Jon 🇺🇸🇺🇦

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Jon 🇺🇸🇺🇦

Jon 🇺🇸🇺🇦

@athst

@[email protected]

San Francisco, CA Katılım Ağustos 2009
5K Takip Edilen496 Takipçiler
Jon 🇺🇸🇺🇦
It’s like criticizing runners for running too many miles. Yes, there may ultrarunners who are running hundreds of miles and breaking down there bodies. But, for most people, they’d do a lot better if they ran more.
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Jon 🇺🇸🇺🇦
At the extremes, Goodhart’s Law makes tokenmaxxing look silly. But the average employee right now doesn’t know how to use AI properly. They don’t know how to spend that many tokens. So tokenmaxxing is actually a good policy.
Jeremiah Johnson 🌐@JeremiahDJohns

I know a few people inside Big Tech, and I'm sorry to report but Token Psychosis is real. Their bosses are hyperfixated on AI usage and tracking who uses the most tokens, so they're essentially running agents 24/7 on do-nothing tasks just to use more tokens. Incredible stuff.

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Jon 🇺🇸🇺🇦
@buccocapital Unfortunately the dynamics of the job market are such that a lot of companies can do this and candidates have no choice
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BuccoCapital Bloke
BuccoCapital Bloke@buccocapital·
There is something that feels so viscerally disgusting about conducting interviews using an AI agent It’s probably the most pathetic and dehumanizing example of AI I’ve seen so far Literally everyone I’ve talked to about it has said they’d never work for a company who does it
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Jon 🇺🇸🇺🇦
Jon 🇺🇸🇺🇦@athst·
Wanted to give them the benefit of the doubt, but Opus 4.7 has been pretty bad for me. Takes at least 2-3x the tokens to complete an equivalent task as 4.6, so I run out way faster than before. The results aren’t significantly better either, certainly not 2-3x better
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Jon 🇺🇸🇺🇦
Jon 🇺🇸🇺🇦@athst·
@buccocapital It seems like teams there are just blasting out random products and features in like a week from start to finish. I’m guessing they didn’t know about it until very late
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BuccoCapital Bloke
BuccoCapital Bloke@buccocapital·
Kinda weird the Chief Product Officer of Anthropic was on Figma’s board the whole time Anthropic was building their design tool
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Jon 🇺🇸🇺🇦
@karpathy I’ve been wondering how this will be used in a work context. People should be able to leverage their personal knowledge bases to do their work without surrendering what they’ve built up over time to the place they’re working for at a given moment.
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Andrej Karpathy
Andrej Karpathy@karpathy·
Farzapedia, personal wikipedia of Farza, good example following my Wiki LLM tweet. I really like this approach to personalization in a number of ways, compared to "status quo" of an AI that allegedly gets better the more you use it or something: 1. Explicit. The memory artifact is explicit and navigable (the wiki), you can see exactly what the AI does and does not know and you can inspect and manage this artifact, even if you don't do the direct text writing (the LLM does). The knowledge of you is not implicit and unknown, it's explicit and viewable. 2. Yours. Your data is yours, on your local computer, it's not in some particular AI provider's system without the ability to extract it. You're in control of your information. 3. File over app. The memory here is a simple collection of files in universal formats (images, markdown). This means the data is interoperable: you can use a very large collection of tools/CLIs or whatever you want over this information because it's just files. The agents can apply the entire Unix toolkit over them. They can natively read and understand them. Any kind of data can be imported into files as input, and any kind of interface can be used to view them as the output. E.g. you can use Obsidian to view them or vibe code something of your own. Search "File over app" for an article on this philosophy. 4. BYOAI. You can use whatever AI you want to "plug into" this information - Claude, Codex, OpenCode, whatever. You can even think about taking an open source AI and finetuning it on your wiki - in principle, this AI could "know" you in its weights, not just attend over your data. So this approach to personalization puts *you* in full control. The data is yours. In Universal formats. Explicit and inspectable. Use whatever AI you want over it, keep the AI companies on their toes! :) Certainly this is not the simplest way to get an AI to know you - it does require you to manage file directories and so on, but agents also make it quite simple and they can help you a lot. I imagine a number of products might come out to make this all easier, but imo "agent proficiency" is a CORE SKILL of the 21st century. These are extremely powerful tools - they speak English and they do all the computer stuff for you. Try this opportunity to play with one.
Farza 🇵🇰🇺🇸@FarzaTV

