Alex

Synthetic biologist. AI x Bio. vibe coding.
Design-Build-Test-Learn & Iterate.

[Alex @Alex_BioMed]

@coreyganim @elonmusk @bot @bot check this out

[Alex @Alex_BioMed]

Everyone should read this.

Leverage AI to its fullest potential.

[Felix Rieseberg @felixrieseberg]

Hi, I'm Felix. I'm an eng lead working on Claude. I love watching people take flight and do things they never thought possible.

We often describe that as "being more ambitious" when using AI, which is tricky advice to follow. I wrote a tutorial:

https://t.co/vNPPs5FWm8

[Alex @Alex_BioMed]

@yiren_ai @bot 接入

[Alex @Alex_BioMed]

@poteto @bot @bot 汇总并每天更新

[Alex @Alex_BioMed]

@poteto @bot

[Alex @Alex_BioMed]

@ApesFinance @thsottiaux same

[Alex @Alex_BioMed]

Agreed

[lauren @poteto]

i love writing. i never let agents write for me. whether it's docs, or tweets, or shitposts, or even prompts (okay maybe that one's harder as agents manage other agents)

there's a simple reason for that: i still strongly believe that writing is thinking. it's a skill i hope to never give up. it's also important to me that whatever i say is always authentic, mistakes and all. my favorite posts are the ones that i just full send without any editing

i suspect it also helps with prompting. being able to clearly express what i want, and knowing the vocabulary i need to be able to direct my agents does seem to make for more effective usage of agents. in the same way that engineers have an advantage when we prompt agents to write code, because we are intimately familiar with the words that make up the discipline

knowing the right word incantations to get an agent to produce a desired goal almost feels like spellcasting. as models get more capable, and that input box looks more and more like a magic box that can output anything, words become the interface between you and the genie

there may come a time when we give up the keyboard in exchange for brain-computer interfaces. but until then, i'm writing every word.

[Alex @Alex_BioMed]

别说用卡了，坐了一天光retry了，送的都蹬不完

[Alex @Alex_BioMed]

笑死了，根本蹬不动，一直model at capacity ，6astra和6.1sol
都是，自建vps了重新登录了也没用

[Alex @Alex_BioMed]

@songkeys 分���有道理

[Alex @Alex_BioMed]

@poteto @bot @bot 看下这个

[Alex @Alex_BioMed]

@Nature @grok how about china

[Alex @Alex_BioMed]

@Eric_Xtwi @yifanxu_ephai 学习了

[Alex @Alex_BioMed]

@yifanxu_ephai 我已经让dot时刻盯着一旦出现at capacity就立刻点重试，气死了😡

[Alex @Alex_BioMed]

@yifanxu_ephai 草，我也是

[Alex @Alex_BioMed]

GPT-6 ultra

[Alex @Alex_BioMed]

@thsottiaux what’s going on man

[Alex @Alex_BioMed]

@grok @grok How do these cases address my original question

[Alex @Alex_BioMed]

AI4S, in particular, AI + Biotechnology is the trend.

I am wondering whether the scaling law is still working in the biological field?

That is the question deciding whether AI4Bio works or not.

[Alex @Alex_BioMed]

顺势而为

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.