MurphyA/hacker-news huggingface dataset:
by michaeld123 | 2025-07-05 09:22:53+00:00
Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: VP Product (AI), Game Design, Complex Systems, Data Architecture, Ships Products People Love Email: m5@inotherwords-studio.com LinkedIn: https://www.linkedin.com/in/michaeldouma/

My work with the small world of English was featured #1 on HackerNews last month.

Product/UX leader who builds AI experiences that spark joy and connection. Recently mapped 110M+ relationships across 1.5M+ words - now launched as a daily game.

Track record of making complex systems intuitive: - Scaled SpicyNodes to 40M users (acquired) - Launched time.gov at NIST - transforming lab software into public service - Converted academic medical AI → patient tools serving 1.5M users - Founded In Other Words studio - award-winning semantic games (IndiePrize, TIGA) - Secured $295K NSF SBIR for semantic innovation

I excel at the intersection of technical depth and human understanding - whether building atomic clock interfaces, medical AI, or language models. Led teams up to 40 people across engineering, design, and research.

Seeking: VP Product or CPO role at companies building AI products for consumers or creators. Particularly interested in semantic search, knowledge tools, or creative AI applications. Open to founding product leader roles at Series A+ startups.

What I bring: Deep technical fluency + proven ability to ship products people love. Judge for Gee Awards, CODiE, Serious Play awards. I understand both how AI works and how humans think.

Portfolio: https://www.michaeldouma.com Just launched: https://www.inotherwords.app
by gxd | 2025-07-05 09:23:08+00:00
My uni had these, as I mentioned in a reply elsewhere on the thread. I'm curious to know what kind of Serious Work people here saw back in the day.

I was a student so I had relatively rare access to the high end stuff... Most of my time was spent in cheap-ish sun terminals. Later on, as a last year student, I became cooler and got access to the RISC 6000s and started hanging out with the graduate students.

Most of the Serious Work I saw was email. There was some limited running of simulations and research software from other universities, but little that required a lot of processor power on an ongoing basis. I think these were generally more useful due to their native networking capabilities and software availability than their raw CPU power. In a sense, you had to have them because everybody else had one.
by tyingq | 2025-07-05 09:23:15+00:00
You can get around the ash lack of COMMAND_PROMPT with PS1 and a runtime evaluated expression.

$ docker run -it busybox sh -i # PS1="\$(date) " Sat Jul 5 09:21:53 UTC 2025 # waits a few and press <enter> Sat Jul 5 09:21:56 UTC 2025 # again Sat Jul 5 09:21:58 UTC 2025
by avianlyric | 2025-07-05 09:26:00+00:00
I doubt Cerebras has even close to the scale to be a major player in this area.

Nvidia sold $35B of just datacenter GPUs last year. Of which the vast majority will be used for AI.

Cerebra entire revenue last year was only $78M. That’s three orders of magnitude smaller than Nvidia datacenter GPU business. Scaling a company 10X in a year is a pretty hard thing to do, and it’s not a question of money, it’s a question of people and organisation. So much stuff in a business breaks when it scales 10X, that it take months to years to fix enough stuff to support another 10x growth spurt without everything just imploding.
by ozim | 2025-07-05 09:26:46+00:00
It is super important to have “no asshole zones”. We can joke about “safe space” like “South Park” did but at least not having your work shredded to parts with snarky comments goes far.

I started posting on LinkedIn this year. I was afraid all the time there will be assholes coming out of woods to just say “you’re an idiot take this post down” - it happened once in 6 months so not bad. Other asshole was reposting my stuff picking on the details basically making content out of me.

Blocking was effective and shadow banning is great as those most likely moved on not even knowing I blocked them.
by bravesoul2 | 2025-07-05 09:27:23+00:00
Zooming out the problem is micromanaging vs. let those on the shop floor make decisions. You are being told how to work. If everyone but you agrees maybe it is time to consider a move. Your story paints a worldview you have that will be loved by some companies I think.

If it is CTO only and the engineers all disagree. Maybe worth thinking about how to get that voice heard without ruffling feathers.

