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This grossly simplifies things.

In the US the max federal tax rate is 20% on capital gains, that is the gains realized when you typically sell an asset. The max tax rate on ordinary income is 37%. Some states don't tax at capital gains at all. Others make also tax capital gains.

There are a myriad of loopholes to defer and minimise capital gains ranging from QSBS (first 10mil in small businesses) to trusts to foundations to offset losses. Billionaires are incentivised to hold their assets and let them accrue rather than deploying that capital.

Yes, you could argue that billionaires have earned his billions. But could you really argue that the tax system should be configured to reward them for sitting on those billions and those gains should be taxed at a rate lower than someone working every day to earn 200k in wage income?

The economy has a fundamental division between those who earn income off the gains on assets, and those who earn an income on wages. Wealth taxes help level the playing field by those who already have a tax system in their favor.

Trickel down economics does not work when you earn more holding on to what you have.


I wonder how much of the needs satisfied by this software in Alberta is also needed by other states? Yes, it's great that they saved money and built what they need so quickly, but a catch with govt is that they build out these proprietary processes that need more bespoke software.


Yes, they could have done a chromebook or pixelbook variant. No sane reason for a third brand that dilutes the other two aside from internal google politics/promotions and to show shareholders.

This does nothing for the customer and you can see a brand called Apple which has been successful with the Air, pro and neo under one brand.


Also product managers. Google has a chromebook brand that will a strong. It feels like someone split off the hardware and software under a different brand to get a promotion...


There's something heartwarming about the developer docs being released before the flashy press release.


Their audience is people who build stuff, techs audience is enterprise CEOs and politicians, and anyone else happy to hype up all the questionably timed releases and warnings of danger, white collar irrelevence, or promises of utopian paradise right before a funding round.


now that we can use AI to write the docs , test the docs , proof read the docs , it really isn't that much of a feat right?


If those docs were written by Deepseek, it’s also a pretty positive review of the model.


Insert obligatory "this is the way" Mando scene. Indeed!


Where's the training data and training scripts since you are calling this open source?

Edit: it seems "open source" was edited out of the parent comment.


doesn't it get tiring after a while? using the same (perceived) gotcha, over and over again, for three years now?

no one is ever going to release their training data because it contains every copyrighted work in existence. everyone, even the hecking-wholesome safety-first Anthropic, is using copyrighted data without permission to train their models. there you go.


There is an easy fix already in widespread use: "open weights".

It is very much a valuable thing already, no need to taint it with wrong promise.

Though I disagree about being used if it was indeed open source: I might not do it inside my home lab today, but at least Qwen and DeepSeek would use and build on what eg. Facebook was doing with Llama, and they might be pushing the open weights model frontier forward faster.


> There is an easy fix already in widespread use: "open weights"

They're both correct given how the terms are actually used. We just have to deduce what's meant from context.

There was a moment, around when Llama was first being released, when the semantics hadn't yet set. The nutter wing of the FOSS community, to my memory, put forward a hard-line and unworkable definition of open source and seemed to reject open weights, too. So the definition got punted to the closest thing at hand, which was open weights with limited (unfortunately, not no) use restrictions. At this point, it's a personal preference that's at most polite to respect if you know your audience has one.


The point is that "open source" by now has an established and widespread definition, and a "source" hints that it is something a thing is built from that is open.

Is this really a debate we still need to be having today? Sounds like grumpiness with Open Source Initiative defining this ~25 years ago when this term was rarely used as such.

If we do not accept a well defined term and want to keep it a personal preference, we can say that about any word in a natural language.


> "open source" by now has an established and widespread definition

For code, yes. For LLMs, the most commonly-used definition is synonymous with open weight (plus, I think, lack of major use restrictions).

> If we do not accept a well defined term and want to keep it a personal preference, we can say that about any word in a natural language

Plenty of people do. It’s generally polite to entertain their preferences, but only to a limit, and certainly not as a forcing function. The practical reality is describing DeepSeek’s models as open source is today the mainstream mode.


https://www.merriam-webster.com/dictionary/open-source

Perhaps you are right and this LLM-specific usage enters a dictionary at some point.

As I believe it is very misleading, I am doing my part to discourage it — it is not, imho, impolite to point out established meaning of words when people misuse them. We all create a language together, and all sides have their say.


