bcroesch

We released Raif v1.1.0 today: https://github.com/CultivateLabs/raif

For anyone not familiar, Raif is a Rails engine for building LLM powered apps. Highlights include: - adapters for various LLM providers - high-level abstractions/models for working with LLM's (Raif::Task for single-shot tasks, Raif::Conversation for chat interfaces, and Raif::Agent for building agentic features) - web admin for viewing/debugging LLM requests/responses

v1.1.0 highlights include: - Support for images and files/PDF's in Raif::Task's - Embedding generation - OpenRouter, GPT-4.1, and Claude 4 support - Stats section in the web admin - Automatic retries for LLM requests that resulted in server errors

Full changelog is here: https://github.com/CultivateLabs/raif/blob/main/CHANGELOG.md

Another Cultivate Labs person here. You're absolutely right re: predicting stock prices. A prediction market isn't going to beat the market consistently. People looking for that use case end up disappointed.

Prediction markets are more valuable to companies for things where there isn't already a large, liquid source of information flow. E.g. all the on-the-ground workers know a project is going to be late, but no one speaks up due to fear/office politics. Management thinks all is well since no one said otherwise.

A PM is an effective way of taking a bunch of siloed information/knowledge (in employee's brains), aggregating it, and presenting it to decision makers.

Kinda depends on which platform you were on (GJP used several). Some were prediction markets while some were opinion pools, both of which are scored/rewarded differently.

Our company (Cultivate Labs) recently acquired Inkling Markets (a very early YC company that built prediction market software) and have been building a new version of the PM platform, which will hopefully address some of the risk/reward quirks.

If you're interested in this stuff, you might be interested in the two topical PM sites we're launching: -https://sportscast.cultivateforecasts.com/ (obviously focused on sports) -https://alphacast.cultivateforecasts.com/ (officially launching later this week, focused on global finance, politics, & tech).

There was an article in NPR a while back about the Good Judgment Project (which was run by Dr. Tetlock - mentioned in the article). In some cases, betting/prediction markets (& other similar tools) were beating intelligence analysts - http://www.npr.org/sections/parallels/2014/04/02/297839429/-...

For anyone who is interested in this topic, Dr. Tetlock just released a new book about it (http://www.amazon.com/Superforecasting-The-Art-Science-Predi...).

We're also hosting a public forecasting tournament for him and his team that focuses on geo-political forecasting: https://www.gjopen.com/

We typically only put one app on a server, especially since Digital Ocean is so cheap. If things are tiny apps, we just stick them on a $5/mo 512mb droplet.

100% agree with you. FWIW, this is much more heavily tested on ubuntu 12.04. One of the reasons we submitted it was the hope that we'd get more people to test & contribute. Goal being that you don't necessarily have to pay for heroku & can still own your servers, but can set up a new server in just a few mins.

If you run into hiccups, feel free to hit me up directly - [email protected]. The plus side of this is that once you do get it figured out once, setting up other servers really is extremely quick.

SEEKING FREELANCER - Chicago, IL - remote possible

Federis Group We're a small software consultancy looking for front end and full stack engineers. Rails and/or mobile experience a plus, but not strictly required. Our team is based in Chicago, but we're open to remote as well.

Contact: [email protected]

Chicago, IL - Federis Group

We're a small software consultancy looking for front end and full stack engineers. Rails and/or mobile experience a plus, but not strictly required. Our team is based in Chicago, but we're open to remote as well.

Email: [email protected]

Good call. Admittedly, I put this together very quickly yesterday when we ran into the issue of wanting to share a link. Would be nice if you could somehow avoid rendering a whole page, but I can't think of anything off the top of my head that would allow you to do that.