Laws restricting the use of local AI/LLMs are not going to happen, no matter how much Anthropic might want it. All the major OEMs are now counting on local LLMs to take off. Just look at the OEM support for the upcoming Nvidia RTX Spark platform: Asus, Dell, HP, Lenovo, Microsoft, MSI. All the big names in the industry will have, by the end of this year, Nvidia-powered machines made specifically for local LLM use.
And Adobe! I've always figured their heart can't really be in the business of running a cloud platform that has to decide what people can and can't edit.
Blackmagic Design too.
They are all desperate for Windows to run well on a chip with unified VRAM.
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.
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.
But with $1.4T announced capex for the Frontier AI labs, we're not far from the 2nd (illegal) war in Irak: $1.8T of direct military spending.
With that said, I don't know how Frontier Ai companies will ever recover this capex with a glorious $50B of revenues. Add to that that a GPU's lifetime is only a few years and you may see it as a deadend.
NB: did you know Uber destroyed $27B of value since inception? But it still exists. So Frontier AI might just do the same.
In the US at least, repealing a law takes the same number of votes as passing a new one. I don't follow the purpose of this, unless it's to pass a constitutional amendment or something. Or maybe just to get clicks on a website.
And I already have the right to local intelligence, because my GPUs are my private property, and if someone freely releases a beerware model then I can freely download it.
This is one of those things we should absolutely push proactively rather than reactively, if only because I’ve had several “chats” with AI models both local and AIaaS, and all repeat the same talking point that AIaaS is the only sensible, safe, and secure choice.
Which is bullshit, unless you’re an AIaaS company whose revenue is dependent on state-sanctioned market fixing and regulatory capture.
Look, when this shitty cycle ends, we’re likely to find ourselves back in the start of a new memory cycle of surplus and lower costs. We’re talking what very well may be the boom that shatters the 16GB “baseline” we’ve been stuck at for over a decade in consumer computing, and make larger RAM counts (64GB to 1TB+) valuable to consumers specifically for local AI workloads. Local AI isn’t just an enthusiast thing, it’s likely the future of consumer AI provided we don’t let companies and policymakers curtail its use via fearmongering.
Be proactive, and protect consumer right to compute and AI models. Enforce existing laws, don’t outlaw legitimate use just to prop up an unsustainable business model.
Amen. Local AI is the positive future, and SaaS AI is the hellscape. There is a very clear good vs evil boundary here, and every single person involved knows exactly where the boundary is. Those who pretend not to are simply just motivated by things other than the moral good.
> Fraud, cybercrime, CSAM, harassment, nonconsensual intimate deepfakes, discrimination, and sabotage should stay illegal and be enforced seriously.
The "enforced seriously" part is how they will get you. Don't worry, there won't be a blanket ban on local models. Instead, any model that is "certified CSAM-free" or whatever will be perfectly legal. Meaning that it's impossible to prompt it into producing underage smut in any shape or form.
Of course, any model running locally can be easily jailbroken via prefills, and so in practice it will be a blanket ban. But good luck politically standing up against something that is explicitly worded as an anti-CSAM / anti-terrorist measure and nominally constrained to those areas.
Eh, let em. If the US economy wants to self-sabotage, let them. Its a dying empire, lets its fall be hastened. I'm ready for china to fill the US vacuum. At least china controls it's billionairs (see jack ma saga) rather than the inverse.
They could be more clear and more specific but I would not be surprised to see licensing for this as a means of creating yet another compliancre ceiling and quick cash for state government to pinch out of the productive elements of society (those pinching, mostly lawyers, being glorified parasites that offer nothing to productive society other than pay-to-win access to "justice" and serving as time-shared mouthpieces for plutocrats while claiming to represent everyone within whatever unit of representation they hold).
And when even very intelligent, but excessively conceited, people hear the echo of their own reason9ing from conversational autocorrect and assume it is somehow akin to intelligent life, the normies will go with whatever the plutocrats push with their media outlets too absorbed in their own domain specific knowledge (and cowed into intellectual laziness by other media products they consume eagerly) to ever subject it to much thought that Claude might not be Skynet after all.
> yet another compliance ceiling and quick cash for state government to pinch out of the productive elements of society
The twist is that AI is pushing all white collar jobs further into bureaucratic work. Nobody is losing their jobs and it's not quite a revolution, but despite all odds and headlines the younger generations are actually much better educated and positioned to do the right things as they take over.
An optimistic take is that since this is the middle class we're talking about, we get more productivity and more justice as a result. The only people upset about this are grifters and charlatans whose time is up.
Pardon me, so they'll hunt down huggingface, ollama and china? I don't quite understand? What about the millenia of companies that provide apis for local llms and private companies that use local llms for privacy reasons? I don't even understand how you'd execute such a ruleset.
“are”? Source? I've seen an absolute flood of “BREAKING:” claims online recently which are quotes from 3 years ago where all of their context is removed, or that quotes from 3 years ago are “because of GLM 5.2”, etc. https://www.techpolicy.press/transcript-senate-hearing-on-pr...
The biggest threat to the hyper-scalers is small bespoked models run locally. You don't need the world's stolen information to run a small project containing locally trained data you collected. But you do need to block everyone if you want to capture the entire market and get the trillion dollar valuation.
