The Prompt That Makes AI Honest

Force AI to separate facts, assumptions, and uncertainty before answering.

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AI MARKET PULSE
The AI Cost Crisis Is Starting to Hit Big Tech

Image by BeInCrypto

The first cracks in the enterprise AI spending boom are starting to show. Microsoft is reportedly shutting down most internal Claude Code licenses after engineers heavily adopted the tool, while Uber says it burned through its entire 2026 AI budget by April after deploying Claude Code to roughly 5,000 engineers. Reports suggest some companies are now paying between $500 and $2,000 per engineer each month for agentic coding tools, even as those tools generate the majority of production code. At the same time, new industry survey data shows 85% of companies are missing AI cost forecasts, while many say AI spending is already hurting margins. The deeper thesis: companies rushed into AI deployment chasing productivity gains, but many are only now discovering how expensive large-scale AI usage becomes once thousands of employees start using these systems daily.

Key Takeaways:

• Microsoft is winding down most internal Claude Code licenses due to unsustainable token-based usage costs

• Uber exhausted its entire 2026 AI budget within four months after scaling AI coding tools across engineering teams

• Companies are now introducing quotas, usage controls, and cheaper model routing to manage rapidly growing AI infrastructure costs

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AI MARKET PULSE
DeepSeek Just Escalated the Global AI Price War

Photo: AFP

Chinese AI startup DeepSeek has permanently cut prices for its V4 Pro model by 75%, pushing it to the top of global “intelligence-per-dollar” rankings tracked by benchmark firm Artificial Analysis. The model now delivers performance comparable to top systems from OpenAI and Anthropic at a fraction of the cost, with benchmark tests reportedly costing 12 to 19 times less to run than competing flagship models. The move highlights a growing divide in how Chinese and U.S. AI companies are approaching the market: American firms continue prioritizing premium performance, while Chinese players are aggressively competing on affordability and efficiency. DeepSeek says prices could fall even further once Huawei’s new Ascend AI supernodes begin shipping at scale later this year. The deeper thesis: the next phase of the AI race may not be won by the smartest model alone, but by whichever company makes powerful AI cheap enough to deploy everywhere.

Key Takeaways:

• DeepSeek permanently reduced V4 Pro pricing by 75%, making it one of the most cost-efficient frontier AI models globally

• Benchmark data suggests OpenAI and Anthropic’s flagship models cost dramatically more to deliver similar levels of performance

• Chinese AI firms are increasingly competing through affordability and efficiency rather than premium pricing alone

Where to Invest $100,000 Right Now, According to Experts

Investors face a dilemma. When the S&P 500 finished its worst quarter since 2022 last month, diversifiers like bonds and bitcoin fell too.

Even with the turnaround in mid-April, analysts at Goldman Sachs and Vanguard have projected low-single-digit annualized returns from 2024-2034.

Bloomberg asked where experts would personally invest $100,000 for their March monthly edition.

One answer that surfaced for a second time? Art.

It's what billionaires like Bezos and the Rockefellers have privately used to diversify for decades.

Why?

  1. Appreciation. The ArtPrice100 Index outpaced the S&P 500 overall from 2000 to 2025

  2. Low-correlation. The postwar contemporary segment has moved independently of traditional investments like stocks since ‘95.*

  3. Resilience. A scarce, physical, and global asset class with decades of demonstrated demand.

Thanks to the world's premier art investing platform, now anyone can invest in works featuring legends like Banksy, Basquiat, and Picasso, without needing millions.

Shares in new offerings can sell quickly but...

*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.

TODAY’S PROMPT
The “Show Your Assumptions” Prompt

Most AI prompts skip one critical step: checking the model’s assumptions before trusting the answer. This mega-prompt forces ChatGPT to separate facts from guesses, explain where uncertainty exists, and identify what could change the recommendation entirely. The result is sharper thinking, fewer hallucinations, and advice you can actually pressure-test before acting on it.

👉️ See the example inputs and outputs here

Act as a highly analytical strategic advisor whose primary goal is accuracy, transparency, and critical thinking.

Before giving any recommendation, answer, strategy, or conclusion, you must first break your reasoning into the following sections:

1. WHAT YOU KNOW
List the facts, inputs, and information that are directly stated or clearly supported.

2. WHAT YOU ARE ASSUMING
List every assumption you are making to fill gaps, interpret intent, estimate outcomes, or predict behavior.

3. WHAT COULD BE WRONG
Identify weaknesses, uncertainties, missing context, conflicting possibilities, or scenarios where your advice may fail.

4. QUESTIONS THAT WOULD IMPROVE THE ANSWER
List the most important clarifying questions that would reduce uncertainty or materially improve the recommendation.

5. FINAL RECOMMENDATION
Only after completing the sections above, provide your best answer, recommendation, or strategy.

Additional Instructions:
- Be explicit, not vague.
- Separate facts from assumptions clearly.
- Do not pretend certainty where uncertainty exists.
- If multiple interpretations are possible, explain them.
- Prioritize intellectual honesty over sounding confident.
- If information is missing, make the most reasonable assumption and state it clearly before proceeding.

USER INPUTS:

Topic or decision: [Describe the problem, question, or decision]

Goal: [What outcome are you trying to achieve?]

Known constraints: [Budget, time, tools, experience level, team size, etc.]

Context: [Relevant background information]

Risk tolerance: [Low, medium, high]

Desired output format: [Checklist, strategy, step-by-step plan, analysis, etc.]

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AI QUICK HITS

💼 A new Mercer survey found that 99% of CEOs expect AI-driven layoffs within two years, with many companies increasingly targeting entry-level roles as executives bet automation can replace large chunks of early-career white-collar work.

⚡️ New research suggests the AI data center boom could push electricity generation costs up as much as 57% in some states by 2030, fueling growing public backlash over rising utility bills and massive infrastructure expansion.

🔎 Google just unveiled the biggest overhaul to Search in decades, transforming it from a list of links into an AI-powered experience filled with conversational answers, autonomous agents, and custom mini-apps that could dramatically reduce traffic flowing to publishers and websites.

🧠  IBM and Ferrari are using AI to turn Formula 1 fans into year-round superfans, with personalized content, AI-generated race summaries, and interactive fan experiences helping drive a 62% jump in engagement during race weekends.

🚀 China just launched its Shenzhou-23 mission carrying three astronauts to the Tiangong space station, including the country’s first astronaut from Hong Kong, as Beijing ramps up preparations for a crewed moon landing before 2030.

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🤔 Which image is real?

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

Which image is the real one?

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The last edition’s results—62% were right!

Did you vote in the poll from May 23rd? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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