mleroy

Instead of chasing and flagging AI content, you could just use Self-Labeled Original Content. Let authors voluntarily tag their links with [Handmade], [Craft-Article] or [Artisan-Thinking].

Since you mentioned biohacking but are wary of "wetware" risks, consider Personal Bioinformatics via 30x Whole Genome Sequencing. Now that sequencing costs have dropped significantly, you can use AI to take a deep dive into the latest research surrounding your own genomic data.

While severall open medical databases and open-source tools exist, they are often fragmented or built for academia. There is significant room to contribute by hacking together better toolsets, localized databases, or AI-driven interfaces to make this data truly accessible.

Following the recent discussion on files as the ideal interface for agents [0], this might be an interesting exploration.

llm9p is a small, experimental 9P server that lets you interact with LLMs as a filesystem.

[0] https://news.ycombinator.com/item?id=47286408

Ontologically, this historical model understands the categories of "Man" and "Woman" just as well as a modern model does. The difference lies entirely in the attributes attached to those categories. The sexism is a faithful map of that era's statistical distribution.

You could RAG-feed this model the facts of WWII, and it would technically "know" about Hitler. But it wouldn't share the modern sentiment or gravity. In its latent space, the vector for "Hitler" has no semantic proximity to "Evil".

Schleswig-Holstein (pop. 3M) shows that Open Source in government is viable. We need an EU that shifts its focus from compliance frameworks to actually investing and building.

A key takeaway from this ruling is that "the systems contain copies of the original works." Does this mean that offering any open-weight model capable of reproducing copyrighted text snippets or lyrics will be prohibited? That would be a big setback for AI development in the EU.

The Dunning–Kruger meme has basically turned into a way for people to laugh at others for being “too dumb to know they’re dumb.” But that misses the point completely. The whole “I know that I know nothing” idea applies to everyone. So when people use the meme to mock AI or AI users, it just shows they haven’t learned that same lesson themselves.

Review of 1X Neo by the WSJ:

https://youtu.be/f3c4mQty_so?si=pkdj9q5ieoj7pzPc

I haven't limited my AI use. In fact, it has increased. It still feels experimental, and I often use it even when it does not save time, simply to avoid effortful thinking. That concerns me.

I believe we are heading toward a world where AI offers easy mental shortcuts for nearly everything, similar to how cheap carbs became widespread in our diets. I do not yet know how I will deal with that. For now, I am just a kid in a candy store, enjoying the novelty.

The vision of unifying Copilot/Cursor/Roo/Cline/etc. under a common configuration and best-practice layer is compelling, and I like the direction toward reusable templates and memory.

That said, I think the project might be aiming a bit too directly at the highest level of complexity — the full integration of vibe-driven rules across assistants — without first grounding things in foundational concepts. Personally, I’d love to see a clearer breakdown of stages, such as:

1. Formal concepts of LLM-driven project management, akin to how we reason about conventional PM tools/processes.

2. Abstractions and interfaces to build structured rules/prompts (in the broad sense) that can be versioned, composed, and reasoned about.

3. Configuration management to deploy/adapt those rules across specific environments (LLMs, IDEs, agents).

Laying that groundwork could make the ambitious cross-assistant unification feel more achievable and less brittle.

Still, kudos — I think we need more of this kind of experimentation and discussion in the open.

I can really relate to this — in school, biology felt like dry memorization. It never clicked with me, and I wrote it off for years. If I could recommend one subtopic of biology to math and physic people, it would definitely be mycology!

It's like real-life Pokémon GO and field mycology has a "collect 'em all" vibe. You get out into nature, identify and catalog fungi — it scratches the same itch as exploring an open-world game.

Fungi are discrete, classifiable entities with tons of metadata: GPS location, substrate, time of year, morphology, spore prints, photos, microscopic features. Perfect for structured data nerds.

Unlike many branches of biology, you don’t need to go to the Amazon. You can walk into your backyard or a nearby forest and find species newly known for your country and sometimes even new for science.

Microscopes, macro lenses, chemicals, even DNA sequencing. There’s a hacker spirit in mycology.

Projects like iNaturalist, Mushroom Observer, and FungiMap are full of real scientific contributions from everyday people. The barrier to entry is low, the impact can be surprisingly high, and the community is genuinely welcoming. Many leading contributors — even those publishing in cutting-edge scientific journals — are passionate autodidacts rather than formally trained biologists.

