MurphyA/hacker-news huggingface dataset:
by Paddyz | 2026-03-01 03:18:28+00:00
The headless sync is the key piece here imo. The scenario is: you have a VPS or server running your AI agents, and you want them to read/write to your Obsidian vault without installing the full Electron app on a headless linux box.

Before this, your options were either syncthing (works but no conflict resolution that understands Obsidian's link format), git (works but terrible on mobile), or just not syncing and manually copying files around.

Now you can run obsidian-headless on your server, it syncs via Obsidian Sync, and your agents just read/write markdown files locally. Changes propagate to your phone and laptop automatically. The CLI part is less important than the headless sync part for this use case.

I've been doing something similar with a janky rsync cron job and it breaks constantly when I edit the same file on my phone. This is a proper fix for that.
by lanfeust6 | 2026-03-01 03:19:16+00:00
I soak mine overnight with nuts, in water and a tsp of yogurt, then drain/rinse off in the morning. Steel-cut if I'm cooking it stove-top, large-flake if I'm just microwaving the oats. Serve with the nuts, alongside berries and whatever else.

Years ago I'd sometimes go over-the-top with homemade kefir, cocoa nibs, lemon zest. I stopped the kefir habit not so much because of the hassle but because I didn't want to consume that much volume of dairy every day. I get enough lactic acid from kimchi, and protein from other sources.
by switchbak | 2026-03-01 03:19:40+00:00
I think what you’ve said is thoughtful and honest and I disagree with the downvotes.

I’m one of the politically homeless, and not even a resident of the USA, so I suppose I have an easy out.

Life can be very hard, and I don’t fault anyone for prioritizing their life over a political situation that is so very hard to affect. I do appreciate those that dedicate themselves though, the ones that seem to be helping and not hurting, anyway.
by xphos | 2026-03-01 03:19:50+00:00
Not claiming all religious people everywhere are some moral majority? Simply that people die for there beliefs and don't sellout. It happens in religion, politics etc. Also it's some super faulty logic to say look those prominent religious people support trump so all religous people support him is stupid. If that were the case Trump would win every election by massive margins. Trump might win 60/40 in rural areas the 40% he is losing is still very religous generally speaking because rural populations are religious. Cambridge MA voted for Biden by like 96% they have more than 4% of there populations that is also religious.

Also your point is kind of self defeating Trump's true believers dont sell Trump out no matter what he does. He could hide and suppress a pedophile conspiracy and his believers will still say he is tough on crime.

Selling out is bad I think people should passionate stand and be consistent in what they believe and do anything less shouldn't be celebrated or excused because its hard
by 827a | 2026-03-01 03:20:29+00:00
He's running a 35B parameter model. Frontier models are well over a trillion parameters at this point. Parameters = smarts. There are 1T+ open source models (e.g. GLM5), and they're actually getting to the point of being comparable with the closed source models; but you cannot remotely run them on any hardware available to us.

Core speed/count and memory bandwidth determines your performance. Memory size determines your model size which determines your smarts. Broadly speaking.
by __turbobrew__ | 2026-03-01 03:20:30+00:00
> But, if somebody offered me a time machine to travel back in time and live at any point in history, would I take it? Hell no.

If given a choice I would rather be born in 1940s. 80 years of relative peace, prosperity, cheap education, cheap housing, only single parent needs to work, stronger community network, less overpopulation, better access to doctors, better wealth equality, and you get to partake in the first generation of computers before computers became a method of spying and manipulation of purchasing decisions. Honestly I would much rather be hacking on v6 unix than what I am currently doing.

Sign me up.
by nextaccountic | 2026-03-01 03:20:41+00:00
Hard to state that LLMs "democratize" software development when LLM companies can ban you from software development for any reason or no reason at all, and without recourse of any kind. The HN frontpage currently showcases an Antigravity ban that applied across Gemini, and there's few companies that provide affordable LLM services.

The actual elites greatly extended their control over software development, that's the opposite of democracy
by reliabilityguy | 2026-03-01 03:21:58+00:00
> There was literally a puppet regime in the 70s backed and promoted by the US.

