HN user
Agreed, this is one of the things I'm very surprised - one would think that a product like this is managed more consistently, but every few days there is another announcement or change in what the subscription can and can't do and to what extent.
Same also for the announced changes around `claude -p` and Agent SDK use that were backtracked
Is this the reason Anthropic extended use of Fable 5 via subscriptions until July 12? Seems a bit like it
Does this work cleanly when using multiple sessions with work trees?
Are there any details on the biology and chemistry work they did?
For example, the AAV capsid assembly looks interesting, but for one Opus 4.8 also did relatively well and there is no information what exactly they did, what protein language models they compared to and what the score even means...
Haven't benchmarked it, but for agentic coding e.g. Claude Code I found this useful:
I recently started using Paperless to manage all my documents and wanted to include archive serial numbers (ASNs) for all physical documents that I scan, so I built a small tool to create and print archive serial number label sheets with QR/Barcodes:
It's free, no sign up or ads - feedback welcome :)
I recently started with Paperless-ngx and wanted to also include archive serial numbers (ASNs) for all paper documents using small label stickers, so I built a small tool to create and print ASN label sheets. It's free, no sign up, no ads and just runs in the browser:
If you're also using Paperless-ngx with ASNs or use them for something else, feedback welcome :)
4, because it can be written as 2+2, 2*2, 2^2, and all the other following hyperoperations Hn(2,2)
Same experience, although I gave up already a while ago so not sure if CLAUDE.md is better followed in newer versions.
I wish there was a European alternative to PayPal et al., but Wero seems too be too little too late and too slow.
Not enough banks participating, no ability to connect multiple accounts, credit cards etc., no payments integration with vendors and finally no incentives to switch vs. the incumbents in the space - I guess you would need a serious marketing campaign with discounts, cashback etc. to get people to use it and reach a critical mass. But let's see - maybe I'm too pessimistic...
It'd be more interesting if they shared actual examples of complete prompts, CLAUDE.md files, settings and MCP servers to achieve certain things.
The documentation is good, but is kept relatively general and I have a feeling that the quality of Claude Code's output really depends on the specific setup and prompts you use.
No more "ultrathink", got it :)
I think you can already kind of do that with something like vibetunnel :)
Looks interesting! Does any request count towards credits, e.g. 4xx response codes, rate limit hits etc.?
Title and link don't seem to match.
That was very helpful, thanks! Might give it a shot later this week for a new API :)
Congratulations on the launch! I've been using CapRover in the past and wanted to try out Coolify recently, could you elaborate what the advantages of k3s/Longhorn might be (no experience with them)?
Are deployments from Github Actions possible (I'd assume some interface/API is needed for that)?
Thanks!
From the title I thought code or model weights had been leaked, but it's access to Sora through Huggingface by a group of early testers.
With their auth tokens being used to provide the API access, won't OpenAI find out really quick who is behind that?
Thanks, this was pretty funny. I also didn't realize how many different Pokémon there are today, definitely more than in the first Pokémon game on that clunky grey Gameboy I had :)
Crispr is widely used and there are even therapies approved based on it, you can actually buy TVs that use quantum dots and click chemistry has lots of applications (bioconjugation etc.), but I don't think we have seen that impact from AlphaFold yet.
There's a lot of pharma companies and drug design startups that are actively trying to apply these methods, but I think the jury is still out for the impact it will finally have.
Great achievement, although I think it's interesting that this Nobel prize was awarded so early, with "the greatest benefit on mankind" still outstanding. Are there already any clinically approved drugs based on AI out there I might have missed?
In comparison, the one for lithium batteries was awarded in 2019, over 30 years after the original research, when probably more than half of the world's population already used them on a daily basis.
I was a bit surprised when they initially announced this, there was also some discussion here around them making the shirts themselves, where people were quite skeptical:
https://news.ycombinator.com/item?id=40011314
But now I'm actually looking forward to my T-Shirt, Doggo Original Yellow it is!
Quite funny. I haven't used Google search in a while, is this just some artifact of Gemini + RAG taking search results from the internet at face value?
Or is this directly from the LLM's training?
Great article with very nice examples, really tempts me to play around with some of these techniques myself!
I saw an exhibition of Refik Anadol's Nature Dreams last year in Copenhagen, can only recommend to see one of his video installations if there is one near you, they are quite mesmerizing: https://refikanadol.com/works/
There's quite a lot going on in new approaches to generative design of bioactive molecules, proteins etc.
Remains to be seen however how big the impact will really be
Also no commercial use, from the paper:
AlphaFold 3 will be available as a non-commercial usage only server at https://www.alphafoldserver.com, with restrictions on allowed ligands and covalent modifications. Pseudocode describing the algorithms is available in the Supplementary Information. Code is not provided.
Cool idea! A back button would be nice to correct answers. It also sometimes suggests the same choice for both options that I wanted to decide between :)
I tried google.com, and it gave 403/429 errors from three locations (Nuremburg, Ashburn, Helsinki), which seems surprising - maybe an issue with Hetzner?
I work in data science for a pharma/chemical company. Broadly speaking, our team is applying machine learning to chemistry and biology-related problems. Those are usually falsifiable and can and will be validated through lab experiments.
The main problem here is that experiments tend to be expensive - depending on the problem a single data point can easily cost from $100+ (sample preparation and measurements) to $100k+ (e.g. synthesis of a new compound). So our datasets are often small, and there is some barrier for lab colleagues to trust/try out some new ML model vs their status quo.
But it is quite rewarding when it works and one also gets to interact with people from different disciplines on all sorts of interesting problems :)
One of the best things about switching to Firefox was that it has the option to "Close tabs to the Left". I never understood why you can't do that natively in Chrome.