Looks like they created mess with AI and then open sourced it. I remembered I had to shift from them to metabase because they closed sourced their deployments docker/kubernetes I guess it was 3 years back.
But now AI screwed them over so they come with their own open-source spaghetti.
Like if we know formulation of drug then drug (+ any smaller modification - through AI) could be new formulation. That will break current Medical patent system.
How any content came into existence? Learning, Experience, connection, etc right? If AI is doing that then what's the problem?
Printing Press was also disturbing status-quo of its time. Any frontier technologies at their time did that. Be it Fire, Wheel, Horse, Horse Saddle, Gun, Printing Press, Nuclear war heads, Computers, Internet, AI, etc.
Don't make it ethical question but understand its new frontier for humans.
It is not good for text to speech (TTS) as well. I am trying it for few days. First of all 1.5B model documentation is not there. 0.5B realtime is shit model. I was converting text, line by line and it was randomly adding music and couldn't handle special characters like "…".
I really disappointed with this model to say the least.
- Complete support for WordPress REST API endpoints
- Multiple authentication methods (Application Passwords, Basic Auth, OAuth1)
- Intuitive interface for common WordPress operations (posts, pages, media, etc.)
- Support for custom taxonomies and post types
- Custom fields (post meta) management
- Robust error handling with specific exception types
- Full typing support for better IDE integration
- Automatic retries for failed requests
- Comprehensive documentation (https://wp-api-client.readthedocs.io/en/latest/)
I have 15 years of experience with Python however in this project, I didn't coded anything. Just Vibe coded. Putting errors from the console into chat.
Claude 3.7 Sonnet Thinking model used in this (using Github Copilot).
We need Sentinel AI for the next generation of Human Evolution, i.e., Going to Space and setting up space colonies. We cannot do that without AI assistance; sentinel AI just speeds that process up.
I agree with you. However, Inflation is resultant, not a fundamental thing that moves the pointer. Current, the Inflation scenario all over the world is because of Covid related quantitative easing.
Problem is, quantitative easing as the instrument is misunderstood by politicians. It creates/accelerates further debt burden on future generations. And, that just accelerated this debt trap for many nations.
The Demography dividend is already eroding fast. Natural Resources are already limited. So, Innovation is the only way out for nations. AI is a driver for that.
May be, we will see new world order in this lifetime only.
The debate over market timing is often dismissed with a simple “don’t try,” but Part 2 of this analysis digs into the nuances most discussions miss. Using historical data, behavioral psychology, and case studies, it challenges the binary "yes/no" framing and explores:
Why even rational investors fall into timing traps (spoiler: it’s not just greed).
Quantitative thresholds where timing might add value, based on market cycle analysis.
The role of algorithmic tools vs. human intuition in modern strategies.
For HN readers: If you’ve ever built models around market data, tested timing algorithms, or have strong opinions on efficient markets, this piece is a catalyst for debate. How do you reconcile historical volatility with long-term holding? Is there a middle ground between passive indexing and active timing?
Curious to hear from quant-minded folks, data scientists, or anyone who’s backtested timing strategies. What’s your take?