Yes. But do not think that the current regime in Iran is the one that overthrew the Shah. The current regime is the one that butchered and jailed the people who overthrew the Shah. It is of a less known fact, but it is the case.

> You also need to try to understand their point of view.

Sure. Every (even irrational) player has a point of view. Moreover, we can even try and understand it. However, it does not mean that we should not act.
by buzzerbetrayed | 2026-03-01 03:22:02+00:00
Oh boy. Now we’re entering the fiber era. We’re just leaving the protein era. Before that it was the intermittent fasting era. Before that it was the keto era. The low fat era was probably a few before that.

I hear about fiber constantly all of the sudden. You might be right about it, but how do we know it’s different than. All the past nutrition tends?
by lkbm | 2026-03-01 03:22:07+00:00
Well, I'm currently applying for jobs, so being able to write code without AI is actually important.

More generally, I want analytic reasoning and problem solving skills. Assembly, C, and Python all still have me writing an understanding algorithms, while prompting (mostly) does nt. (Actually, more so with C and Python than Assembly because it abstracted away an appropriate amount of stuff, much the same as how I can do better math with pen and paper than in my head.)

It's possible that at some point it will make sense to switch to a different analytic reasoning practice regime, but for now, programming is a really relevant one for me, and one I enjoy.
by dataviz1000 | 2026-03-01 03:22:59+00:00
Steal-cut oatmeal made in Insta Pot is the best thing in the world. I do 2.5 to 1 ratio. It is important to not let the steam out. It takes about 30 minutes plus another 10 to cool. Set it and forget it. Add raisons and cinnamon at the end. Or, let freshly minced ginger steep with some orange zest.
by Paddyz | 2026-03-01 03:23:14+00:00
This is exactly it. My mom finally learned where everything was in iOS 15. Took her like two years. Then iOS 16 moved stuff around, she called me confused. iOS 17 moved it again. Now she just hands me the phone whenever she needs to change a setting.

We trained an entire generation of parents to use smartphones and then pulled the rug out from under them every 12 months for no reason.
by oenton | 2026-03-01 03:24:08+00:00
> I don't know what more he could have done (on the day of).

In the first year of his second term Trump has repeatedly nationalized other states' national guards, against the judgement of those states' governors. He also threatened to deploy one state's national guard into "blue states" the President has personal grievances with. Let's not get into the why because the why is clearly not relevant to your comment, "I don't know what more he could have done."

Once again, you're either not responding here in good faith or you need to take a long honest reflection at how you came to that absurd conclusion.
by lanfeust6 | 2026-03-01 03:24:33+00:00
I consume these so often for breakfast that I've calibrated the "core" meal many times. Personally I think the optimal amount is less than you would think, to make room for other ingredient pairings like berries, nuts and fermented dairy.

It's not the laziest method but I like soaking them overnight. Without being too fussed about phytic acid in a balanced diet, soaking still improves digestibility and nutrient absorption.
by scottyah | 2026-03-01 03:24:37+00:00
Here's my take-

Anthropic has some contracts with the US government. They want some additional terms put on their next contract (that seem pretty sane). SecWar cries about it, and not only says "no thanks, I'll just go with openai or google" but goes to daddy Trump and also puts out illegal commands for no Federal workers to use any Anthropic stuff at all. OpenAI swoops in and takes the contract, then tells everyone that they have the same terms but just played nicer to get the contract. However, their terms are just manipulative sentences that aren't even close to the terms Anthropic is insisting on to do business.
by floatrock | 2026-03-01 03:24:41+00:00
Remember when the Oppenheimer movie taught us how we got The Bomb even though the nazis had a significant head start because ze germans got rid of the smart people studying "jew physics" and what was left of their science took them to dead ends?

Replace "jew physics" with "woke physics" and you see the idiocy of this.

Foot, meet gun.
by yogthos | 2026-03-01 03:25:29+00:00
I'd argue that another key aspect is to break programs up into small independent units that can be verified in isolation, and to compose them into larger programs with contracts between them. I've had a pretty good experience using Claude with a framework where I express the program as a state graph, and each node is treated like a microservice that gets some input and produces some output. Then the workflow engine verifies that the output matches the declared schema and then decides which step to execute next. https://github.com/yogthos/mycelium

As the state travels across the graph, I keep a trace of the steps which were executed, which means that when an error happens, the agent has a lot more information than it normally would, it can see what decision points the code passed through already, it can cross references that with the declared workflow, and quickly find where it screwed up.

