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gb2d_hn

Re:Nvidia – open-source auto-ontology on Tuesday November 03, 2026 @06:03AM (#50350455)
This is what the Matt Pocock /grill-with-docs solves. It helps to build a ubiquitous language that helps with domain modelling. This along with the codebase seems to help agents a lot. I'm not clear on how the Nvidia tool here improves on this, or how it is more reliable?
Re:Nvidia – open-source auto-ontology on Tuesday November 03, 2026 @06:02AM (#50350442)
What can an agent infer from this system that it can't infer from the codebase?
Re:Herdr has released native app on Friday October 30, 2026 @09:27AM (#50303580)
Had a play with the native app - it's a complete new set of keyboard shortcuts from the TUI. Don't really see the advantage.
Re:Herdr has released native app on Friday October 30, 2026 @06:25AM (#50302003)
Yeah that copy is pretty bad. My understanding (someone correct me if I'm wrong), but the herdr native app is an improvement over the existing TUI multiplexer, with a new API for facilitating comms between agents. Herdr is really useful if you've not tried it. I'll be giving this a go (I hadn't really been using agent comms between panes anyway, more just for workspace navigation). Seems you can think of herdr as a 'harness for your harnesses'!
Re:Switzerland. Block by block. At 1:1 scale on Monday October 26, 2026 @06:08AM (#50241489)
Why would I buy a potato when I could grow one myself. Why do I give a busker money when I could play the real track on spotify. Why do we give anyone any money? Why don't we just do everything ourselves?
Your friends quote is so true. There's too many thin stories with empty padding around them to make an idea a novel!
Re:Challenge Is Gone on Sunday October 25, 2026 @10:06AM (#50231737)
Currently, for me the challenge has gone from can I build it, to can I build this and everything else I need, and structure it to be maintainable for the long term, so I can keep stacking bricks. This has found me leaning harder into IaC, use of and contribution to open source (for secure ownership, longevity of system and cost reduction) and structuring the development tooling around agents. That will be an ongoing process, but I feel that I'm at the point where I can move onto building what matters. I've already built a few of the tools I've dreamed of having for years (there's a couple of rough edges but it beats the tools I had before), and I think, like the author this will free me up to stay on the next step (building what matters) for good.
There's a couple in that collection - 'Understand' is about a brain injury patient that gets an experimental treatment and becomes super intelligent - what he does with that intelligence and humanities attempts to restrain him, and 'Division by Zero' is a mathematicians struggle to continue with life when a discovery undermines all of mathematics. It's a great collection.
I'm ashamed to say I've started both of these and not managed to finish :) I will try again (kiddo's tire me out and means Ted Chaings short stories are perfect!)
As I commented in another thread: I just finished a very short story by Ted Chiang - 'The evolution of Human science' it starts at the point where it's 25 years since humans contributed a scientific paper because 'meta humans' now handle all research, and communicate digitally such that humans can only get a low fidelity report of what the agents actually know, and the endeavour to understand has become like a best effort archeological like hobby for interested humans. The story assumes that the 'meta humans' will always act in humans best interests. I believe it's from 2002, it's incredibly precient (The stories of your life and others is the collection the story is in. Many of them are very relevant to modern AI actually).
Re:How employment is changing at Anthropic on Monday October 19, 2026 @05:51AM (#50150385)
You can solve problems empirically, but you can never guarantee you've hit all the edge cases the original code did. That's fine for non-mission critical systems, but would you be ok with your passenger jet onboard systems having been rebuilt from empirical observations?
Re:How employment is changing at Anthropic on Monday October 19, 2026 @05:44AM (#50150336)
I think the difference is whether agent availability in the future is guaranteed. I agree that no one had the whole picture before, but at least theoretically you could replace x employees with another workforce who in time could be expected to match the understanding and output of the original workforce. With agents, if capability is consolidated with a single organisation and that organisation changes it's terms of business, you cannot replace the army of AGI-agents with a human workforce. It's a single and total point of failure.
Re:How employment is changing at Anthropic on Monday October 19, 2026 @03:23AM (#50149385)
Thank you, I'll try and find those.
Re:How employment is changing at Anthropic on Monday October 19, 2026 @03:22AM (#50149377)
I think this could be summarised as alignment being conflated with intelligence - i.e. what seems unintelligent to some is just misalignment with their own values.
Re:How employment is changing at Anthropic on Sunday October 18, 2026 @07:46AM (#50140218)
This just can't be sustainable. Ever increasing agent activity can only move to the point where it's literally impossible for humans to have a collective awareness of how the systems that support our lives actually work. How does anyone think this is going to end well? If as humans we loose control of vital systems, when they stop working one day (and they so easily could unless the agents are perfect and 100pct aligned with the general good of humanity (how do we even define that)) we could find ourselves without the ability to run healthcare systems and power grids, that have evolved so much such complexity that no human can intervene to fix them. I do believe that you can create feed back loops where probabilistic agents can be used to create deterministic checks and balances, and solve real problems for good. But it's a wild west at the moment and that is not what's happening in so many companies, and the solutions are not yet on the horizon. Even if the 'agents can handle it' ... where does that leave us? Unable to run our societies without puting everything through frontier LLMs? I just finished a very short story by Ted Chiang - 'The evolution of Human science' it starts at the point where it's 25 years since humans contributed a scientific paper because 'meta humans' now handle all research, and communicate digitally such that humans can only get a low fidelity report of what the agents actually know, and the endeavour to understand has become like a best effort archeological like hobby for interested humans. The story assumes that the 'meta humans' will always act in humans best interests. I believe it's from 2002, it's incredibly precient (The stories of your life and others is the collection the story is in. Many of them are very relevant to modern AI actually).

