Consumerism is the idea that encourages the continuous acquisition of goods and services by ordinary plebs. Consequently, the solutions to a problem many LLMs present are also geared towards maximum spending, they won't present a budget, non-premium or a free solution even if one exists. They might elaborate if you ask about it specifically but rarely come up on their own. The default option is always the most pricey or premium option. Did any of you notice that with specific LLMs?

Logged into my old email after a year - it has everything setup with recent details, so I know for a fact it isn't more than a year. To my shock, all my data is now gone. Just a simple `fuck you` email at the top of my inbox. Is there any way to recover my old emails? Unfortunately I used to use this as my main account since the early 2000s. No shady stuff, just your average joe with an average email. Here's the only email now in my account:

Dear Yahoo Mail Member,

We’re so glad to see you’re back! Due to inactivity, your mailbox entered an inactive state. This means we stopped accepting your incoming emails. If your period of inactivity was long enough, we also deleted all of your emails. Now that you’ve signed back in, your mailbox has been reactivated and you will start receiving new emails again shortly. For more information, please visit the Yahoo Mail policy page at: https://en-global.help.yahoo.com/kb/mail/SLN2018.html

We’ve made some upgrades to your email experience since the last time you signed in. Now Yahoo Mail has a cleaner design and upgraded features to help you keep your inbox in order. Find whatever you need quickly without the clutter. Search by keyword, contact, date or any combination of these. With themes, you can pick your favourite colour and the level of intensity. The choice is yours. Stay on top of everything on the go. The top-rated Yahoo Mail app makes life easy to manage with features such as Subscriptions View. See all the mailing lists you’re subscribed to and easily unsubscribe with a single tap. You can download it here: https://mail.onelink.me

We hope that you enjoy your new Yahoo Mail experience.

Thank you,

The Yahoo Mail team

I am in the market for a new printer, and thought I'd check with the HN crowd for some recommendations.

I hate my HP inkjet printer with a passion. Feels like the ink lasts less than 100 pages of light printing. And the ink is expensive.

I was under the impression that Brother was a good brand, but it seems they are also following the HP playbook.

What printer do you actually use? Would you recommend it for regular home printing (mostly b/w, occasional color printing. Scanning, copying, etc. would be ideal)?

Is it even possible?

I don't completely hate AI, and leverage it to make things better but I don't like to use it for EVERYTHING.

At my current job we have outsourced our thinking, our design, our documentation, our sanity to it and I just can't do it anymore.

I'm considering getting out of tech entirely at this point I've been in it for almost two decades and I've reached my tipping point dealing with the way we're using it but fear basically every company hiring software engineers is doing the same thing (or worse.)

I'm ready to just be poorer at this point.

I constantly hear developers around me talk about how AI has completely changed their life and how they don't even program anymore, they just prompt. But any time I've used it, the output has always been off. And when the output is off I have to go and read through everything, learn how it works and fix it, which at that point I might as well write it myself.

I just don't understand what other people are seeing, I've mainly used Claude and ChatGPT, I got a free trial for premium but it's just underwhelming, their only use so far for me has been as a search engine, but they're a search engine that's wrong 20% of the time so even that use is questionable.

I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files.

Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output.

On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte).

It's pretty slow right now (roughly 20–30 minutes of training and 45 minutes each for compression and decompression on my AMD 7800XT).

Checkout the repo - https://github.com/samyak112/pym-particles

When LLMs first hit the scene I had assumed one of the big use cases would be to use the LLM's vast knowledge to teach people about subjects they are interested in. I thought there would be some hot app that let you suggest a subject (e.g. CUDA programming) and the app would interactively teach you and test your knowledge along the way. How come this use case never took off?

After using Claude Code at work for months I wanted to use it on my own projects too. Most probably because my vpn was on I got banned after 1 hour of usage. I got my 120$ back. 1 month later I signed up with vpn off. But this time probably because I used the same credit cart (and that's the only card I can use) they banned me again.

Even after I contacted support I got a generic "we have determined that we cannot reinstate your account at this time due to a violation of our Usage Policy" answer.

I'm not using it for anything unusal. "Summarize that markdown file", "how can i refactor payment module" kind of questions mostly. I couldn't even move to real coding because 1 hour was only enough for investigation.

My last chance is HN to get some visibility on my case. My Boris sees it or some other Anthropic employee.

Do you guys have any tips on getting my account back?

Most of use here are wage earners. I keep hearing of people making money with interesting side hustles. Like my neighbour rents graduation gowns for the local university. I'd love to find something like that but I need inspiration.

Maybe there will even be more interest in the invention and use of more advanced algorithms and data structures that use less memory?