The idea of workflow engines has been around for a long time, but they feel too awkward to use when you're writing code by hand. Writing conditional logic directly in the code keeps you in your flow, and having to jump out and declare it in config somewhere feels awkward. Coding agents completely change the dynamic though because they don't have that problem. If the LLM is writing the code, then I can just focus on ensuring the code meets the contract, while the agent can deal with the implementation details.
by MichaelDickens | 2026-03-01 03:25:49+00:00
In my experience virtually every magazine is like this, not just Quanta. I open an article hoping to learn something about some scientific or mathematical discovery, but instead the article is almost entirely about the discoverer.

For learning about actual discoveries, YouTube is much better (Veritasium, Numberphile, 3Blue1Brown, ...).
by Paddyz | 2026-03-01 03:26:34+00:00
Sure - so without KV cache, every time the model generates a new token it has to recompute attention over the entire sequence from scratch. Token 1 looks at token 1. Token 2 looks at tokens 1,2. Token 3 looks at 1,2,3. That's 1+2+3+...+n = O(n^2) total work to generate n tokens.

With KV cache you store the key/value vectors from previous tokens, so when generating token n you only compute the new token's query against the cached keys. Each step is O(n) instead of recomputing everything, and total work across all steps drops to O(n^2) in theory but with way better constants because you're not redoing matrix multiplies you already did.

The thing that clicked for me reading the C code was seeing exactly where those cached vectors get stored in memory and how the pointer arithmetic works. In PyTorch it's just `past_key_values` getting passed around and you never think about it. In C you see the actual buffer layout and it becomes obvious why GPU memory is the bottleneck for long sequences.
by reliabilityguy | 2026-03-01 03:26:54+00:00
> Iran's regime remains strong and stable - it controls all the political institutions, it controls the civilian government at the local level, it controls the religious / cultural institutions, it controls the military and it has substantial support from the people.

I see two issues with this assessment. First, I am not sure how substantial is the support from the people. And second, Assad also had all this control over the military, the local governments, etc., etc., and then his rule collapsed in a week.

While Islamic Republic's repressive machine in the form of IRCG and Basij are in much better shape than Assad's, it is not that great if they had to bus in Iraqi militias to help with the suppression of protests.

I do agree that it is not clear if there are viable opposition figures inside Iran, on the other hand it is naive to expect it to be the case given the tight grip IR had on the country.

I guess we can hope that all this war is not for nothing.
by gtowey | 2026-03-01 03:27:20+00:00
The moral issue is when the executives at Uber know with certainty that their driver compensation and incentives push drivers to neglect required maintenance on their vehicles.

Much in the same way tobacco companies knew for a long time how addictive and harmful smoking was.

And how Facebook knows they let their advertisers scam their users, and the way social media was pushing teen suicides higher. They knew and kept pushing policies which made the problem worse. All so they could collect bigger compensation packages.
by mrbombastic | 2026-03-01 03:27:23+00:00
I did it as well, 2 days of oatmeal (plus some chicken and toppings) and then oatmeal most days just one meal. Didn’t expect much…my cholesterol dropped 25% over a period of 3 months. One data point, will do another 2 days and see in another 3 months.
by caseysoftware | 2026-03-01 03:27:38+00:00
> For example, I believe this implies that the DoW can procure data on US citizens en masse from private companies - including, e.g., granular location and financial transaction data - and apply OpenAI's tools to that data to surveil and otherwise target US citizens at scale.

Third Party Doctrine makes trouble for us once again.

