ghm2180

To Google and apple's credit they have at the least made location history stored on device instead of dealing with the slippery slope of warrants that ask for all devices around a point. Google specifically decided after a court ruling to get out of the morass of server side storage. There is a lot wrong with how permissioning works on android and Google services but this is not one of them.

geocities vibes?

Hey thanks for posting this. I use pi professionally too. I am curious how you used agentic workflows with pi before. The simplest(since the early days) was letting it use Tmux for spawning other sessions and controlling it.

The second case, more recent, is one where I use actively now is linking pi sessions to some artifact like a code change(PR or diff) or a collection of document and then continuing the session in that context.

What was your main power case with it.

Awesome! Congrats on the release. As an indie developer this is big!

It addresses is a lot of pain points were built as internal tooling I maintained before this e.g. the need for a daemon for a number of good reasons e.g. executing/resuming a session from any machine, following conversations on my phone, having agents respond to comments on my CRM or asking interfacing it my homegrown PR review system. I can now have the harness run on that system and a durable pi session on a central server.

Has anyone worked with https://shop.openbci.com/products/ultracortex-mark-iv?varian...? If so could they share how easy/ergonomic it was to have this set up to move around the home and work with and record data?

Executive functioning has to do with making decisions that requires planning on long range tasks and sticking to the plan and then carrying the tasks of it out.

There are certain things with ADHD that mess with executive functioning for me e.g. focusing on short term rewards rather than longer term outcomes, more active DMN(default mode network) i.e. the part that makes you worry about past or the future, memory encoding problems(i.e. how things go from short term memory to long term memory) etc.

Technically speaking, executive functions are roughly divide as: - nonverbal working memory. - internalization of speech (verbal working memory). - self-regulation of affect/motivation/arousal. - reconstitution (planning and generativity).

Yes its because it takes me a long time to sustain attention. It was never easy, but then I learned how to in a 10 day vipassana camp to sustain for that long to be able to get to a state where i could focus on my breath and do the meditation.

No problem in sharing, its vipassana meditation

> If you’re paying attention to what you are looking at, signals are traveling backward from receptors in your eyes to the visual cortex, and then forward into the rest of the brain via the wave to form a memory.

has someone used muse2 to measure there brain waves are indeed some how different on days/hours when tehy are focused?

Let me explain. I have ADHD, I am on medication. I read an alternate hypothesis to stimulant based treatment of how attention networks don't necessarily change with intake of traditional stimulants[1]; this is also something i have experienced.

Personally, medication helps me keep certain negative thoughts and resistance to doing things, but it does not help with longer arc change in executive functioning like planning or strategy. It just removes some barriers to focus on _a_ task, whatever is in front of me and I can do it. The only thing that really worked for executive function improvemement is meditation for 45 mins a day. I believe that also puts the brain waves in a different state. Which is why I've been interested in brain activity tracking and why this article is interesting too.

[1] https://www.nytimes.com/2026/09/29/science/adhd-attention-mo...

> At the same time, OpenAI is also making its existing $200 Pro plan less appealing. In Codex and Work, $200 Pro subscribers will see their included usage decrease from 20x of what the company offers to Plus users, down to 10x of that same allowance. In ChatGPT, meanwhile, GPT-6 Pro message caps will decrease from 200 to 100 per week.”

Fuck altruism, ammi right? lets make money, gobs of it by screwing the middle users as much as we can to push them into just two tiers: Ones that use it for recreation and others that pay through their noses.

Rooftop solar use had and continues to explode in most tier 2 cites where its seen as a great way to save on electricity bills by feeding that power back to the grid. Its one of the few bright spots in a country with relentless expenses and price pressures.

Well written. It describes the problem at a fairly high level for engineers to understand and for lay people to see how public policy works when it does.

Every second house had a diesel generator back then. Ours had to be cranked started by hand(not for the heartless) before push button starters became a thing. The shutoff though was simple tug on the switch; I attached a twine that ran to my bedside for shutoff, which was a godsend at 2:00 AM when the power came back on to make those crazy summer days a bit easier to sleep through.

This should be the way. Have a tiny burner phone for maps and any apps that you absolutely can't use without google(it should be a tiny set of < 10 apps hopefully) until you can fully de-google

My current de-google project is categorizing all my pictures on my local NAS to create the memories feature (where it shows historic pics on multiple theme axes). You can get really far with just a few hours of work a month to de-google and some off the shelf image embeddings.

The hero project in this category — what one cannot do trivially as an indie dev — is creating a great fresh PoI dataset. This is tough to do on a planetary scale because its a societal cooperation problem.

I've been using the planning framework from Matt Pocock on very typical brownfield code. I use a harness over claude code, this is so cheap that I would be tempted to mirror my initial prompt to it and compare their responses to the task.