I really wonder who clicks ads

The A2A protocol is an agent to agent protocol from Google. I was looking at it 6 months back but it didn't feel like I really understood how to use it at that point. Probably because we were all still trying to figure out agents and then the MCP protocol became quite a big deal. But now I'm starting to think that once an agent has tools and services and data and then contacts. Actually, the point of interaction becomes the agent itself and then if you build other agents you would want them to interact because they have the most relevant context and ability to answer whatever queries. So I was just curious to know if anyone is using this yet?

https://github.com/a2aproject/A2A

My team (around 40 people who write code) is evaluating tools for AI-assisted code review. The market appears to be rife with options, so before starting a series of free trials, I’d like to ask a knowledgeable crowd. What tools or services are you using? Do you use them just for code review, or for other purposes as well, such as incident response or branch management? Why did you choose them, and what do you like or dislike about them?

Hi, I run an open source Earth Memory project https://emem.dev [ https://github.com/Vortx-AI/emem ], idea is to be an open protocol for AI agents to leverage Earth Intelligence. Would love to understand shall we pitch ourselves as SaaS for AI or our focus on open source protocol might be a huge payback in longer run. Thanks

Do you think humans in the future in general will be more or less happy than they are now?

Feels to me like local models are an under-covered aspect of this whole AI boom.

If everything improves over time, at some point a good chunk of tasks won’t need to be done in data centers or be subject to the whims of a few frontier AI labs.

How close are we to that? Or is my thinking flawed?

I have been on the 20x Max plan of Claude Code for a while now, however since last week something changed and I seem to have been getting lots and lots of those 529 errors.

My workflow hasn't changed, same level of concurrency as usual, did they change their limits?

With the AI agents, comes the resurgence of TUIs, what is your opinion of them?

Design-wise I personally prefer the color, font and sizing consistency. I love the fact that keyboard is first class citizen and would prefer to use TUI to gtk/electron/windows-ui wherever possible.

Doesn't matter what domain and how big or small.

I keep getting no server for fda.gov links. Anyone else seeing this?

I am making my own systems programming language, called Tig. I want to write an OS kernel with it in the future. But i've been wondering why would I do that? Linux won, it seems there are no blue oceans left. Any ideas?

I successfully completed a pilot with a customer in niche industry. But it’s difficult for me to reach out to other customers.

In the meantime, we had inbound customers for our horizontal approach until we lost some SEO keywords.

Many mentors and investors recommended us to focus on narrow ICP, but it hasn’t worked for us yet while losing the organic traffic because of the tries.

What should I do? Should I rollback?

I’m lost and frustrated.

You can now control diff inline, track files, and reject/ accept as you like in Claude Code. With this new tool you get Cursor-like control over your claude code agents making your code cleaner, you never get lost in changes, and can reduce your PR review time by more than half. https://norrin.dev

Closing in on my second decade of programming, and I keep noticing how often we step on the same rake. A change breaks something, and in hindsight we already had the information to prevent it, we just never surfaced it. Or we ship a feature and never circle back to check whether it's used the way we intended, so we keep shipping more on the same untested assumptions.

Does this resonate? I'm fairly sure we all hit this, but I can't tell how many people see it as a fixable pattern versus just part of the job.

- After you finish a feature or project, where does what you learned actually go? Is it your head, an issue comment, a doc or wiki, a retro, somewhere else?

- When you start something new, do you explicitly pull in past learnings, like copy, link, reference, discuss it? Or is it all from shared memory?

- Got an example where remembering something earlier would have saved you real time? What happened?

Trying to work out whether this is a shared pain or just mine. War stories very welcome.

I know I am. I need to chill. Sloth bad but the opposite too.

A few weeks ago, Github decided to disable all Github Actions (including self-hosted runners) access for our open source org (lightningdevkit) for some unknown reason. As some of us happen to work for a company with a large Github corporate account, we tried to escalate through our corporate reps, who informed us that the issue appeared to be some drive-by contributors who weren't org members being flagged for using Actions to do crypto-mining. As the org isn't technically in our corporate account, we then had to wait a few weeks to get a response back on getting unbanned...only to be told that we "appeared to have been taking part in activity which goes against" Github's ToS. They then listed some examples of ToS-violating activities, none of which we've done, and the org itself obviously wasn't running any kind of mining in CI.

As we'd already had plenty of reasons to move off of GitHub (downtime, a website that has gotten consistently slower due to massive increases in client-side JS without new features over the past decade, PRs that won't load once they get past 50 comments, contributors getting banned (without crypt-mining) leading to potentially-useful PRs getting black-holed, slow support, etc, etc), this is more of a warning for others than any kind of attempt to get help.

Of course Github is struggling these days with an influx in AI Agent accounts driving a huge increase in spam and other garbage, so I sympathize a lot with the folks over there. But none of that means we have to use the (historically excellent) free product they're offering, we can also...not.

For those who weren't aware, codeberg/self-hosted forgejo can import entire github repos including historical issues and PRs, comments, etc.