Ramsay Brown

whatever this is, this is my politics

AI labs

With the Reddit Face ID verification announcement this is worth rewatching. Everything in this video has, will, and is coming true.

Reminder to self.

At 95, I'm still smokin'! 😝 I’ve learned two things: Never waste a good cigar. Never trust anyone who says you should ‘act your age.’ 😉👍🏻

When she’s clearly a fed but you don’t care

The Return (1980) is a Soviet animated short film directed by animator Vladimir Tarasov.

@curtis_yarvin bonk

Imagine the smell

As God intended.

• be Torakusu Yamaha • the son of a low-ranking samurai astronomer in 19th-century Japan • obsessed with Western machines, you make a living repairing watches and medical equipment • 1887: a local elementary school has a broken American reed organ. Nobody in the small town knows how to fix it. • you take it apart, realize it’s just two broken springs, and easily repair it • but instead of just handing it back, you realize: "If I can fix this, I can build it." • you draw a blueprint of the inside of the organ and build the very first Japanese-made reed organ from scratch • you show it off. People tell you it sounds terrible. • most people would quit. You sling the heavy wooden organ over your shoulder on a bamboo carrying pole. • you physically carry it 160 miles (250 km) on foot, trekking over the brutal Hakone mountains just to reach the Tokyo Music Institute to get real feedback from experts • the professors play it. They tell you the mechanics are brilliant, but the tuning is completely wrong. • you don't get defensive. You stay in Tokyo for a month, sitting in on university music theory lectures, holding a single tuning fork to your ear until you completely master the mathematics of sound frequencies • you walk 160 miles back home • you build a second organ. The professors test it and declare it "as good as those from abroad." • you found Nippon Gakki Co. (which later becomes Yamaha Corporation) • you decide to make your company logo three interlocking tuning forks to remember the pain and discipline of learning music theory from scratch • decades later, your company uses its piano woodworking expertise to build wooden airplane propellers in WWII • after the war, the company uses its new metallurgical expertise from the airplane engines to build motorcycles • you accidentally create a timeline where repairing a broken elementary school organ directly leads to the creation of the Yamaha YZF-R1 superbike • absolute, relentless horizontal integration based purely on figuring out how things work The ultimate testament to reverse-engineering reality.

as any good writer will tell you, there are 7 basic types of story: 1. rags to riches 2. man vs man 3. man vs bee 4. voyage to meat world 5. coughing baby vs hydrogen bomb 6. amateur pornography 7. evangelion

Cigarettes are a technology that converts HP into mana

Today, the @WhiteHouse released a commonsense National AI Policy Framework that ensures every American benefits from AI. As @POTUS has said — we need one federal AI policy, not a 50 state patchwork. This gets us there. Eager to work with Congress on this important legislation.

Delve, a YC-backed compliance startup that raised $32 million, has been accused of systematically faking SOC 2, ISO 27001, HIPAA, and GDPR compliance reports for hundreds of clients. According to a detailed Substack investigation by DeepDelver, a leaked Google spreadsheet containing links to hundreds of confidential draft audit reports revealed that Delve generates auditor conclusions before any auditor reviews evidence, uses the same template across 99.8% of reports, and relies on Indian certification mills operating through empty US shells instead of the "US-based CPA firms" they advertise. Here's the breakdown: > 493 out of 494 leaked SOC 2 reports allegedly contain identical boilerplate text, including the same grammatical errors and nonsensical sentences, with only a company name, logo, org chart, and signature swapped in > Auditor conclusions and test procedures are reportedly pre-written in draft reports before clients even provide their company description, which would violate AICPA independence rules requiring auditors to independently design tests and form conclusions > All 259 Type II reports claim zero security incidents, zero personnel changes, zero customer terminations, and zero cyber incidents during the observation period, with identical "unable to test" conclusions across every client > Delve's "US-based auditors" are actually Accorp and Gradient, described as Indian certification mills operating through US shell entities. 99%+ of clients reportedly went through one of these two firms over the past 6 months > The platform allegedly publishes fully populated trust pages claiming vulnerability scanning, pentesting, and data recovery simulations before any compliance work has been done > Delve pre-fabricates board meeting minutes, risk assessments, security incident simulations, and employee evidence that clients can adopt with a single click, according to the author > Most "integrations" are just containers for manual screenshots with no actual API connections. The author describes the platform as a "SOC 2 template pack with a thin SaaS wrapper" > When the leak was exposed, CEO Karun Kaushik emailed clients calling the allegations "falsified claims" from an "AI-generated email" and stated no sensitive data was accessed, while the reports themselves contained private signatures and confidential architecture diagrams > Companies relying on these reports could face criminal liability under HIPAA and fines up to 4% of global revenue under GDPR for compliance violations they believed were resolved > When clients threaten to leave, Delve reportedly pairs them with an external vCISO for manual off-platform work, which the author argues proves their own platform can't deliver real compliance > Delve's sales price dropped from $15,000 to $6,000 with ISO 27001 and a penetration test thrown in when a client mentioned considering a competitor

