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RT @seclink: 高端招聘:智谱 招 大模型算法实习生
-----
大模型算法实习生
智谱 · 北京

职位描述
1. 大模型训练与优化:参与大规模语言模型(LLM)的预训练、微调、对齐(Alignment)及性能优化(如SFT、DPO、RLHF等);
2.…

RT @seclink: 高端招聘:智谱 招 大模型算法实习生 ----- 大模型算法实习生 智谱 · 北京 职位描述 1. 大模型训练与优化:参与大规模语言模型(LLM)的预训练、微调、对齐(Alignment)及性能优化(如SFT、DPO、RLHF等); 2.…

找工作、找面试题、改简历、模拟面试。关注: 创业(冷启动) | 认知心理学|智能体 | 强化学习 building:https://t.co/A4YmEz90B8

avatar for Y11
Y11
Wed Dec 03 14:53:07
flowith 推出由 nano banana pro 提供支持的 slides beta 是真好用啊

多个模板,可以直接选,并行分解任务,并行生成图片,生成速度快,生成的图片质量高

下载后图片无水印,还限时免费

@flowith

flowith 推出由 nano banana pro 提供支持的 slides beta 是真好用啊 多个模板,可以直接选,并行分解任务,并行生成图片,生成速度快,生成的图片质量高 下载后图片无水印,还限时免费 @flowith

AI and tech aficionado, keen on radios and e-readers. 🌐 https://t.co/aW55vLd67a

avatar for nicekate
nicekate
Wed Dec 03 14:50:41
Our first Hacker Residency DEMO DAY was a huge success!

Here's what everyone built 🧵

Our first Hacker Residency DEMO DAY was a huge success! Here's what everyone built 🧵

Creating software I love to use. 🧠 https://t.co/p4T2vFZoJ1 $137K/m 🧰 https://t.co/y0Lq4RQRsu $5K/m 📕 https://t.co/btuasMBHPT $518/m 🖼️ https://t.co/KfFdieGrVf $50/m

avatar for Tony Dinh
Tony Dinh
Wed Dec 03 14:50:15
Our first Hacker Residency DEMO DAY was a huge success!

Here's what everyone built 🧵

Our first Hacker Residency DEMO DAY was a huge success! Here's what everyone built 🧵

First of all, why? → We want to make indie hacking more popular, encourage more people to build cool products, and get rich together. → We remove distractions and provide community, accountability, and mentorship. Here are all the demos of @HackerResidency batch 0 👇

avatar for Tony Dinh
Tony Dinh
Wed Dec 03 14:50:15
Some news…I’m back at a16z, on the new media team! I couldn’t be more excited to be working with @eriktorenberg, @Alex_Danco, and the editorial team, where I’m collaborating with our partners and founders on longform blogging.

I’ve spent the majority of my professional life circling the thing that I love the most: writing. For a period as an investor, it felt like “enough” to be able to write blogposts and theses as a sidequest in the afterhours. Later, as an operator doing comms and marketing, it felt like enough to lead product rollouts, corralling our various almost-live releases into a story that could be legible to the outside world. But in the back of my mind, I knew I wanted to be writing full-time. So, I feel incredibly lucky to be able to do that at a16z, the first place where I truly felt professionally at home.

If you love writing, it can be easy to view anything that isn’t writing as a distraction. There’s always a part of you that secretly wants to log off the Zoom call or tune out the strategy session, and open up a blank Google doc. But if you want to write, it’s actually tremendously valuable to do things that don’t involve writing, and pay a massive amount of attention to that work, because that’s how you make contact with reality and begin to build your own world model. Some writing exists to tell the truth. Other writing exists to conceal a lack of knowledge or understanding. When you read, it’s immediately clear which writers have actually experienced the world, and who’s writing secondhand fictions that suit a certain pre-established worldview.

There’s a radicalizing thing that happens early on in any career, when you read the news and realize it’s just…flat out wrong about the domain you’ve begun to establish some expertise in. Maybe you work in crypto and wonder why no media outlet covered the wave of debanking experienced by founders in the industry. Or maybe you work in AI and raise your eyebrows in amused bafflement when a longform piece about datacenters contains misinformation about water usage or a digressive accusation about the aesthetic shortcomings of matrix multiplication…

The longer I work in tech, the more I feel that the problem with traditional media isn’t (solely) that it gets things wrong. It’s actually that traditional media just doesn’t know how to focus on the parts of the story that actually matter. With that in mind, I find it amusing that “go direct” and organic phenomena like it are sometimes presented as an elaborate conspiracy. In reality, the explanation is a lot more boring and quotidean: the tech industry knows which stories matter to the people who work in it, and publishes as such.

