I've used a Dahon Speed P8 extensively in Asia. In China you can just put a folding bike inside a large tarp bag and just get on any high speed train and then bike away when you reach your destination. It's awesome.
The only "gotcha" is how you deal with luggage. I've used a seatpost rack, but I've also had a seatpost rack fail on me one time.
Claude Code now has an official telegram plugin and cron jobs and can do 80% of the things people used OpenClaw for if you just give it access to tools and run it with --dangerously-skip-permissions.
I don't use OpenClaw is what I'm saying though, I use Claude Code for coding, and would like to better equip Claude by a custom coding harness that has superior tooling out of the box, but that is fair.
I use it sparingly with my guardrails project. I basically tell it to:
Check any tasks if it's not currently working on one, and to continue until it finishes, dismiss this reminder if it's done, and then to ensure it runs unit tests / confirms the project builds before moving on to the next one. Compact the context when it will move to the next one. Once its exhausted all remaining tasks close the loop.
Works for me for my side projects, I can leave it running for a bit until it exhausts all remaining tasks.
> not because AI is doing the work they used to do
No, it's absolutely happening that way.
I work in tech in a senior IC role. I'm now expected to single-handedly do the work that I would previously have led a team of 5-10 people to do. The junior ICs, we aren't really hiring for. This is not specific to my company, it's like this across the board.
2. The point of insurance is they're supposed to pay for shit
3. You figure out how to get them to pay for shit, sign an agreement that removes me of any patient responsibility of the balance bill, and assure me in writing that I will owe $0 no matter what
Coding models are effectively free. They are capable of making money and supporting themselves given access to the right set of things. That is what I do
I often see ads on Facebook for products where it says "selling out really fast" or "first batch already sold out" type of thing and my first mental response is "okay, I probably won't be able to get one then, I'll wait for your supply chain to catch up to the demand"
> The cost/benefit for doing this seems pretty similar between fusion as gas power.
The real problem is stupid capitalism reprices everything good to the price of the non-good thing. Solar was supposed to be almost-free clean electricity, but the price of panels has been repriced to make them the same as dirty electricity.
The main problem with Framework 13 thermals is that if you just put it on top of a bed or sofa, the cloth blocks the bottom ventilation holes and the PC roasts itself with zero airflow. It's fine placed on top of a table, just not on a soft surface. I wish they would fix this glaring issue. Most normies are just going to place their laptops on the couch or bed without thinking about it.
Macbooks have a better design here. They are safe to put on top of sofas and beds. No ventilation holes on the bottom.
Search this thread for the “oh but it’s so expensive, I could just buy a new laptop from any other manufacturer every 3 years and it would be cheaper” posts - those are the normies.
I was really hoping for 6 USB-C ports, dual NVMe, a flush bezel, a better webcam, and most of all, I was hoping for a cooling design upgrade that doesn't cause the computer to self-roast if placed on top of a sofa due to ventilation blockage. Bleh.
Although it's more likely they are protecting secret sauce in this case, I'm wondering if there is an alternate explanation that LLMs reason better when NOT trying to reason with natural language output tokens but rather implement reasoning further upstream in the transformer.
I would doubt it. They are mostly trained on natural language. They may be getting some visual reasoning capability from multi-modal training on video, but their reasoning doesn't seem to generalize much from one domain to another.
Some future AGI, not LLM based, that learns from it's own experience based on sensory feedback (and has non-symbolic feedback paths) presumably would at least learn some non-symbolic reasoning, however effective that may be.
My argument for this is mostly that we don't use language for all forms of reasoning, and are likely doing so on some internal representations or embeddings. Animals also demonstrate abilities to reason with situations without actually having a language.
I see language more as a protocol for inter-agent communication (including human-human communication) but it contains a lot of inefficiencies and historical baggage and is not necessarily the optimal representation of ideas within a brain.
The only "gotcha" is how you deal with luggage. I've used a seatpost rack, but I've also had a seatpost rack fail on me one time.
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