High intra-species variance, subtle features — perfect playground for machine learning wich is not nearly "solved" here.

Cordyceps that zombify insects. Giant underground networks that share nutrients between trees. Bioluminescent mushrooms. Many weird stories.

Over the past 30 years, computers and software have dramatically transformed our world. Yet many sectors remain heavily influenced by their analog history. My understanding is that the HN community has always recognized that the future is already here, just not evenly distributed across work environments, administration, and general processes. Didn't many of us believe that numerous jobs could be replaced by a few lines of code if inputs and outputs were properly standardized? The fact that this hasn't happened or has occurred very slowly due to institutional inertia is another story altogether. Whether software development will become a "bullshit job" or how the world will look in a few years remains unknown. But those who constantly praise their work as software developers while simultaneously acknowledging that other non-physical jobs and processes could be fundamentally overhauled are living in a cognitive bubble—something I wouldn't have expected in this community.

The Rust Belt's just one part of the story, not the whole US economy. Globalization actually created tons of wealth for the USA, but that money hasn't been spread around fairly. It's all piled up in coastal cities and with rich folks while factory towns got left behind. Cutting off global trade wouldn't fix anything - it would tank the overall economy while only helping a few powerful players pulling the strings. The real problem isn't trade deals; it's that the USA never properly invested the profits back into the communities that got hit hardest.

I’ve been thinking about the potential benefits of incorporating something like this into VR headsets. Since VR already controls the user’s visual perception, would adding a high-intensity blue light (not via the OLED displays but indirectly) allow for a more effective way to simulate bright daylight conditions? Achieving 10,000 lux at the eye would be much easier this way.

It seems clear by now that the Tesla brand has completely fallen out of favor with the progressive, high-earning, status-conscious demographic in Germany (their main buyer group). While there are tentative trends toward avoiding US products in general, I see little potential for this becoming widespread. Few people are actually boycotting Apple or Coca-Cola, and most continue to make a clear distinction between the American people and culture (which they consider close friends) versus the current US administration. I wonder how this compares to markets like Canada or Denmark? Are other brands facing similar challenges in those countries as well?

On the bright side, the No. 1 car sticker on German Amazon right now is: "I BOUGHT THIS BEFORE ELON WENT CRAZY."

@somnium_n: Now, wait a minute, I wrote you!

MCP: I've gotten 2,415 times smarter since then.

You’re right that "history" starts with writing, but "prehistoric" refers to the human period before written records, starting with the use of stone tools around 2.5 million years ago.

For reference, language deprivation experiments have a long tradition: https://en.m.wikipedia.org/wiki/Language_deprivation_experim...

I believe the concept of multimodal token embeddings is quite fitting for my own thinking. Certainly, my 'embeddings' are not always fully formed words, but sometimes they are.

I hope that Linux will be the best way to live the AI dream. AI on Linux could enhance user privacy and security by giving full transparency and control over data, ensuring that AI functionalities are aligned with individual preferences. I hope for a common system pattern where a local-first, frontline AI manages tasks and requests, seamlessly relaying them to either cloud services or specialized local subsystems, such as RAG-enabled components. Linux is uniquely positioned to bring these advanced features to the desktop without compromising privacy. However, if Windows e.g. offers the ability to select any text, hit a hotkey, and seamlessly format, improve, and correct grammar across all applications, while Linux lacks these capabilities, Windows will gain the upper hand again.

What do you think? Is it possible to give a polite, slightly anxious translator bot a metallic-sounding British accent without having to pay C-3PO's voice actor?

A bigger problem than AI alignment is human alignment. Sadly, the only effective alignment we have is return on investment.

I disagree with the author. Insights and opportunities to understand new technological developments increase every year. In the early years of these technologies, they were always less approchable to me. While in the 80s, I had to rely on outdated books from the library for superficial knowledge about PCs, now I can actively engage with AI developments in near real-time, experimenting with it as a service, running it on my own machine, or even training smaller models.

However, I am apprehensive about how society will navigate these new AI advancements. I believe we won't be able to adapt concepts and cultural techniques as quickly as the reality shifts due to ubiquitous AI. These social changes are beyond my comprehension and overwhelm me.

My engineering education has always helped me explain technology to both my parents and my children. But for now, it's just a matter of "fasten your seat belts."

I actually thought AMD would release something like that. But somehow they don't seem to see their chance.

When discussing silicon deities, maybe we can skip the Old Testament's punishing, all-powerful deity and reach for Silicon Buddha.