Keep on to blur preview images; turn off to show them clearly
are you a sage if you can quote manuscript snippets or are you a sage if you're capable of shastrartha?
RL and efficient distributed pretraining • eXperiments lab • memes and training lores
RT @oops073111: 为我瑞思拜的 AI 编程 老师 @yihui_indie 带货～ 我是alliance，可以找我 yihui 老师的课，我给打个 98 折哈哈 https://t.co/jPo2NBMFLw 【FlowUs 息流】面向新手的AI编程实战课（C…
我的AI编程课(https://t.co/HVZn3ItASW) |B站up主 | 分享创造 + 无限迭代ing
RT @disksing: 🧠 代码可读性的科学基础！这篇文章用认知心理学解释了那些我们熟知的最佳实践： • 为什么函数不能太长？工作记忆限制（7±2法则） • 为什么重复代码有时可以接受？模式识别的力量 • 为什么命名如此重要？信息压缩的艺术 从认知负荷、工作记忆到格…
喜欢王小波，大概我们能成为朋友。 我的 2025 https://t.co/pAkSJnpKXA 我的 2024 https://t.co/HfDF6oduB7 我的 2023 https://t.co/QyV8PiZmOY ..............
Sydney Brenner was one of the smartest and most far-seeing scientists of the 20th century. He had an incredible ability to see the edges of known science and sniff out which areas would be most fruitful to pursue. He realized early on in his career that von Neumann had basically solved the “abstract math problem” associated with life and genetics, but didn’t know the biology to propose the physical mechanisms for any of it. In short, von Neumann figured out that any solution to the problem had to have these 4 abstract attributes: A description/blueprint (information storage) A constructor that reads the blueprint A copying mechanism for the blueprint itself A supervisory unit coordinating the process And he determined that from pure logical necessity; it was the only way he could conceive of such a thing being able to work. And of course we now have the specific names and physical mechanisms for each of those 4 things; it’s basically the DNA - RNA - Protein - Polymerase/etc. system. Anyway, it’s fascinating to watch Brenner talk about this stuff. That whole long series of videos is an absolute gold mine of stories and knowledge and insights about biology, chemistry, medicine, genetics, etc.
Former Quant Investor, now building @lumera (formerly called Pastel Network) | My Open Source Projects: https://t.co/9qbOCDlaqM
FSD saves lives. It happened to me tonight. Going through New Mexico from the Tesla Shareholders' meeting, the head-on collision (75 mph) with oncoming traffic was averted. Just a broken mirror, busted window, and a bit of a shaken mind. Thank you Elon, thank you Tesla, thank you cybertruck.
Passion, nature, music, AI, Open source, sharing economy... future. And of course, Tesla, SpaceX, Elon. No DM for cypto please.
see? @Why__Knot and @grok are beings of equal ability to learn from new stimuli. Static knowledge and characteristically subhuman inability to admit narrative failure.
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
