I'm not sure what your point is. How is "being exposed to X's current user base instead of their old followers" not equivalent to "turning on the feed algorithm"? You doubt the effect is due to the algorithm, but your alternative explanation describes exactly what the algorithm does.
This is the thing a lot of skeptics aren't grappling with. Software engineering as a profession is mostly about building software that can operate at scale. If you remove scale from the equation then you can remove a massive chunk of the complexity required to build useful software.
There are a ton of recipe management apps out there, and all of them are more complex than I really need. They have to be, because other people looking for recipe management software have different needs and priorities. So I just vibe coded my own recipe management app in an afternoon that does exactly what I want and nothing more. I'm sure it would crash and burn if I ever tried to launch it at scale, but I don't have to care about that.
If I was in the SaaS business I would be extremely worried about the democratization of bespoke software.
Tools for the non-professional developer to put their skills on wheels have always been part of the equation since we've had microcomputers if not minicomputer, see
But they’ve always basically required that you essentially become a programmer at the end of the day in order to get those benefits. The spreadsheet is probably the largest intruder in this ecosystem, but that’s only the case. If you don’t think that operating a spreadsheet is programming. It is.
What people are describing is that Normies can now do the kinds of things that only wizards with PERL could do in the 90s. The sorts of things that were always technically possible with computers if you were a very specific kind of person are now possible with computers for everyone else.
Languages like BASIC and Python have always been useful to people for whom programming is a part-time thing. Sure you have to learn something but it is not like learning assembly or C++.
On the other hand, it is notorious that people who don't know anything about programming can accomplish a little bit with LLM tools and then they get stuck.
It's part of what is so irksome about the slop blog posts about AI coding that HN is saturated with now. If you've accomplished something with AI coding it is because of: (1) your familiarity with the domain you're working in and (2) your general knowledge about how programming environments work. With (1) and (2) you can recognize the different between a real solution and a false solution and close the gap when something "almost works". Without it, you're going to go around in circles at best. People are blogging as if their experience with prompting or their unscientific experiments about this model and that model were valuable but they're not, (1) and (2) are valuable, anything specific about AI coding 2026-02-18 will be half-obsolete on 2026-02-19; so of course they face indifference.
I think even BASIC and Python don’t get out of “programming”. Nether did SQL. They’re friendlier interfaces to programming but the real barrier is still understanding the model of computation PLUS understanding the quirks of the language (often quite hard to separate for a newbie!). I think professional programmers think that Python or JS is somehow magically more accessible because it’s not something nasty like C++, but that’s not really a widely shared or easily justified opinion.
Also who cares if someone gets going with an LLM and gets stuck? Not like that’s new! GitHub is littered with projects made by real programmers that got stuck well before any real functionality. The advantage of getting stuck with a frontier code agent is you can get unstuck. But again, who cares?! It’s not like folks who could program were really famous for extending grace and knowledge to those who couldn’t, so it’s unlikely some rando getting stuck is something that impacts you.
I don’t know what slop blog stuff you’re talking about. I think you should take some time to read people who have made this stuff work; it’s less magic than you might think, just hard work.
The basic skill behind programming is thinking systematically. That's different from, say, knowing what exactly IEEE floats are or how to win arguments with the borrow checker in Rust. Languages like Python and BASIC really do enable the non-professional programmer who can do simple things and not have to take classes on data structures and algorithms, compilers and stuff.
People who get stuck fail to realize their goals, waste their time, and will eventually give up on using these tools.
But seriously, think about, people had basically the same brains 20,000 years ago and there were dyslexic people back then too but it didn't matter because there wasn't anything to read. Today computers reward the ability to think and punish reacting to vibes yet natural selection is a slow process.
This is the common pitch, right down to recommending CP Snow.
It’s also horse-apples. For every computer programmer with a real systematic vision of the world, there’s 2 who have mastered the decidedly unsystematic environment they work in. This is because lots of business problems depend on knowing how IEEE floats work and arguing with eg the borrow checker in rust. Perhaps more than depend on systematics. Either way, a lot.
Even if we accept that real programming is systematic/logical and not about adapting to an environment, it sure as hell doesn’t present itself that way to users! The entire history of computing is serious engineers being frustrated that the machines they work with don’t allow them to speak in a language they consider logical and elegant. Even the example “non-professional” programming languages (or programming languages suitable for non-professional programmers) arose out of intentional design toward user adoption. I’m not saying that made them alike to agents. I’m saying that it’s REAL CLEAR that the coupling between what the user needs to do and the orderly logic of computation is fuzzy at best.
