If you read the article you would have seen that researches believe adjusting personality traits like neuroticism helps treat important mental health conditions more effectively than attacking the mental health condition directly.
Baker has one of the best movie adaptations, has been documented and reissued at nauseum and has worldwide acclaim and recognition. Sounds like mostly an inner-circle type of perspective.
They are purposely losing billions, this is a growth phase where all of the big AI companies are racing to grow their userbase, later down the line they will monetize that captured userbase.
This is very similar to Uber which lost money for 14 years before becoming profitable, but with significantly more upside.
Investors see the growth, user stickiness and potential for the tech; and are throwing money to burn to be part of the winning team, which will turn on the money switch on that userbase down the line.
The biggest companies and investors in the planet aren't all bad at business.
But there are a ton of LLM powered products in the market.
I have a friend in finance that uses LLM powered products for financial analysis, he works in a big bank. Just now anthropic released a product to compete in this space.
Another friend in real estate uses LLM powered lead qualifications products, he runs marketing campaigns and the AI handles the initial interaction via email or phone and then ranks the lead in their crm.
I have a few friends that run small businesses and use LLM powered assistants to manage all their email comms and agendas.
I've also talked with startups in legal and marketing doing very well.
Coding is the theme that's talked about the most in HN but there are a ton of startups and big companies creating value with LLMs
I'm confused with your second point. LLM companies are not making any money from current models? Openai generates 10b USD ARR and has 100M MAUs. Yes they are running at a loss right now but that's because they are racing to improve models. If they stopped today to focus on optimization of their current models to minimize operating cost and monetizing their massive user base you think they don't have a successful business model? People use this tools daily, this is inevitable.
Pretty can get in the way sometimes. I like your site, it's easy to ingest the information quickly. I might simplify the design of mine to make it more usable. There's a reason why hackernews is still looking like this!
Yes, it's very polarized. That being said, people have shown a lot of code produced by LLMs so I don't understand the dismissive argument you make at the end.
Below is a link to a great article by Simon Willison explaining an LLM assisted workflow and the resulting coded tools.
A film screening aggregator website for independent film theaters in NYC powered by LLM agents.
Right now it's able to collect data from more than 30 sites with all very funky html formats with no custom code for each site.
When I began I had around 20% errors/hallucinations, right now it's way lower at around 3% errors in extraction. It's been fun and gave me a lot of experience building LLM powered data pipelines.
I created an agent to scan niche independent cinemas and create a repository of everything playing in my city. I have an LLM heavy workflow to scrape, clean, classify and validate the data. It can handle any page I throw at it with ease. Very accurate as well, less than 5% errors right now.
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