Hacker News: gzer0

GPT-5.6 System Card [pdf]

gzer0 — Fri, 26 Jun 2026 17:34:55 +0000

Article URL: https://deploymentsafety.openai.com/gpt-5-6-preview/gpt-5-6-preview.pdf

Comments URL: https://news.ycombinator.com/item?id=48689450

Points: 1

# Comments: 0

New comment by gzer0 in "Apple raises prices of MacBooks, iPads"

gzer0 — Fri, 26 Jun 2026 00:07:06 +0000

A small but notable change: Apple now appears to require university verification through UNiDAYS for EDU pricing.

Previously, at least in the U.S., you could just use the education store and get the discount without much (if any at all) verification.

New comment by gzer0 in "Noam Shazeer Joins OpenAI"

gzer0 — Thu, 18 Jun 2026 20:12:10 +0000

Some context for people who haven’t followed the full loop: Shazeer was a long-time Google researcher, joined Google in 2000, and was one of the co-authors of “Attention Is All You Need.”

He left Google in 2021 to co-found Character.AI. In 2024, Google brought him and some Character.AI researchers back via a licensing/talent deal with Character.AI (reportedly around $2.7B). He was then made a Gemini co-lead.

Now he’s leaving Google again for OpenAI.

Exciting times!

New comment by gzer0 in "DeepSeek v4"

gzer0 — Fri, 24 Apr 2026 15:34:32 +0000

Congratulations on the release to the DeepSeek team. An interesting note on the use of CSA and HCA: CSA provides higher-resolution, query-selected memory over 4-token compressed blocks, while HCA provides very low-resolution dense global memory over 128-token blocks. That could be a plausible reason to interleave them: CSA alone risks missing information if the indexer fails, while HCA alone is too lossy for precise retrieval. Still reading through the release, as usual, always appreciate the attention to detail in the technical papers.

Cursor partners with SpaceX on model training

gzer0 — Wed, 22 Apr 2026 00:02:28 +0000

Article URL: https://cursor.com/blog/spacex-model-training

Comments URL: https://news.ycombinator.com/item?id=47856635

Points: 2

# Comments: 1

New comment by gzer0 in "The Illustrated Transformer"

gzer0 — Mon, 22 Dec 2025 22:30:56 +0000

This is hands down one of the best visualizations I have ever come across.

New comment by gzer0 in "Apple M5 chip"

gzer0 — Wed, 15 Oct 2025 13:57:57 +0000

M5 Chip currently only avaialble with up to 32 GB of RAM on the 14 inch Macbook pro variant, just FYI.

[1] https://www.apple.com/us-edu/shop/buy-mac/macbook-pro/14-inc...

PyPI mirror proxy that injects code and bypasses pip hash verification

gzer0 — Sun, 14 Sep 2025 15:58:48 +0000

Article URL: https://github.com/dtmsecurity/badpie

Comments URL: https://news.ycombinator.com/item?id=45240819

Points: 1

# Comments: 1

New comment by gzer0 in "API, Claude.ai, and Console services impacted [resolved]"

gzer0 — Wed, 10 Sep 2025 16:47:24 +0000

Nooooo I'm going to have to use my brain again and write 100% of my code like a caveman from December 2024.

Comment last time that had me chuckling.

New comment by gzer0 in "I launched 17 side projects. Result? I'm rich in expired domains"

gzer0 — Thu, 31 Jul 2025 01:35:06 +0000

The best way to phrase this would be, information seeking as a form of procrastination itself.

I first remember reading this phrasing here on HN and I've been using it for years to explain to others that what I am doing is not "work", its just a hobby.

AMD teams contributing to the llama.cpp codebase

gzer0 — Mon, 28 Jul 2025 20:52:51 +0000

Article URL: https://github.com/ggml-org/llama.cpp/pull/14624

Comments URL: https://news.ycombinator.com/item?id=44715499

Points: 3

# Comments: 0

New comment by gzer0 in "Qwen3: Think Deeper, Act Faster"

gzer0 — Mon, 28 Apr 2025 21:29:43 +0000

Very nice and solid release by the Qwen team. Congrats.

New comment by gzer0 in "NASA's Project Scientist Faces Painful Choices as Voyager Mission Nears Its End"

gzer0 — Sun, 06 Apr 2025 12:54:11 +0000

Both the Golden Record and the Pioneer Plaque were carefully crafted with universality in mind, drawing on fundamental scientific principles understandable by any intelligent civilization. They both shared many similarities. [1][2]

  > Some images contain indications of chemical composition. All measures used on the pictures are defined in the first few images using physical references that are likely to be consistent anywhere in the universe.

  > The pulsar map and hydrogen molecule diagram are shared in common with the Pioneer plaque.

[1] Explanation of the Voyager record cover diagram, as provided by NASA

https://upload.wikimedia.org/wikipedia/commons/thumb/e/ed/Vo...