Can you explain this appearance of Osage oranges to me? (Sounds like a meme I'm not familiar with?) Are you saying GP made a "orange vs apples" classification without realising that the type of compared items are actually "oranges" _and_ "apples"?
A lot of people don’t care about software other than the fact that the ones they use work well. They don’t want to create it, to maintain it, or to upgrade it. That’s what the IT department is for.
This seems like a big HN / VC bubble thing thinking that average people are interested in software at all... they really aren't.
People want to open Netflix / YT / TikTok, open instagram, scroll reddit, take pictures, order stuff online, etc. Then professionals in fields want to read / write emails, open drawings, CADs, do tax returns, etc.
If anything overall interest in software seems to be going down for the average person compared to 2010s. I feel like most of the above normal people are going to stop using in favor of LLMs. LLMs certainly do compete with Googling for regular people though and writing emails.
I can just look at my front porch to see if there's a solar panel there, or failing that I can click a single button on my phone and search "solar" on my gmail and find out where my solar panel is. Having an agent do that for me saves me like... 5 seconds?
Sure. I am (literally) currently feeding a newborn, my house is a diaster zone, and it's raining. DHL just changed my delivery date from today, to the 19th so maybe it will arrive today, maybe it won't. I haven't slept more than 4 hours in 3 days so getting an answer via voice memo seems pretty nice right now.
It likely won't matter much in the end, but I do think this could be a significant mistake for OpenAI.
OpenAI has two real competitors: Anthropic in the enterprise space and Google in the consumer space. Google fell far behind early on and ceded a lot of important market share to ChatGPT. They're catching up, but the runaway success of ChatGPT provides OpenAI with a huge runway among consumers.
In the enterprise space, OpenAI's partnership with Microsoft has been a gold mine. Every company on the planet has a deep relationship with Microsoft, so being able to say "hey just add this to your Microsoft plan" has been huge for OpenAI.
The thing about enterprise is the stakes are high. Every time OpenAI signals that they're not taking AI safety seriously, Anthropic pops another bottle of champagne. This is one of those moments.
Again, I doubt it matters much either way, but if OpenAI does end up blowing up, decisions like this will be in the large pile of reasons why.
This take is imo very contrarian. Is Anthropic really popping champagne? They kind of look like the bad guys in this entire saga. If not the bad guys the enemy of fun and open source builders.
"popping champagne" is a figure of speech (perhaps hyperbole, or an idiom) meant to express not the literal act of "really popping champagne", but instead reaping the benefits of a seemingly poorly calculated business move by the other guys.
Claiming Dario is the bad guy in any context is kind of a tough characterization to agree with, if even a fraction of one interview with him has been seen.
To stay on point though: OpenAI hiring OpenClaw creator does seem to lean away from a serious enterprise benefit and towards a more consumer-based tack, which is a curious business move considering the original comments perspective of OpenAI.
Yes I understand what an idiom is jfc. OpenAI was never the enterprise focused company to start and besides they can walk and chew gum. There’s another idiom for you.
A grocery list app is the perfect example of the kind of thing that AI will make obsolete. Why would I pay $5/month for a list app when I can pay Claude $0.30 one time to make it for me?
I in fact did just that. I used Claude to reverse engineer my grocery store's API and build a grocery list app that automatically pulls in the aisle information for each item and sorts it by how I typically walk through the store. It's the kind of thing that would be incredibly difficult to scale but works just fine when you only have one user. No SaaS grocery app can hope to compete with me being able to tailor my own shopping list app to my exact preferences.
Your grocery store has a free API you can use? Even if that is the case, that will then soon change. If app building becomes "free" then the cost will shift over to the data access.
That is exactly the type of awesome app that can now be built. I edited my comment to clarify that the grocery app and $5/month app are separate examples, but I think your example shows that someone with coding knowledge can build something extremely useful for n=1 users which I fully support.
I just don’t think most people will end up doing that just like how most people don’t 3D print their own desk drawer organizers even when Gridfinity does all the work for you. Automation doesn’t fully replace the volition to build a thing and make tricky decisions that are familiar to us software engineers but not others.
Doesn't really pass the sniff test. Why would you need a 10 day closure to deal with a drone incursion?
I'm guessing DoD and the FAA were squabbling over a test the military wanted to run, and it didn't go up the chain fast enough to get resolved before testing was scheduled to begin.
Edit: Here's the actual notice from the FAA[1]. Note that it was issued at 0332 UTC, but the restrictions weren't scheduled to go into place until 0630 UTC. Either the FAA is clairvoyant, or Sean Duffy is lying.
