u/Ok-Ask1962

Two papers dropped this week. Both about AI systems that run experiments autonomously.

I keep thinking about what this actually means at scale. We're not talking about AI helping researchers find papers faster or organize data. These are systems that form hypotheses, design experiments, and iterate on findings without waiting for a human to approve each step. The whole loop just runs. And the estimates people are throwing around, something like a hundred to a thousand times faster than current research timelines, sound insane until you realize the bottleneck was always human bandwidth, not compute.

The part that gets me is how quiet this landed. Two major papers, barely any mainstream coverage.

I work adjacent to biotech and the implications for drug discovery alone are staggering. If even a fraction of that speedup holds in practice, the next five years look nothing like the last fifty.

Guess we'll find out soon enough.

About six months ago our engineering director got really into the idea of going all in on AI assisted development. New tooling budget, new processes, the whole thing. We were a team of around 12 at the time.

It went sideways pretty fast.

The junior devs started shipping code that looked right on the surface but fell apart under any real load. Not their fault honestly, the suggestions they were getting were confident and wrong in ways that took senior people hours to untangle. We had one incident where a generated function passed every test we had and then corrupted data in staging for two days before anyone noticed. That was a fun Thursday.

Then there was the cost. I dont have exact numbers because finance handles that but our lead mentioned we were burning through something like a couple thousand a month just on API calls and seat licenses for tools half the team stopped using after week three. Nobody wanted to admit it wasn't working because the director had staked his credibility on it.

The worst part was morale. Our two best senior engineers started getting frustrated. One of them told me over coffee that she felt like her job had become babysitting autocomplete. She left about two months later, took a role somewhere smaller. The other one is still here but he's checked out, you can tell.

We eventually just stopped talking about it. No big announcement, no retro, no lessons learned doc. People just quietly went back to writing code the normal way. The tooling is still technically available but I dont think anyone has opened it in weeks.

I'm not saying AI is useless for coding. I use it myself for boilerplate stuff and its fine for that. But the gap between what the industry is selling and what actually happens when a real team tries to adopt it across the board is massive. The productivity gains we were promised never showed up. What showed up was more review cycles, more confusion, more turnover.

Has anyone else just quietly given up on the big AI transformation at work? Or are we the only ones who couldnt make it stick?