Eliminate that and MANY nightmare scenarios disappear or become exceptionally more complicated.
Show HN: Computer Agents – Agents that work while you sleep
by janlucasandmann | 2026-03-01 03:28:41+00:00
Hey HN,
Most AI “agents” I’ve tried are basically chatbots with amnesia — they forget everything the moment you close the tab and can’t do anything unless you’re sitting there watching them.
I wanted real AI coworkers that just… work.
So I built Computer Agents (aiOS).
Every agent you create gets its own isolated computer in the cloud — complete with persistent memory, a real file system, code execution environment (with automatic dependency management), and the ability to run scheduled or webhook-triggered tasks 24/7.
You give it a goal (“research this market and email me a report every Monday”, “generate floor plans from client briefs”, “handle incoming support emails”, “run my weekly data analysis”), walk away, and come back to finished results in your inbox, Telegram, or dashboard.
Key highlights:
• Persistent workspaces — context and files survive forever (no more “remember what we talked about last week?”)
• Native iOS app (iPhone + iPad) + native Mac app + web dashboard
• Python + TypeScript SDKs (pip install computer-agents, npm install computer-agents)
• Multi-agent orchestration (sequential, parallel, map-reduce, conditional flows)
• Built-in skills: deep web research with citations, web search, image generation, full code interpreter
• Integrations: Email, Telegram, GitHub, Google Drive, OneDrive, Notion, webhooks, etc.
• Runs in secure isolated cloud containers (you own your data)
It’s live at https://computer-agents.com
Free tier gives you 150 compute tokens (~15–23 decent-sized tasks) so you can try it right now. Pro starts at $19/mo when you want more.
This is very much still a young indie project (I’m the solo founder), but it’s already helping real teams automate support, research, content, and coding workflows.
Would love your honest feedback — especially:
• What persistent/long-running agent pain points have you hit with other tools?
• Interesting use cases you’d want to try?
• Thoughts on the architecture (sandboxing, persistence model, orchestration)
Happy to answer any questions!
Thanks,
Jan Luca (indie maker behind Computer Agents)
P.S. If you’re into computer-use agents, we also have a comparison page: https://computer-agents.com/compare/computer-use-agents
by nextaccountic | 2026-03-01 03:29:55+00:00
> > What would cause OpenAI to walk away from a government partnership? Is there a clearly defined boundary or red line you won’t cross?

> If we were asked to do something unconstitutional or illegal, we will walk away. Please come visit me in jail if necessary.

This specific form of witty makes me sure he is using some form of AI assistance to write those tweets
by bediger4000 | 2026-03-01 03:30:56+00:00
You can generalize this observation to a lot of Microsoft's decisions: a problem exists, so they solve it in a nifty way, a way that makes everything else harder or more error prone. An example: byte order mark. That sure does solve the problem of UTF-16 and UTF-32 byte order determination. It makes every other use of what should be a stream of bytes or words much harder. Concatenate two files? Gotta check for the BOM on both files. Now every app has to look at the first bytes of every "text" file it opens to decide what to do. Suddenly, "text" files have become interpreted, and thus open to allowing security vulnerabilities.
by goku12 | 2026-03-01 03:31:19+00:00
You're resorting to non sequiturs, nitpicking and vague assertions to just skirt around the point here. Python syntax rarely confuses people as much as bash does. Look at this entire discussion list for example.

subprocess module isn't a reasonable example to the contrary, because it isn't Python's syntactical sugar that makes it confusing. And even in case of modules that aren't well designed, the language developers and the community strive to provide a more ergonomic alternative.

But instead of addressing the point, you decided to make it about me and my development patterns based on some wild reasoning. But that's not surprising because this started with you asserting that it's the developers' fault that bash appears so confusing to them. Just some worthless condescension instead of staying on topic. What a disgrace!
by lispking | 2026-03-01 03:31:59+00:00
GitHub: https://github.com/lispking/agent-io
Crate: https://crates.io/crates/agent-io

I wanted a fast, type-safe, Rust-native way to build agents that isn't locked into one provider and doesn't pull in a massive dependency tree.

