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· 2d

NVIDIA DGX Spark: Which Models Can It Run, and Is It Worth Buying?

The DGX Spark has 122 GiB of usable memory but only 273 GB/s of bandwidth: plenty of models fit, but only MoE models run fast. In Ollama's benchmarks gpt-oss-120b generates more than 9 times faster than dense Llama 70B. Then the money question: a machine that rose 74% in a year versus a subscription.

倚窗读雨

· 2d

Web3是互联网的全新迭代，核心是数字主权回归。从前我们只是平台的使用者，数据和成果都归平台所有。依托区块链公开透明的机制，Web3让每个人真正拥有自己的数字身份、创作内容与数字资产，告别平台垄断，让互联网回归共建、共享、自主的本质。

web3头条

· 2d

Strategy美元资产覆盖3.4年利息股息

凌晨的屏幕前，Strategy的财务数字被拆成一笔笔流动的现金。投资者最担心的，始终不是下一枚比特币能否再创新高，而是横亘其间的债务利息与优先股股息，会不会在某一天突然压过来。

Web3 今日热点 Bounty

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· 2d

已经有超过 15 万人开了账户，让 AI 智能体替他们交易。

这些智能体可以：

执行他们的策略
再平衡投资组合
寻找交易机会

Robinhood CEO Vlad Tenev 做客 No Priors 播客。

x.com/NoPriorsPod

中文 English

0:00 我们称之为“代理交易”，就像有个代理帮你执行交易并执行策略。

0:05 我们看到非常强劲的采用率，发布几个月来已有超过15万客户开设了代理交易账户。

0:15 你可以把它看作是云代码或Codex用户的体验。

0:19 它几乎像是一个为交易优化的类似工具。

0:22 你可以设置循环，比如每天执行或运行我的策略，重新平衡组合，寻找机会。

0:32 我认为未来会整合所有编程工具的能力，提供简洁、专为交易者设计的版本，让主动交易变得非常简单。

0:00 We call it "agentic trading," like having an agent execute your trades and do a

0:04 strategy for you.

0:05 We're seeing really strong adoption, like over 150,000 customers have opened

0:11 Agentic trading accounts with us in the few months since we've launched it.

0:15 You can kind of think of it as if you're a cloud code or a codex user.

0:19 It's almost like a tool like that that's optimized for trading.

0:22 So you can run loops and say, okay, every day, you know,

0:27 execute or run of my strategy, rebalance my portfolio, look at opportunities.

0:32 And the way that I think that'll evolve is we're going to look at all the

0:37 capabilities that

0:38 the coding harnesses have and see how we can provide really nice, clean, trader

0:45 -native versions

0:46 of that that just make it really, really easy to be an active trader.

sxtykongbai

· 2d

希腊Live研究院的Adam在X平台发文表示，Coi Base目前使用机器学习技术评估区块链地址风险，并在适当情况下提醒用户。他认为这是AI应用的良好案例，区块链领域应加快在安全领域应用AI技术。此外，Adam还提到欧美机构偏好将99%的资金存储在冷钱包中，Deribit也采用相同策略。这种做法虽然牺牲了部分资金使用效率，尤其是大额资金的效率，但能显著提升安全性。