Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
armcat
searching Neon…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
11 ms
·
1.
▲
Transformative AI Strategy for Europe
(transformative-ai.eu)
3 points
by
armcat
2d ago
|
0 comments
2.
▲
by
armcat
4d ago
At this point, you are more likely to be stabbed to death, gunned down, or mowed down with a car, by any random psycho. For the nasty or disgruntled actors, they are today able to build bombs or chemical weapons without the use of AI, they
3.
▲
by
armcat
4d ago
(1) Are guns open source? (2) Far more people - order of magnitude higher - have access to guns than they do to open source software - I count access as in actually being able to do something with it.
4.
▲
by
armcat
4d ago
It's interesting that the default thinking is that no one on the planet can be trusted except a privileged few. Event Karpathy has gone this way: https://x.com/karpathy/status/2098811935114551617 You can alwa
5.
▲
OpenAI's rogue AI agents used more sites
(qz.com)
2 points
by
armcat
7d ago
|
0 comments
6.
▲
by
armcat
13d ago
It’s Muse Spark 1.3 taking out the competition
7.
▲
Codex outage
(github.com)
102 points
by
armcat
13d ago
|
1 comments
8.
▲
by
armcat
15d ago
I think we can soon include "recursive depth" strategy that Astra is employing, which (I suspect) is using recursive internal state changes in the transformer as opposed to full forward-pass + sampling which has traditionally been
9.
▲
OpenAI's Astra uses "recurrent depth" to think silently
(reddit.com)
2 points
by
armcat
15d ago
|
0 comments
10.
▲
by
armcat
16d ago
You had me at Winamp
11.
▲
by
armcat
17d ago
It’s been part of the strategy from both OpenAI and Anthropic to split users into “devs” and “knowledge workers”. Hence Codex and Work (or Claude Code vs Cowork), and Chat is stuck in between. Codex can do everything Work can do and most no
12.
▲
by
armcat
18d ago
Less tokens. These models already overthink like crazy especially for complex tasks.
13.
▲
by
armcat
18d ago
That would be very interesting but only the open models allow you to see the reasoning trace
14.
▲
by
armcat
19d ago
You can still use it via API keys (answering my own question from earlier), https://x.com/thsottiaux/status/2093515916076343774?s=46
15.
▲
by
armcat
19d ago
Does this also apply to API endpoints, let’s say if you want to provide API keys in Cursor to Azure or Bedrock deployment of a GPT model?
16.
▲
by
armcat
19d ago
Codex cli is open source rust project (Claude Code is not). Whisper is an open weight ASR/STT model. GPT-OSS is an open weight LLM that can run locally and is still very capable. CLIP is an open source model used for image encoding. Ju
17.
▲
by
armcat
19d ago
I am with you 100% but Microsoft (partially) open sourced MS-DOS (v1.25 and v2.0) in 2018, 37 years after its initial release.
18.
▲
by
armcat
19d ago
What's very promising here is the number of tokens-vs-accuracy ratio. I am assuming their "output tokens" means tokens generated as part of thinking and any tool calls (what are referred to as "input tokens" from bi
19.
▲
GenRec: An LLM-Backed Recommendation Ranker at Netflix
(arxiv.org)
2 points
by
armcat
20d ago
|
0 comments
20.
▲
by
armcat
20d ago
Don't see this happening. Both Nemo and TensorRT from Nvidia are heavily invested in low precision formats and higher inference throughput as well as low memory use. It's more about what happens in relation to GGUF, MLX and non CU
21.
▲
by
armcat
21d ago
HF has been a close part of my ML/AI career, coinciding exactly when I moved into this space 10 years ago. There are lot of nuances here (if the deal goes through). Some people say it's a loss for EU sovereign AI but HF is technic
22.
▲
by
armcat
21d ago
How is input token efficiency/verbosity on this model? Has anyone tried? GLM 5.2 was doing lot of turns and thinking piling up input tokens in the context (compared to Claude and GPT models). Then Qwen3.8-27B was 2x of that. Both deliv
23.
▲
by
armcat
22d ago
Basic statistics and basic economics/finance are two subjects that are completely underdeveloped within the general population. Coincidentally those two effectively rule our entire lives. As an aside, STAT 200 looks like a solid stats
24.
▲
by
armcat
22d ago
Same here. The absolute star in my team is the youngest. But! I think what's happening is that the distribution in this age group has shifted. Essentially the absolute best (high IQ, super ambitious, great communicator, cracked builder
25.
▲
by
armcat
22d ago
It's interesting because a study here in Sweden [1] produces identical results. To quote from the study: "An event study documents an accelerating decline in employment of 22–25-year-olds in high-AI-exposure occupations, reaching
26.
▲
by
armcat
23d ago
This is a great read and I can extend this argument really to any small business. Tax filing, VAT, bookkeeping, privacy, consumer, workplace and sectoral requirements frequently impose a disproportionately large cost on microbusinesses. EU
27.
▲
by
armcat
23d ago
This is super interesting because I moved from mobile telephony into ML and data science, and information theory and working with data in statistically correct way was what helped me! This was 10 years ago though.
28.
▲
by
armcat
24d ago
It's best not to take advice on direction of careers from anyone. It's better to find and work on things that interest you, and then take advice from people that are amazing in that specific field. In mid 2000s in Australia all th
29.
▲
by
armcat
25d ago
This is a great read. One of the most requested AI features I’ve seen is PPTX slide generation that matches a corporate template and assets perfectly. Claude with skills comes close but not close enough. The amount of fiddling needed to adj
30.
▲
by
armcat
26d ago
Having built my own voice assistant ( https://github.com/acatovic/ova ) and having tried many other services and models, I feel the real win is when this is on-device, and by "on-device" I mean being very inexp
More ›