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suncemoje

122 karma · joined September 8, 2024

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suncemoje··on Early progress on accelerating drug development with Claude
> "My money is on Eli Lilly leveraging AI to develop drugs vs Anthropic becoming Eli Lilly"

I just thought Tesla was a good example here, of how innovation and speed of execution can enable a new entrant to outperform established competitors.

> (Also: Same site, but click on earnings instead of market cap).

Well yes, I'm not going to argue about that one, the market is the market...

suncemoje··on Early progress on accelerating drug development with Claude
Part of me is with you, part of me thinks about Tesla: https://companiesmarketcap.com/automakers/largest-automakers...
suncemoje··on Local Wikipedia: Wikipedia, but only for things a half hour walk from you
I was going to mention Google Maps as well - IMO would be useful to add reviews from there to get a better sense of suggested places
suncemoje··on Claude Duet
I’m not best friends with this stuff yet either; but sometimes to me it’s a nice layer of abstraction for everything and anything regarding your digital life.
suncemoje··on Most advice is right for the person giving it
I found it refreshing when I heard Sam Altman "refuse" to give advice on Lex Fridman's podcast a few years ago:

"I tell people not to listen to too much advice. Listening to advice from other people should be approached with great caution ..." [0]

[0] https://youtu.be/L_Guz73e6fw?si=J7iKIBd5h9Avdu5S&t=8329 (timestamped)

suncemoje··on Agentic Monitoring
> In my iteration on this, I’ve found that a pure agent loop is not the optimal shape for agentic monitors. Rather, a harness that allows the agent to write a spec of how to monitor, along with a deterministic system for running those specs, produces significantly cleaner signals with dramatically lower token usage.

Would be curious:

1. How / at what interval does it run those specs?

2. Are these basically just queries? Or what's included in a "spec" that an agent executes on?

suncemoje··on Agentic Monitoring
> With a couple of terabytes of logs per day, god knows how many metric timeseries, thousands of cloud environments, thousands of repositories, hundreds of thousands of build pipelines running every day, it's not something you can just point an agent at and call it a day. Segmenting and correlating the data is _hard_.

In my experience, this is exactly what LLMs / a simple agentic system with one or more sub-agents and a few tools are extremely good at.

suncemoje··on DeepInfer: High-performance inference framework for DeepSeek models
I think we share the same view here, which I think is most widely discussed as "AI capability overhang". Like you also said, a large, growing amount (digital) tasks can already be completed reliably with existing models. For those - this was my point - the models are competing on price, speed, reliability, etc.

I also agree that more capable models are still desirable in plenty of spaces. I just see that there is so much lag in the diffusion of existing models, which, again, are already sufficiently capable.

suncemoje··on DeepInfer: High-performance, large-scale inference framework for DeepSeek models
> Which means continuing to develop and release new models. At huge expense.

I guess my question is when do we say a model is "good enough"? For my use cases Opus 5.5 feels as if it is exactly at that point. And at that point of course one of the main factors I will evaluate against is price. So far I am happy with my (heavily subsidized) subscription, but if the time comes, I'll happily switch the inference API any of my agents are calling. So far I have no big lock in on any providers.

suncemoje··on Alternatives to animal testing are finally taking off
IMO the most interesting research in this field is being done by DeepMind, which is to build an actual virtual cell [1]. Would be curious to know if the team / Demis is still finding adequate time to advance this field amidst the LLM boom.

[1] https://www.youtube.com/watch?v=CEOOMYxMvY4 (Note: I have heard Demis Hassabis speak about this topic in a few sources, this was the quickest one I could find where he talks in depth about it)

suncemoje··on Alternatives to animal testing are finally taking off
It’s not just a question of cost. Our biological mechanisms are so complex, there is no single system that can tell us whether a drug is 100% safe or not. That’s why drugs are eventually also “tested” in humans during clinical trials. How amazing would it be if we could throw any drug/compound into a computer, then also spit in it, and get a personalized efficacy score as a response…?
suncemoje··on Alternatives to animal testing are finally taking off
> It should be a tiered system, IMO.

It is a tiered system, at least if you look at big pharma. There are many stages in the pharmaceutical drug development process.

Also human testing (clinical trials) have different stages/tiers to maximize learning and minimize risk at every stage. A lot of companies trying to innovate here.

I’m exited what more AI can bring to this space.

suncemoje··on Bleached corals thrive within days when touching healthy neighbour
> TLDR Yes but it's complicated. There are more suitable algae species but AFAIK coral under heat stress will still often expel the algae even if the algae isn't the one stressing the coral.

Maybe the pharmaceutical industry can target a new market here...

suncemoje··on DeepSeek search and fetch – $0.75 per 1000 successful requests
ScraperAPI and ScrapingDog. The latter also offers Google Search at a fraction of the official Google API price. Wrap their APIs into an agent/MCP tool et voilà.
suncemoje··on Bleached corals thrive within days when touching healthy neighbour
That makes me wonder - I’m sure it’s not a novel thought - if there is a more suitable species of algae for these conditions we can inject into bleached corals?