I think the debate has been around what constitutes the source code. The mode has settled on weights. The spirit of the dictionary definition seems fine for excluding a definition that’s only practical if you own a multimillion-dollar ersatz mainframe.


You don’t need to defend a silly argument.

These models aren’t open source, they’re open weights, and some people will confuse the two.

It doesn’t make the wrong word the right one. Just that it’s a lazy combination and people don’t need to mind.


> doesn’t make the wrong word the right one. Just that it’s a lazy combination and people don’t need to mind

That’s a fair interpretation. I’m going one step further: if most people use the term “wrong,” including experts and industry leaders, that’s eventually the correct use. The term “open source” as requiring open training data is impractical to the point of being virtually useless outside philosophical contexts. This debate is on the same plane as folks who like to argue tomatoes aren’t vegetables, when the truth is botanically they aren’t while culinarily they are. DeepSeek’s model not being open source is only true for the FOSS-jargony definition of open source—in non-jargon use, it’s open source.


Yeah, open weights is really good, especially when base models (not just the instruction tuned) weights are released like here.


Nvidia did with Nemo.



They have the deep pockets to either win the lawsuit (fair use) or pay the authors.


Every lab has been sued whether they released training data or not.


it's not a gotcha but people using words in ways others don't like.


I can dislike word "bread" being used to represent edible produce made from (wheat) flour, yeast and water and insist that be called dough-nut (it looks just like a big nut made from dough), but I would be frequently misunderstood.

This is why we standardize meaning of words, out them in a dictionary — so we can more effectively understand each other.

https://www.merriam-webster.com/dictionary/open-source


It's not about likes, it's a flat out lie.


Aww yes, let me push a couple petabytes to my git repo for everyone to download...


An easier thing would be to say "open weights", yes.


They are exactly open source. The training data is the internet. Don't say it's on the internet. It IS the internet.

The training scripts are in Megatron and vLLM.


Weights are the source, training data is the compiler.


You got it the wrong way round. It's more akin to.

1. Training data is the source. 2. Training is compilation/compression. 3. Weights are the compiled source akin to optimized assembly.

However it's an imperfect analogy on so many levels. Nitpick away.


It's dataset [0] released under some source available license or OSI license, ie. open dataset or open source dataset.

[0] https://news.ycombinator.com/item?id=47758408


So is it open dataset or open source dataset?

Eg. it is no accident Creative Commons is using different terminology for non-software works.


"Open Source" is normally reserved for OSI approved licenses but there are many non-OSI approved, source available licenses as well.

For example gemma4 is released under Apache 2.0 license – and can be called open source dataset.

On the other hand ie. deepseek, while publicly available weights model, is not released under OSI approved license, they released it under their own "Deepseek License Aggreement" – ie. in general it's free to use as normal OSI license but has some restrictions, ie. military use is explicitly forbidden.


Did it correctly follow the instructions? Don't know my pokemon well enough.


Essentially yes (bottom got distorted), but Gemini uses Nano Banana Pro or Nano Banana 2 so it's not a surprising result. The image I linked uses the raw API.


Note that the styles are different; there are two digit images rendered in color.

Color charcoal drawings do exist, but it’s not what’s usually meant by “charcoal drawing”.


Plusul and Minun sit next to each other in the Pokedex, 311 and 312. There's two 307s.


> Create a 8x8 contiguous grid

It failed at the very first instruction


Surely someone will jailbreak it now that they've allowed hardware modification:

"2026-04-07 We've replaced the requirement that there be no replacements of the original hardware with a rule that no more than 2 components may be added to, or replace components on, the original circuit boards."


Has Apple done this? Trying to figure out a safe place to store photos in the cloud without having to self host.


Hear me out. Mergers and acquisitions that substantially lesson market competition can be blocked by governments, or even require approval in certain jurisdictions. https://en.wikipedia.org/wiki/Mergers_and_acquisitions

Maybe mergers or acquisitions that substantially impact security should require approval by marketplaces (industry governance), and notification and approval by even governments?


FTA: No merger challenged since January 2025. This means that dozens of mergers that would typically be anticompetitive bleed consumers for money (think vet and dentist rollups) will happen unchallenged.


At least global companies still have to deal with regulators in other countries.


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