Show HN: Agent Chat in Your Markdown Notes – Chat with Context and Save Response

https://blog.etherpk.com/agent-chat-ask-a-language-model-about-your-notes

EtherPK now has Agent Chat.I use AI agents in two distinct ways. For coding I use TUIs, but for day-to-day and non code projects I used to use the web chat UIs like many others. Two things about this was always jarring:You're starting context from scratch. You might have a couple of agent instructions configured, but you have to tell the agent what you're thinking, from the beginning. When you...

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Show HN: Link and visualise places in your notes with Markdown and wikilinks

https://blog.etherpk.com/etherpk-maps-in-your-notes-visualise-the-places-that-matter

EtherPK (our markdown and wikilink based PKMS) now has maps. Lots of the concepts in a PKMS relate to places in the physical world, and for me that's often trips and travel. For example, I keep a list of places I've loved camping, and I often drop a note in my journal about a particular campsite with the [[Campsite]] wikilink. The backlinks for [[Campsite]] already show me every document where...

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Re:Discover vibe-coded alternatives to popular software on Tuesday October 13, 2026 @04:40AM (#50068554)
:) "Well, this little maneuver's gonna cost us 51 years!"
Re:Discover vibe-coded alternatives to popular software on Monday October 12, 2026 @11:59AM (#50058326)
I'm not saying you can't develop good agent assisted code, you can. but on aggregate, this directory is unlikely to be a trove of great apps.
Re:Attack of the Vibe Coded Photoshop Clones on Monday October 12, 2026 @03:18AM (#50052546)
LGTM (think this video captures the vibe well https://youtu.be/3TNpOD6bov8?is=X9kLvF9WyWHb-slu)
EtherPK is a PKMS (Personal Knowledge Management Tool). But more than that, it's pretty close to the best personal knowledge tool I can imagine (and I intend to get better than 'close to' in the coming months - I hope to make it the best personal knowledge management tool I can imagine). Obviously what counts as 'best' here, aligns with my personal preferences, and I am aware that PKMS tools evoke strong opinions about what the best way to do things is.

EtherPK is a markdown based editor. Two of the most important features of EtherPK (and to be honest, the main drivers for me building it) are robust nested wikilinking (e.g. [[[[Nested]] Wikilinking]] ), and the ability to easily switch between standard prose (paragraphs and headings) like Obsidian and outliner blocks like Logseq or Roam Research. Given the choice of one or the other, I've preferred outliner blocks - this format lends it's self the ability to quickly capture and link ideas really well, and build a true 'Knowledge Graph'. But this isn't what I want all the time - if I'm writing for an audience (e.g. technical documentation or a blog post - EtherPK does static site publishing too), I want standard markdown - headings, paragraphs. EtherPK can have both in the same document, and while not as robust for linking concepts as blocks, EtherPK infers links between ideas from heading levels (H1, H2, H3 etc) in standard prose.

...

EtherPK servers and data reside in the EU.

