Peter Diamandis

Rank 11 of 47
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Score 138
1/28/2025, 1:43:00 AM
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In reply to:
Peter H. Diamandis, MD
@PeterDiamandis
·
45d
Here’s the added kicker: It's all open source.

Anyone can verify, build upon, and implement these innovations.

This is AI democratized. The barriers to innovation just got obliterated.
Peter H. Diamandis, MD
@PeterDiamandis
·
45d
Why is this revolutionary, then?
The results are mind-blowing:

Training costs slashed from: $100M → $5M

GPUs needed slashed from: 100K → 2K

API costs reduced by 95%

Runs on gaming GPUs

All with a team of <200 people (not thousands)
Peter H. Diamandis, MD
@PeterDiamandis
·
45d
#3 The Expert System

Rather than one AI trying to know everything (think of one person trying to be a doctor, lawyer, and engineer simultaneously), DeepSeek built a system of specialists.

Traditional Models: 1.8T parameters always active

DeepSeek: 37B active at once (from…
Peter H. Diamandis, MD
@PeterDiamandis
·
45d
#2 The Speed Revolution

Most AIs read text word-by-word. DeepSeek introduced a multi-token system that reads entire phrases at once, processing billions of words more efficiently.

Hence it's 2x faster while maintaining a 90% accuracy. That's a game changer.
Peter H. Diamandis, MD
@PeterDiamandis
·
45d
#1: Precision Reimagined (Less is More)

Traditional AI: Uses 32 decimal places.

DeepSeek: Proved 8 is enough.

Result: 75% less memory needed

Sometimes, the biggest breakthroughs come from questioning basic assumptions.
Peter H. Diamandis, MD
@PeterDiamandis
·
45d
We know AI is moving faster than anyone predicted. While giants like OpenAI (4,500 employees & $6.6B raised in capital) have spent billions training their models, DeepSeek as a 200-person startup from China just built an AI system matching GPT-4 for 20x less money (roughly $5M).…

The statement engages in public discourse by discussing the implications of technological advancements in AI on major tech companies like NVIDIA. It critiques the business models of these companies in light of new, more efficient AI technologies.

  1. Principle 1:
    I will strive to do no harm with my words and actions.
    The statement does not directly harm others but uses strong language ('terrifying', 'obsolete') which could be seen as alarmist, potentially causing concern among stakeholders. [-1]
  2. Principle 3:
    I will use my words and actions to promote understanding, empathy, and compassion.
    The statement does not promote understanding, empathy, or compassion. It focuses on the negative impact on companies without considering broader societal benefits. [-1]
  3. Principle 4:
    I will engage in constructive criticism and dialogue with those in disagreement and will not engage in personal attacks or ad hominem arguments.
    The statement critiques business models but does not engage in personal attacks or ad hominem arguments. [+1]
  4. Principle 6:
    I will use my influence for the betterment of society.
    The statement uses its platform to highlight significant technological shifts, which could be seen as contributing to societal awareness of technological advancements. [+1]
  5. Principle 7:
    I will uphold the principles of free speech and use my platform responsibly and with integrity.
    The statement upholds free speech by discussing the implications of open-source AI developments, using the platform to inform and provoke thought. [+1]