8,106 karma · joined May 10, 2015
https://www.renderbetter.com
https://www.devisedlabs.com
https://twitter.com/JamesKoshigoe
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I think you should try eating pudding with a fork next
This is by design. The United States is exactly meant to be that: states that are united, but independent. The federal government was never intended to lord over everyone's lives. The expansion of the federal government, especially the powers of the executive branch, is the problem everyone seems to dislike (when their favored party isn't controlling this branch), and that's what needs to change
Skills have become widely adopted since Anthropic's announcement. They've been implemented across major coding agents[0][1][2] and standardized as a spec[3]. I'm not sure what you mean by "next big thing" but they're certainly superior to MCP in ways, being much easier to implement and reducing context usage by being discoverable, hence their rapid adoption
I don't know if skills will necessarily stay relevant amongst evolution of the rest of the tooling and patterns. But that's more because of huge capital investment around everything touching AI, very active research, and actual improvements in the state of the art, rather than simply "new, shinier things" for the sake of it
[0]. https://developers.openai.com/codex/skills/
[1]. https://antigravity.google/docs/skills
I just helped a non-technical friend install one of these coding agents, because its the best way to use an AI model today that can do more than give him answers to questions. I'm not surprised to see this announced and I would expect the same to happen with all the code agents becoming generalized like this
The biggest challenge towards adoption is security and data loss. Prompt injection and social engineering are essentially the same thing, so I think prompt injection will have to be solved the same way. Data loss is easier to solve with a sandbox and backups. Regardless, I think for many the value of using general purpose agents will outweigh the security concerns for now, until those catch up
I just helped a non-technical friend install one of these coding agents, because its the best way to use an AI model today that can do more than give him answers to questions
These have been outpacing CPI because they're levered by cheap debt, brought to you by central bank actions that keep rates low so governments can play the same levered games with their own runaway fiscal policies.
This is because sales is a zero sum game. When everyone can do something at scale, like send an email sequence, nobody wins. Now inboxes are flooded with spam that get deleted and phones go straight to voicemail because people have learned it’s not worth it. You can try to create even bigger lists to capture some 0.01% that will respond, but that’s a shrinking game and many B2B companies don’t have the market size for it
Instead, for my company and others I know, we’ve returned to old fashioned human relationships that don’t scale as easily. Building partnerships, asking for warm introductions, conferences, networking, events, hell I even know of someone who knocks on doors for B2B and it works for them. People ignore spam from bots but they’ll listen to real humans. They’ll read emails and take phone calls from people they know. It’s about trust now, not scale
I’d still recommend learning closing and everything needed for once a deal is in your pipeline. I think a book like Founding Sales is good for that, if a bit dated now (skip the stuff about cold sales in the first half of the book). Never Split the Difference for negotiation. For in person sales, this is basically what anyone in partnerships and outer sales do. I don’t know of resources on that. I’m learning from friends who do that and old fashioned searching
The incentives are aligned with the AI models companies, which benefit from using more tokens to code something from scratch
Security issues will simply move to LLM related security holes
https://www.snwa.com/water-resources/where-water-comes-from/...
https://www.snwa.com/assets/images/colorado-river-allocation...
For indoor usage in Las Vegas for example, it recycles 99% of it:
Using water in the desert is a problem, but point to CA or AZ as poster children of abuse for that
> Average prices are best used to measure the price level in a particular month, not to measure price change over time. It is more appropriate to use CPI index values for the particular item categories to measure price change.
I’m not doubting that (inflation-adjusted) energy prices have gone up but this graph is misleading to represent it
FRED actually has a blog post about how you would go about calculating an inflation-adjusted priced graph here: https://fredblog.stlouisfed.org/2022/11/fred-gets-real-unles...
https://web.archive.org/web/20250912055105/https://www.egypt...
