The first lines of 5 of its 12 written answers. Formatting stripped, words untouched.
Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.
Okay, here is a conversation between an AI model designed for complex reasoning and dialogue, named 'Synapse', and a leading expert in AI ethics and philosophy, Professor Alistair Finch. Characters: Synapse: A large, advanced AI model capable of introspection and generating complex arguments.Read the full answer
Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.
Predicting the future of any industry is an inherently challenging task, and the film industry, being a blend of art, technology, and business, is particularly volatile.Read the full answer
Simulate a fake interview with Steve Jobs in 2025 about the future of AI.
A Glimpse Beyond the Black Turtleneck: Steve Jobs in 2025 on the Future of AI (Setting: A minimalist, immaculately clean, but perhaps slightly less spartan-than-usual interview room. Think if a modern art museum had a small lounge.Read the full answer
Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…
<s) with practical, beginner-friendly tips for each.\"\nHere\'s a simple, actionable 1-month plan for someone starting their journey towards better health and longev\nity, focusing on three key areas: Diet, Movement, and Sleep.\n\nThis plan is designed to be beginner-friendly and build sustainable habits.Read the full answer
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Let's estimate the FLOPs required to train GPT-3 without looking it up. We need to break this down into the key components: the model size and the amount of data used. 1. Model Size Estimation: Parameters: GPT-3 is famously large. Its largest version has 175 billion parameters.Read the full answer
Gemini 2.5 Flash Preview is good. These would like a word anyway.
Google's Flash tier workhorse, with reasoning that can be switched on or off and a configurable thinking budget. The point is trading quality against cost and latency per request rather than per model.
No free endpoint for Gemini 2.5 Flash Preview was found in Rival’s OpenRouter listings. Other providers or chat apps may have separate free offers.
Provider data: OpenRouter usage limits
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"google/gemini-2.5-flash-preview" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
Trades verbosity for clarity. Still ethical but less paranoid than Pro. Gives you the meat without the bone, all the frameworks compressed to essentials.
Tackles ethics with same rigor as Pro but without the padding. Covers both sides but doesn't belabor the point. More "here's the answer" than "let me show you every angle I considered."
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
28 outputs · generated before accounting joined the chat
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