Whoa! What a turn around. Does any one know if this is because of an overhaul of Gamestop's board or something? And why ebay?

The phrase going around the interwebs is "You can outsource your thinking but not your understanding". A phrase that can at times seem like this weird human<>llm endless loop; depending on what you think you understand and what the llm "thinks" to help you understand, it can seem like an LLM also understand. But it does not.

Its clear one can't really think about anything without building a basic understanding about it. Worth stating that these are distinct from learning. But, I would argue that it is important to know what you *have* to understand now and why is that important. An LLM can help you understand a great many things, you just need to know what you are looking for and that is something no artificial intelligence can really *do* for you. Trial and error, building a sense of self awareness, and talking to people is a better way to know what this is especially for fairly open ended problems.

The newyorker has fascinating and well written medical stories. For example, Dhruv Khullar always writes amazing columns https://www.newyorker.com/contributors/dhruv-khullar

Its already pretty easy to oneshot an extension aiding scraping and LI can do nothing about it. I've seen people build and install a local chrome extension in a couple of days and have an AI inject itself into devtools and scrape pretty much any website. And that was a few months ago. I don't think there is an easy way to defend against such things anymore. Its a matter of time that defensive programming measures like this become useless.

I use firefox with uBlock Origin's matrix turned on linked in and its cdn is explicitly black listed globally on it. I see links like ~`licdn` or some shit appear with a lot more frequency on webapps in the matrix now a days. I would recommend you all install it and block it actively.

Its disgusting.

The contractors in the report are separate from the incentivized people or contractors typically used to collect data.

Can this work with lightstream?

About the "they asked us to view it and then fired us for it". Having worked in their RL division(I don't work at meta anymore) this story is quite weird for two reasons:

1. Meta AFAIR paid/compensated people — contractors or recruited via ads — to have them submit their data. There are strict privacy protocol and reviews in place to distinguish data use in these cases vs gen public. This is not to say the process is perfect, but if these users are gen public, I would be very shocked.

2. Hiring contractors to submit data is a more controlled environment VS recruitment of gen pub via ads to submit data, but the former has more well understood privacy disclosures than the latter. This means in practice asking contractors to wear glasses and "move around their surroundings naturally and do things" goes well with basically the privacy practice "the data your are submitting we can view and use all of it for purpose X and nothing but X". BUT this framing is with ad based recruited people — which are general users who willingly submit data — is much much harder. My suspicion is they are running ad based recruiting in general public and while those users may have signed a privacy statement it is very surprising that they did not tighten the privacy practices around the use of the data and who has access.

To be clear we are — in the service of speed — trying to bake data into compiled program output binaries, which is ostensibly faster because code-pages in memory when executed by CPU as instructions already have it?

I do use an email alias everywhere. But I don't believe you can do the same with phone numbers. I tried using my twilio rented number and there is a way systems use to figure out if that is a real number for a person or a VoIP one. Though it is sometimes successful in use for signups and hence spam reduction.

I've commented elsewhere about just having simple rate limits tied to oauth tokens. This should not be that hard.

There is one simple policy: Subscriptions are for use on human scale of comprehension. API Keys are for everything else.

Anthropic can have a machine/bot get rate limited and people can build workflows using `claude -p` or something even better (like an SDK) , all the while using their OAuth tokens for max/pro.

yeah rate limits are the way to go. I don't see how this is not really simple: A human can only type or tts the text in and read responses only so fast, anthropic can use this as a baseline. They can create a client that can back off(rate limit) and wait, like for something like when a user says something like "spawn 10 processes with claude -p to do X" this client can calculate the rate limit and place an event in a queue and developers can use this client's rate-limit and build workflows around it: e.g. a client queue that has a timer event that expires the rate limit that was set can wake up a daemon. There are a million ways to implement the queue <> daemon thingy, its just software at that point.

Since the subscription is hard linked to an OAuth token this should be easy to track too. What am i missing?

Interesting. What kind of context usage does it have when switching between the two providers? Like is it smart about using the # tokens when you go from claude -> codex or vice versa for a conversation?

How does ctx "normalize" things across providers in the context window ( e.g. tool/mcp calls, sub-agent results)?

This is doubly true in Machine Learning Engineering. Knowing what methods to avoid is just as important to know what might work well and why. Importantly a bunch of Data Science techniques — and I use data science in the sense of making critical team/org decisions — is also as important for which you should understand a bit of statistics not only data driven ML.

Any recommendations? I read designing data intensive applications(DDIA) which was really good. But it is by Martin Klepmann who as I understand is an academic. Reading PEPs is also nice as it allows one to understand the motivations and "Why should I care" about feature X.