davidjade

Huh, it is different for me on every page refresh. No VPN, etc... just Firefox on Windows with uBlock, CanvasBlocker, and a PiHole. No persistent fingerprint for me!

Wait until you hear about Ice Worms

https://en.wikipedia.org/wiki/Ice_worm

Sometimes I wonder if I am in a bubble. This has not been my experience at all. A few examples:

We have a sailboat and it has a turbo diesel engine, which is unusual (for a sailboat). Purely mechanical and I understand small diesel engines pretty well. But when we had loss of power and a change in exhaust and it could have been about 4 different things. Based on an array symptoms ChatGPT worked through a few tests for me to do and narrowed it down. It had a consistent and good methodology for working through this.

I am planning a large solar array for our boat. It is challenging because it is a 48v system and that has certain requirements. We have to use an array of smaller panels wired together in groups to get the right voltages. I also have partial shading issues to work out. But there are a lot of other variables too that have to be accounted for. It worked through all this well and came up with a great plan, pointing out things that were not hard to verify but things I did not initially think of. I am pretty knowledgeable about electrical stuff as well and it did not get anything wrong.

Another example is I want to come up with a way to identify a user for a system based on 5 things they could remember. Not facts, things. But how do you make a system that someone can remember (without writing down) 5 things, 5 years from now. ChatGPT came up with a good idea using memory chains that would make it easier for a person to remember.

All of these were insightful conversations that I had with ChatGPT Sol medium effort.

I also find that for answering questions that require some thinking (like how does xyz work) my default is becoming ChatGPT vs Google more and more.

When these tools were set up, on every code change you had to run these tools and deal with the output of anything it thought was a memory bug - part of the dev cycle before you could commit your code.

Did you have to scan the code looking for memory bug yourself with your eyeballs too? Yes, at every code check in you went through a paired peer code review before checking code in no matter your dev level. So two sets of eyeballs would look at every change.

So yes, we had to look for bugs in multiple ways no matter the type of bug on every single code change.

Then the testers would run all these tools and look at the output too (I was there when each org still had SDE Testers).

Did bugs still get missed? Of course, just like today even with today's new tools.

And I can assure you that there were a number of MS research developed tools for finding memory bugs that have been used for decades at MS. There was never a don’t look / don’t fix policy while I was there. Quite the contrary.

I stumbled into this same workflow idea. I hadn't really used anything other that Chat GPT Sol (medium) and when I wanted to start using code agents, I just asked GPT how to start. This evolved into having GPT do the brainstorming and writing the initial prompt for a project feature/change to hand over to Codex working in Sol light mode. These prompts where often a couple pages long as they had a lot of the architecture details worked out already. Codex would then come up with a plan and I'd take that back to GPT to review. GPT would make some suggestions, which I'd throw back to the agent and off it went.

I got super great results working this way. Maybe there is a better way to integrate the two modes though. But my first real project was end-to-end 100% working correctly from the first run - about 10,000 lines (including tests) of greenfield code. I did have it work in manageable chunks that I could easily review - not one-shotting the whole thing.

Now I'm thinking about plugging Deepseek into Codex to be the coding model and see how it goes.

That’s also probably why when publishing apps to app stores you have to attest to the forms of encryption your app uses.

Except the steel armature inside can turn to hidden rust and if you do something and crack the ferro hull they can be a total loss. A lot were home built so finding a quality build is another issue.

There’s a reason insurance won’t touch them.

Project source is here: https://github.com/yogthos/chiasmus

I wrote software for a company that did legal forms on a PC - used by those same users that mastered WordPerfect for DOS. Those users typically had lower powered PCs even as Windows was slowly gaining traction in the market. Lawyers were slow to upgrade to more powerful PCs when WordPerfect for DOS was their main use. I pitched that Windows was the future but my boss at the time, rightly so, argued that those users could not adopt it on the hardware they typically used.

The compromise was I developed the new software as Windows 3.0 apps and used a text-based rendering compatibility layer called Mewel that implemented the Windows API in text mode for single DOS applications. A few #ifdefs and I could compile for both Win16 and DOS Text mode. This not only allowed me to develop under Windows using the superior at the time Borland compilers, it gave the company a solid footing when the legal world finally came around and wanted Windows software - we had it finished already. Sales slowly transitioned to the Windows version and then it really took off around Windows 3.11 (Windows for Workgroups).

That company was later bought by Pitney Bowes because they were the only company with Windows compatible legal forms software for Windows. Performa (or was it Proforma - I can't remember) was the name of the software.

