Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
MediaSquirrel
searching Neon…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
11 ms
·
1.
▲
Show HN: Tesoro.help – rogue AI helpdesk for my kid's high school
(tesoro.help)
1 points
by
MediaSquirrel
13d ago
|
0 comments
2.
▲
Attention-Only Transformers
(arxiv.org)
3 points
by
MediaSquirrel
1mo ago
|
1 comments
3.
▲
by
MediaSquirrel
1mo ago
Summary: https://gist.is/arxiv.org/en/YVxP3o7y3Dq1
4.
▲
Show HN: Local Motion – Use Cursor Agents and Chat with a Local LLM
(github.com)
1 points
by
MediaSquirrel
2mo ago
|
0 comments
5.
▲
by
MediaSquirrel
3mo ago
Ha, I built a version of the same thing as a Cursor plugin. Check it out: https://open-vsx.org/extension/Transcendence/gist-discover https://gist.is/discover We literally posted our Show HNs withi
6.
▲
Show HN: Gist Discover – TikTok for ArXiv Summaries
(gist.is)
4 points
by
MediaSquirrel
3mo ago
|
1 comments
7.
▲
Scalable GANs with Transformers
(arxiv.org)
3 points
by
MediaSquirrel
3mo ago
|
0 comments
8.
▲
Cheaper Than Concrete: Robots and the New Stone Age
(originals.is)
4 points
by
MediaSquirrel
3mo ago
|
0 comments
9.
▲
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
(arxiv.org)
3 points
by
MediaSquirrel
3mo ago
|
0 comments
10.
▲
Death Is an Engineering Problem
(originals.is)
3 points
by
MediaSquirrel
3mo ago
|
1 comments
11.
▲
by
MediaSquirrel
3mo ago
Dr. Alex Mathiasen, PhD wants to build a pause button for human biology – so that you can live forever. All he needs is enough GPUs to simulate quantum physics.
12.
▲
Non-frontal face recognition using GANs and memristor-based classifiers
(arxiv.org)
2 points
by
MediaSquirrel
3mo ago
|
0 comments
13.
▲
MambAdapter: Lightweight Mamba-Based Adapters for Transfer Learning
(arxiv.org)
2 points
by
MediaSquirrel
3mo ago
|
0 comments
14.
▲
Can I Buy Your KV Cache?
(arxiv.org)
36 points
by
MediaSquirrel
3mo ago
|
28 comments
15.
▲
Before You Think: System 0, AI-Mediated Cognition and Cognitive Colonization
(arxiv.org)
1 points
by
MediaSquirrel
3mo ago
|
0 comments
16.
▲
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Reasoning
(arxiv.org)
1 points
by
MediaSquirrel
3mo ago
|
0 comments
17.
▲
by
MediaSquirrel
3mo ago
Do share.
18.
▲
Superficial Beliefs in LLM Decision-Making
(arxiv.org)
3 points
by
MediaSquirrel
3mo ago
|
0 comments
19.
▲
Show HN: Magenta Real-Time Music Generation Locally on iPhone, Without the GPU
(github.com)
9 points
by
MediaSquirrel
3mo ago
|
0 comments
20.
▲
Feedback Alignment in Self-Distillation
(arxiv.org)
2 points
by
MediaSquirrel
3mo ago
|
0 comments
21.
▲
WWDC 2026 – On-Device AI Deep Dive
(gist.is)
1 points
by
MediaSquirrel
3mo ago
|
0 comments
22.
▲
by
MediaSquirrel
5mo ago
yeah, it came out after I stared on my project last year. Only issue is that you can't fine-tune it on Apple Silicon.
23.
▲
by
MediaSquirrel
5mo ago
depends on the model! If you run a smaller whisper-distil variant AND you optimize the decoder to run on Apple Neural Engine, you can get latency down to ~300ms without any backend infra. The issue is that the smaller models tend to suck, w
24.
▲
by
MediaSquirrel
5mo ago
Look inside here: https://github.com/mattmireles/gemma-tuner-multimodal/tree/m... Here’s the trick: use Gemini Pro deep research to create “Advanced Hacker’s Field Guide for X” where X is the problem that you
25.
▲
by
MediaSquirrel
5mo ago
More data -> better, faster on-device models The actual plan was to distill Gemini 2.5 Pro into the best on-device voice dictation model. Pretty sure it would have worked. Alas.
26.
▲
by
MediaSquirrel
5mo ago
re: Whisper v3 -- how is this possible? Whisper has a 30s context window. You have to chunk it.
27.
▲
by
MediaSquirrel
5mo ago
Great minds think alike! Also, I had a huge head start, as I spent a month or two working on this in September 2025, shelved it and dusted it back off this weekend.
28.
▲
by
MediaSquirrel
5mo ago
Haven’t tried yet. That’s on the do list. But good suggestion.
29.
▲
by
MediaSquirrel
5mo ago
you are welcome! It was a fun side quest
30.
▲
by
MediaSquirrel
5mo ago
Memory usage increases quadratically with sequence length. Therefore, using shorter sequences during fine-tuning can prevent memory explosions. On my 64GB RAM machine, I'm limited to input sequences of about 2,000 tokens, considering m
More ›