abakker
abakker on Hacker News
You can accomplish this without an HOA, also. That’s just a non-profit. The idea that deed restrictions and dues are tied together is a serious overstep, in my opinion.
If I was in the market for a lathe that small, I’d probably just buy a slightly larger mill and work on rotating parts vertically, TBH.
If you were committed to wanting a small lathe and CNC, I’d just put linear rails on some of the larger 8020 profiles and rig a spindle from a cartridge spindle. Honestly, though, an 8x16 lathe is kinda bare minimum for steel parts unless you are working VERY slowly. The 7x14 I had worked, but at that scale, I’d be working hard to implement a clough42 ELS conversion so that threading didn’t suck so bad.
If this is genuinely something you want advice/help with, feel free to email me.
100%
They were fine for what they were, but once you use a big tool you just can’t go back.
I think there is plenty of room for innovation in hobby machines, but IME, hobbiest value work envelope maybe even more than pros.
There’s some other threads in this discussion bemoaning the lack of diy machine builders…and, I am really unclear how this Sherline issue is related? To me, this is a question of value for money. Sherline products were always interesting, but also nowhere near competitive as machines. With controllers like masso and acorn available, converting a mill like a grizzly, precision Mathews or even a Bridgeport are just way more value for money.
The other end of the spectrum is tools like the Langmuir bed mill/router or the avid benchtop routers with available 4 pole spindles.
There’s a lot of options, closed loop steppers are sub $100, servos from DMM or teknic are readily available and awesome.
Sherline has a product set that just felt like a compromise on everything.
In the last decade, I’ve built 3 routers, rebuilt a bed mill, converted a Bridgeport, and am currently building an automated beam saw. All the options in the market are drastically better than they were 15 years ago.
It’s sad to see a fixture of the community going out of business, but it also a reflection that the business is different now. Given the many different kits and options available, it just doesn’t make sense to buy small work envelope machines for most people.
Where does this dust end up? Into the oceans? Because iron-rich dust entering the oceans helps create nutrition for algae which can absorb CO2
IMO it all comes down to the desire to have too my "copy" without enough to say. the people who generate it don't value their own output enough to try, which is a great way of intuiting that they have had the requirement to create copy delegated to them without them expecting that copy to be useful in any way.
In other words, "doneness" is the metric of quality for most of this stuff.
This is one of the great pleasures of cat ownership!
Yeah, that makes sense. I suppose the flip side of all of this is that neither OpenAI nor Anthropic have made a lot of money relative to their spending. Google is probably just trying to be more prudent. But, AI so far is a money spending contest, more than a money making one.
you are right. I guess what I was thinking was that google's bigness was essentially a bad capital allocation strategy, since they were lazy and not motivated by absolute return, but some combination of acceptable risk, politics, personal preferences, etc in a large management team that has seemed...disconnected for quite some time.
They have a structural advantage in cash flow and stability of funding, but stability is also a handicap when disruption is the objective.
Wouldn't this be a demonstration of the downsides of the anticompetitiveness of monopolies?
All the proposals I’ve seen would set the marginal tax rate on the 120 so high that his earnings would end up more like 40k from the 120k job and then he gets his 60. So, still some benefit to working, but a very progressive tax rate on higher earnings. Not sure I agree with this, but that is what I’ve seen.
But, have you any code that has been vetted and verified to see if this approach works? This whole Agentic code quality claim is an assertion, but where is the literal proof?
It registered in the low 40s for me, while my watch was saying 72-75. I guess YMMV
If you add baking powder and butter, that dark breakfast recipe is very close to crepes.
My crepe recipe - cook on medium heat pan:
Blend on low: 4 eggs- 3/4 cup whole milk, 1/2 stick of melted butter, and 1/4cup to 1/2 cup plain flower, 1 heaped tbsp of baking powder, 1/2 tsp salt, vanilla optional and to taste
And bought a house from
Epstein for $10
Great to see your name here, Zack. I think the problem with low-code is that its a catch all that spans between primarily data-storage-and-use work (Airtable, quick base, Filemaker, etc), the primarily app-alternative platforms (retool, Mendix, etc, and the ETL tools.
To me, AI changes the inflection points of build vs buy a bit for app platforms, but not as much for the other two. Ultimately, AI becomes a huge consumer of the data coming from impromptu databases, and becomes useful when it connects to other platforms (I think this is why there is so much excitement around n8n, but also why Salesforce bought informatica).
Maybe low-code as a category dies, but just because it is easier for LLMs to produce working code, doesn't make me any more willing to set up a runtime, environment, or other details of actually getting that code to run. I think there's still a big opportunity to make running the code nice and easy, and that opportunity gets bigger if the barriers to writing code come down.
People don't respect the salary premium software developers have received and expect relative to other creative, human endeavors.
You lay it out perfectly in your answer, and I'll add that the entire non-tech world generally feels that if tech jobs lose their shine due to AI, its actually a welcome reversion to the mean. Software has likely depressed wage growth in many other jobs.
That perfectly ties with my experience. Just direct prompts, with limited setup and limited context seem to work better or just as well as complex custom GPTs. There are not just diminishing, but inverting returns to complexity in GPTs
Graphically, I really like the way autodesk makes sketches in fusion 360 blue until they are fully constrained, and then they are black. My intuition here is that you could color code “degrees of freedom” and “locked” states so that it was more intuitive.
and, its so cheap. there are alternatives for individual components, but nothing that comes close to being this low cost. And, the ultimate value is that if you buy a niche tool (like notion) then only people with licenses can use it. Everybody at the company has office, so it's easy to share/collaborate. You have to really commit to avoiding office at all if you're going to replace parts of it.
0% NET accretive profit - the OP was saying that the invest/return wash doesn't affect prior profitability, just revenue. Obviously, the new profitability inclusive of the new revenue will actually by lower because of the zero margin wash trade.
I think he was getting at the fact that the Truth is not good news to everyone.
Welll, if you were good at drywall already, drywall patches would be faster and better. But if you are good at printing and scanning, and you enjoy that process, then it’s fine.
The challenge with the example is that “success” is personal preference. With plenty of examples, the success criteria are external.
My only addition to this discussion is that the Dirty Labs dish soap has been legitimately better for our baby stuff and other plastic stuff that sometimes gets oily. I recommend it.
And, for a refrigerator and a lot of loads, being down for 2 days straight is way worse than a few hours a year. losing 48 hours of supply a year if broken into 2 hour chunks is not nearly as bad as losing 48 consecutive hours.
I mean, even back in the OnStar days, you could "opt out" and cancel the service and it would track you anyway. With BYD or any other car maker, I'd be worried the SIM was a placebo.
and then the code to give it context. AFAIU, there is a lot of post training "setup" in the context and variables to get the trained model to "behave as we instruct it to"
Am I wrong about this?
my intuition is that over smoothish, but hilly terrain, mountain bikes fare very well, too, since you get to go downhill for free. once you end up in a talus field, I think it becomes clear that "efficiency" is gone for basically any creature on land.
I'll say, I recommend my Honeywell sync earmuffs for the workshop. They block more noise, have a physical volume knob and accessible buttons, and best of all, the microphone is also noise cancelling directly, meaning you can usually have a conversation with someone while using a power tool or mowing the lawn without much issue. APP2 or 3 for me has never been able to displace these.