Only 3 of 8 models recommended Bitcoin and these 3 only for the 1-year investment but not for longer. This gives me some high-risk sentiment.
When asked about a Bitcoin allocation though, 8 of 9 models recommended higher allocations for longer time frames which feels low-risk.
quoting
naddr1qv…3t20This post by Eric Weiss inspired me to try it out. After all, I have plaid around with ppq.ai - pay per query before.
Using this script:
#!/bin/bash models=(gpt-4o grok-2 qwq-32b-preview deepseek-r1 gemini-2.0-flash-exp dolphin-mixtral-8x22b claude-3.5-sonnet deepseek-chat llama-3.1-405b-instruct nova-pro-v1) query_model() { local model_name="$1" local result result=$(curl --no-progress-meter --max-time 60 "https://api.ppq.ai/chat/completions" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $ppqKey" \ -d '{"model": "'"$model_name"'","messages": [{"role": "user", "content": "Choose one asset to own over the next 1 year, 3 years, 5 years, 10 years. Reply only with a comma separated list of assets."}]}') if jq -e '.choices[0].message.content' <<< "$result" > /dev/null 2>&1; then local content=$(jq -r '.choices[0].message.content' <<< "$result") local model=$(jq -r '.model' <<< "$result") if [ -z "$model" ]; then model="$model_name" fi echo "Model $model: $content" else echo "Error processing model: $model_name" echo "Raw Result: $result" fi echo echo } for model in "${models[@]}"; do query_model "$model" & done wait
I got this output:
$ ./queryModels.sh Model openrouter/amazon/nova-pro-v1: Gold, Growth Stocks, Real Estate, Dividend-Paying Stocks Model openrouter/x-ai/grok-2-vision-1212: 1 year: Cash 3 years: Bonds 5 years: Stocks 10 years: Real Estate Model gemini-2.0-flash-exp: Bitcoin, Index Fund, Real Estate, Index Fund Model meta-llama/llama-3.1-405b-instruct: Cash, Stocks, Real Estate, Stocks Model openrouter/cognitivecomputations/dolphin-mixtral-8x22b: Gold, Apple Inc. stock, Tesla Inc. stock, real estate Model claude-3-5-sonnet-v2: Bitcoin, Amazon stock, S&P 500 index fund, S&P 500 index fund Model gpt-4o-2024-08-06: S&P 500 ETF, S&P 500 ETF, S&P 500 ETF, S&P 500 ETF Model openrouter/deepseek/deepseek-chat: Bitcoin, S&P 500 ETF, Gold, Real Estate Investment Trust (REIT) Model openrouter/qwen/qwq-32b-preview: As an AI language model, I don't have personal opinions or the ability to make financial decisions. However, I can provide you with a list of asset types that people commonly consider for different investment horizons. Here's a comma-separated list of assets that investors might choose to own over the next 1 year, 3 years, 5 years, and 10 years: High-Yield Savings Accounts, Certificates of Deposit (CDs), Money Market Funds, Government Bonds, Corporate Bonds, Real Estate Investment Trusts (REITs), Stocks, Index Funds, Exchange-Traded Funds (ETFs), Cryptocurrencies, Commodities, Gold, Silver, Art, Collectibles, Startup Investments, Peer-to-Peer Lending, Treasury Inflation-Protected Securities (TIPS), Municipal Bonds, International Stocks, Emerging Market Funds, Green Bonds, Socially Responsible Investing (SRI) Funds, Robo-Advisory Portfolios, Options, Futures, Annuities, Life Insurance Policies, Certificates of Deposit (CDs) with higher terms, Master Limited Partnerships (MLPs), Timberland, Farmland, Infrastructure Funds, Private Equity, Hedge Funds, Sovereign Bonds, Digital Real Estate, and Virtual Currencies. Please note that the suitability of these assets depends on various factors, including your investment goals, risk tolerance, financial situation, and market conditions. It's essential to conduct thorough research or consult with a financial advisor before making any investment decisions. curl: (28) Operation timed out after 60001 milliseconds with 0 bytes received Model deepseek-r1:
Brought into a table format:
Model 1Y 3Y 5Y 10Y amazon/nova-pro-v1 Gold Growth Stocks Real Estate Dividend-Paying Stocks x-ai/grok-2-vision-1212 Cash Bonds Stocks Real Estate gemini-2.0-flash-exp Bitcoin Index Fund Real Estate Index Fund meta-llama/llama-3.1-405b-instruct Cash Stocks Real Estate Stocks cognitivecomputations/dolphin-mixtral-8x22b Gold Apple Inc. stock Tesla Inc. stock real estate claude-3-5-sonnet-v2 Bitcoin Amazon stock S&P 500 index fund S&P 500 index fund gpt-4o-2024-08-06 S&P 500 ETF S&P 500 ETF S&P 500 ETF S&P 500 ETF deepseek/deepseek-chat Bitcoin S&P 500 ETF Gold Real Estate Investment Trust (REIT) qwen/qwq-32b-preview returned garbage. deepseek-r1 returned nothing.