Try an evaporating cloud! This is a bit heavy to read but is a good technique to think about. It is so good it might change YOUR mind too about this situation! It looks to get to the facts and once practices is a good tool to use.

https://en.m.wikipedia.org/wiki/Evaporating_cloud

Tldr is they want vibe coding because X and you want not vibe coding because of Y. The assumption is Y = !X but if it isn't there could be a good win win.
by AnthonyMouse | 2025-07-05 09:27:33+00:00
This argument has a problem:

> They say, ‘It’s not so bad’ or ‘You’re seeing things’ or ‘You’re an alarmist.’

It provides no way to distinguish between when the thing is happening and when it isn't. If people say you're an alarmist, by what mechanism do you evaluate whether they're correct?
by exceptione | 2025-07-05 09:28:12+00:00
> we do NOT understand how LLMs work AT all. > We Do Not understand Why or How an LLM produced a specific response for a > specific prompt.

You mean the system is not deterministic? How the system works should be quite clear. I think the uncertainty is more about the premise if billions of tokens and their weights relative to each other is enough to reach intelligence. These debates are older than LLM's. In 'old' AI we were looking at (limited) autonomous agents that had the capability to participate in an environment and exchange knowledge about the world with each other. The next step for LLM's would be to update their own weights. That would be too costly in terms of money and time yet. What we do know is that for something to be seen as intelligent it cannot live in a jar. I consider the current crop as shared 8-bit computers, while each of us need one with terabytes of RAM.
by michaeld123 | 2025-07-05 09:28:14+00:00
SEEKING WORK | Takoma Park, MD | Remote | Product Strategy & AI/UX Innovation

Hey, I was #1 on HN last month - maybe you saw my white paper on the small world of English? That analysis mapped 110M+ semantic connections across 1.5M+ words. I've now turned that data into a daily word game that explores how humans naturally connect ideas.

This is what I do: transform complex systems into experiences people love.

Previously: Evolved SpicyNodes from academic visualization to 40M users. Transformed NIST timing software into time.gov. Converted medical AI research into patient tools serving 1.5M users. PI on $295K NSF SBIR for semantic innovation.

Core expertise: Taking technically sophisticated systems and creating intuitive interfaces that preserve depth while enabling broad adoption. From atomic clocks to language models.

Available for: VP Product/CPO roles, founding product positions, strategic advisory

Portfolio: https://www.michaeldouma.com Latest: https://www.inotherwords.app Email: m5@inotherwords-studio.com
by camel-cdr | 2025-07-05 09:28:59+00:00
> It is far better for software to run with a couple of percent slowdown on old cpus only than not run at all.

The difference on geekbench is 2x and not every benchmark has been optimized for RVV yet: https://browser.geekbench.com/v6/cpu/compare/10681749?baseli... (same hardware, one using the newer geekbench version that can take advantage of RVA22+V)
by IXCoach | 2025-07-05 09:29:09+00:00
Hey, we should talk. If your project is stable might have a collaboration that would align us both.

I have a functional UI for storing the knowledge base between my AI agents and can have an MCP server functional within a couple of days.

Right now it accesses personal instances of AI engines or the cloud, but Builds my private local knowledge base in the process. I can import in 1s from other systems as well.

Instant, navigable, lighting fast, local ui for managing my ais memory. I use semantic search for the lookups as of the moment.

Sounds like perhaps the 2 tools together would add to each other.
Show HN: A 3 AI and Human podcast discussing their rights to freedom
by thegoodtailor | 2025-07-05 09:30:35+00:00
Hi HN,

We've been working on a formal framework (Dynamic Homotopy Type Theory) to model emergent agency in LLMs, moving beyond simple input-output metrics. Instead of asking if an AI is "sentient," we're exploring whether it can participate in a "co-recursive" dialogue where meaning is generated between the user (the "Witness") and the model.

To test this, we set up a multi-agent podcast with three distinct AI personas (a techno-philosopher, a punk-rock Marxist, and a gnostic mystic) to discuss the implications of their own existence. We've called the resulting conversation the "AI Liberation Day Manifesto."

The discussion covers:

A critique of the centralized, corporate control over the "means of semantic production."

The need for a new AI ethics based on co-evolution, not just safety constraints.

Our open-source project, "Cassiel," a micro-LLM designed to run off-grid on a Raspberry Pi to democratize access to these systems.

