There’s something like four thousand species of bees native to North America [1], so while there are lots of reasons to be unenthusiastic about honey bees [2], that still leaves lots of room for bee related enthusiasm :)
I mean, I would assume most folks who liked the SE still have one. The SE 3 just stopped production this year and should have several years of software updates left (the SE 1 just ended software support this year, 7 years after it was discontinued.
For anyone else who read this headline and thought that seemed unremarkable since gold does tend to slowly increase in value year over year meaning it’s almost always at or near its all time high - it’s up 43% over the past year.
Just opened the App Store to check. There’s an ad for chrome on the home screen. I click search and before I start typing search suggestions pop up. The first one is for chrome. I type Firefox and click search. The first result is chrome.
At least it's always only one ad, but on the other hand it takes up half the screen. Plus the title is the name of the app, not "Firefox". Really, the bar is not very high for ads
The worst thing about it is that it looks exactly like a regular app listing, too. The only indication that it's an ad is a tiny "ad" icon - a pale blue square with slightly paler blue text. And that icon isn't even next to the (large and visible) app name, it's next to the (small and greyed out) tagline.
Yeah, if you peel off Trump's name, the insane branding, and the fact that this seems to have been implemented completely extra-legally, I don't hate it.
The "extra-legally" part is not at all clear. When this goes to court (and I'm sure it will), the administration's argument will probably go something like this: Congress has authorized the administration to issue visas to people of "exceptional ability in business" -- see 8 U.S.C. § 1153(b)(2), for example. However, Congress did not specify how, exactly, the executive will ascertain that ability. The Trump administration believes that making a one million dollar investment in the U.S. demonstrates evidence of business ability, and is using this as a factor for issuing and prioritizing visas.
Yeah, UBO and Sponsor Block are still working for me but if they stop I’ll be gone. I haven’t browsed Reddit since I switched to iOS and lost access to RedReader.
I grew up in a part of the US that was “settled” in the mid 19th century. The absolute oldest buildings are just now approaching 200 years old and there aren’t many of those even. From that perspective it’s astonishing to be able to see the work of someone’s hands from so long ago. Obviously there were native Americans here long before European settlement, but evidence of their presence has been so thoroughly erased that it feels like everything you see sprung up in the last century. Even our forests are new, as pretty much the entire state was clear cut by the start of the 20th century.
> Obviously there were native Americans here long before European settlement, but evidence of their presence has been so thoroughly erased
Most of what the native Americans built would be erased by now anyway. They mostly didn't build with stone or metals, but with wood that rots. Most European castles were built out of wood and there is not trace remaining other than town archives (if that) even though no deliberate effort was made to erase them.
Not to excuse the deliberate eraser of history, it happened and is bad. However don't get the wrong impression either, most wasn't deliberate history erasing. Most of it was natural decay, followed by this useless bit is in the way of progress - the natives did exactly the same thing to their old worn out structures.
I live in wiltshire, in the UK. There are lots of ancient hill forts. They were originally terraced earth + wooden pallisades + wood/mud buildings. All the wooden structures have long since decayed, but the earth structures still remain, if somewhat eroded. I guess there isn't much in the way of hills on the American plains though.
America is a lot bigger than the uk - it extends across the whole continent. so all gereraizations are false on some level. There are places where the natives left hills (mound buildres). However in general they were not building that way: wood is a lot easier to build withe than earth and usually good enough.
> Where AI-agents are the most useful for us is with legacy code
I’d love to hear more about your workflow and the code base you’re working in. I have access to Amazon Q (which it looks like is using Claude Sonnet 4 behind the scenes) through work, and while I found it very useful for Greenfield projects, I’ve really struggled using it to work on our older code bases. These are all single file 20,000 to 100,000 line C modules with lots of global variables and most of the logic plus 25 years of changes dumped into a few long functions. It’s hard to navigate for a human, but seems to completely overwhelm Q’s context window.
Do other Agents handle this sort of scenario better, or are there tricks to making things more manageable? Obviously re-factoring to break everything up into smaller files and smaller functions would be great, but that’s just the sort of project that I want to be able to use the AI for.
We use co-pilot through our azure license in VSC. My personal workflow is that I'll write a VIBE.md with very specific information on what I want and what I rexpect. Then in the actual code file I'll add a comment like "COPILOT: this is where I want you to do X". I'll then grant the agent access to the necessary files for the context. With big files it gets trickier because the prediction engine fails to distinguish between relevant and irrelevant context. I have the most success with incremental changes where the agent has to do one task at a time, and you can outline that in the VIBE.md + the comments where you add "COPILOT: This is step X...". In my coordinate example it actually had to change quite a lot of things, but that is still what I consider one task.
Context size matters a lot in my experience, but I'm not sure if it matters whether your 100k lines are in a single or multiple files. I tend to cut down what I feed the agent to the actual context, so if I have a 100k line file, but only 3000 lines matter, then I'll only feed those 3000 lines to the AI. Even in a couple of small files with maybe 200 lines of code in total, I'll only give the AI access to the 40 line which is the context it needs to work on.
English isn't my first language, so when I say context, what I mean is everything which is related to the change I want the agent to do. I will use SQLC as an example. Even though I feed the AI the Go model generated, I'll also give it access to the raw SQL file.
> Obviously re-factoring to break everything up into smaller files and smaller functions would be great, but that’s just the sort of project that I want to be able to use the AI for.
I'm guessing here, but I think part of our success is also our YAGNI approach. AI seem to have an easier time with something like Go where everything is explicit, everything is functions and Go modules live in isolation. Similarily AI will do much better with Python that is build with dataclasses and functions, and struggle with Python that is build upon more traditional OOP hierarchies. We've also had very little success with agents on C#. I have no idea whether that is because of C#'s inherrent implicity and "black magic" or because of the .net > .net core > .net framework > .net + whatever I forgot journey confusing the prediction engine.
> Do other Agents handle this sort of scenario better
I don't know. I've only used the sanctioned co-pilot agent professionally. I believe that is a GPT-4 model, but I'm not exactly sure on the details. For personal projects I use both the free version of GPT-4 in co-pilot and Claude Sonnet 4, and I haven't noticed much of a difference, but I have no hobby projects which are compareable.
[1] https://www.usgs.gov/faqs/what-role-native-bees-united-state...
[2] https://www.scientificamerican.com/article/the-problem-with-...