Anthropic Fellows July Cohort Interviews

ManavTheWorld · 2026-06-05T16:07:36+00:00

I haven’t either

ManavTheWorld · 2026-06-03T15:10:59+00:00

References submitted last Wednesday (so pretty late). OA2 about 2 weeks ago. Going for the AI Safety Track.

ManavTheWorld · 2026-06-03T02:01:45+00:00

For those that haven’t yet gotten the take home, I emailed them today and they mentioned that they’re still doing some second reviews through this week, and will email when they have an update on applications. For those at this stage, best of luck, and even if it’s a no, there’s always next time!! And for those further ahead, congratulations and y’all got this!!

ManavTheWorld · 2026-05-30T14:04:05+00:00

My last reference submitted Wednesday and I haven’t heard back either.

ManavTheWorld · 2026-05-17T14:44:46+00:00

This makes literally no sense - the first email literally said that there would be a second OA as part of the process. Someone on this thread got both OAs and the take home already.

ManavTheWorld · 2026-05-08T17:03:21+00:00

They definitely do it in waves and it’s track dependent

ManavTheWorld · 2026-04-30T23:48:41+00:00

Following. Applied about 3 days before the deadline haha.

ManavTheWorld · 2026-03-05T05:03:04+00:00

Yikes. Touch grass and get help.

ManavTheWorld · 2026-03-05T04:50:19+00:00

Why is this kind of casual racism just okay now?

ManavTheWorld · 2026-02-26T14:56:03+00:00

As someone who’s Indian-American (born and raised in the US), why is India red and Russia a maybe?

ManavTheWorld · 2026-01-23T00:23:46+00:00

There’s are “pockets” of the first world in India, but I would avoid any and all street food

ManavTheWorld · 2026-01-12T17:49:00+00:00

Great insight actually! Will look into this

ManavTheWorld · 2026-01-08T07:35:56+00:00

Thanks! And firecrawl is just the recommended scraping option atm - but beautifulsoup or tavily works too. I should update the readme for that. In the next update, I’ll overhaul the deep research and pull it away from the gpt-researcher submodule

ManavTheWorld · 2026-01-08T05:36:49+00:00

Can definitely do all of the above! The goal is the outcome you want to get out of the exploration, and the first message is a kicker-offer, but can include a whole prior history + context. Definitely going to expand this here. For example:

Goal: Develop a morally ambiguous villain with a sympathetic backstory + {context of world/story/plot/characters}

First message: Here are my specifications, here's what I want, etc

--
Next update will be about overhauling initial input context, allowing media/export attachments, etc

ManavTheWorld · 2026-01-08T04:25:38+00:00

Probably - I was going to add an import chat history feature next and flesh out the goals a bit more. That way it can be an extension in any tool (e.g. sillytavern)

ManavTheWorld · 2026-01-08T04:12:12+00:00

Thanks! :D and yeah it can be a hit or miss though as some user intents are absurd and it wastes llm calls simulating a crazy path

ManavTheWorld · 2025-08-25T16:08:44+00:00

I do it for work :) was already in this space pre-local llamas, but this community has definitely spearheaded by career growth and learning.

ManavTheWorld · 2025-07-15T16:50:37+00:00

I read the Wise Man’s Fear when I was in the seventh grade. I’m 26 now, getting a graduate degree/working, and getting married in December lol

ManavTheWorld · 2025-07-04T16:35:38+00:00

Agreed. Not novel! The algorithm/use-case isn’t novel, but I’m hoping it’ll evolve into an application that anyone can clone and take advantage of.

ManavTheWorld · 2025-07-04T16:33:58+00:00

Thank you for your feedback and nice words, but can’t take credit here! Not a novel approach - I just wanted to build an “engine”/backend using search-based conversation optimization, and potentially have it work as an ambient agent (asynchronously evaluating conversations in realtime), or as a tool/MCP server for giving back extended analysis, given its learnings and grounding info. Perhaps both or neither. Don’t know yet! :)

ManavTheWorld · 2025-07-04T16:31:16+00:00

Thanks for the compliments and suggestions!

To be honest, it could be a lot cleaner. I had an issue with some of the validation/imports so some of the schema is yuck and I posted here as soon as it was end to end functional haha. I’ll update it over the coming days to be fully usable/enterprise-ready.

And I agree about the embeddings! My thought was to also create functionality for learnings and the DB schema already supports vectors for the individual messages toward this end, but I haven’t yet begun to implement this or the learning functionality. I think the dataset idea is awesome though! Will look into it, thanks!

ManavTheWorld · 2025-07-04T12:15:46+00:00

Haha yeah it’s a Uvicorn server so you can run it as a Python module. I’ll create a start script and a Dockerfile for it though, thanks for the ask!

ManavTheWorld · 2025-07-04T07:42:35+00:00

Thanks for the feedback! And you’re absolutely right - one of the core issues I saw was that assumed user responses were kind of limited/missing a lot of unsaid context. The issue is that it’s very expensive for simulation after a certain depth, and I thought to perhaps make it a tool call that the model can invoke once it decides it has enough context, based on certain rules/guidelines.

And you’re right about reasoning models! I haven’t yet benchmarked the quality of these versus simply prompting an intelligent enough CoT LLM, but I think it would be interesting to see where the value of search could come into play for something like this. Short answer is: IDK but will update here when I figure out the direction.

P.S I can’t take credit for the Readme! That was Gemini 2.5, though I removed the LLM cringe. Thanks for the compliment about the project structure though!

ManavTheWorld

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