[2] https://en.wikipedia.org/wiki/Voyager_Golden_Record

New comment by gzer0 in "NASA's Project Scientist Faces Painful Choices as Voyager Mission Nears Its End"

gzer0 — Sun, 06 Apr 2025 06:43:14 +0000

Your skepticism about the Golden Record is understandable, but its value goes beyond mere practicality—it's a powerful symbol of humanity's hopes, dreams, and curiosity.

Sure, the odds of another civilization discovering and fully decoding it are slim. But the Record was never simply meant as a practical tool, like the Svalbard seed bank or the LHC. Instead, it's an intentional gesture of optimism, an attempt to capture and communicate the essence of who we are at this unique moment in our history.

Importantly, the Golden Record was carefully designed using universal scientific principles—binary notation, hydrogen atom properties, and pulsar maps—ensuring that any intelligent civilization might realistically decode it. The instructions etched onto its cover rely on fundamental concepts universally understandable across the cosmos.

The greetings, music, and even brainwave recordings aren't strict instructions but rather snapshots showcasing humanity’s diversity, creativity, and complexity. Even partial understanding by an advanced civilization would provide profound insights into human emotion, ingenuity, and our deep desire for connection.

In the end, the Golden Record is NOT just about practical outcomes; it's about reflecting humanity’s best qualities back to ourselves and inspiring us to strive toward the ideals we've shared with the universe.

New comment by gzer0 in "The Llama 4 herd"

gzer0 — Sat, 05 Apr 2025 20:07:46 +0000

10M context length and surpasses claude-3.7-sonnet and GPT-4.5.

Can't wait to dig in on the research papers. Congrats to the llama team!

New comment by gzer0 in "NASA's Project Scientist Faces Painful Choices as Voyager Mission Nears Its End"

gzer0 — Sat, 05 Apr 2025 20:06:46 +0000

Every time this topic comes up on HN, I always like to remind readers about the following:

One of my favorite facts ever is that Voyager 1 contains something called the Voyager Golden Record [1]. It has the following quote written:

This is a present from a small, distant world, a token of our sounds, our science, our images, our music, our thoughts and our feelings. We are attempting to survive our time so we may live into yours.

I get chills every time I think about this.

[1] https://en.wikipedia.org/wiki/Voyager_Golden_Record

New comment by gzer0 in "Bored of It"

gzer0 — Fri, 04 Apr 2025 11:52:27 +0000

Can confirm, this isn't just an IT thing. Physicians are a prime example—people tend to put doctors on a pedestal, and some doctors start believing they know everything about everything, even when it's clearly outside their wheelhouse. Being smart in one area doesn’t automatically make you an expert in another, but it’s easy for everyone involved to forget that.

New comment by gzer0 in "Apple needs a Snow Sequoia"

gzer0 — Fri, 28 Mar 2025 11:36:49 +0000

Great insight—thanks for sharing. It strikes me that bureaucracy is inherently self-perpetuating- once established, it rewards compliance over creativity, steadily shifting the culture until innovation becomes the exception rather than the rule.

Perhaps the real challenge isn't balancing innovation and marketing—it's creating a culture that genuinely rewards bold ideas and meaningful risk-taking.

New comment by gzer0 in "TopoNets: High performing vision and language models with brain-like topography"

gzer0 — Fri, 31 Jan 2025 08:30:12 +0000

I spent time working with Andrej and the rest of the FSD team back in 2020/2021, and we had plenty of conversations on how human visual processing maps onto our neural network architectures. Our approach—transformer-based attention blocks, multi-scale feature extraction, and temporal fusion—mirrors elements of the biological visual cortex (retina → LGN → V1 → V2 → V4 → IT) which break down raw inputs and integrate them over time. It’s amazing how closely this synthetic perceptual pipeline parallels the way our own brains interpret the world.

The key insight we discovered was that explicitly enforcing brain-like topographic organization (as some academic work attempts - such as this one here) isn't necessary - what matters is having the right functional components that parallel biological visual processing. Our experience showed that the key elements of biological visual processing - like hierarchical feature extraction and temporal integration - emerge naturally when you build architectures that have to solve real visual tasks.

The brain's organization serves its function, not the other way around. This was validated by the real-world performance of our synthetic visual cortex in the Tesla FSD stack.

Link to the 2021 Tesla AI day talk: https://www.youtube.com/live/j0z4FweCy4M?t=3010s

New comment by gzer0 in "An overview of gradient descent optimization algorithms (2016)"

gzer0 — Sat, 25 Jan 2025 19:19:01 +0000

Demon Adam didn’t become standard largely for the same reason many “better” optimizers never see wide adoption: it’s a newer tweak, not clearly superior on every problem, is less familiar to most engineers, and isn’t always bundled in major frameworks. By contrast, AdamW is now the “safe default” that nearly everyone supports and knows how to tune, so teams stick with it unless they have a strong reason not to.

Edit: Demon involves decaying the momentum parameter over time, which introduces a new schedule or formula for how momentum should be reduced during training. That can feel like additional complexity or a potential hyperparameter rabbit hole. Teams trying to ship products quickly often avoid adding new hyperparameters unless the gains are decisive.