yangdf @_yangdf
“The intelligence of LLM is an illusion.” NoesisOrigin.com Guangzhou Joined February 2016-
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@pretentiouswhat Although the land was acquired through urban expansion, the entire newly added population migrated from other provinces.
@pretentiouswhat Your first point is wrong, so there's no need to even look at the rest.
1000万向量31GB压到4GB,搜索还比FAISS快——这事有点离谱,但turbovec真做到了。核心是Google TurboQuant的数据无关量化,无需训练、不用调参,加向量即索引。手写NEON/AVX-512核实打实快12-20%,支持搜索时按id过滤,直接省掉大量后处理折腾。Rust底层 + pip install即用,维护成本压到极低。 github.com/RyanCodrai/tur…
Updated so different materials/reactions will have different color flames (e.g. chlorine, sodium, potassium, copper). Working on adding more realistic handling of ions soon.
说到vibe coding,使用各种AI工具把代码库搞的又大又复杂,要添加新功能时候真是很无奈,失控到无从下手了已经,全让AI LLM去搞则是漏洞百出,让子弹再飞一会儿吧。
@antirez Just say what you think: what do you actually think is good and what isn’t? As the Chinese saying goes: “Don’t take your pants off just to fart.”
@GeekParkHQ Planting a seed—it’s a wonderful story.
Unitree Robotics goes before the STAR Market committee today, on track to become China's first public humanoid robot company. As its first institutional angel investor, it is a good moment for us to revisit the early bet. Jack Zhang, founder of @GeekParkHQ, wrote ~4,000 words on how, in 2018, he wired nearly the entire first fund into @UnitreeRobotics. x.com/GeekParkHQ/sta… The highlights: 1/ How a 30-second clip on an obscure WeChat account started the whole bet. 2/ The first meeting: 3 hours, no deck, no desks, just a hallway couch. (Not even Unitree's!) 3/ Why hydraulics were a dead end for any commercial product, and electric the only road. 4/ How Wang Xingxing rebuilt a top lab's research architecture for under 20,000 RMB on motors he sourced and characterized himself. 5/ "I would not have written the same check for the same founder building the same robot in Palo Alto." 6/ How Unitree's two largest backers today - Lei Jun @Xiaomi and Wang Xing @meituan both met Xingxing in 2017 and passed. (Their stakes today: ~$800M.) 7/ What GeekPark did when the structure broke and Unitree's cash was about to run out. 8/ Why Xingxing bet from day1 that research labs were the right first customer. 9/ What matters to GeekPark more than the Unitree bet itself. Full read:
@GillesGressani J'envie sincèrement les Français pour leur confiance en eux, car la confiance en soi est une bonne chose.
@patelnir41 It's a really cool job. You need to build a cognitive framework for agent NPCs. I tried a similar task in Minicrafe last year, and the results were less than satisfactory, but the attempt to internalize agent NPC capabilities is still worth looking forward to.
@EzSpeakMandarin Also in Guangzhou, the sun was beating down when I got on the underground in the morning, but by the time I got off, it was pouring with rain, and I hadn’t brought an umbrella.
Bjarne Stroustrup is the creator of C++ and a former researcher at Bell Labs at its peak. I interviewed him about: • What made Bell Labs different • Programming language design: types, memory safety, bootstrapping • When abstraction improves performance • Anecdotes from building C++ • Thoughts on AI writing C++ • Mistakes he'd change while building C++ Where to watch: • YouTube: youtu.be/U46fJ2bJ-co • Spotify: open.spotify.com/episode/52pEgo… • Apple Podcasts: podcasts.apple.com/us/podcast/the… • Transcript: developing.dev/p/creator-of-c… Thank you to this episode's sponsors for supporting my work: • Cursor 3: a unified workspace for building software with agents, check it out at cursor.com • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at workos.com Timestamps: 0:00 - Intro 0:50 - The origin of C++ 8:46 - What Bell Labs was like 17:24 - Dennis Ritchie 24:00 - When to build a programming language 31:59 - Bootstrapping a language 33:58 - C++ is not object-oriented 37:32 - Discussing type systems 46:20 - Memory safety 49:26 - Standards committee anecdotes 1:09:40 - Adding automatic garbage collection to C++ 1:18:25 - Template instantiation is Turing complete 1:21:57 - Abstraction and performance 1:28:51 - AI writing code 1:35:54 - His motivation 1:39:18 - Famous quotes 1:46:48 - Reflecting on building C++ 1:49:12 - Top C++ book recommendation 1:50:59 - Advice for his younger self 1:58:06 - Outro
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