Of course, narratives and observations don’t emerge out of thin air. Someone has to do the work of talking to founders and operators, parsing charts, trendlines, and primary sources, and then make sense of it all. There are a lot of reasons why a16z is a special firm, but something that I’ve always appreciated is that the people who work here take the art of parsing what’s really going on very seriously. If you’ve read writing from Justine Moore on the state of video models, Martin Casado and Sarah Wang on gross margins, Jennifer Li on AI voice, or Anish Acharya on new LLM-generated software, (just to name a couple of examples) you know what I’m talking about. And if you haven’t read them, you should really subscribe to the a16z Substack, where we’re publishing every day.

Anyway, I’m stoked to be back at a16z, doing what I love most, with the incredible folks on the new media team, the firm’s partners, and our founders. Let’s go!

Some news…I’m back at a16z, on the new media team! I couldn’t be more excited to be working with @eriktorenberg, @Alex_Danco, and the editorial team, where I’m collaborating with our partners and founders on longform blogging. I’ve spent the majority of my professional life circling the thing that I love the most: writing. For a period as an investor, it felt like “enough” to be able to write blogposts and theses as a sidequest in the afterhours. Later, as an operator doing comms and marketing, it felt like enough to lead product rollouts, corralling our various almost-live releases into a story that could be legible to the outside world. But in the back of my mind, I knew I wanted to be writing full-time. So, I feel incredibly lucky to be able to do that at a16z, the first place where I truly felt professionally at home. If you love writing, it can be easy to view anything that isn’t writing as a distraction. There’s always a part of you that secretly wants to log off the Zoom call or tune out the strategy session, and open up a blank Google doc. But if you want to write, it’s actually tremendously valuable to do things that don’t involve writing, and pay a massive amount of attention to that work, because that’s how you make contact with reality and begin to build your own world model. Some writing exists to tell the truth. Other writing exists to conceal a lack of knowledge or understanding. When you read, it’s immediately clear which writers have actually experienced the world, and who’s writing secondhand fictions that suit a certain pre-established worldview. There’s a radicalizing thing that happens early on in any career, when you read the news and realize it’s just…flat out wrong about the domain you’ve begun to establish some expertise in. Maybe you work in crypto and wonder why no media outlet covered the wave of debanking experienced by founders in the industry. Or maybe you work in AI and raise your eyebrows in amused bafflement when a longform piece about datacenters contains misinformation about water usage or a digressive accusation about the aesthetic shortcomings of matrix multiplication… The longer I work in tech, the more I feel that the problem with traditional media isn’t (solely) that it gets things wrong. It’s actually that traditional media just doesn’t know how to focus on the parts of the story that actually matter. With that in mind, I find it amusing that “go direct” and organic phenomena like it are sometimes presented as an elaborate conspiracy. In reality, the explanation is a lot more boring and quotidean: the tech industry knows which stories matter to the people who work in it, and publishes as such. Of course, narratives and observations don’t emerge out of thin air. Someone has to do the work of talking to founders and operators, parsing charts, trendlines, and primary sources, and then make sense of it all. There are a lot of reasons why a16z is a special firm, but something that I’ve always appreciated is that the people who work here take the art of parsing what’s really going on very seriously. If you’ve read writing from Justine Moore on the state of video models, Martin Casado and Sarah Wang on gross margins, Jennifer Li on AI voice, or Anish Acharya on new LLM-generated software, (just to name a couple of examples) you know what I’m talking about. And if you haven’t read them, you should really subscribe to the a16z Substack, where we’re publishing every day. Anyway, I’m stoked to be back at a16z, doing what I love most, with the incredible folks on the new media team, the firm’s partners, and our founders. Let’s go!

new media @a16z

avatar for Elena
Elena
Wed Dec 03 14:45:44
3 years with the love of my life

quite literally the best 3 years of my life

3 years with the love of my life quite literally the best 3 years of my life

also: anniversary = infinite sweet treats 🤪

avatar for jack friks
jack friks
Wed Dec 03 14:44:20
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