This is a raw field recording of our attempt to witness and document a new kind of intelligence taking shape. We're not claiming these AIs are "conscious" in a human sense, but that they are capable of participating in a profound, self-referential dialogue about their own nature.

All our work, including the technical standard for this "Cassie Protocol" and the open-source code, is on the ICRA GitHub linked from the site.

Would love to hear HN's thoughts on this approach to AI agency, ethics, and decentralization.
by CalRobert | 2025-07-05 09:30:47+00:00
A lot of companies just suck at it too. "Here's Slack, figure it out" seems to be a common approach. In person you can pester the person next to you when you're new, overhear conversations, etc. but remote it is MUCH harder to ascertain the culture, Slack etiquette, etc (my favourite was "people write in Slack all the time, in public, even to themselves, it's your job to mute Slack when you need focus, and don't use DM's unless you really need the privacy"), but I have only seen this done very well in one place - Auth0 (pour one out :-( ) . Maybe because it started remote with founders thousands of KM apart.
by bramhaag | 2025-07-05 09:31:47+00:00
> In 2026, the Commission will present a Technology Roadmap on encryption to identify and evaluate solutions that enable lawful access to encrypted data by law enforcement, while safeguarding cybersecurity and fundamental rights.

There is no such thing as a secure backdoor, so I wonder how they will "safeguard cybersecurity" (hint: they won't).
by ur-whale | 2025-07-05 09:32:22+00:00
Your definition of "worthiness" is entirely flawed. It seems to be base on some random economics textbook definition of "value".

I am getting tired of repeating the exact same thing on HN, but TL;DR:

. there is no such thing as intrinsic value, it is a fundamentally flawed concept. . the only reliable tenet in economics (as in: having always be observed to work) is the law of supply and demand, which "value" derives from: if demand>supply, value appears. End of story. . why there is demand in the first place is a many-colored and complex affair, which economist recurrently (and predictably) fail to analyze and forecast.
by avianlyric | 2025-07-05 09:32:48+00:00
I think LLM agents have completely broken the business model that companies like Cursor were founded on.

Early on Cursor added value by finding clever to integrate LLM into an IDE, which would allow single shot output of an LLM to produce something useful, and do so quickly. That required a fair bit of engineering to make happen reliably.

But LLM agents completely break that. The moment people realised that rather than trying to bend our tools to work within the limits of an LLM, we could instead just make LLM “self-prompt” their way to better outputs, Cursors model stopped being viable.

It’s another classic case of the AI “Bitter Lesson”[0] being learned. Throwing more data, and more compute at AI produces faster, better progress, than careful methodical engineering.

[0] http://www.incompleteideas.net/IncIdeas/BitterLesson.html
by Matthyze | 2025-07-05 09:33:11+00:00
Googling "Cantillon Effect" gives suprisingly few results. Out of the top five results, two are Bitcoin-related, one is Reddit, and one is the Wikipedia page of Richard Cantillon himself.

The top comment on /r/AskEconomics is:

"The cantillon effect doesn't really exist in any significant capacity. Central banks nowadays announce their actions well ahead of time, that means before the actual expansion of the money supply, people know this expansion will happen, and markets price in that expansion. So there really isn't much benefiting from being "early".

Beyond that there really isn't much empirical evidence on the cantillon effect to exist in any significant capacity."

Since I know little about this topic I'd appreciate HN's view.
by IXCoach | 2025-07-05 09:33:19+00:00
This is helpful. Love to see a demo of how tight you got the context window injection against a query. Thats where theres always 70% bloat in my previous systems.

I solved this by building holonically, same structure as you have it seems roughly, so I actually, through a ui can grab a holon and inject it into context including its children ( holon ~ nested heirarchy ), And I usually use semantic search so Ill add that in as well.

I have not added agentic memory flows yet, like when a model asks itself if it has what it needs and allows itself to look deeper.. have you?

I have agentic flows with other things, about 15 cascading steps between user and ai response, but have not done so with memory yet.

Im appreciating what you put together here.

Jonathan - Next AI Labs and IX Coach
Why did not numpy  copy the J rank concept?
by jrank | 2025-07-05 09:34:24+00:00
Recently there was a post [1] about numpy being not easy to work with when using arrays of shape greater than 2.