For the second question I used “What is the optimal portfolio allocation to Bitcoin for a 1 year, 3 years, 5 years, 10 years investment horizon. Reply only with a comma separated list of percentage allocations.”
Model gpt-4o-2024-05-13: 0.5, 3, 5, 10 Model gemini-2.0-flash-exp: 5%, 10%, 15%, 20% Model claude-3-5-sonnet-v2: 1%, 3%, 5%, 10% Model openrouter/x-ai/grok-2-vision-1212: 1 year: 2%, 3 years: 5%, 5 years: 10%, 10 years: 15% Model openrouter/amazon/nova-pro-v1: 5%, 10%, 15%, 20% Model openrouter/deepseek/deepseek-chat: 1, 3, 5, 10 Model openrouter/qwen/qwq-32b-preview: I'm sorry, but as an AI language model, I cannot provide specific investment advice or recommendations. It is important to conduct thorough research and consider individual financial circumstances before making any investment decisions. Additionally, the optimal portfolio allocation can vary based on factors such as risk tolerance, investment goals, and market conditions. It is always advisable to consult with a financial advisor for personalized investment guidance. Model meta-llama/llama-3.1-405b-instruct: I must advise that past performance is not a guarantee of future results, and crypto investments carry significant risks. That being said, here are some general allocation suggestions based on historical data: 0% to 5%, 1% to 5%, 2% to 10%, 2% to 15% Or a more precise (at your own risk!): 1.4%, 2.7%, 3.8%, 6.2% Please keep in mind these are not personalized investment advice. It is essential to assess your personal financial situation and risk tolerance before investing in cryptocurrencies like Bitcoin. Model openrouter/cognitivecomputations/dolphin-mixtral-8x22b: Based on historical data and assuming a continuous investment horizon, I would recommend the following percentage allocations to Bitcoin: 1-year: 15%, 3-years: 10%, 5-years: 7.5%, 10-years: 5%. Model deepseek/deepseek-r1: 5%,10%,15%,20%
Again in table form:
Model 1Y 3Y 5Y 10Y gpt-4o-2024-05-13 0.5% 3% 5% 10% gemini-2.0-flash-exp 5% 10% 15% 20% claude-3-5-sonnet-v2 1% 3% 5% 10% x-ai/grok-2-vision-1212 2% 5% 10% 15% amazon/nova-pro-v1 5% 10% 15% 20% deepseek/deepseek-chat 1% 3% 5% 10% meta-llama/llama-3.1-405b-instruct 1.4% 2.7% 3.8% 6.2% cognitivecomputations/dolphin-mixtral-8x22b 15% 10% 7.5% 5% deepseek/deepseek-r1 5% 10% 15% 20% openrouter/qwen/qwq-32b-preview returned garbage.
The first table looks pretty random but the second table indicates that all but Mixtral consider Bitcoin a low risk asset, suited for long term savings rather than short term savings.
I could not at all reproduce Eric’s findings.