Probably because CA politicians want to spend tax money on things like providing $150k of housing loans to undocumented migrants
Losing out on a house bid as an American citizen to an undocumented migrant thanks to this policy, truly the type of stuff only a CA politician could come up with.
"healthcare, education, housing, and food were secured for all."
Ah yes all of this provided to you by Big Government, who can at a whim withdraw these services if you are found to engage in WrongThink.
We already have seen Western governments like Canada financially banning grandmothers who donated to a trucker protest or the UK imprisoning people for tweets.
Do you really want a bunch of DC politicians to have the power of life and death, not to mention access to swaths of capital that they will inevitably use to engorge and enrich themselves?
Your 600k in taxes will go into the pockets of various interest groups that markup their goods and services because they know Uncle Sam will foot the bill.
LLMs can be used to generate high-quality, human-like content such as articles, blog posts, social media posts, and even short stories. Businesses can leverage this capability to save time and resources on content creation, and improve the consistency and quality of their online presence.
2. Customer Service and Support:
LLMs can be integrated into chatbots and virtual assistants to provide fast, accurate, and personalized responses to customer inquiries. This can help businesses improve their customer experience, reduce the workload on human customer service representatives, and provide 24/7 support.
3. Summarization and Insights:
LLMs can be used to analyze large volumes of text data, such as reports, research papers, or customer feedback, and generate concise summaries and insights. This can be valuable for businesses in fields like market research, financial analysis, or strategic planning.
4. HR Candidate Screening:
Use case: Using LLMs to assess job applicant resumes, cover letters, and interview responses to identify the most qualified candidates.
Example: A large retailer integrating an LLM-based recruiting assistant to help sift through hundreds of applications for entry-level roles.
5. Legal Document Review:
Use case: Employing LLMs to rapidly scan through large volumes of legal contracts, case files, and regulatory documents to identify key terms, risks, and relevant information.
Example: A corporate law firm deploying an LLM tool to streamline the due diligence process for mergers and acquisitions.
I haven't updated this in years but this was my attempt at building a real time personal dashboard, connecting various API's and components.
Was pretty helpful for me, basically acted as a heads up display that I could look at to track my stats over the day (steps, meditation, focus time, etc.)
The definition of a recession is two consecutive quarters of negative growth, which we've had.
We're waking up from a a long night of heavy drinking (free money via zero interest rate, unrestrained QE, etc.), the bill is due and you're plugging your ears and yelling that the party must go on.
I personally don't see AI getting anywhere any time soon
Totally, like there's no way an AI company could hit $80M revenue in <2 years [0], or power the recommendations systems for billions of dollars worth of online commerce.
Also there's no way that it could generate audio/image/video/text that would trick the average person that this was generated by an AI.
I believe in property rights, but patenting ideas leads to such perverse incentives that the benefits rarely outweigh the cost. Often times the person isn't even the first to come up with the idea! They're just the first to patent it.
Look at the field of psychedelics for example, where there's a mad scramble to patent things as absurd as the process of administering the psychedelic.
Policy wonks and lawyers have run America into the ground with reckless spending and forever wars.
I would venture that introducing fresh ideas and technologists with first principles thinking will yield better results.