论文来了。名字叫 MSA，Memory Sparse Attention。 一句话说清楚它是什么： 让大模型原生拥有超长记忆。不是外挂检索，不是暴力扩窗口，而是把「记忆」直接长进了注意力机制里，端到端训练。 过去的方案为什么不行？ RAG 的本质是「开卷考试」。模型自己不记东西，全靠现场翻笔记。翻得准不准要看检索质量，翻得快不快要看数据量。一旦信息分散在几十份文档里、需要跨文档推理，就抓瞎了。 线性注意力和 KV 缓存的本质是「压缩记忆」。记是记了，但越压越糊，长了就丢。 MSA 的思路完全不同： → 不压缩，不外挂，而是让模型学会「挑重点看」 核心是一种可扩展的稀疏注意力架构，复杂度是线性的。记忆量翻 10 倍，计算成本不会指数爆炸。 → 模型知道「这段记忆来自哪、什么时候的」 用了一种叫 document-wise RoPE 的位置编码，让模型天然理解文档边界和时间顺序。 → 碎片化的信息也能串起来推理 Memory Interleaving 机制，让模型能在散落各处的记忆片段之间做多跳推理。不是只找到一条相关记录，而是把线索串成链。 结果呢？ · 从 16K 扩到 1 亿 token，精度衰减不到 9% · 4B 参数的 MSA 模型，在长上下文 benchmark 上打赢 235B 级别的顶级 RAG 系统 · 2 张 A800 就能跑 1 亿 token 推理。这不是实验室专属，这是创业公司买得起的成本。 说白了，以前的大模型是一个极度聪明但只有金鱼记忆的天才。MSA 想做的事情是，让它真正「记住」。 我们放 github 上了，算法的同学不容易，可以点颗星星支持一下。🌟👀🙏 github.com/EverMind-AI/MSA

gives torment nexus

i've rejected landian accelerationism in favor of something far more rooted, extreme, and dangerous

fuck me china just launched the 1st AI model that autonomously built itself... and its as good as claude opus 4.6 and gpt-5.4 - minimax M2.7 trained itself through 100+ rounds of autonomous self-improvement. 30% gain. No humans involved - what the actual f*ck - model now handles 30-50% of the AI lab's OWN AI research - beats gemini 3.1 at coding and pretty much matches opus 4.6 + gpt 5.4 😶 (china used to lag now they match - doesn't require crazy hardware to run (single a30 gpu) - absolutely CRUSHES tasks: financial modelling, coding, openclaw - one-shotted the chinese have officially caught up. self-improving ai is a real thing. all researchers did was set an objective and the model figured the rest out. i wasn't expecting this from minimax. im now wondering wtf deepseek is going to be like.

Growth being the answer remains undefeated

I have been dreaming of this day for a long time. Arena is now a book publisher, and our first volume, "Silicon" is open for preorders. It's quite unlike anything you've seen: a coffee table book capturing the ecstatic beauty of silicon technology. arenamag.com/silicon