thawab

Tried multiple times to use the api file search and it’s complex to setup. Ended up going a different approach.

You might be miss remembering, the last round they raised 30b.

I am on the same boat, started to build my extensions and preferences in PI. The community is awesome and helpful. My assumption is the personalization has higher priority than the intelligence gap between opus and gpt or others. At least i wont stop working if claude is down.

You can copy past the mermaid to excalidraw to visualize it.

Don’t want to disappoint you, but above 200k opus memory is like a gold fish. You need to be below 150k to get good research and implementation.

Nextjs had remote code execution vulnerabilities because of how they implemented react server side. I am not touching an AI version without waiting for a while.

Thanks a lot, i wanted to ask about the headless agent use case: How does it compare to using https://github.com/vercel-labs/agent-browser

After getting burned by Watson. I am not touching any AI from IBM.

How can o4-mini be at 57, and sonnet-4 is at 39? This is way off, o4-mini is not even in the top 5 of coding agents.

Does facebook use llamas in their model? it's a name, it doesn't have to be 100% true to its meaning.

There are several videos in the link that does this.

Start course. It’s an mcp, talk to it like an instructor.

are the Llama 4 issues fixed? what is it good at? coding is out of the window after the updated R1.

Yes, a lot MCP servers are just api wrappers. Airweave looks like it copies the data and has a RAG that is processing your queries.

thanks a lot, the other part of the question:

1- what data is shared with hydra for this case?

2- whats the pricing for the bare metal deployment?

Hello Joe, thanks a lot for hydra and pg_duckdb. I wanted to confirm that for self hosting hydra i have to generate a token from your platform? what data is shared with hydra for this case. We need to double check as our data has restriction of sharing.

Visit http://platform.hydra.so/token to fetch the access token and paste it into the section above.

for my daily work i use aider, but i jump into roo and client when there is an update, or someone has an interesting workflow. it's like taking a test drive.

I hope this will help:

https://www.reddit.com/r/RooCode/comments/1jn372q/roocode_vs...

Your issue is because:

1- the cursor agent doesn’t work with gemini. Some times the diff edit even doesn’t work.

2- Cursor does semantic search to lower the token they sent to models.

The big advantage for Gemini is the context window, use it with aider, clien or roo code.

Who has above 700M MAU and doesn't have their own LLM?

Rough? They just closed a $600 million round with a 10 billion valuation. They should expect bigger challenges after getting in the unicorn club.

16 GB RAM included in base model. For $200 more i can bump it to 24 GB RAM, So that i can open Chrome and firefox at the same time.

This was released on 23 May 2024, and the source code is on github[0]. It didn't pickup traction like other RAG approaches. I haven't tested it so i don't have an opinion on it.

[0] https://github.com/OSU-NLP-Group/HippoRAG

Hello Frank, thanks a lot for the awesome work. I like continue a lot and they have an amazing team. I keep checking their repo, once in a while to see when they will release their ai agent.

The work by voyage team are admirable. If you want to test it, the only editor is continue, add it as an embeddings provider:

"embeddingsProviders": {

  "provider": "openai",

    "model": "voyage-code-3",

    "apiBase": "https://api.voyageai.com/v1/",

    "apiKey": ""
  },

Thanks a lot, this is the first time i saw a RAG using DSPy. I wanted to know about the expected cost. A few days ago fast graphrag compared their implementation with Microsoft:

Using The Wizard of Oz, fast-graphrag costs $0.08 vs. graphrag $0.48 — a 6x costs saving that further improves with data size and number of insertions.

Based on DJT first term, my guesses are:

- Environmental Protection Agency (EPA)

- State Department

- Science and Public Health Offices

- Civil Rights Offices

DOGE doesn't have to do something new or significant, all they have to do is to promote it better even if it's the same actions by any republican reaching office.

Pentagon has 23k employees, DOGE need more than 4 years for something like this. My assumptions is that they will focus elsewhere for quick wins.

Why are you painting Clickhouse as an underdog, with no VC funding? They raised a $250M Series B.

he is using the 3b one, since it's the default when downloading it from ollama: https://ollama.com/library/llama3.2