FAANG/M by evilness. Personally I've always been way more afraid of Google, because Microsoft's evil is just old-school capitalism, which is blatant, brash, and harder to ignore than to identify. Google feels like they are quietly and surreptitiously trying to pull the strings of the online economy in their favor, voraciously consuming the world's data behind the scenes, presenting to consumers a tiny little sliver of this massive digital beast lurking under the hood. They're always 15 years ahead of policy, so they get away with theft, copyright infringement, monopoly, and more, on a scale that I don't think we even fully understand.

My ranking from most evil to least would be:

1. Google

2. Meta

3. Microsoft

4. Amazon

5. Apple

6. Netflix

You are probably overqualified, but the leveling might be flexible, I'm not sure: https://eh2.com/careers/?gh_jid=4587712005