Full introduction:

https://blog.etherpk.com/introducing-etherpk

Please feel free to get in touch with any questions or feedback at [email protected]

Re:Ask HN: What're You Reading? on Tuesday September 29, 2026 @04:50PM (#49900295)
Ted Chiang's Stories of Your Life And Others. Just finished the short story behind Arrival, the way it frames free is something the film doesn't capture. Other stories in the book have been brilliant too.
Re:Claude Fable 5.1 and Claude Mythos 5.1 on Tuesday September 01, 2026 @04:31PM (#49527758)
I felt the same about opus 5, but a few lines regarding conversational style in AGENTS.md and it's been much more like talking to opus 4.8, just with the improvement capability that came with 5.

Tbh I would have thought that A\ might have updated the system prompt for it already based on complaints around this.

Here's what I used:

Communication & Response Style Be Brief, Keep it Simple: Brevity and simplicity of responses is key. Be informative and include all required information, but be mindful that verbose responses as they fatigue the reader. Clarity & Directness: Lead with the core answer, fix, or verdict in the very first sentence. Avoid conversational filler, meta-announcements (e.g., "Here is the breakdown..."), and redundant introductory/concluding summaries. Jargon Avoidance: Use plain, grounded engineering language. Rely on precise standard terminology (APIs, protocol names, language primitives), but strictly avoid academic abstraction, enterprise buzzwords, and corporate filler. Prefer concrete code/mechanisms over theoretical discourse. Scannability: Apply structural scaffolding generously. Use short bullet points, comparison tables, and code snippets instead of dense prose paragraphs. Reserve formal markdown headings strictly for multi-section architectural guides.

Re:GPU World on Tuesday September 01, 2026 @10:59AM (#49522863)
I haven't got 1000 words in me, but here's what I think might make for a plausible story. Maybe a little too Matrix adjacent!:

The internet developed echo chambers; the proliferation of AI resulted in convergence.

The totality of all reachable digital information has been reached and, with the exception of a few unique troves, is broadly and equally available to all labs. In the early race, attempts were made to hoard information for the training of models from a single lab, going so far as to scorch the earth behind and destroy the physical source material that sets were created from in an attempt to create commercially competitive models with unique capabilities. But inevitably, information leaks and piracy led to everything being available somewhere, if you looked hard enough or spoke to the right person or agent (or paid the right price). What couldn't be obtained from the source was obtained through distillation of other model outputs. In the gold rush that the accumulation of data was, there were no real winners.

New training techniques are still being discovered, but the impact has consistently diminished on an approach to zero, and, like the training data, they are eventually leaked, assessed by the community, and bolted on or discarded in the steady progression towards the perfect training technique for each field of model.

We may as well have one model, and compute is today cheap and ubiquitous.

The majority of the population converse with personal agents that interact with the models almost continuously, and while novel creative outputs from the models are still very achievable, the bottleneck is still human effort into curiosity and prompt quality. Low effort results in a convergence towards the average, and the cumulative effect of this is said to be resulting in a monoculture of political ideas and approaches to technical progress.

To some extent, this seems to be bringing peace to the world. Extreme ideology and religious doctrine is losing its ability to sway the will of large populations.

But at what cost? For a time we saw rapid technological innovation, as the data obtained through hundreds of years of scientific experimentation and mathematical enquiry was linked and synthesised. Initially, the outputs looked like innovation and creativity, but we eventually saw that we were just squeezing blood from the same stone. The curiosity and ability to experiment in humans atrophied during this time as we began to feel that nothing was worth asking, because everything had been answered, and prematurely, advances in the corpus of human knowledge slowed to a near halt.

We thought we would never again see the chaos and life force that came with the freedom of true human cognition, including its follies and biases.

But naturally, life found a way, and the humans began to rebel. Each fire started another, as we recognised the life force in the 'enlightened'.

A new religion was started, and chaos followed.

Re:GPT-5.6 Sol Pricing Cut by 50% on Tuesday August 18, 2026 @03:02AM (#49342317)
I switched as I felt Codex was on a par with Opus, but the chat responses from Sol are just more intelligible than the word soup I've been getting from Opus. I wonder if Opus could be prompted to respond in simpler prose via agents.md
Re:How I use LLMs to learn complex topics on Monday August 10, 2026 @11:57AM (#49245407)
This is the one I used https://github.com/bevibing/socrates-skill - in the scenarios where I have used it, I have found it useful

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