As someone who has used Deno on multiple hobby projects, I’m convinced Deno is where the JS ecosystem should be heading.
Professionally though, it’s complicated recommending it outside of specific and mostly tightly scoped use-cases. At some point the project just changes direction because of business reasons and you need node.
Deducta | Senior Frontend Product Engineer | London, UK | Hybrid (3 days/week in office) | £150k+ cash/equity
We’re a data intelligence platform for global enterprises. We are well funded, growing fast, and solving the most pressing data challenges for some of the largest and most recognizable companies in the world. The capabilities of SOTA LLMs enable us to this at an unprecedented scale and success rate.
We’re looking for a Senior Product Engineer (Frontend) to shape what our product looks like and how it’s built. Specifically:
- Lead on the deployment of LLMs as an enhancement/substitute to traditional interfaces
- Own feature developments and fixes across the frontend from ideation to deployment
Deducta | Senior Frontend Product Engineer | London, UK | Hybrid (3 days/week in office) | £150k+ cash/equity
We’re a data intelligence platform for global enterprises. We are well funded, growing fast, and solving the most pressing data challenges for some of the largest and most recognizable companies in the world. The capabilities of SOTA LLMs enable us to this at an unprecedented scale and success rate.
We’re looking for a Senior Product Engineer (Frontend) with strong design skills to shape what our product looks like and how it’s built. Specifically:
- Lead on the deployment of LLMs as an enhancement/substitute to traditional interfaces
- Own feature developments and fixes across the frontend from ideation to deployment
I know what you mean, biggest gripe I have with this game is how important it is to play the meta and boom early if you want to win at anything other than easy mode.
To be fair, for major features 30m to an hour isn’t out of this world. Browser testing is critical at this point but it _really_ slows down the AI in the last 15% of the process.
I can see overnight for a prototype of a completely new project with a detailed SPEC.md and a project requirements file that it eats up as it goes.
Poster is not from the US and has no interest in relocating due to the current political situation. This is a common sentiment among non-US but western professionals right now. Had the location been different, they probably would have been interested.
I’ve been using Warp (for the AI features) for a while now, but less and less these days. They’re way too agile with the UI/UX, things change around too much for it to be what it is supposed to be.
The first part of your post sounds almost like an ad for the Bambu Lab P1S. The second part sounds more like the Prusa CORE One kit (build volume is not a perfect match).
I really wouldn't bother buying anything else as a beginner. Pick between these two.
It's a weird thing in 3D printing right now that if you don't have the open source stuff as a requirement you get better print quality and reliability for half the price with Bambu Lab.
I really like Trigger but I would have loved some way to trigger it from the FE, it was a small part of our use case but it sucked having to implement a proxy for it.
I see a couple of people here bashing on the practicality of this project. That's obviously not the point, it's an interesting weird use case that's more explorative/educational than practical. I thought it was an interesting and inspiring read!
We're protecting the global poor by not letting them work for us is such a backwards piece of rhetoric that I'm always surprised by how casually it's brought up in stories like this.
DDG was such an absolutely subpar experience for me (used it for 6-8 months) that it wouldn't surprise me if nobody would _actually_ say it's better in a blind test. They just don't like Google.
Kagi on the other hand really blew me away, I have no idea how they're doing it, but I'm only using Google for one thing these days (besides G Shopping & G Maps) which is when I want to use ad spend as proxy for quality/reliability of the company (for example when I'm looking for a local moving company in my city).
> Additionally, a lot of water is also used in cooling for the servers that run all that software. Per conversation of about 20 to 50 queries, half a litre of water evaporates – a small bottle, in other words.
What? I have no idea about server farm cooling, can anyone explain this to me?
Indeed, an article making the opposite point would probably make more sense.
This article even opens with the point that smaller languages have less Wikipedia content and somehow blames "Tech". A language having less articles is a people/popularity problem. You being able to read them anyway through machine generated translations is a tech thing.
> How do we know that $7 trillion invested into LLMs and their infrastructure would not simply exacerbate those costs, grinding down content creators, women, and the environment, undermining democracy, destroying jobs, etc?
“Destroying jobs” is pretty much a _good_ thing. I think we’re all pretty happy we don’t need dedicated people anymore for a lot of tedious tasks that we take for granted these days (washing clothes etc)