Viewing profile — tristanj
tristanj
HN member- Joined
- Wed, Jul 18, 2012, 8:40 AM UTC
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- 7,045
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- 1,165 items
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About tristanj
Recent public activity
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Comment #49223360
This was never an issue. Space-based data centers in SSO will connect to the internet via Starlink's laser network. SSO data centers were never meant for low-latency applications. …
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Comment #49215689
> So call me when one of them can pass the Turing test against me and then we can talk about AGI Ring ring I'm calling you right now. We blew past the Turing test goalpost over a y…
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Comment #49208585
Maybe, but in the official verdict they didn't take into account all affected children either; they only used an estimated 37,500 affected teen users to calculate the fine. Meta wa…
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Comment #49208161
This analysis actually understates how massive and outsized the penalties are. The court ruling only applies to children in New Mexico under age 18. New Mexico has ~450,000 people …
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Comment #49207797
> Now there is no sign of actual AGI happening any time soon Do you genuinely hold this position, or do you not realize how far the goalposts have shifted? In 2022, prominent AI cr…
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Comment #49207720
Public models are months behind what the labs have internally, and I believe OAI's upcoming model is so advanced they consider it AGI. OAI is not going to announce anything until t…
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Comment #49205648
Both of those links are literally about the exact same lawsuit in the submitted article. You just Googled the topic and pasted two sources from other media outlets thinking they we…
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Comment #49204695
From the article: The company must also enact certain safety features such as limiting the amount of time underage users in the state spend on Facebook and Instagram, hiding by def…
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Comment #49204635
Per the court ruling [0], the specific law that Meta violated was New Mexico’s public-nuisance law, NMSA 1978 § 30-8-1. The relevant section that was violated is [1]: A public nuis…
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Comment #49188633
Meta is offering a 10x discount on input ($0.10 vs. $1.25/Mtok) and 20x discount on output ($0.20 vs. $4.25/Mtok) if you opt in to let them train on your data. https://developer.me…
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Comment #49129841
Anthropic is profitable, running at ~$75B ARR, and has 80+% gross margin on their API products. OpenAI is not yet profitable, but is running at ~40B ARR and their revenue is growin…
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Comment #49129614
I used to think that export controls didn't work, until I realized that China has leapfrogged the West on every technology that wasn't subject to export controls.
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Comment #49053227
Kimi K3 also built Mac OS 27 in a browser. https://macos27.kimi.page/
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Comment #49028364
Anthropic removed raw CoT from all models since Sonnet 3.7 (released February 2025), all Opus 4.X models have censored CoT, yet Chinese labs continue to distill from them, proving …
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Comment #49021659
Meta, Microsoft, Amazon also serve their own models, though these models are not frontier models.
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Comment #49018541
Encrypted reasoning traces don't prevent distillation. You only need the input prompts and final output responses to distill capabilities. As Anthropic explained in their distillat…
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Comment #49018481
It's based on Anthropic's press release where they reveal distillation of their models by Chinese labs: https://www.anthropic.com/news/detecting-and-preventing-dist... Moonshot AI …
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Comment #49015249
Moonshot already has at least several million exchanges distilled from Claude that they obtained over the past year https://www.anthropic.com/news/detecting-and-preventing-dist... …
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Comment #49014507
Fable was launched on June 9 (for 72 hours), then K3 launched on July 16. Timeline wise, Moonshot had over a month to post-train K3 on Fable distilled data, which is more than enou…
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Comment #49014331
No, it's a flawed conclusion. Claude Fable was publicly available for 72 hours early June. Moonshot more than enough time to prepare infrastructure, gather their preferred distilla…
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Comment #49014300
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Comment #49003629
Your theory doesn't hold up against the data. While model identifiers like "claude-opus-4-5-20251101" appear thousands of times across GitHub and other code sources, so do "gpt-4o-…
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Comment #48992144
1) Model distillation is the process of transferring knowledge from a large model to a smaller one. It doesn't require logits. https://en.wikipedia.org/wiki/Knowledge_distillation …