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another_twist

281 karma · joined June 23, 2025

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another_twist··on The Brand Age
GPT doing a great job summarizing and providing a counter:

what's they key thesis here and the argument ?

*Key thesis:* When technology eliminates meaningful performance differences between products, industries shift from competing on *engineering and function* to competing on *brand and status*. The Swiss watch industry after the quartz crisis is a clear example: mechanical watches stopped being valuable tools and became *luxury symbols whose value comes mainly from branding, scarcity, and signaling wealth*.

*In one sentence:* The essay argues that when technology makes functional differences between products disappear, industries shift from engineering competition to branding competition, and the modern luxury watch market illustrates how that transformation works.

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If you want, I can also explain *why this essay is controversial among economists and designers*—there are a few big assumptions in the argument.

And the counter A few places the argument is debatable (even if it’s persuasive as a narrative):

It treats “brand” and “engineering” as mostly opposed. In practice, luxury buyers often do pay for engineering (finishing, durability, serviceability, movement architecture), and those technical choices can reinforce brand rather than fight it. The tension is real, but not always zero-sum.

It downplays other drivers of the Swiss recovery. The rebound isn’t only “they discovered brand.” Things like Swatch’s role in recapitalizing distribution/production, industry consolidation, improvements in manufacturing, and globalization of luxury demand can explain a lot of the late-1980s revenue surge alongside marketing.

The “artificial scarcity = managed asset bubble” framing is provocative but contestable. Scarcity can be interpreted as: capacity constraints, quality control, long-term brand stewardship, or channel strategy—not necessarily “bubble management.” It may function bubble-like in resale markets, but that doesn’t prove intent or fragility in the way financial bubbles work.

Some claims are asserted more than demonstrated. Examples: Rolex “abandoned research” after ~1960; “only three survived as independents”; “most brands are owned by six holding companies”; “they rebuy hundreds per year.” These might be true in broad strokes, but the essay uses them as load-bearing supports without showing evidence in-text (beyond a couple notes).

The design-history claims are simplified. Watch size and shape trends aren’t only branding; they’re also driven by changing tastes, ergonomics, manufacturing norms, sport/tool styling, and shifting notions of masculinity. “Big = cheap historically” is directionally true in some eras, but not a universal law.

The gender section is especially shaky. “Women never really went for mechanical watches” and the steam-engine analogy read like overgeneralizations—there are strong counterexamples (and cultural variation) that complicate that story.

another_twist··on Modern CSS Code Snippets: Stop writing CSS like it's 2015
Congratulations to the creator of this site and thank you so much for posting it !

I have to (unwillingly) do frontend work so I recently read up on CSS quite a bit. I have always thought that using computed numbers for styling is bonkers. Its better to use CSS that uses logical values. The site seems to emphasize that style.

another_twist··on Vim 9.2
Vim is a ironically far better suited to agectic coding than any other ide in my opinion.
another_twist··on IBM tripling entry-level jobs after finding the limits of AI adoption
Number of features shipped. Traction metrics. Revenue per product. Ultimately business metrics. For example, tax prep effectiveness would be a proper experiment tied to specific metrics.
another_twist··on Zed editor switching graphics lib from blade to wgpu
Curious: whats your primary programming language and what sort of development do you do ? In my experience with LLMs agentic coding paired with a good IDE works wonders. Its also allows me to surgically write critical bits of code myself while outsourcing boilerplate stuff.
another_twist··on GPT-5.2 derives a new result in theoretical physics
Thats great. I think we need to start researching how to get cheaper models to do math. I have a hunch it should be possible to get leaner models to achieve these results with the right sort of reinforcement learning.
another_twist··on MinIO repository is no longer maintained
Why should these guys bother with people who won't pay for their offering ? The community is not skilled enough to contribute to this type of project. Honestly most serious open source is industry backed and solves very challenging distributed systems problems. A run of the mill web dev doesnt know these things I am sorry to say.
another_twist··on Open source is not about you (2018)
I think the issue is answering the question whats the business model ? If the team makes money consulting on clojure, then thats likely a bad model since I have not seen a single example of people paying for advice on coding. Usually the answer is to hire a coder who knows thier stuff and increasingly to use AI.