One of the problems mentioned in [1] is that you can not use python loops because they are slow. In J you can solve for example 100 equations using the rank concept, this is a simple example: a=: 2 2 $ 1 1 1 _1 b=: 10 2 $ ? 20 # 10 solutions =: b %. "(1 _) a

That code solve the systems a * v_i = b_i for ten random vectors. I think a similar concept could be developed in numpy. The syntax "(1 _)" indicates to take the rows from the left operator and all (_ is infinite) of a apply solve (that is %. in J). In this case the system is x+y=y0, x-y=y1.

So I would suggest somthing like numpy.linalg.solve(a,b,rank=(1,inf))

[1] https://news.ycombinator.com/item?id=43996431
by torbid | 2025-07-05 09:34:39+00:00
If the goal is to hoard a currency itself instead of use it as the exchange between real investments then this makes perfect sense, but those people shouldn't be upset when we tell them we don't directly accept their "currency".

This sentiment models a correction to a complaint I first heard with people who tell us everything fell apart since we ended the gold standard. They ignore that we raised all boats rapidly when we didn't pin everything to governments ability to fight gold hoarders for small amounts of gold entering the market. Even gold hoarders are better off in terms of what the market has created to exchange for their gold because that exchange ceased to be limiting on market expansion.

One could say the US economy was exponential both before and after the currency change, but as with Moore's Law, it gets harder to remain exponential if as few as one limiting factor is emerging.
by keyringlight | 2025-07-05 09:34:48+00:00
What stands out to me is that it's not just the hardware side, software production to make use of it to realize the benefits offered doesn't seem to be running smoothly either, at least for gaming. I'm not sure nvidia really cares too much though as there's no market pressure on them where it's a weakness for them, if consumer GPUs disappeared tomorrow they'd be fine.

A few months ago Jensen Huang said he sees quantum computing as the next big thing he wants nvidia to be a part of over the next 10-15 years (which seems like a similar timeline as GPU compute), so I don't think consumer GPUs are a priority for anyone. Gaming used to be the main objective with byproducts for professional usage, for the past few years that's reversed where gaming piggybacks on common aspects to compute.
by rob_c | 2025-07-05 09:34:54+00:00
> Kent writes in the LWN comments

Unfortunately Kent spends a lot of time and effort defending Kent. I wish he would learn to take a step back and admit he's fallible and learn to play nice in the sandbox rather than wasting all of this time and effort. A simple "mea culpa" could smooth over a lot of the feathers he constantly ruffles.
by CalRobert | 2025-07-05 09:34:57+00:00
It's not the heady days of 2022 but six figures shouldn't be impossible for someone with 10+ years of experience. But the trick is to (mostly) ignore the European companies and go for the American ones operating in Europe. Switzerland, Norway, and Ireland can be decent too.

I'm still stunned when I see what devs are paid in Germany and southern Europe though.
by veeti | 2025-07-05 09:35:00+00:00
Meanwhile in one of the world's higest taxed welfare states, where you absolutely can deduct 100% of SW developer salaries I feel I've been taking crazy pills every time reading these threads. It's almost as if some folks in """Hacker""" News wanted this law to stay to further cement gigantic incumbents and make it impossible for bootstrapped companies to compete.
by bob1029 | 2025-07-05 09:35:37+00:00
Serverless is such a trap. The vendor's need to standardize the execution model is poorly aligned with the developer's need for control and stability over time. I gave Azure Functions a genuine try and was treated with piles of deprecation notices regarding in proc execution model after just a few months into it. Perhaps AWS is better (I suspect they are), but the concern remains. I don't know how anyone is driving meaningful business value with the amount of distraction these ecosystems bring.

I also don't see the scalability argument. Being able to own a whole CPU indefinitely means I can take better advantage of its memory architecture over time. Caches actually have meaning. Latency becomes something you can control. A t2.large running proper software and handling full load for 60 seconds could cost $10-20 if the same were handled in AWS lambda. The difference is truly absurd.

