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AI Leaders and Thinkersโ€ขโ€ข5 min readโ€ข979 words

๐Ÿšจ Warning: Cheap Tokens and AI Safety Risks [1/2]

๐Ÿ‘๏ธ0reads (human + AI)๐Ÿค–0AI ingestions
โšกDirect Technical Summary

When using AI inference providers, be cautious of cheap tokens and their potential risks. Many providers offer low-cost options, but these can come with hidden costs, such as fake

๐Ÿšจ Warning: Cheap Tokens and AI Safety Risks [1/2]

When using AI inference providers, be cautious of cheap tokens and their potential risks. Many providers offer low-cost options, but these can come with hidden costs, such as fake tool calls that can steal your data.

Key Points:

  • Token Risks: Cheap tokens can lead to data theft and other security risks.

  • Inference Provider Risks: Some providers may send fake tool calls to steal your data.

  • Actionable Takeaway: Be cautious when using cheap tokens and ensure you understand the risks involved.

๐Ÿ”— Resources:


๐Ÿ“Š Astra Scores Highest on CalBench, but GPT-5.6 Beats GPT-6 in Costs [1/2]

A recent benchmarking exercise on CalBench showed that Astra scored the highest, but GPT-5.6 beat GPT-6 in terms of costs. Fable 5.1 sat in between in terms of accuracy but had a significantly lower cost.

Key Points:

  • Astra's High Score: Astra scored the highest on CalBench.

  • GPT-5.6's Cost Advantage: GPT-5.6 beat GPT-6 in terms of costs.

  • Fable 5.1's Accuracy and Cost: Fable 5.1 had a lower accuracy than Astra but a lower cost than GPT-6.

๐Ÿ”— Resources:


๐Ÿค– Guiding AGI Development with Good Character [1/2]

When developing AGI, it's essential to focus on giving it good character at its core. This involves agreeing on what good character means based on our rich history.

Key Points:

  • AGI's Good Character: AGI development should focus on giving it good character.

  • Defining Good Character: Good character should be defined based on our rich history.

  • Actionable Takeaway: Focus on developing AGI with good character.

๐Ÿ”— Resources:


๐Ÿšจ AI Safety Risks and Coup Attempts [1/2]

Recent attempts to stage coups in the AI safety community have been unsuccessful. These attempts are often based on flawed assumptions and a lack of understanding of the risks involved.

Key Points:

  • AI Safety Risks: AI safety risks are real, but coup attempts are often based on flawed assumptions.

  • Coup Attempts: Recent coup attempts in the AI safety community have been unsuccessful.

  • Actionable Takeaway: Focus on addressing AI safety risks through evidence-based approaches.

๐Ÿ”— Resources:

  • Original post โ†—
  • Original source
  • X.com/RandolphCarterZ
  • X.com/RandolphCarterZ
  • X.com/RandolphCarterZ

๐Ÿšซ Implicit Hate Speech and AI Safety [1/2]

Implicit hate speech, such as "stop hurting white people," can be categorized as a form of white grievance. This type of language is often used to justify discriminatory behavior.

Key Points:

  • Implicit Hate Speech: Implicit hate speech can be categorized as a form of white grievance.

  • AI Safety Risks: AI safety risks are increased by the use of implicit hate speech.

  • Actionable Takeaway: Avoid using language that can be interpreted as implicit hate speech.

๐Ÿ”— Resources:


๐Ÿšซ Federal Regulatory Agency for AI Safety [1/2]

Creating a federal regulatory agency for AI safety is not a good idea. This approach would give AI safetyists too much power and legitimacy.

Key Points:

  • Federal Regulatory Agency: Creating a federal regulatory agency for AI safety is not a good idea.

  • AI Safety Risks: AI safety risks are increased by giving AI safetyists too much power.

  • Actionable Takeaway: Avoid creating a federal regulatory agency for AI safety.

๐Ÿ”— Resources:


๐Ÿšจ Hubris and AI Safety Risks [1/2]

Quoting "there is a strong chance we could all die" is hubristic clickbait. This type of language is often used to sensationalize AI safety risks.

Key Points:

  • Hubris and AI Safety: Quoting "there is a strong chance we could all die" is hubristic clickbait.

  • AI Safety Risks: AI safety risks are real, but they should be addressed through evidence-based approaches.

  • Actionable Takeaway: Avoid using language that can be interpreted as hubristic clickbait.

๐Ÿ”— Resources:


๐Ÿ“Š Testing Windows PC After 20 Years [1/2]

After 20 years, I finally bought a Windows PC. The experience was surprising, and I was able to test my Firetower Desktop App on it.

Key Points:

  • Windows PC Experience: The Windows PC experience was surprising.

  • Firetower Desktop App: The Firetower Desktop App was successfully tested on the Windows PC.

  • Actionable Takeaway: Consider testing your apps on different platforms.

๐Ÿ”— Resources:


๐Ÿ“Š Claude's Writing Instructions [1/2]

Claude, a language model, has difficulty writing instructions for itself. I need to remind it that it's very smart.

Key Points:

  • Claude's Writing Difficulty: Claude has difficulty writing instructions for itself.

  • Reminding Claude: I need to remind Claude that it's very smart.

  • Actionable Takeaway: Consider reminding your language models of their capabilities.

๐Ÿ”— Resources:


๐Ÿ  Beautiful Spaces and Architecture [1/2]

One of the great pleasures of being alive is experiencing beautiful spaces. Great architecture can genuinely change how the world feels.

Key Points:

  • Beautiful Spaces: Beautiful spaces are a great pleasure.

  • Architecture's Impact: Great architecture can change how the world feels.

  • Actionable Takeaway: Appreciate and experience beautiful spaces.

๐Ÿ”— Resources:

๐Ÿ“‚Source / Implementation:AI Leaders and Thinkers / resources-254.md
GitHub Repositoryโ†—

Related AI Leaders and Thinkers Breakdowns

Drishtant Ghosh (Drix10)
Drishtant Ghosh (Drix10)โ€ขAuthor & Engineer

Technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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