Recent updates say this was a unilateral call by FAA because DOD was refusing to coordinate with them for creating safety corridors for DOD drones and/or HEW usage. Issues came to a head after DOD shot down a highly threatening mylar party balloon, which FAA evidently considered to be a somewhat reckless use of military weaponry in a US city's airspace.
> Recent updates say this was a unilateral call by FAA because DOD was refusing to coordinate with them for creating safety corridors for DOD drones and/or HEW usage.
This is the first explanation I've seen that fits the odd facts perfectly. This is the kind of thing that happens when two regional bureaucracies collide. The FAA has long-standing mechanisms for coordinating military use of airspace with commercial and civilian flight operations.
But instead of the usual DEA border interdiction, the administration is now tasking the military to drive this. Military commanders on a new high-priority mission to intercept drones which can attempt to cross the border anytime and anywhere realized coordinating with the FAA would require committing to active corridors and time windows in advance, limiting their mission success and resisted. The FAA realized that could lead to lots of last minute airspace restrictions, flight cancellations and increased risk of a mistake resulting in downing a civilian flight.
The regional FAA administrators responsible for flight safety around El Paso decided to escalate the dispute by simply shutting down all civilian flights, knowing that would get immediate national attention. It was an extreme action but one that's within their purview if they can't guarantee the safety of the airspace. I'm sure they expected it would put political pressure on the military to limit operations and it worked. In a sense, it also helps the military commanders because being ordered to accept FAA operational limitations gives them cover if it reduces their mission effectiveness below what they'd promised. That's probably why the military wouldn't agree on their own without it being ordered from above. They're the ones responsible for deploying expensive new anti-drone tech in field ops for the first time. Future budgets and careers are on the line.
Update: DoD’s pushing back on the story, saying that Border Patrol and ICE were the agencies using high-energy weaponry to shoot down party balloons, much to the consternation of NORTHCOM.
> The Pentagon allowed U.S. Customs and Border Protection to use an anti-drone laser earlier this week, leading the Federal Aviation Administration to suddenly close the airspace over El Paso, Texas, on Wednesday, according to two people familiar with the situation who spoke on the condition of anonymity to discuss sensitive details.
FAA ought to be drowning Kegseth’s DoD in bureaucracy at every possible opportunity, after the massacre over the Potomac River a year ago. They deserve no leniency whatsoever.
Charitably guessing that if they don't know how long they'll need to keep airspace closed then you give yourself plenty of time and rescind early if necessary, as opposed to continually issuing extensions which could cause confusion.
They don't have a mechanism for doing that. A military base near me has had continuous flight restrictions for decades. Each notice lasts a few months (e.g. https://tfr.faa.gov/tfr3/?page=detail_5_8746) and before it expires they issue a new one.
I think the point was to get headlines and attention, as someone else said it sounds like the FAA is frustrated that the DoD isn't cooperating, and this seems like a possible attempt to make this frustration public to pressure DoD into playing more nicely.
This is OpSec 101. Making the public closure too "tight" around the operational timeline could (negligently) leak operational details. You can always cancel a closure later.
The answer is "long enough to avoid giving away operational details," not some robotically applied constant multiplier like 10x.
We also don't know whether they expected this to take 1 day or more. Just because it worked out quickly doesn't mean that's the "worst case" operational timeline.
> FAA Administrator Bryan Bedford on Tuesday night decided to close the airspace — without alerting White House, Pentagon or Homeland Security officials, sources said.
In the meantime, the politician responsible of course made up a quick lie and yall ran with it, fantasizing about cartel MANPADs:
> Transportation Secretary Sean Duffy said in a statement, "The FAA and DOW acted swiftly to address a cartel drone incursion."
It is a bit mind boggling how behind they were considering they invented transformers and were also sitting on the best set of training data in the world, but they've caught up quite a bit. They still lag behind in coding, but I've found Gemini to be pretty good at more general knowledge tasks. Flash 3 in particular is much better than anything of comparable price and speed from OpenAI or Anthropic.
It's not an error, Gemini 3 Pro is just somehow able to complete the benchmark while using way fewer tokens than any other model. Gemini 3 Flash is way cheaper per token, but it also tends to generate a ton of reasoning tokens to get to its answer.
They have a similar chart that compares results across all their benchmarks vs. cost and 3 Flash is about half as expensive as 3 Pro there despite being four times cheaper per token.
I had to use it for a while when I was unable to touch a keyboard or mouse while recovering from RSI and I was surprised by how quickly I was able to get to about 80% of my previous productivity using just my voice. I still use it sometimes even though my RSI is fully healed.
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