Impressive that corals have such a survival mechanism. But hopeless if no other species of algae can enter another symbiotic relationship with them?

suncemoje··on DeepSeek search and fetch – $0.75 per 1000 successful requests
About a year ago I built my own search and fetch MCP tools for agents based on third-party scraping providers. It is about 15-20x more cost-effective than what OpenAI and Anthropic is offering with their integrated web search and fetch tools. Very impressive that DeepSeek has such a competitive offering today.
suncemoje··on Bleached corals thrive within days when touching healthy neighbour
> Bleached corals are not dead

My open questions would be:

1. What's the consequence of corals expelling algae?

2. Why does heat make corals expel algae?

suncemoje··on I know why the mathematicians weep
Universal Basic Income, ah no sorry, Universal High Income...

I would like to say "let's see how that goes". But I'm afraid I don't quite trust that "things will just go well". At least not nearly as fast as A(G)I development is happening. I feel fortunate that I don't worry about this too much personally, but I fear for our economy, laid off (office) workers, their families, in a few months and years. What am I to do? How can we fix this? Am I exaggerating?

suncemoje··on I know why the mathematicians weep
> Remote working is enough of a embuggererance for my mental health

Where I work we have a 100% office policy. And while that sometimes feels hilarious, I am also somewhat glad about it because I like working and connecting with people physically.

However, as mentioned, I do notice that even though I am physically in the office most days, I spend an increasing amount of time alone on my computer and work with my agents. It’s satisfying in it’s own way, and I am definitely more productive. But it’s also worrisome. The pace of this development is picking up, and I don’t yet see where this is going exactly, or if I like where what I can see is going.

Related: We recently interviewed a candidate who worked remotely for the past 3-4 years. He said he'd be looking forward to work in the office again. I could honestly feel that he meant it, and I understand that. I guess some mix of both is the best.

suncemoje··on I know why the mathematicians weep
> the role that AI play as a conversation partner is so frictionless, so controlled, that we get none of the rough edges of human interaction that form us into a functional social being.

I wonder if there's a tangent with social media here, at least some of it, where in my experience "a perfect life lived by influencers" is portrayed to us.

suncemoje··on I know why the mathematicians weep
> they would have to not lose context (or at least keep some).

I guess you can start to see that happen (for a while now) with e.g., ChatGPT, Claude, etc. keeping persistent memory of you, automatically.

Personally, I often find these memorization features annoying, because - more often than not - the persisted context is outdated because something in my real life changed that ChatGPT & co are not aware of.

suncemoje··on Felix Rieseberg Homepage
Sure, I guess it was "just" a case study in how excessively far you can take your idea (or "taste") by supplementing and supercharging it with agents.

IMO the interesting part with this capability now (undoubtedly?) is to find the right applications/problems to solve... and yeah, why not every now and then have some fun and go full overkill with your personal website :-)

suncemoje··on I know why the mathematicians weep
> You are made one step closer to complete worthlessness, which will surely continue as AI becomes a more satisfying personal companion, a more worthwhile friend, lover, etc.

I recently thought about this and fear that AI may further drive us humans apart.

Instead of working with humans, I increasingly work with a fleet of agents.

suncemoje··on The United Kingdom generates less electricity per person than in the 1970s
> [...] two of our three factory buildings are now covered in solar cells [...] Some big industrial sites have on-site wind-powered generation too.

And increasingly, batteries are also coming to such sites. Would be very interested in learning more about the study's analysis/impact regarding this trend.

suncemoje··on Switzerland proposes banning profiling-based ads to minors
yes please, sign me up for a free trial...
suncemoje··on Felix Rieseberg Homepage
Personally, I am stunned at how fast - and autonomously - you can get to a very decent 80/20 result with AI these days. And since Opus 5.5 was released I really think it hit another level.

As an example, this was a "silly" one-shot prompt/result I created/received, which goes into a similar direction of what Felix created in terms of UX and aesthetics:

https://poster-pillar.sidequests.p-john.com/

Sure it lacks the finish and attention to detail. But this was one prompt (vs. 60 threads).

Thoughts: I find this both exciting and a bit unsettling. Idea-to-product time in tech just keeps shrinking and shrinking. I feel limited by my own ideas now (1), and by the fact that everything still remains "digital" - ChatGPT still can't build me a house or fix my broken knee (2).

suncemoje··on What California is learning from solar panels built over irrigation canals
Why?
suncemoje··on What California is learning from solar panels built over irrigation canals
In Switzerland, which is quite densely populated, they even have a pilot project with putting solar panels between rail road tracks:

https://www.swissinfo.ch/eng/emissions-reduction/solar-energ...

suncemoje··on Watch Los Angeles get built, one building at a time (1880–2026)
Agree, I personally also think dark mode never goes well with a map-based app...
suncemoje··on WebMCP: Teaching Your Website to Talk to AI Agents
Use Claude Code with Chrome MCP / Claude in Chrome and it'll happily do it for you, 100%
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