I was just there this week and it has of course changed a lot. I was also there in either 73 or 74 as a kid - the visitor center has also grown a lot since then.

Well worth the visit (and you really need two days to see everything - we spent 10 hrs and felt rushed and saw only about 75%). Even with the Disney-ified aspects (a few movie rides/experiences and kids activities), it still seems a lot like a museum experience. The artifacts are amazing (like standing under a Saturn V, seeing equipment from the American first space walk, and then walking on the original (relocated) launch tower footbridge that the Apollo 11 astronauts used).

The three astronaut memorials were a bit of an emotional to see in person - pieces of Apollo 1, Challenger, and Columbia as well as tributes to all those who have sacrificed their lives in this pursuit.

I was recently in a friend’s Tesla model 3 for the first time and all the buttons on the doors simply had a dash “-“ on them. No information about what they were for at all. Same dash for opening the windows and the opening the door. But no indication of which was which.

Having witnessed a large commercial ship going 15 kts run over a smaller 30 foot sailboat I can assure you it was not “pushed aside” unless by aside you mean pushed under.

Here's what they just got caught doing on Android - "secretly communicating with Meta’s apps on Android devices"

https://www.eff.org/deeplinks/2025/06/protect-yourself-metas...

Except, what happens when apps get removed from the iOS App Store and moved to another store for distribution? If people want to continue or need to use those apps then they would have to use these other app stores.

What if those apps moved to other stores so they can skirt Apple's review and other consumer-friendly restrictions? How is that better for consumers that use Facebook, Insta, etc... for them to have apps with less review and less scrutinized for their behavior? Some of Apples policies have been good for consumers of apps.

Just witness how Fb, etc... already try and skirt those rules that are in place to protect users from tracking and other abuses. Seems pretty logical to assume they would all jump ship to another store to not be under Apple's review process if they could.

I don't doubt for one minute that Fb, etc.. would not jump to another store with less restrictions, and either pull their existing apps or leave them severely restricted in the Apple App Store as an "incentive" to download from the other store.

I have a pretty vivid memory of reading an article in the late 70’s or 80’s in a computer magazine (BYTE?) of a hardware/software project to digitize piano rolls. They were digitizing original Gershwin (he created a lot of piano rolls) and discovering new things about the way he played. I’ve search and searched but cannot find that article anywhere.

Anecdotal I know but my app converts from free trials at 4x iOS vs Android. Has done so for years and years. Same app, same price, same audience (North American boaters). Similar free trial numbers too.

Niche app that sells at a higher price than your average app. Ie my users have disposable income but the Android users don’t like to pay for higher priced apps like iOS users will.

For better or worst, Fb has become the de facto place for cruising sailors to share information about different regions of the world. Tips, alerts, advice, questions, etc. I sail the world and there is no other place for groups quite as good for finding the information we need. There’s a niche group for every area around the world full of people sharing advice and answering questions. The good groups have great moderation and quality content.

I recently searched for LFP bikes and found basically none.

Would love to have one though as keeping one on a boat I would only feel safe with a high quality LFP at the capacity needed.

I really like this and I think it is off to a good start. But I also think there will be interesting/hard corner cases (such as offline/reparse point files - I logged a request for that in Discord).

I don't think it needs to cover every special case but that's because I don't really want to use it to be a Explorer replacement. I see it rather as a supplemental tool.

There is a successor project as well: https://github.com/SpinalHDL/VexiiRiscv

This is an idea that I’ve long wanted to explore. It’s along the lines of using the GEFS weather model, where the standard deviation model output parameter can be used to predict how settled a model run is.

Anything you can share? I would love to play with this, although my interest is in marine weather forecasts.

Fun fact: the DOS version of the Cakewalk music software in the late 80's had a scripting language (CAL) that was very loosely based on Lisp. The author (Greg Hendershott) later went on to write a lot about Lisp.

That would be good. Easy enough to filter Intel vs AMD that way as well as a particular CPU.

Cool. It would be great to be able to filter Intel vs AMD. Or perhaps even by processor family.

There is also Uno

https://platform.uno/

And where were these rebranded Sumo's? We only saw Sumo's this year for $4-5/lb nearly everywhere we looked. Were these rebranded things really Sumo's or did they just look like Sumo's.

I did see something that looked like a Sumo call a 'dekopon' citrus at major grocers on the east coast, but they were maybe $1/lb cheaper as best and not as good or large as one with a Sumo sticker. They were more tart and not as an intense flavor.

It's my understanding that the variety has existed for a long time in Japan and Sumo is just one specific branded citrus sub-variety from California.