
Too
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Too
@Too
Be yourself // 让 Twitter 考验你的想法或说法,连接有缘节点 // Don’t Panic! // FuckGFW, 为GFW出力的人不值得原谅


Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.


幸亏我很早就不定义我是纯纯写代码的人了,虽然我很享受写代码的过程。现在工作中大部分时间在回消息和写邮件,写代码对我来说是甜点。工作外写代码则感觉没有意义,我的水平不如 AI 😇

typeless,让我有按年付费订阅的冲动。 效果好到有aha 的感觉。 搭配inbox 来收集想法,转写+ai编辑后的质量已经没啥毛病可挑了(见截图的 3 大段话)。 之前我用过好多次ai 语音转写工具,例如 superwhisper、wisp flow,都挺贵的。但是,这次typeless 确实把体验做到了极致。 重度测试 typeless,也可以顺便思考一个问题:都是基于 whisper 模型,都是 ai 语音输入法,都是所谓的“ai 应用”,为什么差距能这么大? 现在每个人都可以免费试用一个月 typeless。试用结束后,就得决定是否包年了🤣 typeless.com/refer?code=PH5… (用这个邀请码,双方获得 5 美元额度)。
























