This is incredible research. So much harm can be prevented if this makes it into law. I hope it does. Kudos to the anthropic team for making this public.
I had a similar problem this year after having moved to a new country, working a remote job and separated from my partner. Having had a terrible social life since I was a kid, I knew it in my bones that I'd have to find myself new friends or else. So I did - I renewed my relationship with old friends, joined a book club (was a big reader as a kid), and my dog helped me make friends at the dog park.
I find it interesting that I've thought about the exact social mechanics of making friends before as well - low stakes in person common context where you meet on a regular basis is key.
Yeah but work isn't all there is to life, at least for me. There are way more fulfilling things. If you like your work more than anything else in life, good for you. Different strokes for different folks.
I agree with the premise but take issue with the measure for "success": do you feel excited to get up and work on Monday?
We're humans and no matter what you're pursuing, you'll hit a point where your brain will adjust to the new reality and things will start feeling mundane. This is called the hedonic treadmill.
To me, what has helped is developing hobbies and relationships outside of work. We're social animals and need connection with others to feel fulfilled. Personally, my own life feels way more fulfilled right now than when I was just working on interesting projects at work or on my startup (that went nowhere).
> Code is so cheap it’s practically free. Code that works continues to carry a cost, but that cost has plummeted now that coding agents can check their work as they go.
I personally think that even before LLMs, the cost of code wasn't necessarily the cost of typing out the characters in the right order, but having a human actually understand it to the extent that changes can be made. This continues to be true for the most part. You can vibe code your way into a lot of working code, but you'll inevitably hit a hairy bug or a real world context dependency that the LLM just cannot solve, and that is when you need a human to actually understand everything inside out and step in to fix the problem.
Be careful with sharing this URL in your Instagram DMs. I built something similar a few weeks ago for watching Instagram reels, shared a link to it with someone on Instagram, and my account instantly got suspended because this type of stuff violates Instagram's TOS and they crack down really hard on it.
Dog enrichment calendar - I have a lot of different types of treats, toys and activities that I'd like to do with my dog but I fell into routines and just gave him two or three toys and treats on repeat. So I'm building an app where I'd be able to configure an inventory of all the treats and toys I own and the app would remind me to use a new toy or treat every day, to minimize repetition. You'll also be reminded ahead of time for toys and treats that require preparation
I relate to this. I started building side projects last year, and being used to all the bells and whistles of CI/CD, serverless/containers and amazing monitoring and dashboarding tooling, I defaulted to those patterns even for my tiny projects. To make matters worse, I tried building everything on top of free tiers of various services, which made configuration and setup even harder as I was trying to glue things together in non standard ways just to make free stuff look like the stuff I have at my job.
I quickly learned that I needed none of that crap. Now I usually just have one dev environment (my local machine) and one prod, usually a free cloudflare worker. DB is almost always a free tier postgres instance. Testing and prod deployment happens on git precommit and postcommit hooks instead of inside a CI pipeline. No docker is usually necessary as I just build typescript services which have native support on most platforms. DB migrations are run directly from my local machine when I need them to run, instead of having specialized config in a CI pipeline.
I doubt that the product folks over at Google overseeing an experimental project like this have such outsized influence over something core like the ads engine
I'm an individual, experienced FAANG software engineer looking to build something in this space. Lmk if you want to chat about building something together
This could become the missing piece for RAG with LLMs for company data. Every query that requires a lookup can use this model and then an agentic LLM can crawl through the hierarchy of results to extract the relevant information for the user's query. I suspect that'll work much better than the current methods of chunking and storing data with metadata like title and author in a vector database and then performing a hybrid search