Of course, she is. The whole government is made of people that supported Maduro and his policies. People that opposed him were ousted a long time ago. It's the way he stayed in power.
It's going to be hard to change the county's trajectory since it's top heavy with socialists AND the country's people were not the ones that caused the change in government. Think about Afghanistan and how decades of US occupation did little to change the country since the people there were not willing to embrace what the US had to offer.
Keep in mind that ultimately Livermore died broke. Trading stocks is a promise of wealth that's just a mirage. Smart long term investments is your best way to a wealthy future.
I was in my 2nd year on college when I remember Gerstner was named to run IBM. At the time, IBM was the big tech monster that was stagnet and needed a fresh way to move forward. He came in and radically changed how it worked. I remember services became a big part of its core business. He really made a big difference on how the company functioned.
What I admire is that one man changed IBM from the 50s and 60s stoggy IBM to a more modern functional company that was able to move forward. I supect that without him IBM would have died long time ago.
I think new tech students in general are given false hope with these coding courses. My experience has been that tech is not a one time shot learning experience that automatically leads to a a great high paying career. The course is just a start of a never ending learning journey. 10 months will not do it. It's just a start.
It's happening with college CS degrees too. I suspect it will happen with a great percentage of the people that are jumping into the AI career path too.
The real failure is over hyping how easy it is to get into a high paying tech career. The reality is that you have to work hard to get that first job and continue to work hard to make it a career.
I never had them as a kid. I was curious a few years ago and bought some. It turns out I really like them. I'm a fan I suggest everyone at least try them.
This is the time were investors need to be careful. Companies go public for a few reasons. 1) to use the shares to buy other companies 2) companies that are so profitable that they don't need the money but they want to cash out some of the shares 3) they can't get any more money from private markets.
Given that a few days ago SpaceX was trying to get more money at a 1 trillion valuation and could not get it then I would say the 3rd reason.
So if the smart money is having doubts at these valuations and they have to go public the I feel we are beginning to see the start of a peek. I give it one year. When we start seeing a large increase in IPO's then every one should start running for the exits.
Books are a hard sell. Think about it. You need to get someone to spend their time, lots of time, reading a book they have very little knowledge about. You have to convince them that its worth their time. You do that though promotion and trust. It takes time and hard work. Most authors, by a long shot, don't make money from a book , specifically their first. It takes lots of promotion and time to get started as an author.
The author of The Martian gave away the book for years before it caught on and made money for him and that book is outstanding.
Writing is a career not a one time book. Even then, it's a hard career to make a living at. Many people use books to express their ideas as a way to improve their true career. Think politicians that are running for office. Or people that want to improve their resume.
You need to continue to promote your book and hope it catches on. Think of it as a hobby until you can turn it into a career.
Also, if you tell me it's written by AI, I automatically think it's not something I want to read. I can get any LLM to write stuff to read. I don't need to buy a book. Use AI to help you but use your own style and words to write something people want to read. People are writing books written by AI by the thousands. You need to standout in that crowded market place. Good luck.
"Using LLMs at Oxide" [0], as seen on the HN frontpage yesterday, had a bit to say about LLMs as writers
> LLM-generated prose undermines a social contract of sorts: absent LLMs, it is presumed that of the reader and the writer, it is the writer that has undertaken the greater intellectual exertion. (That is, it is more work to write than to read!) For the reader, this is important: should they struggle with an idea, they can reasonably assume that the writer themselves understands it — and it is the least a reader can do to labor to make sense of it.
> If, however, prose is LLM-generated, this social contract becomes ripped up: a reader cannot assume that the writer understands their ideas because they might not so much have read the product of the LLM that they tasked to write it. If one is lucky, these are LLM hallucinations: obviously wrong and quickly discarded. If one is unlucky, however, it will be a kind of LLM-induced cognitive dissonance: a puzzle in which pieces don’t fit because there is in fact no puzzle at all. This can leave a reader frustrated: why should they spend more time reading prose than the writer spent writing it?
I don't gave proof but I would say that most successful startups are copies of other startups. A unique idea is so much harder to execute in both money and effort so coping an ongoing business and making it better is the way to go.
A successful business is mainly about managing resources and people. The idea is secondary.
I would bet on a successful team over an idea any time.
When i started using LLMs for code writing the code it wrote was messy and mostly wrong.
Recently my experience with relative small apps has been very positive. The code has been very readable and compact. But I can see where the code can get very messy if you don't have a structured plan for code development. It's very easy to create a messy code base that's hard to maintain.But the reality is that human developers do the same thing regularly.
I think that keeping the code that the LLMs write relative small and highly focus will lead to a code base that's easy to maintain over the long term.
I plan to create an app that relies heavily on LLM written code. I'm hoping that if I architect it as if am working with a team of programmers I'll be able to create a code based that I can update over the long term. I'll assign it assingments that I can then merge into the master codebase. You're in the same path. That's 2 of us. I think it will work out. We'll get what we want while saving a ton of time.
Thank you for the reply! Good luck with your app too! I heard of Claude Code filling out PRs but in my experience I haven't been able to successfully pull that off, as it creates errors and doesn't see it themselves. I am trying to experiment with a pipeline which it can find the feature it created by writing a frontend integration test and take a screenshot, using Playwright MCP, to verify whether it successfully or did not successfully execute the task. If it did not, then it loops until it does. This removes the human-in-the-loop and probably (I need to want internal evals to prove this out) increases its correctness per run. The bottleneck then becomes code review and making sure the code it did write isn't hot garbage.
It's going to be hard to change the county's trajectory since it's top heavy with socialists AND the country's people were not the ones that caused the change in government. Think about Afghanistan and how decades of US occupation did little to change the country since the people there were not willing to embrace what the US had to offer.