This reads similar to a politician saying "I was hacked!" when embarrassing texts leak.
3,648 karma · joined March 1, 2011
https://news.adobe.com/news/2026/06/creators-toolkit-report-...
https://manuscriptreport.com/data/ai-publishing-statistics
The data disagrees.
It's a bit like people who complain that everything on the news is always bad. Everyone hates it, yet it's what everyone consumes.
In a system that is innocent before guilty, more accuracy favors the person.
This is yet another example of human confirmation bias leading to terrible outcomes for other humans. Our judgment is not so virtuous.
Now the question is whether being fallible is a feature. It seems like society is interested in keeping humans in the loop FOR the possibility of mistakes; makes it feel more authentic. Meanwhile, innocent people suffer.
But this video is a little suspicious. The fact that none of the 32 students bothered to even read the generated output feels strange. Or that those students didn't notice the extremely obvious white text at the bottom of the question when copy/pasting the assignment.
Combined with a TikTok account of a person who is clearly participating in the attention economy, I am skeptical.
Is there really much use in deconstructing a vibe coding process that was used before the term "vibe coding" existed? It's like critiquing a caveman's fire-starting routine.
> Meanwhile, the senior developers are in 2 camps. One half are using AI for absolutely everything but are slowly losing their ability to code. The other half are so sick of AI and are getting burnt out having to write prompts every day that they just don't want to do it anymore.
Again, this sounds like what developers were saying about AI a year ago. The refrain from the development world hasn't sounded like that for a while.
Have -any- of Anthropic's concerns of imminent disaster passed muster?
Almost all of Tao's questions begin with what, or why. That forces an open ended response, which is a great way to reduce or eliminate sycophancy and severe hallucinations. The less you steer, the more accurate it gets.
Being in the Bay Area, you can throw a stone and hit a senior employee of these companies, and they will happily gush about the quirks, policies, and intents inside. All the more reason that they are -not- qualified to weigh in on who gets the nuclear codes.
They know what they're doing. It's a playbook. You write scary stuff in the model card to make it look like legitimate whitepaper rEsEarCh, then drip-feed it to the media outlets who make it a headline story. Fear based marketing is the hot trend of the 2020s.
But also, they write literal headlines: https://www.anthropic.com/research/agentic-misalignment
Open source is cheap, yet its operating systems are the least-popular. But their existence is critical to a healthy market.
It's not zero sum.
What you're describing is how things become commoditized, but many companies are excellent at ensuring they aren't seen as commodities
> 4 days ago: 8M users
> 3 days ago: 9M users
That's some incredible growth.
Eventually "coding" will simply be prompting skill with the wisdom of architectural decisions.
That's also one way to describe what it's like to code with React et al these days, anyway. Component/hook selection skill with the wisdom of architectural decisions.
This has almost never been true. GPUs existed, and were being used, before the N64.
Your comment also begs the question that the console consumer has transitioned to a gaming pc. They haven't. Gaming PC sales (and hardware) are at all-time lows, except for GPUs, which should probably be renamed to Model Training Units.
I would posit that what we're seeing is a reflection of a content problem, not hardware. Video games have gone the way of Hollywood, with sequels and derivatives, and an uninterested consumer base. People would rather watch a YouTube video of someone playing a video game than play a video game.
Its basis is React, so the code output quality is much higher than Swift because there is much more React code in LLM training data.
Everything is in the command line, and debugging is a breeze because it's a web view. But once it's compiled to native iOS, it feels like any other native app.
Expo + Fastlane = fully automated iOS submission and deployment. I issue one command and see a new version in the App Store.
Sometimes there are no consequences
This is really begging the question. If something relies on the perception of a human, it has bias. The data (or lack thereof) used to train models is per se a bias.
The mistake is assuming bias-removal is some virtuous goal to be achieved. It can't, and shouldn't. Alignment, while equally impossible, is at least a goal worth aiming towards.
Based on this definition, yep, I've been vibe coding since 2023. The products were less sophisticated, and I was copying and pasting one function at a time, but it worked. More important: it was something I couldn't do on my own.
The modern version is that bonafide engineers accept AI-generated code. It's a good thing I'm not a bonafide engineer.