Hacker News: calcifer

New comment by calcifer in "The worst job interview I ever had"

calcifer — Wed, 27 May 2026 08:16:54 +0000

Which protected characteristic does "personal relationships" fall under? It's vague enough to mean almost anything you want it to be, and I struggle to imagine any sort of successful prosecution.

New comment by calcifer in "How should we think about Starship?"

calcifer — Wed, 27 May 2026 07:51:45 +0000

Excellent article. I'm sad that SpaceX effectively seem to have given up on Mars, but even their much less ambitious "orbital trucking" business seems unrealistic. From the article:

> Finally, there is the launch cadence SpaceX actually targets in their S-1, a million metric tons a year to Earth orbit. That frankly preposterous figure implies 25-30 Starship launches a day, with the exact number contingent on how much payload the final version of the rocket can carry.

> Launching Starship on the hour would also mean permanent no-fly zones for aircraft and a likely environmental backlash against SpaceX, who would be putting significant amounts of water vapor in the stratosphere. Overnight the company would become one of the country’s biggest consumers of methane, electric power, and liquid oxygen. And since a failure rate of 1/200 at this cadence would have Starships falling out of the sky every week, the rocket would have to improve in reliability by at least two orders of magnitude.

> However much you may love SpaceX, there is no number of bong rips that makes this scenario feel real. It’s in the S-1 is to try to prop up the company’s astronomical valuation, but the sooner we can all move past it, the better.

It's hard to disagree with any of that, but I'm sure someone will, just like with datacenters in space.

New comment by calcifer in "Why the smart home bubble popped"

calcifer — Tue, 26 May 2026 06:21:39 +0000

None of the problems put forward by the article are protocol related, so I'm not sure why you think Matter would/could change it.

AMD's New Ryzen AI Max Pro 400 with 192GB LPDDR5X Memory

calcifer — Thu, 21 May 2026 09:40:14 +0000

Article URL: https://www.servethehome.com/amd-reveals-ryzen-ai-max-pro-400-series-192gb-ram-for-ai-systems/

Comments URL: https://news.ycombinator.com/item?id=48220054

Points: 4

# Comments: 0

Twelve Ways to Be Wrong About AI-Assisted Coding

calcifer — Thu, 21 May 2026 08:24:42 +0000

Article URL: https://third-bit.com/2026/05/20/twelve-ways-to-be-wrong/

Comments URL: https://news.ycombinator.com/item?id=48219481

Points: 5

# Comments: 0

New comment by calcifer in "Just Use Go"

calcifer — Sat, 09 May 2026 06:53:29 +0000

That's surely the correct behaviour?

New comment by calcifer in "Just Fucking Use Go"

calcifer — Fri, 08 May 2026 14:11:35 +0000

> I'd like my IDE to tell me when I accidentally stopped implementing an interface

I don't know about others, but Goland's analyser is pretty powerful and can navigate from interface to implementation(s) and vice versa.

What Happened with Mars Sample Return?

calcifer — Fri, 01 May 2026 07:44:03 +0000

Article URL: https://mceglowski.substack.com/p/what-happened-with-mars-sample-return

Comments URL: https://news.ycombinator.com/item?id=47972212

Points: 3

# Comments: 0

Culdesac, Arizona's car-free neighborhood

calcifer — Thu, 30 Apr 2026 13:47:03 +0000

Article URL: https://devonzuegel.com/field-notes-culdesac

Comments URL: https://news.ycombinator.com/item?id=47962420

Points: 14

# Comments: 0

A 14-month responsible disclosure with the RIPE NCC

calcifer — Wed, 29 Apr 2026 11:12:39 +0000

Article URL: https://mxsasha.eu/posts/ripe-ncc-disclosure-retrospective/

Comments URL: https://news.ycombinator.com/item?id=47946717

Points: 3

# Comments: 0

New comment by calcifer in "Tuna-2: VAE-less image model from Meta"

calcifer — Tue, 28 Apr 2026 18:47:16 +0000

Interesting note from the repo [1]:

> A Note on Model Release

> Due to organizational policy constraints, we are unable to release the full production-trained model weights. To support the research community, we plan to release a foundation checkpoint with a small number of layers removed from both the LLM backbone and the diffusion head (flow head). The remaining layers and all other components (vision encoder, projections, embeddings, etc.) are fully preserved. With a short fine-tuning pass on your own data, the removed layers can be quickly re-learned and the model restored to full quality.

[1] https://github.com/facebookresearch/tuna-2#a-note-on-model-r...