Journal to portfolio afterlife

Giornata piatta, portafoglio +0,07%.

1694439257527.png
 
Vogliono portare il sistema sanitario sempre più verso una copertura assicurativa privata a scapito del servizio sanitario nazionale. Questo tipo di articoli che spargono un poco di fumo negli occhi ne è un esempio.


Le verità di fondo sono due e molto semplici:
- la mutualizzazione dei costi sanitari è stata l'invenzione del secolo ed anche un bambino capisce il perchè
- le risorse vanno spese bene e non vanno sprecate, perciò la gestione, il controllo e la pianificazione sono essenziali

Che il singolo cittadino contribuisca alla spesa sanitaria attraverso la tassazione (+ticket), premi assicurativi versati al sistema privato, o pagamenti per ciascuna prestazione diretta, in ogni caso deve spendere, questo è pacifico. L'aspetto dirimente perciò riguarda il confronto tra il sistema pubblico e il sistema privato (velocità, efficacia, costi). Se il sistema sanitario pubblico non funziona, chi ne trae beneficio?
 
“We have never consumed more oil in history than we have today,” Eric Nuttall, partner and senior portfolio manager at Ninepoint Partners told Bloomberg in an interview, adding that the trend is obvious despite the argument that recession has hit demand for oil.
“We've been fighting this narrative about weak demand due to a recession, which we've been hearing about for a year,” Nuttall said, adding that OPEC+’s production restrictions have contributed to a growing imbalance between supply and demand.
Global oil inventories are at the lowest since 2017 while demand for oil is at a record high. Even so, for most of this year, oil prices have been depressed “because of recessionary fears”, the hedge fund manager said.

 
Coming off the worst year in recent history for venture capitalists, private market players like Andreessen Horowitz, Coatue Management, Tiger Global, Sequoia Capital, and Softbank quickly redirected their dollars to AI upstarts. Meanwhile, the stock prices of the big tech names suspected to be the major beneficiaries of this often-called “revolutionary” form of artificial intelligence have skyrocketed.
All told, generative AI and machine learning start-ups raised about $39.4 billion this year, with $19.4 billion of that in the second quarter, according to PitchBook’s second-quarter Artificial Intelligence & Machine Learning Report.
Though money has been pouring into everything said to be “AI,” a few critics are starting to wonder whether the latest technology is really transformational or merely evolutionary.
Generative AI has already proved to be subject to some peculiar flaws. One is “hallucinations” — the ability of a model to invent facts.
Ben Dickson, a software engineer and the founder of the blog TechTalks, says that hallucinations are a “serious problem. LLMs are wont to generate plausible text that is not factually correct, such as made-up names of papers and journals.”
Moreover, there is new research, as well as anecdotal evidence, indicating that ChatGPT’s output has gotten worse, or “drifted,” over time.
For example, research by Stanford University and UC Berkeley professors looked at ChatGPT’s ability to identify prime numbers. Even with something as straightforward as math, the researchers found that in March, ChatGPT had 84 percent accuracy in identifying prime versus composite numbers, but by June had only 51 percent accuracy performing the same exercise.
“ChatGPT trends are ugly: Traffic is down, and interest — measured by Google — is in free fall,” says Koppikar. “This is not the type of trend you see in an exponential growth story at this early stage.” He points out that Facebook, in contrast, showed consistent explosive growth for years.
How much ChatGPT’s degree of innovation matters is up for debate. If analysts can use ChatGPT to read 200-page documents in a matter of minutes and prepare a report, that can save companies time and money. “But when you see people talking about using these models to make investment decisions, there’s little evidence that I’ve seen that these models can do that,” says Angelo Calvello, founder of Rosetta Analytics, a small quant investment firm.
Despite the recent setbacks for some of these stocks, AI is still driving the markets higher. Notably, last week Nvidia reported record quarterly sales of $16 billion, far ahead of market expectations. How long the momentum can last is another question.
Cautions Adrangi: “With all these overvalued, overhyped stocks, it’s hard to call when the bubble will burst. But one day it does.”

 

Users who are viewing this thread

Back
Alto