pu_pe

6 ms·

91.
by pu_pe 5mo ago
148 mentions of "rocket". 773 mentions of " AI ".
92.
by pu_pe 5mo ago
> And most importantly, you don't care at all if the tool you vibe-coded is any good. If you write at tool that converts an image to black & white, you are the kind of person who doesn't know or care what KIND of black&
93.
by pu_pe 5mo ago
> There are levels in this work. Level 1 is the typing. Syntax, semicolons, the years memorizing pointer arithmetic and which header file the function lives in. Level 2 is the verifying. The harness. The test suite. The reflex of rejecti
94.
by pu_pe 5mo ago
Mistral's claim to European sovereignty is somewhat weak, because: - They are partially owned by American companies - They run their infra on American providers (AWS especially) - Their models are a distillation and therefore dependent
95.
by pu_pe 5mo ago
> uses 98% fewer tokens than grep So are we supposed to believe that grep is so wasteful that models are reading 98% useless garbage every time they call it? Either this claim is not representative, or you're missing something else
96.
by pu_pe 5mo ago
Some organizations added a ton of process around software development because it is expensive and risky. They require a ton of approvals and sign-offs, then some managing overhead on top to check if their investment is on the right track. T
97.
by pu_pe 5mo ago
In theory it should, but I've seen that language describing Azure "sovereign cloud" servers before. The data might indeed be stored in the UK, the problem is the CLOUD act which supersedes it.
98.
by pu_pe 5mo ago
The problem is if those GPUs are running on an AWS server (or any other American provider), even if it the server is in the UK the sovereignty claim is null and void.
99.
by pu_pe 5mo ago
Risks: Changing parameters on the insulin pump because the LLM said so Neglecting to seek actual medical advice believing a LLM replaces it Misunderstanding medical complexity (ie a prescription due to medical history not available to the L
100.
by pu_pe 5mo ago
Yes it does. You will not be able to run models like DeepSeek v4 (>1.5 trillion parameters) on a regular workstation any time soon, unless by "slow" you mean "unusable". And those are the models that are ~6 months beh
101.
by pu_pe 5mo ago
There is "local AI" which is running on consumer grade hardware and "local AI" which still needs a datacenter (DeepSeek 4, GLM 4.7, etc). If you woke up tomorrow and could only use the latter you are about 6 months behin
102.
by pu_pe 5mo ago
The direction we are going suggests AI will also be used for marketing, sales, customer support and product vision. Besides, if the difference between Opus and DeepSeek 4 is so small and imperceptible, you are missing the opportunity to lau
103.
by pu_pe 5mo ago
UK Government Kicks Out Palantir* *in one specific contract
104.
by pu_pe 5mo ago
There are two problems with that scenario: 1. Your European startup will be competing with others using a much better frontier model. In a scenario where you already have other major disadvantages (access to capital, labor), you might be ou
105.
by pu_pe 5mo ago
The more fundamental bottleneck is not even the frontier models, it's the datacenters. Let's say Europe breaks apart from the US completely tomorrow. It does not have enough datacenters (or GPUs in general) to sustain its inferenc
106.
by pu_pe 5mo ago
It says it's running on Swedish infrastructure - what is that? A private datacenter or an Azure server in Stockholm?
107.
by pu_pe 5mo ago
I'm not sure the direction should be to finetune a small local model for each country or language. These models are already not particularly great at information retrieval, so I doubt anyone would use them for questions like the author
108.
by pu_pe 5mo ago
Sometimes code is definitely the bottleneck. For example some organizations have a very bureaucratic process guarding which projects get access to a development team and when. That's not needed if implementation is now faster/chea
109.
by pu_pe 5mo ago
So much faster inference with no quality degradation? All that for just some small memory overhead (drafter models are <1B it seems)?
110.
by pu_pe 5mo ago
I don't think this way because I like to collaborate. If a colleague can benefit from a tool I made I'm proud to save them time. I also think your attitude doesn't pass the golden rule: would you like to work on a team full o
111.
by pu_pe 5mo ago
Why do you attribute to capitalism an issue that is much more fundamental than it? People want more stuff and better lives, it's as simple as that. Even hunger/gatherer societies brought themselves to extinction multiple times in
112.
by pu_pe 5mo ago
No need for unlimited growth, just normal sustainable progress like the one that allows you and me to communicate here after centuries of technological progress.
113.
by pu_pe 5mo ago
Some parts of the anti-AI movement are becoming so unhinged that now any use of compute is considered an environmental threat. This degrowth mentality needs to die.
114.
by pu_pe 6mo ago
> The NHS launders money the indebted government doesn’t have into terrible health outcomes. This feels like a benefit because it conceals from patients the true cost of their care, while its shortcomings relative to other countries are
115.
by pu_pe 6mo ago
So now the discussion is not about whether base load is a thing or not, it is that you firmly believe that batteries are the answer to everything. First it should be said that this thread is primarily about decomissioning existing nuclear p
116.
by pu_pe 6mo ago
What happens in days where renewables can't produce enough energy? Or the evenings where we don't have enough batteries (all evenings so far and for the next decade at least)? You can call it base load or whatever you want, but th
117.
by pu_pe 6mo ago
> The bottleneck in the AI era is not production. It is discernment. > The right question to ask after a vibe-coded prototype fails is not what did the AI do wrong. It is what did our process miss. > That is a governance story, not
118.
by pu_pe 6mo ago
The regulatory concerns are worldwide: the GDPR has restrictions about the territorial location of data, so you cannot move data anywhere else other than EU or "adequate" countries (in practice, the US). Since the real gold is in
119.
by pu_pe 6mo ago
Mistral has a very difficult scenario to navigate. Training models in Europe is difficult and expensive because of regulations and energy prices. Their own open models are lagging behind the Chinese ones. That means eventually they will tur
120.
by pu_pe 6mo ago
The US single-handedly dominating AI at this point probably means a handful of tech overlords in charge of a surveillance society which depends on AI for everything, with some vague promises that everyone else will get some sort of allowanc

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