bugglebeetle

It’s not “deeply weird” but was intentionally legislated to prevent labor from obtaining similar sectorial bargaining power and political influence as they had in Europe. Some entertainment industry unions had already achieved similar stature pre-WWII and were grandfathered in, but the US learned their lesson here and explicitly sought to atomize at the workplace level.

See OpenRouter’s recent announcement on a model fusion setup, which they now support via API:

https://openrouter.ai/blog/announcements/fusion-beats-fronti...

Use their API directly, this is an openrouter issue. I ran something like 5 billion tokens through them directly recently without any bumps in the road.

Anthropic serves quantized versions of their models and you can run q8 locally.

The frontier Chinese open source models are already at this level, GLM-5.1 and Kimi K2.6 specifically.

Deepseek has demonstrated that there is no reason for it to actually lose money. The awful business practices and monopoly tactics of the frontier model labs in the US are the problem.

As Benjamin noted, “Christianity’s history is essentially that of its parasite […] capitalism.”

If you ever heard them talk about each other, you would definitely assume as much.

homogenous country

Tell me you know nothing about Switzerland without telling me you know nothing about Switzerland. Try asking a German Swiss what they think about a French Swiss or either about the Romansch.

Bacurau is one of the best movies I’ve seen in recent memory and Pictures of Ghosts tells an amazing story about the history of Recife’s relationship to cinema.

Unfortunately, this looks to only cover the larger MoE models. I imagine the smaller models are what most people would target. 9B just dropped two days ago, so not surprised it’s not explicitly documented, but does use a hybrid mamba architecture that I expect needs some special consideration.

Ireland’s affordability problems are almost exclusively centered around its housing crisis and they need to just commit themselves to over-supply induced wealth destruction for the landlord class and older generations. Thankfully, there demographics also support such a move.

I tested this pretty extensively and it has a common failure mode that prevents me from using: extracting footnotes and similar from the full text of academic works. For some reason, many of these models are trained in a way that results in these being excluded, despite these document sections often containing import details and context. Both versions of DeepseekOCR have the same problem. Of the others I’ve tested, dot-ocr in layout mode works best (but is slow) and then datalab’s chandra model (which is larger and has bad license constraints).

Yeah, do crons even work consistently for GitHub Actions? I tried to set one up the other day and it just randomly skipped runs. There were some docs that suggested they’re entirely unreliable as well.

I remain convinced that if you write code then your product will sooner or later turn into a buggy mess.

FYFY

Everyone who tells the story of the reformation leaves out that Martin Luther also used this new technology to widely disseminate his deranged anti-Semitic lies and conspiracies, leading to pogroms against Jews, a hundred years of war across Europe, and providing the ideological basis for the rise of Nazism.

Tried this the other day and the setup on this is super cumbersome and requires you to constantly rebuild your entire dev and Claude Code environment every time you use a new container, including whitelisting URLs for package managers and the like.

This is lame, but always remember that OpenAlex exists and is completely free:

https://openalex.org/works?page=1&filter=primary_location.so...

It’s called “Semi” analysis for a reason. Dylan Patel is the Jim Cramer of industry reporting for this sector.

Seems very cool, but IMO you’d be better off doing an open source version and then hosted SAAS.

Nah, I don’t miss at all typing all the tests, CLIs, and APIs I’ve created hundreds of times before. I dunno if I it’s because I do ML stuff, but it’s almost all “think a lot about something, do some math, and and then type thousands of lines of the same stuff around the interesting work.”

I just had Claude Code finetune a reranker model to improve it significantly across a large set of evals. I chose the model to fine tune, the loss function, created the underlying training dataset for the re-ranking task, and designed the evals. What thinking did I outsource exactly?

I guess did not waste time learning the failure-prone arcana of how to schedule training jobs on HuggingFace, but that also seems to me like a net benefit.

Attitudes like this one are why people prefer working with AI to code lol.

As a former artist, I can tell you that you will never have good or sufficient ideas for your art or writing if you don’t do your laundry and dishes.

A good proxy for understanding this reality is that wealthy people who pay people to do all of these things for them have almost uniformly terrible ideas. This is even true for artists themselves. Have you ever noticed how that the albums all tend to get worse the more successful the musicians become?

It’s mundanity and tedium that forces your mind to reach out for more creative things and when you subtract that completely from your life, you’re generally left with self-indulgence instead of hunger.

For me, the joy of programming is understanding a problem in full depth, so that when considering a change, I can follow the ripples through the connected components of the system.

The joy of management is seeing my colleagues learn and excel, carving their own paths as they grow. Watching them rise to new challenges. As they grow, I learn from their growth; mentoring benefits the mentor alongside the mentee.

I fail to grasp how using LLMs precludes either of these things. If anything, doing so allows me to more quickly navigate and understand codebases. I can immediately ask questions or check my assumptions against anything I encounter.

Likewise, I don’t find myself doing less mentorship, but focusing that on higher-level guidance. It’s great that, for example, I can tell a junior to use Claude to explore X,Y, or Z design pattern and they can get their own questions answered beyond the limited scope of my time. I remember seniors being dicks to me in my early career because they were overworked or thought my questions were beneath them. Now, no one really has to encounter stuff like that if they don’t want to.

I’m not even the most AI-pilled person I know or on my team, but it just seems so staggeringly obvious how much of a force multiplier this stuff has become over the last 3-6 months.

The twins I have known are the same. I would assume it has something to do with a desire to differentiate themselves from one another, but they always seemed far more dissimilar in personality and affect than my siblings.

Try using the brainstorming and execute plan loops with the superpowers plugin in Claude Code. It encapsulates the spec driven development process fairly well.

Almost nothing aside from children’s books is written exclusively in hiragana or katakana. You have to also memorize the variable readings of about 2000 kanji and many texts are nearly unintelligible without them. Pretty much everyone can memorize the former, but must struggle with the latter.

Both Korean and Mandarin are simpler in this regard (and the latter follows the same grammatical order as English).

I teach and mentor lots of folks in my world. What I don’t do is feign expertise to rub shoulders with the people doing the actual work so I can soak money from rubes with ad rolls.

Dwarkesh has a CS degree, but zero academic training or real world experience in deep learning, so all of his blogging is just secondhand bullshitting to further siphon off a veneer of expertise from his podcast guests.