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Maybe
Once upon a time, there was an old farmer who had worked his crops for many years. One day, his horse ran away. Upon hearing the news, his neighbors came to visit. “Such bad luck,” they said sympathetically.
“Maybe,” the farmer replied.
The next morning, the horse returned, bringing with it three other wild horses. “How wonderful!” the neighbors exclaimed.
“Maybe,” replied the old man.
The following day, his son tried to ride one of the untamed horses, was thrown, and broke his leg. The neighbors again came to offer their sympathy on his misfortune.
“Maybe,” answered the farmer.
The day after that, military officials came to the village to draft young men into the army.
Seeing that the son’s leg was broken, they passed him by. The neighbors congratulated the farmer on how well things had turned out.“Maybe,” said the farmer.
Moral: This story reminds us that opinions and judgments are often hasty and incomplete. What seems good or bad in the moment may shift with time. A Zen attitude invites us to see things without clinging to rigid opinions.
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“Every human being has four fundamental needs: safety, integrity, love, and actualization. When anger arises, it can always be traced to one of these core needs going unmet. You can also think of anger as an indication that a boundary has been crossed. When you understand why you are angry, you can seek to meet your core need in a way that works for you and for those around you. By doing this, you can begin to improve your livelihood to have a more fulfilling life.”
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Norah Jones ✧ Come Away With Me ✧ (Analogue Productions)
Components:
Turntable: VPI Prime Signature 21
Tonearm: VPI Fat Boy FB-10-Gimbal
Cartridge: Airtight PC-7 MC phono cartridge
Phonostage & Preamp: McIntosh C2700
Recorder: Sound Devices MixPre-6 II
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“You can’t copy anybody and end with anything. If you copy, it means you’re working without any real feeling.”
— Milt Jackson
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what happens when you let your art be ‘influenced’ by other artists? – Tara Leaver
“And the big daddy that I learned from all this: I actually CAN’T paint like other artists, and nor do I want to. That’s the best thing this exercise has taught me over the years; it’s fun to experiment, to try out what other artists are doing, but if I only ever did that I’d be unfulfilled and dissatisfied. I’d be surrounded by a vegetarian buffet and craving steak.”
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“Why escape your intended purpose by copying and trying to be someone else? You will discover who you were meant to be only after you have shown confidence being yourself.”
— Suzy Kassem
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Why The Wall Street Journal Piece ‘Legal Marijuana’s Disastrous Legacy’ Missed The Mark
“What also goes unsaid in the WSJ piece are the clear benefits of legalization, including capturing tax revenue from criminal organizations, fixing the sordid history of racialized policing, and creating economic opportunities for communities, often minorities or in low-income zip codes, that were punished for cannabis in the first place.”
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Tron: Ares | Official Trailer
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AI Water Usage Comparison
ChatGPT’s data centers—like those for most large AI systems—consume water primarily for cooling, which is a common practice in many industries that operate heat-generating equipment. Here’s a comparison of ChatGPT (AI/data centers) water use with other industrial sectors:
📊 Water Use Comparison Table
1. AI/Data Centers (e.g. ChatGPT)
• Typical Use: Cooling servers in data centers
• Water Usage: ~500 ml to 4 liters per 10–20 prompts
• Purpose: Cooling via evaporative systems
2. Power Plants
• Typical Use: Steam generation, cooling (especially nuclear & coal)
• Water Usage: 20,000–60,000 liters per MWh
• Purpose: Steam turbines and heat management
3. Agriculture
• Typical Use: Irrigation for crops, livestock
• Water Usage: ~1,500 liters per kg of wheat, 15,000 liters per kg of beef
• Purpose: Growing food
4. Textile Industry
• Typical Use: Dyeing, washing fabrics
• Water Usage: ~200 liters per T-shirt, 2,700 liters per cotton shirt
• Purpose: Dyeing and rinsing
5. Semiconductor Manufacturing
• Typical Use: Washing wafers, ultra-pure water processes
• Water Usage: ~7,500–30,000 liters per wafer (depending on chip size)
• Purpose: Cleaning and chip etching
6. Steel Production
• Typical Use: Cooling, descaling, processing
• Water Usage: ~100–150 liters per kg of steel
• Purpose: Cooling and material processing
🌍 Context for AI & ChatGPT Water Use
- OpenAI reported that ChatGPT usage can indirectly lead to water consumption through data center cooling, especially in places where water-cooled systems are used (like Microsoft’s data centers).
- A 2023 paper estimated OpenAI’s GPT models consumed ~500 ml of water per 5–10 prompts, when averaged globally.
💡 Why Does AI Use Water?
- Most data centers use evaporative cooling systems or chillers to dissipate heat from servers.
- In hot/dry regions, water-cooled systems are more efficient than air cooling, but they consume more water.
🧠 Summary
Efficiency per Impact AI is less water-intensive per unit of energy than agriculture or steel but still contributes noticeably as demand scales. The concern isn’t just total water used, but where it’s used. AI data centers in drought-prone areas may stress local water supplies.
By ChatGPT
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