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nycdatasci

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投稿

Ask HN: Anthropic Billing Issues?

1 ポイント·投稿者 nycdatasci·17 日前·0 コメント

Adobe to Acquire Topaz Labs

businesswire.com
4 ポイント·投稿者 nycdatasci·18 日前·0 コメント

Adobe Acquires Topaz Labs

techcrunch.com
4 ポイント·投稿者 nycdatasci·18 日前·0 コメント

OpenAI requires face scan to use o3 (June 2025)

community.openai.com
2 ポイント·投稿者 nycdatasci·28 日前·1 コメント

Kryptos: Paradigm Puzzles

paradigm.xyz
3 ポイント·投稿者 nycdatasci·先月·0 コメント

Anthropic confidentially submits draft S-1 for IPO

twitter.com
5 ポイント·投稿者 nycdatasci·先月·1 コメント

Elon Musk has lost his lawsuit against Sam Altman and OpenAI

techcrunch.com
1,097 ポイント·投稿者 nycdatasci·2 か月前·595 コメント

[untitled]

1 ポイント·投稿者 nycdatasci·3 か月前·0 コメント

Evil ClawHack NY

nyc.aitinkerers.org
1 ポイント·投稿者 nycdatasci·4 か月前·1 コメント

Ask HN: Has anyone achieved recursive self-improvement with agentic tools?

10 ポイント·投稿者 nycdatasci·5 か月前·13 コメント

OpenAI Frontier

openai.com
143 ポイント·投稿者 nycdatasci·5 か月前·104 コメント

60x1.com (2006)

web.archive.org
1 ポイント·投稿者 nycdatasci·5 か月前·0 コメント

Clawdbot Rebrands to Moltbot After Trademark Request from Anthropic

laravel-news.com
1 ポイント·投稿者 nycdatasci·6 か月前·0 コメント

Trump Touts New Microsoft Data-Center Pledges After Local Backlash

wsj.com
4 ポイント·投稿者 nycdatasci·6 か月前·0 コメント

Darien Gap

en.wikipedia.org
2 ポイント·投稿者 nycdatasci·6 か月前·0 コメント

Sama: "Most likely to launch a new image model"

twitter.com
1 ポイント·投稿者 nycdatasci·7 か月前·0 コメント

OpenAI: The State of Enterprise AI

openai.com
3 ポイント·投稿者 nycdatasci·7 か月前·0 コメント

IBM Nears Roughly $11B Deal for Confluent

wsj.com
4 ポイント·投稿者 nycdatasci·7 か月前·0 コメント

Zuck Plans Deep Cuts for Metaverse Efforts

bloomberg.com
31 ポイント·投稿者 nycdatasci·7 か月前·8 コメント

OpenAI's Sam Altman declares 'code red' after rivals make advances

ft.com
6 ポイント·投稿者 nycdatasci·7 か月前·3 コメント

コメント

nycdatasci
·20 日前·議論
I spoke with a (potentially biased) member of technical staff @ Anthropic today who claimed that tags w/ multi-player capability is the biggest thing they've shipped since Claude Code.
nycdatasci
·21 日前·議論
This is a different issue: "We are investigating a fiber cut in Eastern North America. Customers connecting through North America or accessing services in Europe may see increased latencies and timeouts as Cloudflare engineers look to mitigate"
nycdatasci
·28 日前·議論
Sharing due to recent Fable/Mythos news. Is this the path forward for Anthropic?
nycdatasci
·先月·議論
Better source: https://news.ycombinator.com/item?id=48358646
nycdatasci
·先月·議論
No. You can get a PowerBook today with 128 GB ram.

https://www.bhphotovideo.com/c/product/1957120-REG/apple_mbp...
nycdatasci
·2 か月前·議論
Perhaps you have a system prompt? Many users have reported similar issues: https://www.reddit.com/r/wallstreetbets/comments/1tjxa6g/goo...
nycdatasci
·2 か月前·議論
There was no other prompt, no system prompt, etc. Many users have reproduced, exactly as it demonstrated in the parent.

Are you using the flash models? Reasoning models or extended thinking will change the result.

GPT 5.5. Instant shows the same error. If the given prompt isn't working, you can also try "300+140=460 is this correct?". I suspect that leading with the equation may be part of the issue, but haven't tested much.
nycdatasci
·2 か月前·議論
Sure. I'll take the bait, but I assume I'm replying to an AI model.

Why would you use an LLM for this? My comment was about the jagged nature of intelligence, so the prompt provides an example of that.

You can see the entire conversation in the shared link. There was no pre-prompt. Even after pushing it to write python, it hallucinated the same output. It later told me that it doesn't have access to a sandbox through the web UI, but it could execute code in a sandbox if invoked via API.
nycdatasci
·2 か月前·議論
And yet 300+140=460. A very jagged surface indeed. https://gemini.google.com/share/c2a187275e26
nycdatasci
·2 か月前·議論
https://polymarket.com/event/will-the-us-confirm-that-aliens...
nycdatasci
·3 か月前·議論
Interesting project. The examples page needs screenshots.
nycdatasci
·3 か月前·議論
Tried w/ 5.5 Pro, Extended Thinking. 17 minutes:

-----------------------------

Yes. In fact the proposed bound is true, and the constant 1 is sharp.

Let w(a)= 1/alog(a)

I will prove that, uniformly for every primitive A⊂[x,∞), ∑w(a)≤1+O(1/log(x)) , which is stronger than the requested 1+o(1).

https://chatgpt.com/share/69ed8e24-15e8-83ea-96ac-784801e4a6...
nycdatasci
·3 か月前·議論
Can I bet on this?
nycdatasci
·3 か月前·議論
There’s a lot of speculation about how this was achieved, but little mention of the likely weapon system that was used: https://israel-alma.org/the-growing-air-defense-capabilities...

The SA-67 is essentially a hybrid surface-to-air missile and loitering drone that operates like an airborne mine. It’s a pretty innovative weapon: instead of relying on a fast, highly detectable rocket motor, it uses a small gas turbine and passive infrared seeker to silently loiter in a combat zone and then ambush aircraft without ever triggering their traditional radar warning receivers.
nycdatasci
·3 か月前·議論
We have attacked their “legacy” air defense systems. We cannot really degrade their ability to use their anti-aircraft loitering missiles which don’t rely on radar.

https://cat-uxo.com/explosive-hazards/missiles/358-missile-S...
nycdatasci
·4 か月前·議論
They mention "not malicious", but I wonder if current controls are strong enough to prevent malice if the objective is to "interpret intentions disastrously". Isn't this irresponsible?
nycdatasci
·4 か月前·議論
You’re not using Claude Code?
nycdatasci
·4 か月前·議論
Dupe: https://news.ycombinator.com/item?id=47247645
nycdatasci
·5 か月前·議論
The idea of stateful models/interactions in an enterprise is extremely powerful. Is anyone aware of open source projects that have a similar goal? I'm looking for stateful conversations, with collaborative agent/skill refinement.
nycdatasci
·5 か月前·議論
To head off the semantics debate: I don't mean a model rewriting its own source code. I'm asking about 'process recursion'—systems that analyze completed work to autonomously generate new agents or heuristics for future tasks.