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55% Positive

Analyzed from 708 words in the discussion.

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#open#voting#source#models#local#years#tasks#might#going#openai

Discussion (21 Comments)Read Original on HackerNews

Catloafdev•about 3 hours ago
I don't see any info about what laws or actions specifically are happening. Is there more info somewhere?
mlinksva•about 2 hours ago
I can't tell from the site or the linked twitter handles. Their core ask for every state seems to be "Please support clear safe-harbor language for lawful local AI ownership, research, model modification, open-source publication, and local execution" rather than stopping or amending any specific bill/law.

One they _could_ be referring to is the California AI Transparency Act which isn't compatible with open source licensing, see https://github.blog/news-insights/policy-news-and-insights/g...

reinitctxoffset•35 minutes ago
It might just mean "please oppose the inevitable attempts to privatize AI governance".

Nothing has ever been, directly or indirectly, deficit financed at this scale before. In notional or real terms, in history, by anyone.

Now maybe there's an argument that it's a good investment: we are going to beggar the Treasury to buy 2CTA on CoWoS out of Taipei and DCs the size of Manhattan. I personally think we could have done a little more engineering before deciding that the big blind was like, 5 trillion all counted, but it was going to be expensive no matter what.

What super weird is that we're running a project where the "penny" to the "dollar" is the Manhattan Project, and a couple of super weird dudes who do MDMA at Lighthaven now and again are like, in charge of it.

nekusar•about 3 hours ago
Llama, ik-Llama, Krasis, etc are already out.

The Chinese are the open ones, with free downloads, open weights, and loads of published research. The USA with OpenAI is some of the most closed shit out there.

tjwebbnorfolk•13 minutes ago
There's gpt-oss from OpenAI, gemma from Google, phi from Microsoft, granite from IBM, nemotron from NVIDIA, Ornith from DeepReinforce, Olmo from the Allen Institute.

Aside from that you're 100% correct.

DoctorOetker•about 2 hours ago
"12 acres and an LLM"
elcritch•41 minutes ago
Mock it we might now, but 12 acres and (not too distant future) open weights AI models capable of driving open source robots for farm labor would be huge.

No need for huge expensive purpose built tractors. Even if they’re slow you could have half a dozen running 24/7.

It could provide independence for anyone with a modicum of resources.

kajman•about 2 hours ago
"I am eighteen years old, have a good set of passkeys, and believe in Sam Altman, the star-spangled banner, and the fourth of July. I have taken up a BLM lot, cleared up eighteen acres last year, and placed top of it a bitcoin mine. My vibe coded drop-shipping startup looks first-rate, and the conversion rate and total addressable market are bully.
SilverElfin•about 3 hours ago
Given the state of corruption in politics, I think Anthropic and OpenAI will likely bribe … oh wait I mean “lobby” … for bans on open source. Otherwise their imaginary trillion dollar valuations make no sense.
stanislavb•about 2 hours ago
This. They can see their valuations slipping. They hope that in a few/several years they will start reaping profits. However, in several years local hardware will be well suited to run models locally at 80-90% efficiency - for "free". You won't need frontier models for daily tasks in a few years. I'd guess.
anuramat•about 2 hours ago
> 80-90% efficiency

wdym by that

> for daily tasks

which are?

numpad0•14 minutes ago
128B-A16B class models at 10-50 tok/s should be plenty for most tasks done on computers
glenpierce•about 1 hour ago
You get about 80-90% of the results for daily tasks like: getting summaries or explanations of complex material. Writing software tools for data analysis. Getting recipes for a given set of ingredients in the fridge.
windexh8er•about 2 hours ago
They already are. Altman is basically begging the US to buy into OAI, that's just the start. Both OAI and Anthropic are going to have to go down this path or their financials will never work out. Open local models are where the enterprise will need to go for any of this to be cost feasible, but we can almost guarantee this will be a battle nobody using AI will have asked for. You can thank Dario and Sam for the dystopian future that will pad their bottom line!
dominotw•43 minutes ago
there will always be higher valuation for company inventing model+1 . no one wants to use latest_model -1 when their competiton is using latest_model.
byzantinegene•about 2 hours ago
their desperation says alot about the viability of their business.
yogthos•35 minutes ago
This whole situation is very reminiscent of how Microsoft was trying to get Linux and open source banned when NT started losing market share on the server.
vjulian•about 3 hours ago
There comes a time when voting becomes silly and ineffective.
jjice•about 2 hours ago
That's the kind of mindset that helps lead to that situation.
operatingthetan•8 minutes ago
Voting isn't some vanguard against political corruption. Voting can and is easily manipulated with completely legal means.
colordrops•about 2 hours ago
This is the kind of mindset that has no grasp of the true nature of power and the political system.
RobLach•about 1 hour ago
Voting is always effective.

In the worst case it communicates the magnitude of dismsissiveness while demonstrating your intention to claim agency.

vjulian•about 1 hour ago
In the worst case it generates symbolism; that is ultimately what you’re saying.

That symbolism is akin to prayer.

I am not casting prayer in a negative light, I’m simply categorising your voting concept.

RobLach•9 minutes ago
Sure, but...

Visibly praying in public would be symbolic. Prayer is not symbolic; it's thought.

I'm talking about external signaling.

yogthos•37 minutes ago
Ah yes, voting is always effective. Thank goodness people in Germany kept voting in the early 1930s. Imagine what terrible things might have happened if they hadn't.
RobLach•9 minutes ago
Agreed.