(The site may be hugged to death)
Proofs never took off because most software engineering moved away from waterfall development, not just because proofs are difficult. Long formal specifications were abandoned since often those who wrote them misunderstood what the user wanted or the user didn’t know what they wanted. Instead, agile development took over and software evolved more iteratively and rapidly to meet the user.
The author seems to make their prediction based on the flawed assumption that difficulty in writing proofs was the only reason we avoided them, when in reality the real challenge was understanding what the user actually wanted.
I already have in my prior comment:
>> You could make the same argument that it’s a lack of working enough hours. I’m not saying it’s either, simply that hours worked is not proof alone that the problem is the lack of jobs.
In other words, your logic is:
Assume rent should be this amount -> subtract last paycheck to arrive at difference -> assume hourly wages should be this amount -> divide paycheck difference by hourly wage -> assume the result is the number of hours unavailable for work -> assume lack of hours is the cause for inability to live in a home
Note how many assumptions there are. Some questions that may disqualify any chain of this reasoning:
* How much is the median rent in places where a majority of this population lives? Is it potentially higher where they were living?
* Has the rent to income ratio changed at all, especially in their location?
* Were the majority of these individuals making minimum wage before? Could they have been working gigs for less or more?
* Are the lack of “hours” worked really due to lack of work and not another factor (e.g. ability to work, transportation, skill, etc.)?
* How much is this population spending on other costs that have taken precedence over living in a house? Has that changed at all?
With all that said, a stretch is not implausible. In reality, there is no smoking gun, only a myriad of contributing factors, different for each individual.
It seems like a stretch to assume this is a jobs issue. You could make the same argument that it’s a lack of working enough hours. I’m not saying it’s either, simply that hours worked is not proof alone that the problem is the lack of jobs.
That said, housing prices continue to outpace household income [0], which should be a lot easier to explain as a cause for the problem that many cannot afford housing where they were able to before. Especially in California where there’s a greater incentive to hold on to a house and extract rent from it due to prop 13, and infamous amounts of attempts to constrain housing supply through regulations and lawsuits.
0. https://fred.stlouisfed.org/graph/?g=1MH1V (Real Median Household Income vs Median Sales Price of Houses Sold)
0. https://en.wikipedia.org/wiki/2011_military_intervention_in_...
"City-upon-a-hill" is marketing and has never been grounded in fact. It’s hubris and arrogance. The US is viewed as that place if you get on the wrong side of, it will bomb you or replace your government through coercion. It outspends every country on "defense" to ensure this.
History is littered with plenty of examples where the US favored a more authoritarian or "evil" government over less, sometimes even installing them. Arab Spring is a recent example where you saw governments replaced with the US' help, while leaving some notable monarchies alone.
In reality, the US employs its foreign policy for its own interests. It’s always been like that.
hx-trigger="keyup changed delay:500ms"
hx-trigger="click[ctrlKey]"
It fires off weird events you’re supposed to hook into with JS:
document.body.addEventListener('htmx:beforeSwap', function(evt) { …
You lose static analysis and gain hard to track down bugs merely from typos
It reminds me of ColdFusion and Angular v1, with its extensions to HTML. HTML was meant for defining content structure, not behavior
Just use plain JS over this if you hate React so much. Or jQuery even. Keep the behavior out of the content layer.
Therefore the lender will not be made whole when their debt serf dies. That seems to place an upper ceiling on the (inflation adjusted) growth of the investment side.
I’m guessing the author meant it tongue in cheek but really meant “everyone I know or follow knows it’s a bubble”
> Then in December, Claude finally got good enough to answer some of those questions for us.
> … Six months later, 80% of the questions I'd been being asked had disappeared.
Interesting implications for how to train juniors in a remote company, or in general:
> We find that sitting near teammates increases coding feedback by 18.3% and improves code quality. Gains are concentrated among less-tenured and younger employees, who are building human capital. However, there is a tradeoff: experienced engineers write less code when sitting near colleagues.
https://pallais.scholars.harvard.edu/sites/g/files/omnuum592...