He also said AGI is just around the corner and that everyone will have Universal High Income...
For those unaware, SpaceX has already shifted focus to building a self-growing city on the Moon, as we can potentially achieve that in less than 10 years, whereas Mars would take 20+ years.
The mission of SpaceX remains the same: extend consciousness and life as we know it to the stars.
It is only possible to travel to Mars when the planets align every 26 months (six month trip time), whereas we can launch to the Moon every 10 days (2 day trip time). This means we can iterate much faster to complete a Moon city than a Mars city.
That said, SpaceX will also strive to build a Mars city and begin doing so in about 5 to 7 years, but the overriding priority is securing the future of civilization and the Moon is faster.
Search the Epstein documents for any mentions of your LinkedIn connections.
😂😂😂
github.com/cfinke/EpsteIn
Get your X bookmarks scraped and exported into structured JSON. From there, you can use any LLM to synthesize all your bookmarks for you :)
My favorite method is to dump the exported data into NotebookLM and use AI to retrieve, analyze, and answer any questions about them! Can also create infographics, and even audio summaries of them.
I created the following Chrome Extension to do that:
github.com/optmal/x-bookmark…
Ideal for anyone that gathers a bunch of bookmarks and want to make the best use of them 👍
Ok some thoughts after installing Clawd on a VPS:
- install was pretty smooth, IF you follow users on X that have good instructions (thanks @godofprompt )
- Telegram set up was very easy.
- basic web search tool failed about 50-60% of attempts. Tried with different models and same thing.
- looking at token consumption, every query processed takes 30k tokens and then another 30k for a simple web search to answer you back.
- kept getting frozen out of terminal, had to kill it and reconnect again.
My take: it's clunky, certainly not for people not comfortable with command line and configs, but it's worth a test for those that do...maybe it will work well for a use case you may have. It's a token eating machine, so on Opus 4.5 it will be very expensive or make you reach your limits fast. I've used GLM and MiniMax and at least it wasn't so expensive.
Yep, giving full access to all your data to something that's not been properly vetted and in scenarios prone to have tons of potential security issues is a choice lol
Replying to @aaalex
I think we will see a lot of horror stories regarding clawd in the near future.
I like how people are using dedicated hardware for it, but connecting your personal email, github, etc just seems like a security disaster waiting to happen.
I'm trying to set up a clawd assistant as securely as possible and I'll probably be setting up brand new accounts for everything.
Fact. AI is a great facilitator, but you need to know at least the basics to maximize its utility.
Google Brain founder Andrew Ng thinks you should still learn to code - here's why zdnet.com/article/google-bra…
Here's an idea for agentic workflows: instead of trying to automate tasks that people enjoy doing (shopping, booking a vacation) how about focusing on the dreadful tasks like filing tax returns, making an insurance claim, completing paperwork for municipal requirements (like asking for a permit or wtv)...
Very good thread...worth the read!
We tested a pre-release version of o3 and found that it frequently fabricates actions it never took, and then elaborately justifies these actions when confronted.
We were surprised, so we dug deeper 🔎🧵(1/)
xitter.cf/OpenAI/status/19125493…
Fantastic...I love @supabase
Been testing it...it's really good!
1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever.
Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on @lmarena_ai by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible.
Find it on Google AI Studio and in the @geminiapp for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.





















