axg11

Yes: Deep Research (OpenAI/Google/Perplexity), Devin, Ribbon.ai to name a few.

There are plenty.

I wrote an in-house one for Ribbon. If there’s interest, will open source this. It’s amazing how much better our LLM outputs are with the reducer.

Two-way interaction is of course valuable but it's only valuable with the team you'll actually be working with. You will never work with the recruiter who is responsible for your screening interview.

I've heard this sentiment. Have you been through a screening interview with a recruiter before? It's most often very formulaic and they don't have expertise in your domain. On top of that you have to find a mutual time that works for the recruiter 9-5pm.

With this approach you can interview anytime 24/7 and get a consistent experience.

Fixing the Firefox issue - thanks for pointing that out.

Great point. Here's a video below but I'll work on un-authed access.

https://imgur.com/wIaGDrU

I would change the main CTA to "Try it now" and then use a different style for "Read the stats". It currently looks like there are two equally important CTAs.

If you can find a way to make the results closer to real-time, this will be a really popular product.

This is a sensible strategy. Apple finally revealed their cards after 5+ years of rumours surrounding the Apple Vision Pro. Meta doesn't have the brand strength to launch a true high-end XR headset that can compete with the Vision Pro. Instead, they're trying to capture the lower end of the market.

Go one level deeper and you'll find the problem with all of academia (source: I have a PhD).

Most of academic science as we know it today is structured so that the output is "publishable" and/or helps future grant applications. Incremental improvements are very publishable, but that doesn't necessarily make good science. Grants are awarded to scientists who are consistently able to deliver results, in the form of published papers. I can only really speak for my little corner of science, but from my view, the entire incentive structure of science is broken.

Ribbon | Remote or On-Site | Toronto, Canada | Full Time https://ribbon.cool

Ribbon is to LinkedIn as BlueSky is to Twitter. We're rebuilding the world of professional social networks and employee recognition to be centred on one thing: ownership. We believe that everything you accomplish and achieve should be recognized and owned by you (not by a third party). When you move between organizations, your achievements and benefits should move with you. Ribbon is "Proof of Achievement".

We’re backed by top tier investors and operators from across the globe. We’re hiring full stack developers for our founding team - join us!

More info here: https://ribbon.cool and here: https://ribbon.cool/hiring

To apply email arsham[at]ribbon[dot]cool

Ribbon | Remote or On-Site | Toronto, Canada | Full Time https://ribbon.cool

Ribbon is to LinkedIn as BlueSky is to Twitter. We're rebuilding the world of professional social networks and employee recognition to be centred on one thing: ownership. We believe that everything you accomplish and achieve should be recognized and owned by you (not by a third party). When you move between organizations, your achievements and benefits should move with you. Ribbon is "Proof of Achievement".

We’re backed by top tier investors and operators from across the globe. We’re hiring full stack developers for our founding team - join us!

More info here: https://ribbon.cool and here: https://ribbon.cool/hiring

To apply email arsham[at]ribbon[dot]cool

Ribbon | Remote or On-Site | Toronto, Canada | Full Time

https://ribbon.cool

Ribbon is rebuilding the world of professional social networks and employee recognition to be centred on one thing: ownership. We believe that everything you accomplish and achieve should be recognized and owned by you (not by a third party). When you move between organizations, your achievements and benefits should move with you. Ribbon is to "Proof of Achievement" as Worldcoin is to "Proof of Human".

We’re backed by top tier investors and operators from across the globe. We’re hiring full stack developers for our founding team - join us!

More info here: https://ribbon.cool and here: https://ribbon-awards.notion.site/Ribbon-d8e4aecc4c064e89a8d...

To apply email arsham[at]ribbon[dot]cool

I don't think _this_ is a security check. These are essentially unlisted plugins. They will be released/approved and this is a way to allow some user to test the plugins (different client side software).

What would it even mean to be an open source Cloudflare? The entire point of Cloudflare is that they run the tricky stuff for you. As another user said here, you can use nginx and lots of other OSS to achieve the same end goals. You will work much harder for it though.

A key detail a lot of people are missing about "traditional" search vs. ChatGPT style search:

ChatGPT/LLMs can essentially crawl _anything_ they want, regardless of legality, license, consent, etc. These models are trained on anything that can be ingested. Once trained, you can release the model with plausible deniability. There's no 1:1 relation between ingested content and outputs. LLMs that "cheat" by ingesting content they shouldn't have will have an advantage over those that don't.

Google and other search engines don't have this luxury. If they serve a result, they have to make sure that they're not violating any license. If they crawl the wrong content, they have to make sure they don't serve it.

I disagree that LLMs are overhyped, but it's very subjective. Are current LLMs a few steps from AGI? No. Will LLMs change the computing landscape? Yes, I believe they will.

ChatGPT, without any major changes, is already the best tool out there for answering programming questions. Nothing else comes close. I can ask it to provide code for combining two APIs and it will give useful and clean output. No need to trudge through documentation, SEO-hacked articles, or 10 different Stack Overflow answers. Output quality will only improve from here. Does it sometimes make mistakes? Yes. There are also mistakes in many of the top SO answers, especially as your questions become more obscure.

Aside from programming, how many other fields are there where LLMs will become an indispensable tool? I have a PhD and ChatGPT can write a more coherent paragraph on my thesis topic than most people in my field. It does this in seconds. If you give a human enough time, they will be able to do better than ChatGPT. The problem is, we're already producing more science within niche scientific fields than most scientists could ever read. As an information summary tool, I think LLMs will be revolutionary. LLMs can help individuals leverage knowledge in a way that's impossible today and has been impossible for the last 30 years since the explosion in the number of scientific publications.

ChatGPT is actually quite good at this and I think it's a hint at the future of alignment. Many (most?) of the responses from ChatGPT are along the lines of: I don't know, I can't know, I can't respond, etc. It's still far from perfect but I think exploring the results of human feedback for alignment is one of the reasons OpenAI decided to release ChatGPT rather than rush straight to GPT4 (larger model, more data, retrieval, etc.).

Ribbon | Remote or On-Site | Toronto, Canada | Full Time

http://ribbon.cool/careers

Ribbon is rebuilding the world of professional social networks and employee recognition to be centred on one thing: ownership. We believe that everything you accomplish and achieve should be recognized and owned by you (not by a third party). When you move between organizations, your achievements and benefits should move with you.

We’re backed by top tier investors and operators from across the globe (to be announced soon - we're currently semi-stealth).

We’re hiring full stack developers for our founding team - join us!

More info here: http://ribbon.cool/careers To apply email arsham[at]ribbon[dot]cool