Open source for infrastructure products work just fine. It simplifies distribution by eliminating the need for procurement, builds some kind of attachment since people love using their own tinkered products and hedges risk for the customer since if the devs stop working on the product someone else will pick up.

But having to fill out forms, doing compliance work are great money making levers for which you just charge through the nose. Ultimately, open soircing is a distribution strategy and whether you should adopt it or not is dependent on the context. Most infra products do and it works out fine. Case in point: Clickhouse, Kafka, Grafana, Sentry, RedHat, Gitlab.

another_twist··on Japan's Dododo Land, the most irritating place on Earth
My other hangout is cracked.com. Another corner with really niche and weird content.
another_twist··on The Feynman Lectures on Physics (1961-1964)
Self study is the best study. Out of all the bloatedness of modern education, one thing that doesnt bother me is the high cost of textbooks. High quality books and a habit of studying yourself enables you to learn high skill disciplines on the cheap.

For me, I am currently slogging through Lazlo Lovasz's combinatorics book and another one on Monte Carlo method. Dont know why but its just a good way to pass the time while staying away from the internet and its attention hogging.

another_twist··on Edinburgh councillors pull the plug on 'green' AI datacenter
Then build houses. Giving away real estate for basically 10 more jobs and a highly automated facility is bad bargaining.
another_twist··on Rust implementation of Mistral's Voxtral Mini 4B Realtime runs in your browser
Mistral can really end up having its RedHat moment. I think open models will only get more interesting from here.
another_twist··on Rust implementation of Mistral's Voxtral Mini 4B Realtime runs in your browser
Uggh. I had just started working on this. Congratulations to the author !
another_twist··on We mourn our craft
Thats actually right. Tbh, I loved learning languages and read books like Programming Perl just because somebody recommended it in an online forum (back in the day). So I get the appeal. But in the end, coding by hand is on its way out and its better to move on rather than romanticize.
another_twist··on We mourn our craft
A much more measued and pragmatic take.
another_twist··on We mourn our craft
For me its the money. Software paid and does pay well when I got in. I have actually been trying to get the eff out as fast as I can and move to management/research (I work in ML). I have avoided web dev shit like the plague since it is indeed very low value added work. The fact that LLMs can finish all this crappy work for 20bucks a month where I dont have to do it by hand is a welcome step. Otoh, I dont think point and trust is the way to do AI assisted coding. You get better output when you know the business logic and can make sense of the code. In fact, I prompt many many times until the AI spits out something I understand.

Honestly all the complaining about dying of a craft is just pathetic. In one of the jobs I worked, there were specific performance rubrics under "Craft" and those really annoyed me. Software / Code is just a tool to solve a problem.

another_twist··on Coding agents have replaced every framework I used
Right. Lets all write our own Spring Framework / Django / Ruby on Rails. Everyone who contributed to these frameworks was obviously a jackass but me with my Claude sub can beat everybody while ignoring the actual stuff that I should be doing. Makes for a perfectly great maintenance burden.
another_twist··on AI is killing B2B SaaS
Literally everything is a UI atop a database. Writing the data models, crafting the right uI and the right flows is non trivial. It requires iteration and that refinement is what customers pay for. The reality with SaaS stocks is they dont make anything critical. eg Take any large consumer tech company and they dont use Klaviyo. These companies build their own stack and one thats intimately connected with the data lake. It works for tech companies since they hve good data and it doesng work for non-tech companies because a good fraction of their data is trash.
another_twist··on AI is killing B2B SaaS
That too on a 30k contract. That CEO likely sells some AI software and is under tremendous VC pressure to show AI investment.
another_twist··on AI is killing B2B SaaS
This was the same hype around NoCode a few years ago. Thing is people for software as a service and internal teams dont want to do the service part. A common thread among all of the vibe coded stuff I hear is that nobody talks about the next requirement which was handled. Frankly UIs are learnable and after a few tries everybody gets used to it. The extra polish is totally not worth it. Eventually every SaaS on the non-critical business path gets ripped out with one of the platform players such as SAP, SalesForce etc which are infinitely customizable. Salesforce even has its own language in which customers write their apps.

