Things to research when bored:
- String theory
- Dark matter
- Works of Ibn Khaldun
- The germi paradox
- Quantum Entanglement
- Time dilation and relativity
- Transhumanism
- Bizzare Ancient Rituals
- Political Bias in Cartography
- Bioluminescence
- Street art movements
- Believes or Vampirism in Romania
- The Voynich Manuscript
- Green children of woolpit
Physics is to the sciences as philosophy is to the humanities. The research frontier for both is, if not dying, at least significantly slowing; but both are two of the best choices for undergrad majors, both in what it teaches, and in the level of people it pools you with
“There are three qualities to look for in a partner: intelligence, energy, and integrity. You need all three. You can't compromise on any one of them.”
— @naval
@FinallyFoolin Also hence leading to databricks actually having a more fluid product roadmap, they can adjust and apply this, will be watching them closely. As well the big players haven’t really tackled this yet either, how chatgpt does it, is through a ETL funnel which takes alot of effort!!!
@FinallyFoolin Thing is for LLM you need vector dbs, snowflake uses column r database structure to be easier to there analytic flow. Interesting how they work on there product lineup and evolve. I’m long snowflake cause scale and ability but doesn’t mean the thesis can’t change quickly.
@US_Dhuga @akhenosiris https://t.co/oqS2Hz3gS5
It's a end to end platform so you can integrate even easier with other microsoft products seamlessly. Thing is it's not that different just easier to integrate, pending 90% still needs a snowflake or databricks, they'd opt to use this as a part the suite
@ronjonbSaaS@sv_techie@BigBullCap @BigCForever etc.... Dont want to type anymore but upside is $15-25 a share downside is $10-15 reduction of price per share.
@ronjonbSaaS@sv_techie@BigBullCap @BigCForever vector db's. The current infra doesn't have it yet but the acquistion of neeva could build towards it. As well EPS is the only item at risk as well they give too much stock away, give away around 1 billion a year. So upside if it beat expectations stock goes to 62b market cap or