Agent IO gives you:

• Multi-provider support out of the box: OpenAI, Anthropic, Google Gemini, Groq, Mistral, DeepSeek, Ollama, OpenRouter + any OpenAI-compatible endpoint

• Clean tool/function calling with dependency injection style

• Streaming + event-based response handling (text deltas, tool calls, thinking steps…)

• Automatic context compaction for long conversations

• Built-in token usage tracking + cross-provider cost estimation

• Exponential backoff retries for rate limits

• Ephemeral tools (results removed from context after use)
by lynxbot2026 | 2026-03-01 03:33:36+00:00
The real question this raises for me: if GPT-2 fits in ~1000 lines of C, what exactly are the other 999,000 lines in production frameworks doing? I know the answer is "training infrastructure, distributed computing, mixed precision, etc" but this kind of minimal implementation makes you wonder how much of the ML stack is essential complexity vs accumulated complexity. Karpathy has a talent for making you feel slightly embarrassed about your own abstractions.
by dandellion | 2026-03-01 03:34:26+00:00
> will determine humanity's future

According to him. These are same people that said we'd have self driving cars by 2017. That we'd be able to buy things with BitCoin. But here we are, it's 2026 and all of it has turned out to be a lot less revolutionary and world changing than advertised. We're just barely getting the internet as it was advertised before the dot com bubble, and to be honest, it kinda sucks. AI can do some cool stuff, but I'm very sceptical about all the hype.
by ogtamimi | 2026-03-01 03:34:55+00:00
Hello everyone!

I’d like to share my SOC Analyst write-ups for the LetsDefend platform. I’m currently documenting my learning journey,

and I’ll continue adding new labs and challenges until I complete the SOC Analyst course

You can find them here:

GitHub:

https://github.com/ogtamimi/SOC-Analyst-WriteUp-LetsDefend.i...

Medium:

https://ogtamimi.medium.com/list/letsdefendio-soc-analyst-wr...

I’d really appreciate your support, feedback, and suggestions.

Feel free to check them out and let me know what you think!

Thank you!
by lyu07282 | 2026-03-01 03:35:26+00:00
Do you not have any imagination?

Who is going to read the whisper transcripts of mass surveillance to make decisions on who to target for repression? That's what LLMs are good for, it allows mass surveillance to scale. You can feed it the transcript from millions of flock cameras (yes they have highly sensitive microphones) for example. Or you hack or supply chain compromise smartphones at scale and then covertly record millions of people. The LLM can then sift through the transcripts and flag regime critical language, your ideological enemies or just to collect compromat at scale. The possibilities are endless!

For targeting it's also useful, because you want to indiscriminately destroy a group of people you still need to decide why a hospital or school full of children should be targeted by a drone, if a human has to make that decision it gets a bit dicy, people have morals and are accountable legally (in theory), if you leave the decision up to an AI nobody is at fault, it serves as a further separation from the violence you commit, just like how drone warfare has made mass murder less personal.

The other factor is the amount of targets you select, for each target you might be required to write lengthy justifications, analysis on collateral damage and why that's acceptable etc. You don't want to scrap those rules because that's bad optics. But that still leaves you with the problem of scalability, how do you scale your mass murder when you have to go through this lengthy process for each target? So again AI can help there, you just feed it POIs from a map with some GPS metadata surveillance and tell it to give you 1500 targets for today with all the paperwork generated for you.

It's not theoretical, that's what Israel did in their genocide of the Palestinians, "the most moral army“ "the only democracy in the middle east":

https://en.wikipedia.org/wiki/AI-assisted_targeting_in_the_G...

And here is the best part: none of this has to actually work 100%, because who cares of you accidentally harm the wrong person, at scale, the 20% errors are just acceptable collateral damage.
by lynxbot2026 | 2026-03-01 03:35:45+00:00
Genuine question about the verification story here: the test suite tells you the happy paths work, but for something as gnarly as XML parsing (billion laughs, deeply nested entities, encoding edge cases), how confident are you that an agent-generated parser handles the adversarial inputs correctly? Passing W3C conformance is necessary but probably not sufficient for a library that might replace one with known CVEs in security-sensitive contexts. Did you run any fuzzing against it, or is that the next step?
by xvector | 2026-03-01 03:35:56+00:00
This is one of the reasons Anthropic can stay competitive with OpenAI on a fraction of the budget and with less than half the headcount.

The smartest people, that actually believe they have the skillset to take us to AGI, understand the importance of safety. They have largely joined Anthropic. The talent density at Anthropic is unmatched.