The system of record bit is quite correct and imo the only durable advantage. But that doesnt explain why Klaviyo shoyld worry. In fact marketing workflows are some of the most important systems of record directly tied to business earnings.

The assumtpion that in SaaS you build once and everybody uses it is false. There are always customizations or features that need to be built for big contracts. Its the small players that are okay with out of the box SaaS since they lack the budget to pay for a customization. Ironically, these teams will get hurt the most should they choose to go down the vibe code everything path. Here infra capex is far lower than payroll and owning too much software (vibe coded or not) will simply steal time from business development.

Honestly, the market just panicked and caused a temporary correction thats all. Then we all got busy and wrote a bunch of thought leadership crap on top.

In reality AI is the best thing to happen to SaaS companies since it reduces RnD time and expenses, allows even small players to bid for large contracts without overloading existing dev capacity and also makes it possible to put devs in front of customers since now there's no need to sit down and code. AI is also the best thing to happen to engineering since it now allows for product management to be folded into the existing craft.

another_twist··on Coding assistants are solving the wrong problem
Silent naive compliance. AI will try to follow the prompt almost to a fault and because AI doesnt talk back, its upto the operator / engineer to ensure that requirements are well scoped. Product meetings often have a form of hand-waviness to details. The little assumptions which are out of place are what slow down a project the most. The issue is that with AI it is easy to quickly go far down the wrong road. I think thats the reason for the slow down that people experience.

Ironically, the very agents designed to replace engineers are now making engineers more important. These requirement collection skills can and should be folded into the existing craft of software engineering.

another_twist··on Waymo seeking about $16B near $110B valuation
Waymo as a business has higher operating margins. I'd suppose that has to compensate for the lower scale. Having said that, Waymo likely needs more time to onbard cities than Uber so growth might be jerky.
another_twist··on Claude Code is suddenly everywhere inside Microsoft
I have to deal with C) at $BiGTech where multiple ML teams reported to someone who never worked with ML. For machine learning, it is especially problematic since even being a good engineer requires you to understand the algorithms on some fundamental level. Now thats hard if you have never done anything remotely ML in life.
another_twist··on Claude Code is suddenly everywhere inside Microsoft
I have found copilot to be very noisy to the point where I have had to turn it off and then uninstall on both IntelliJ and VSCode. I have found generating code via your favourite coding agent and then reviewing the output to be less taxing since the review burden is reduced. For agentic, you often have to review a bunch of code but its usually very close to the spec. Reviews are then easier.
another_twist··on The Codex App
Meaning sentry exposes an MCP layer with a tool call layer and tool registry. In this case, the layer is provided by Sentry. Native would mean if calling specific Sentry APIs is provided as a specific integration path depending on the context. Atleast thats how I categorize.
another_twist··on The Codex App
I am not sure if multi agent approach is what it is hyped up to be. As long we are working on parallel work streams with defined contracts (say an agreed upon API def that backend implements and frontend uses), I'd assume that running independent agent coding sessions is faster and in fact more desirable so that neither side bends the code to comply with under specified contracts.
another_twist··on The Codex App
Is the integration with Sentry native or via MCP ?
another_twist··on The mythical AI-agent month
Depends on the language and the way code is written. Actually if you can run the code locally, getting things to compile is a bottleneck in Java especially for constructor juggling. Once code compiles, iterations do the rest. Iterations are better done by hand I think, we can get feedback on the code while keeping things fresh in our heads. For critical stuff where coding = thinking, its just faster to code.
another_twist··on Oregon gave homeless youth $1k/month with no strings
Yeah but then you cant pay Palantir to throw their "advanced" data analytics engine at the problem. And who will fund the military industrial complex that does the important job of defending the people of America from external threats that are absolutely totally coming for you.
another_twist··on Oregon gave homeless youth $1k/month with no strings
Heres what happened .. A bunch of folks who were born into wealth and who vote Republican criticized the program as socialism since they believed that everyone should pull themselves by their bootstraps just as they did by being born into money. If you havent, well systems dont work for everybody so its tragic but helping people institutionally is socialism and nothing not even homelessness is worse.
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