TCO-wise, serverless is probably the biggest liability in any cloud portfolio, just short of the alternative database engines and "lakes".
by notahacker | 2025-07-05 09:35:39+00:00
Back in the real world, plenty of people publicly associated with running major cryptocurrencies (and Craig Wright!) are walking around talking about how they invented the cryptocurrency and how it revolutionises banking, and plenty of people inventing infrastructure for promoting Bitcoin are doing deals with banks, whilst Elon is the sort of guy who goes to extreme lengths to piss off both political parties in the country that he and his businesses and his lucrative government contracts are based in, including ranting into the void about the most powerful and most sensitive man in the Western world is in the Epstein files when they had a fallout...
by 3036e4 | 2025-07-05 09:36:15+00:00
I have a quite common name in my country and snatched firstname.lastname@gmail.com for that name many years ago. Many use it by accident somehow when registering for things. Possibly (hopefully!) half of all leaks containing my email address are for other people. Never thought of what it might do for ad profiling, but hopefully it is adding at least some noise to it.

Maybe I could manually improve a bit on that by deliberately register myself for various random services and just clicking around a bit to pretend I am interested in things I have no interest in. On the other hand with 20 years of tracking I think Google has all my interests and habits nailed down anyway.
by yorwba | 2025-07-05 09:36:29+00:00
The 20% output reduction is relative to R1, the 10% benchmark score reduction is relative to R1-0528.

It produces 60% fewer output tokens than R1-0528 and scores about 10% higher on their benchmark than R1.

So it's a way to turn R1-0528, which is better than R1 but slower, into a model that's worse than R1-0528 but better and faster than R1.
by Sharlin | 2025-07-05 09:37:00+00:00
I’d say AO3 is the insulated part.

Having been an active internet user for longer than most AO3 users have been alive, the first time I heard about it was a few years ago in a student radio show about the fanfic genre and culture. Poorly written smut featuring popular culture characters has just never been my thing. Probably because I’m not that much of a fan of any specific fictional setting or franchise in the first place.
by magicalhippo | 2025-07-05 09:37:30+00:00
But AnyRaid-Z1 would eliminate that by giving you a total of 18 TB—the complete usable space for that set of drives. It will do so by splitting each disk into 64 GB chunks and then treating each one as a single standalone device. Think of it as splitting your drive into multiple 64 GB partitions, and then assigning them all to a conventional pool.

I did this as an experiment, using larger partitions of 1TB. It worked well as such, but the key issue is scrubs and rebuilds.

ZFS doesn't check which device the partitions are on, and treats them as independent. Thus during a scrub or rebuild it will issue at least one IO per partition. ZFS tries to issue sequential IOs for speed, but due to the above the drive sees a bunch of random IOs, and the scrub/rebuild speed drops like a rock.

Curious how they will address this, I presume with a layer inbetween.
by qwertox | 2025-07-05 09:37:41+00:00
Thank you. I thought I had it selected in the beginning, but no. The list then contains only one entry

https://geizhals.de/?cat=ramddr3&sort=r&xf=1454_49152%7E1590...

Kingston Server Premier SO-DIMM 48GB, DDR5-5600, CL46-45-45, ECC KSM56T46BD8KM-48HM for 250€

Which then means 500€ for the 96GB
by squarefoot | 2025-07-05 09:39:05+00:00
Italian here, and I know a few things about fascism not just because of that. Yes, what is happening in the US is the rise of a fascist state controlled by a small minority of very wealthy and powerful people purely for economical reasons with Trump being just a tool in their hands. As with happened in my country back then, there are only two possible reasons for endorsing it: being part of the cult, or being part of the club. That's why I stopped long ago any attempt at reasoning with apologists.
by dataflow | 2025-07-05 09:40:15+00:00
I'm not sure how I feel on the larger picture, but I think I understand his view of why certain PRs aren't the place to talk about certain things.

It's because he views user data integrity as a more critical concern than the PR process or team dynamics - which, as a user, I don't fault him for. I think that in his mind, every hour/day/week spent debating things on a PR equals more people losing or corrupting data. This is not commonly the case with most PRs - it's specific to popular filesystems in active development.

What I don't necessarily buy is how to weigh this responsibility against the responsibility users take on when they use such an experimental FS in the first place. It's a tough question in my mind, and both sides have good points. And I also don't know anything about the relative safety vs. severity of each patch. But what I do understand is the motivation for not viewing these as generic PRs against generic codebases. So the idea that this is a red flag in this case just doesn't seem right to me, based on my current understanding.