Grok is an AI engine from X, Elon’s company.
If you blue-checked ($84 a yr), it’s free. Soon to be free to everyone.
It is very good at general medical inquiries.
Try it.
Here is the answer: not too far off?
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Grok not Gork, or is Gork something else?
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Gork sounds like something off of Star Trek (remember the Borg?) 
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I copied and pasted echocardiogram results into Grok and it perfectly analyzed everything in two seconds. AI is absolutely insane
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I’m hoping I can retire before AI replaces me.
The term “grok” means to deeply understand or intuitively grasp something in a profound and holistic way. It implies not just intellectual comprehension but also emotional and experiential alignment with the subject.
The word originates from Robert A. Heinlein’s 1961 science fiction novel Stranger in a Strange Land, where it is derived from the fictional Martian language, meaning “to drink” or “to merge with.” In essence, to grok something is to so fully absorb it that it becomes a part of you.
In modern usage, it is often applied in tech or philosophical contexts to describe complete mastery or innate understanding of a concept, system, or idea.
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Grok, the AI from X, uses real-time data at a fraction of the ChatGPT price and will soon be free.
Xai Ships / improves every day at Elon Speed!
I love it. I predict we will use Grok instead of Google in 2025.
Grok will be a verb.
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From ChatGPT (free version), very similar.
1. mTOR Inhibition
- Blocks mTORC1, suppressing cancer cell growth, proliferation, and metabolism.
2. Anti-Angiogenesis
- Reduces VEGF production, hindering the formation of new blood vessels that tumors need for growth and metastasis.
3. Cell Cycle Arrest
- Inhibits proteins required for cell cycle progression, particularly at the G1 phase, slowing cancer cell division.
4. Enhanced Autophagy
- Promotes autophagy, which can help eliminate damaged organelles or proteins, reducing cancer-promoting cellular stress.
5. Reduced Inflammation
- Lowers chronic inflammation, a known risk factor for cancer development and progression.
6. Senescence Modulation
- Delays cellular senescence, potentially reducing the pro-tumorigenic secretory phenotype associated with aged cells.
7. Immune Modulation
- Alters the tumor microenvironment, potentially enhancing anti-tumor immune responses when combined with other therapies.
8. Metabolic Regulation
- Decreases metabolic processes that fuel cancer cells, such as glucose uptake and lipid biosynthesis.
9. Prevention of Oncogene Activation
- Inhibits mTOR-related pathways that may otherwise become hyperactivated due to mutations (e.g., PI3K/AKT pathway).
10. Stem Cell Maintenance
- Suppresses cancer stem cell activity, reducing the likelihood of tumor initiation or recurrence.
These mechanisms highlight rapamycin’s multi-faceted approach to targeting cancer, providing a basis for its use in prevention and treatment strategies.
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Interesting that reportedly increasing VEGF will help lifespan in another thread in this forum
This one?
The influence of rapamycin on VEFG may be dose dependent. The study below is in hamsters, and I have no idea how these doses translate to humans. This could be another good reason to pulse rapamycin.
Rapamycin at 0.1 mg/kg and 0.5 mg/kg significantly reduced VEGF-stimulated mean IOI from 63.0±4.2 to 9.7±5.0 (85% reduction, P<0.001) and 3.6±2.7 (95% reduction, P<0.001), respectively. Rapamycin at 2 mg/kg also lowered VEGF-stimulated hyperpermeability (40% reduction, P<0.05). However, 10 mg/kg rapamycin increased VEGF-induced microvascular hyperpermeability. Rapamycin at 0.5 mg/kg attenuated VEGF-induced vasodilation and PAF-induced hyperpermeability, but did not inhibit PAF-induced vasoconstriction.
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FYI, when you use an AI nowadays, the response you get is mostly just something someone has written, a data labler in its data set, or a mix of different ones. Need a reasoning model and much higher capabilities, but then it’s already AGI on par with humans about next year or so. So imagine you’re seeing some guy paid $20/hr to answer “how does rapamycin reduce cancer?” and the person searches a bit and writes some things in answer to it, or it was at least some other more famous compound which the AI just attaches the same process of some narrow search in its weights.
So the AI has basically compressed a lot of data labler data and if it wasn’t in the data set it just gives the best approximation of an answer.
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Exactly! AI is trained by ppl.
“The term “grok” was coined by science fiction author Robert A. Heinlein in his 1961 novel Stranger in a Strange Land. In the novel, “grok” is a Martian word that literally means “to drink,” but it encompasses a much deeper meaning: to understand something or someone so thoroughly that you become one with it. This profound level of understanding implies a merging of identities and complete empathy.”
So, you can see the relevance of Elon Musk’s use of this because of his interest in colonizing Mars.
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Yes, on AI.
The quality of the data and the quality of supervision = the quality of AI
Peter Attia, in a recent ama, states that AI is very good at creating a synopsis of a scientific paper, but sucks at determining the validity of the results.
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