This line is classic :perfect.gif:

Comments URL: https://news.ycombinator.com/item?id=47801431

Points: 12

# Comments: 17

May we all find the same joy in doing whatever we do

2020: https://news.ycombinator.com/item?id=25390967

2022: https://news.ycombinator.com/item?id=34006718

2023: https://news.ycombinator.com/item?id=37724795

2025: https://news.ycombinator.com/item?id=45981276

Comments URL: https://news.ycombinator.com/item?id=47785804

Points: 1

# Comments: 1

Autonomous HW is harder

Comments URL: https://news.ycombinator.com/item?id=47785767

Points: 1

# Comments: 4

I'd like to see one with cockney accent, just for lulz

Comments URL: https://news.ycombinator.com/item?id=47782610

Points: 18

# Comments: 5

"Recent advances in video generation enable a new paradigm for 3D scene creation: generating camera-controlled videos that simulate scene walkthroughs, then lifting them to 3D via feed-forward reconstruction techniques. This generative reconstruction approach combines the visual fidelity and creative capacity of video models with 3D outputs ready for real-time rendering and simulation. Scaling to large, complex environments requires 3D-consistent video generation over long camera trajectories with large viewpoint changes and location revisits, a setting where current video models degrade quickly. Existing methods for long-horizon generation are fundamentally limited by two forms of degradation: spatial forgetting and temporal drifting. As exploration proceeds, previously observed regions fall outside the model's temporal context, forcing the model to hallucinate structures when revisited. Meanwhile, autoregressive generation accumulates small synthesis errors over time, gradually distorting scene appearance and geometry. We present Lyra 2.0, a framework for generating persistent, explorable 3D worlds at scale. To address spatial forgetting, we maintain per-frame 3D geometry and use it solely for information routing -- retrieving relevant past frames and establishing dense correspondences with the target viewpoints -- while relying on the generative prior for appearance synthesis. To address temporal drifting, we train with self-augmented histories that expose the model to its own degraded outputs, teaching it to correct drift rather than propagate it. Together, these enable substantially longer and 3D-consistent video trajectories, which we leverage to fine-tune feed-forward reconstruction models that reliably recover high-quality 3D scenes."

Comments URL: https://news.ycombinator.com/item?id=47782530

Points: 5

# Comments: 2

This is the height of ridiculousness.

I guess if there are "second chances" in American capitalism (and 3rd, 4th, 5th,...) then literally any pivot makes sense ¯\_(ツ)_/¯

I guess then nobody should complain that everybody and their grandmas pivot to doing vibe coding, either. And if they produce AI slop, so be it...

As others have noted, this is like the crypto pivot that many companies did a few years ago

He's one (small) step from distinguished engineer, with 20+ patents to his name, and is an embedded programmer (largely C/C++) with 30+ years of experience in the field; and I've known him for nearly as long, so I put a lot of credence to his words.

But we don't usually talk work; he's the guitarist in our band :) [I'm the bass] So we mainly chill over music + beer. And lately, it's been less chill ¯\_(ツ)_/¯

Just the past weekend, I was talking with a very senior engineer (~distinguished engineer at a very large tech co) who basically said he's working 8-8-6 (8 am - 8 pm, 6 days/week), "writing code" (more like supervising 8-15 agents) for a product demo in 2 weeks, which otherwise would have taken at least 1 quarter's worth of time with a small team. He's zonked out, fwiw. There are no junior engineers in the team ¯\_(ツ)_/¯, most having been laid off a few months ago.

The toll it takes, and the expectations of AI-driven productivity, have only increased dramatically. At some point, the reality will hit the remaining engg team. Not sure if the company or its leadership realizes, but so far, it's all-AI, all-the-time, human cost of productivity be damned.

Comments URL: https://news.ycombinator.com/item?id=47758120

Points: 5

# Comments: 2

- The default vis has very low contrast (despite changing theme colors).. perhaps make the contrast stronger. I find this is the case with most AI-driven websites :-/ Same for some of the standard text ("family lineage", "group connections, etc)

- Pls cite the sources. That would be useful / important

- The dynasty tree looks useful... But is it incomplete? Or is only the visualization capped at some limit?

- Wasn't sure what the "Sections" dropdown on the left does

The challenge for sure is about the sheer number of characters, the number of years/decades in these epics, the complexity.

Would love to see some references, perhaps with quotes in Sankskrit / transliterated to English, at key points. [yes, this is challenging, no doubt]

Hope this is useful