This is Farzapedia. I had an LLM take 2,500 entries from my diary, Apple Notes, and some iMessage convos to create a personal Wikipedia for me. It made 400 detailed articles for my friends, my startups, research areas, and even my favorite animes and their impact on me complete with backlinks. But, this Wiki was not built for me! I built it for my agent! The structure of the wiki files and how it's all backlinked is very easily crawlable by any agent + makes it a truly useful knowledge base. I can spin up Claude Code on the wiki and starting at index.md (a catalog of all my articles) the agent does a really good job at drilling into the specific pages on my wiki it needs context on when I have a query. For example, when trying to cook up a new landing page I may ask: "I'm trying to design this landing page for a new idea I have. Please look into the images and films that inspired me recently and give me ideas for new copy and aesthetics". In my diary I kept track of everything from: learnings, people, inspo, interesting links, images. So the agent reads my wiki and pulls up my "Philosophy" articles from notes on a Studio Ghibli documentary, "Competitor" articles with YC companies whose landing pages I screenshotted, and pics of 1970s Beatles merch I saved years ago. And it delivers a great answer. I built a similar system to this a year ago with RAG but it was ass. A knowledge base that lets an agent find what it needs via a file system it actually understands just works better. The most magical thing now is as I add new things to my wiki (articles, images of inspo, meeting notes) the system will likely update 2-3 different articles where it feels that context belongs, or, just creates a new article. It's like this super genius librarian for your brain that's always filing stuff for your perfectly and also let's you easily query the knowledge for tasks useful to you (ex. design, product, writing, etc) and it never gets tired. I might spend next week productizing this, if that's of interest to you DM me + tell me your usecase!

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Jon 🇺🇸🇺🇦
Jon 🇺🇸🇺🇦@athst·
@buccocapital I’ve been thinking about this problem. There should be a way for a worker to share their context temporarily for work, but not have to give up their entire knowledge to a company permanently. It should be like how some trades own their own tools that they bring to work
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BuccoCapital Bloke
BuccoCapital Bloke@buccocapital·
Claude Cowork is blowing my mind. But it’s only as good as the context it can gather The race is on to capture every piece of context in the organization Companies will use carrots and sticks to get that context out of their worker’s brains. Work is about to get very weird
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Jon 🇺🇸🇺🇦
Jon 🇺🇸🇺🇦@athst·
@SynabunAI Yeah that’s what I mean - the signal is much higher so it’s much more useful for the AI
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synabun.ai
synabun.ai@SynabunAI·
The privacy angle matters too - keeping context local instead of sending it to a third-party app. Obsidian + Claude Code gives you that. The handwritten notes piece is interesting - that friction probably makes you more selective about what actually gets captured, which is a feature not a bug.
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Jon 🇺🇸🇺🇦
Jon 🇺🇸🇺🇦@athst·
Hey everyone, we’re “build first” now! First step, you need to write that prompt…
Madhu Guru@realmadhuguru

At @Google, we are moving from a writing‑first culture to a building‑first one. Writing was a proxy for clear thinking, optimized for scarce eng resources and long dev cycles - you had to get it right before you built. Now, when time to vibe-code prototype ≈ time to write PRD, PMs can SHOW not tell. Role profiles are blurring, creativity and building are happening in parallel.

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Jon 🇺🇸🇺🇦@athst·
@randomrecruiter All of the folks on tech who’ve been laid off the past ~2 years who will have these gaps… are they just screwed then?
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The Random Recruiter
The Random Recruiter@randomrecruiter·
We had a few qualification calls with hiring managers today. Here’s what they don’t want to see: 1. Frequent job hopping with no clear reasoning 2. Big gaps in work history you can’t explain Take that for what it is.
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Jon 🇺🇸🇺🇦
Jon 🇺🇸🇺🇦@athst·
The silver lining to this awful era is that it allows a lot of tech/silicon valley people to show who they really are. People will be less trusting of tech in the future, which they probably should be.
BuccoCapital Bloke@buccocapital

Embarassing thing to tweet. Here's a non-exhaustive list of state-led initiatives that made life better for the weak + poor: - Deposit insurance - Clean Air Act - Ending leaded gasoline - Child labor laws - Child vaccination programs - OSHA - Rural electrification - GI Bill

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