5,971 karma · joined February 23, 2007
There’s growing evidence of cardioprotective effects independent of weight loss.
Eg https://www.thelancet.com/journals/lancet/article/PIIS0140-6...
> The cardioprotective effects of semaglutide were independent of baseline adiposity and weight loss and had only a small association with waist circumference, suggesting some mechanisms for benefit beyond adiposity reduction.
With a system prompt like “you’re an http server for a twitter clone called Gwitter.” you can interact directly with the LLM from a browser.
Of course it was painfully slow, quickly went off the rails, and revealed that LLM’s are bad at business logic.
But something like this might be the future. And on a longer time horizon, mentioned by OP and separately by sama, it may be possible to render interactive apps as streaming video and bypass the browser stack entirely.
So I think we’re a the Mother of All Demos stage of things. These ideas are in the water but not really practical today. Similarly to MoaD, it may take another 25 years for them to come to fruition.
I do agree that bandwidth is significantly higher in person, we’ve evolved efficient pattern detection, and wish it were more acceptable to meet up for a quick coffee immediately after matching. But a few bad apples spoil the bunch.
There’s an alternate explanation - that the fittest companies prioritize engagement and revenue until reaching some threshold of user dissatisfaction. The healthiest businesses often have customers who wish they could leave, but can’t.
It's only costly due to the waste heat from breaking. If you captured that energy with perfect regenerative breaking you could return to the same speed in the opposite direction. (In a spherical cow sense anyway.)
I’m actually a rails dev but I’d reach for phoenix if my app required a large number of persistent sockets (e.g. high-volume MCP servers). I say this mostly because the hosting story is better for phoenix (gigalixir) than rails (heroku, or similar services that run behind a request router). Of course if you want your own infra this argument doesn’t apply. But a $100 gigalixir box can easily serve 100k persistent connections — even a few thousand persistent connections is a non-starter on Heroku.
Is there any progress on that front? That would unlock a lot of applications that aren't feasible at the moment.
Edit: Sampling is a piece of the puzzle https://modelcontextprotocol.io/specification/2025-03-26/cli...
I also see a lot of discussion on Github around agent to agent (a2a) capabilities. So it's a big use case, and seems obvious to the people involved with MCP.
A lot of the fundamental issues with MCP are still present: MCP is pretty single-player, users must "pull" content from the service, and the model of "enabling connections" is fairly unintuitive compared to "opening an app."
Ideally apps would have a dedicated entry point, be able to push content to users, and have some persistence in the UI. And really the primary interface should be HTML, not chat.
As such I think this current iteration will turn out a lot like GPT's.
Lots of folks (myself included) are reporting it doesn't: https://github.com/openai/openai-apps-sdk-examples/issues/1
> It later transpired that Langan, among others, had taken the Mega Test more than once by using a pseudonym. His first test score, under the name of Langan, was 42 out of 48 and his second attempt, as Hart, was 47.[12] The Mega Test was designed only to be taken once.[14][15] Membership of the Mega Society was meant to be for those with scores of 43 and upwards.
Sort of like Bikram for hot yoga.
There’s a physicality in the definition that doesn’t really describe the best programmers I’ve worked with.
> In sports, "high motor" describes a player who consistently exerts maximum effort and intensity on every play, showing relentless energy, enthusiasm, and a refusal to take plays off, even when tired or the game situation is difficult.
> 4.1. Limitation
> This study has three limitations. The first is the composition of the participants, that is, the participants in this study were only women.
> Relatedly, the study did not ask about the participants' lifestyle, exercise, diet, education, career, etc. These confounding factors may have influenced the brain and brain volume. Therefore, future studies should test for reproducibility when men are included and these confounding factors are controlled. The second concerns the intervention method.
> Although this study used a double-blind method, it is not that method in the original sense. This is because the participants in the experiment could easily guess that the liquid was just water from the smell they wore. Therefore, the reproducibility of the present research results should be verified by using liquids with some scent safe for the human body.
> Relatedly, this study used rose scent and no other scents. Therefore, while the results of this study indicate that rose is effective, they do not indicate that other scents are not effective.
> Participants were not monitored to see if they were wearing scent correctly. Therefore, variations in participants' adherence may have influenced the experimental results. Future research should monitor participants by requiring reports with photos etc.
Ah this doc needs to be updated: https://help.openai.com/en/articles/11096431-openai-codex-cl...
- The permission system is broken (this is such an obvious one that I wonder if it's specific to GPT5 or my environment). If you tell Codex to ask permission before running commands, it can't ever write to files. It also runs some commands (e.g. `sed`) without asking. Once you skip sandbox mode, it's difficult to go back.
- You can't paste or attach images (helpful for design iteration)
- No built-in login flow so you have to mess with your shell config and export your OpenAI key to all terminal processes.
- Terminal width isn't respected. Model responses always wrap at some hard-coded value. Resizing the window doesn't correctly redraw the screen.
- Some keyboard shortcuts aren't supported, like option+delete to delete words (which I use often, apparently...)
This is on MacOS, iTerm2, Fish shell. I guess everyone uses Cursor or Windsurf?
I'm eagerly awaiting reproduction. I hope the results hold up and someone finds a way to bolt language onto it.
> There, I studied the early stages of neuronal development in the Drosophila embryo… > I graduated with my Ph.D. in September 2006 and decided that I would continue my research activity on sleep, using flies as the animal model.