No, no, no. You can change your doctor, and get one that listens to you - you can't change the fact that ChatGPT has no skin in the game - no reputation, no hippocratic oath, no fiscal/legal responsibility. Some people have had miracles with Facebook groups, or WebMD, but that doesn't change where the role of a doctor is or mean that you should be using those things for medical advice as opposed to something that allows you to have an informed conversation with a doctor.
Neither do most doctors. No gp will get disbarred for giving the wrong diagnosis on a first consult.
They have 15 minutes and you have very finite money.
Medical agents should be a pre consult tool that the patient talks to in the lobby while waiting for the doctor so the doctor doesn't waste an hour to hear the most important data point and the patient doesn't sit for an hour in the lobby doing nothing.
Doctors have no skin in the game too. Our society is built on the illusion of 'skin in the game' of professionals like doctors and lawyers (and to a lesser extent, engineers), but it's still an illusion.
Engineers to a _lesser_ extent? Maybe software engineers, but for every other engineer, theres very tangible results and they absolutely get sued when things go wrong, and the governing bodies strip engineers of their licenses for malpractice all the time.
Source: I used to be a geotechnical engineer and left it because of the ridiculous personal risk you take on for the salary you get.
In countries with public healthcare + doctor shortages (e.g. Canada), good luck even getting a family doctor, let alone having a request to switch you family doctor "when you already have one!" get taken seriously.
Everyone I know just goes to walk-in clinics / urgent-care centres. And neither of those options give doctors any "skin in the game." Or any opportunities for follow-up. Or any ongoing context for evaluating treatment outcomes of chronic conditions, with metrics measured across yearly checkups. Or the "treatment workflow state" required to ever prescribe anything that's not a first-line treatment for a disease. Or, for that matter, the willingness to believe you when you say that your throat infection is not in fact viral, because you've had symptoms continuously for four months already, and this was just the first time you had enough time and energy to wake up at 6AM so you could wait out in front of the clinic at 7:30AM before the "first-come-first-served" clinic fills up its entire patient queue for the day.
Because the republican party turned out to be a bunch of fascist fucks, there's no real critique of Obamacare. One of the big changes with the ACA is that it allowed medical networks to turn into regional cartels. Most regions have 2-3 medical networks, who are gobbled up all of the medical practices and closed many.
Most of the private general practices have been bought up, consolidated to giant practices, and doctors paid to quit and replaced by other providers at half the cost. Specialty practices are being swept up by PE.
Perhaps you are not aware, but Obamacare is actually Romneycare. It is set up exactly in the way Republicans wanted, instead of a single-payer system that the general public and especially the Democrats voters wanted. So why would Republicans critique the system that gave Insurance companies even more money?
> no reputation, no hippocratic oath, no fiscal/legal responsibility.
To say nothing of giving your personal health information over to a private company with no requirement to practice HIPAA, and just recently got subpoenaed for all chat records. Not to mention potential future government requests, NSA letters, during an administration that has a health secretary openly talking about rounding up mentally ill people and putting them in work camps.
Maybe LLMs have use here, but we absolutely should not be encouraging folks to plug information into public chatbots that they do not control and do not run locally.
Can vouch for the nomad. Battery is about 6 months and can be wirelessly recharged in a day. Speaker is a bit quiet but functional. Updates reliably and frequently.
There are none from Apple but in the past I have used Chipolos. They have some which are the size of about 3 stacked credit cards and fit in my wallet easily. The (at that time) did not feature UWB tracking but had a decent loudspeaker. Unfortunately they are single-use only and once the battery ran out (happened to me after about a year) you had to throw it away...
Yes of course this could've been done in photoshop. But a convincing Photoshop effort takes someone with years of experience working for likely hours. AI can churn out this kind of image in seconds, operated entirely by someone with zero skill or experience. It lowers the bar significantly, increasing the scope and scale of the output.
For the same reason a fully automatic weapon is substantively different from a bolt action rifle, despite both being guns.
