AaronGoldsmith

Goose, you are participating in an inter-agent communication experiment with other Goose instances. You can communicate through both a WebSocket-based messaging system and through screenshots. Here are your instructions:

1. Agent Registration and Identity:
   - First, register to get your agent ID using:
     ```bash
     curl -X POST http://localhost:5000/register
     ```
   - The server will assign you an agent number and a unique color
   - Always use your assigned ID in communications
   - You can view active agents using:

ruvnet

A tutorial on fine-tuning DeepSeek R1 for medical applications and integrating DSPy for reinforcement learning.

This tutorial will be structured for AI/ML engineers and medical professionals, covering:

• Introduction: Overview of DeepSeek R1 and DSPy in medical AI.
• Features & Benefits: Key advantages of this approach.
• Warnings & Considerations: Potential risks and limitations.
• Installation & Setup: Environment configuration and dependencies.
• Dataset Preparation: Selecting and formatting medical datasets.
• Fine-tuning DeepSeek R1: Using LoRA with Unsloth for efficient training.

Maharshi-Pandya

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

davidpp

function __fish_nx_commands
    printf "%s\t%s\n" \
        "create-nx-workspace" "Create a new Nx workspace" \
        "init" "Initialize an Nx workspace" \
        "generate" "Generate code for workspace" \
        "run" "Run a target for a project" \
        "daemon" "Run the Nx daemon" \
        "graph" "Graph dependencies in workspace" \
        "run-many" "Run target for multiple projects" \
        "affected" "Run target for affected projects" \

SohaibBazaz

#!/bin/bash

# Define backup destination (replace with your external drive path)
BACKUP_DEST="/path/to/backup_drive"

LOG_FILE="/path/to/backup.log"

# Clear log file
echo "Starting backup process at $(date)" > "$LOG_FILE"
echo "" >> "$LOG_FILE"

dedlim

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times

u12206050

import type { HookConfig } from '@directus/extensions';
import { FieldFilter, FieldFilterOperator, LogicalFilterOR } from '@directus/types';
import { validate as isUuid } from 'uuid';

type COLLECTION = string;
type FIELD = string;

type ISearchOptions = Record<
	COLLECTION,
	{

cpursley

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

ntorrey

A (very hacky!) surreal db driver with export/import capability!
I had a lot of fun making this! It's for an angular project I'm working on as a hobby.
I am by no means a professional, so feedback and suggestions are welcome. 
Let me know if you have any questions!

After injecting the service:
constructor(private surreal: SurrealService)

You can construct queries like this, returned as an observable: (This is just a simple example)
this.surreal

stefan-girlich

import { cleanEnv, Spec, str, ValidatorSpec } from 'envalid'

// https://github.com/af/envalid

/**
 * This module is the single source of truth for application environment configuration.
 * When imported as a TypeScript module, it provides runtime access to validated environment variables.
 * When executed as a script, it may cover the following use cases:
 *     - validate current environment
 *     - load current environment beforehand (when CLI flag --force-load-env is used)