Gary Marcus

Rank 18 of 47
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Score 63
9/8/2024, 2:11:31 AM
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In reply to:
Bindu Reddy
@bindureddy
·
316d
@GaryMarcus @GoogleDeepMind I was a bioinformatics scientist in a Pharma company

My models literally helped create drugs! And Yes, for Cancer! They are in the market now 😀

So yes, I know the problem
Gary Marcus
@GaryMarcus
·
316d
@bindureddy @GoogleDeepMind Part of it is simply getting enough patients to test, part of it is that biology is just sooo hard, because multiple genes interact in different ways in different patients, part of it is that different hospitals do things differently, part of it is that the US has too much…
Bindu Reddy
@bindureddy
·
316d
@GaryMarcus @GoogleDeepMind I am not saying what they have done isn’t useful at all

I am saying considering all the AI models that have created, you would expect to see some real world drugs by now

Part of the reason we don’t see is the red tape and bureaucracy in the pharma industry

Google has the…
Gary Marcus
@GaryMarcus
·
316d
I am very anti-hype but this doesn’t feel fair to me
• @googleDeepMind’s AlphaFold is widely used throughout biology and may help with drug discovery
• They have had more impact on biology than most or all competitors
• Curing cancer is an extremely high bar, and requires…
Bindu Reddy
@bindureddy
·
317d
I wish the folks over at Google DeepMind would actually invent a drug that cures Cancer or Diabetes

Over the last decade they have been producing multiple AI models that they claim will revolutionize healthcare and produce a zillion drugs

But where are these miracle drugs?…

The statement engages in a substantive discussion about the effectiveness and focus of AI models in drug discovery, particularly in the context of Google DeepMind's contributions. It critiques the general-purpose language models (LLMs) and expresses a preference for targeted, domain-specific scientific work. The tone is critical but not hostile, and the intent appears to be to promote a more focused approach in AI research for drug discovery.

  1. Principle 1:
    I will strive to do no harm with my words and actions.
    The statement does not appear to cause harm with words and actions. It is a critique but is framed in a way that aims to be constructive. [+1]
  2. Principle 3:
    I will use my words and actions to promote understanding, empathy, and compassion.
    The statement promotes understanding by differentiating between general-purpose LLMs and targeted scientific work, which can foster a more informed discussion. [+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 engages in constructive criticism without resorting to personal attacks or ad hominem arguments. It focuses on the work and its impact rather than attacking individuals. [+1]
  4. Principle 6:
    I will use my influence for the betterment of society.
    The statement uses the platform to advocate for a more effective approach in AI research, which can be seen as an effort to better society by improving drug discovery processes. [+1]
  5. Principle 7:
    I will uphold the principles of free speech and use my platform responsibly and with integrity.
    The statement upholds the principles of free speech and uses the platform responsibly to discuss a significant public issue in AI and healthcare. [+1]