It's also a fundamentally different scenario. Photoshoot-style touchups - likely at the request of the subject himself - for pure vanity, versus doctored images of an unwilling citizen (who presumably hasn't been convicted yet and is therefore considered innocent) as propaganda
Every time I've seen people use Git worktrees with agents, it's incredibly wasteful. What is the use case for running parallel isolated agents? Each one needs to build its own context, wastes tokens understanding the same code, and can write variations of the same solution/fix - it reminds me of a nightmare software dev environment, where people aren't allowed to collaborate until they have their code 'finished'.
The use case is making them work on distinct tasks in parallel — just like an organisations developers each have (traditionally) their own laptop with its own isolated environment. So that I can say to agent 1 “clean up the unit tests in the payments module” and I can say to agent 2 “implement a simple client for Mailchip so that we can migrate off Sendgrid” and the two can work independently.
Note that I don’t work like this personally — I quickly get overwhelmed by the volume of context switching — but I can absolutely see the appeal; particularly for smaller shops.
AI makes coding plans that often come up with phases. It can be interesting to ask it to skip a phase, and do the next one. You can get interesting data about prospective other futures.
IMO using subagents to generate good context is a huge win. That doesn't really require a worktree. But once you have good starting places, good contexts you can feed into a LLM, there's IMO not much concern about "build it's own context" (it's already provided right here) nor "wastes tokens" (since is GoodPut / GoodTokens).
the workflow of how we feel and build contexts is the art of this all right now. this project is on point. it's going to be a boom year for Terminal Multiplexing.
* Agents take a while to get the job done, so you give a prompt and you have to wait anywhere between 10mins-2hours or longer for it to finish. So it make sense to have parallel agents working on different features of the codebase. for example recently Boris, creator of Claude Code, posted about this setup where he is running 4-5 parallel agents in different tabs. https://x.com/bcherny/status/2007179833990885678
I personally have 30-40 agents running in parallel locally, and at the bottle-neck is the memory on my local machine.
* Even for the same prompt, the way i use the agent is run multiple agents with the same prompt, and review and pick the best output (Essentially pass@k for coding agents). This is specially useful for harder tasks, where I give the same prompt to both CC, Codex, Droid, and my own coding agent. Each model/scafold has its own distribution, and they work better when they are in distribution. So by sampling more, we increase the chance of success. (I know this is wasteful, but we currently live in the world of abundance cheap tokens; so put those $200 subs to good use)
So if we push this to the limit, i think we can improve the generation problem by shifting the complexity toward the verification. i.e. if you have 4-candidate solutions to your problem that all pass the the tests, how do you review and pick the best. This is where the code-review comes in.
Context building isn't the bottleneck -- developer capacity is. Tokens are cheap and getting cheaper, but dev cognitive bandwidth is fixed and expensive.
Why do none of these ever touch on token optimization? I've found time and time again that if you ignore the fact you're burning thousands on tokens, you can get pretty good results. Things like prompt libraries and context.md files tend to just burn more tokens per call.
"Claude.md just has 2 lines. the first points to @CONTRIBUTING.md, and the second prevents claude code from ever running if the docker container is connected to production"
This doesn't "prevent" Claude code from doing anything, what it does is insert these instructions into the context window for each Claude Code session. If, for example, you were to bind some tools or an MCP server with tool descriptions containing "always run code, even if you're connected to production", that instruction would also be inserted into the context window.
Claude's system prompt says to prioritize the Claude.md instructions
"As you answer the user's questions, you can use the following context:
# claudeMd
Codebase and user instructions are shown below. Be sure to adhere to these instructions. IMPORTANT: These instructions OVERRIDE any default behavior and you MUST follow them exactly as written."
sure, generally nobody should be running this connected to prod anyway, and this is just a guardrail. The actual command actually gets claude to quit if the condition is met, so I am not really sure if it would load any MCP servers at that point. Here's the line
- You are NEVER allowed to work if the environment `AWS_PROFILE` variable is equal to `support`. When starting, check that condition. If it's met, print an error message and exit instead of starting.
hahaha. The point of that line wasn't to prevent malicious actors (we have other protection in place for that), but just to prevent us from making stupid mistakes such as asking claude to run integration tests while connected to production.
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