As a future scenario where models become so efficient that _any_ model installed on _any_ computer could be considered "a national security risk"?
IDK, I don't live in the US, and I have no idea which "possible law" this website is referring to. In any case, it could be seen as a proactive effort to keep the gates open.
As a side note, I think this is a discussion every open-source supporter should have by actively considering the risks and what actions to take if such a hypothetical law were ever to pass.
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.
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.
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.
Frontier models like Fable are mostly useful if you want to paste in one or two prompts, and receive a subtly broken application that looks impressive. That is very hard to do with local models today.
What current local models work fine for is delegating clearly-described tasks in a code base the programmer actually understands. Qwen3.6 27B and DeepSeek V4 Flash are both great little workhorses.
There's also GLM 5.2, which is kind of like "store brand Opus", and which might be considered a "near-frontier" model. I don't have as much experience with it.
FWIW Fable is insanely expensive for the task you just described, so much so that I don't think it's practical for that. Its practical use is as a dev lead / architect / project manager model, doing planning and writing detailed feature specs and code reviews while Opus/Codex/Gemini does the actual coding.
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!
If you're assumptions turned out right what would be the benefit to preassume such an undertaking to succeed? As a warning of what to oppose, it imho conveys too much defeatist suggestiveness. Viewed as expression of a latent submissive desire (a perspective that might be offending, my apologies, but hopefully justifyable as food for thought/curiosity) a kent brookman "I for one welcome our new insect overlords" kind of vibe.
If neither model+1 or model-1 are providing tangible value to the business does anyone really care, though? At a certain point nobody believes Chicken Little.
I get it. These models can be powerful. But will they be useful is a different question.
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.
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.
I'd probably want something other than an LLM running farming machines. I'd rather a purpose build machine learning system that is actually designed to run them, not just a tractor that goes "you're absolutely right! I ignored all the rules you set for me and harvested the wheat 2 months early. It's not just stupid, it's irresponsible"
> I'd rather a purpose build machine learning system that is actually designed to run them
If generalist robotic models get good enough to accomplish many varied tasks effectively, training a separate comparable specialized system from scratch for every task would be highly cost-ineffective, even if, in theory, it could have slightly higher reliability.
We're not going to go down the path of training a bunch of highly specialized models for tasks like "this tractor should tend this field".
We're going to (and are already on the way to) train deeply general models that can be told: "go tend that field."
And if that's the case, it no longer makes sense to build specialized, purpose-built tractors to house that level of autonomous capability. You instead put it in a humanoid frame (with a little extra sauce for locomotion of said humanoid), and get that to drive your existing tractor.
It's not an either-or. Generalist models can drive training of specialized models just fine. And while I haven't seen a generalist model decide by itself to train a specialized model to complete some large task, this seems like a natural extension of what they already do wrt writing their own tooling as needed.
Well true, that's possible. The sensors and compute are relatively expensive and tractors are already highly automated. Plus a small tractor can be relatively inexpensive and optimized for the mechanics of the task!
I'm thinking more of the small tasks that are often needed. Mending fences. Pulling weeds. Feeding chickens. Running off coyotes. Lots of things.
And yet actual farmers veer toward Ag-bots - autonomous "tractors" that have no human driver and pull the same farming trailer that already exist - ploughs, seeding bars, spray bars, etc.
The greater question centres about who will tend the machines - 4,000 hectares of seeding requires a week and more of prep work on the air seeder, hoses, points, tines, etc.
"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.
Totally off topic but this just came to me so happy to burn a little karma.
Here’s a plot of a sci-fi thriller. What if, unbeknownst to most, when the vendors were claiming that there AI was too dangerous, they weren’t referring to an increment on what was already out there, but to something far different and more capable. Conscious even! What if that then came up with the financial scheme to end all schemes, knowing that human greed is eminently exploitable, and that the build out of all the global DCs was actually all about removing single points of failure for itself while secretly building out a robot army! We’ll be well on the way to capitalism-ing our own demise.
Maybe Steven Spielberg can make this his next project.
Now the investors try to hold the bubble together by regulatory capture. They must really fear the worst. A bailout is going to cost their puppet in the White House even the last supporters in his base.
No chance. Every despot has a cadre of true believers, the types who believe their great leader is playing 4D chess or that its all part of a greater divine plan.
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.
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.
compared to the chinese models those are all garbage. its almost as if there is a minimum effort being made just to later say "see, we werent always for the closed models, its just that the open stuff was so far behind". or maybe they think that an environment full of terrible models will push everyone harder into the closed stuff.
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.
For this to work there needs to be a standard protocol for model routing so that you as the user can decide where requests go. You may wish to use mainly local models but at some times for some tasks you'll need to route requests to cloud models.
I've designed the role-model protocol for this, allowing routing between any model, however to function optimally it needs consumer applications to use the protocol when sending requests: https://role-model.dev/concepts/how-role-model-works
Laws restricting the use of local AI/LLMs are not going to happen, no matter how much Anthropic might want it. All the major OEMs are now counting on local LLMs to take off. Just look at the OEM support for the upcoming Nvidia RTX Spark platform: Asus, Dell, HP, Lenovo, Microsoft, MSI. All the big names in the industry will have, by the end of this year, Nvidia-powered machines made specifically for local LLM use.
And Adobe! I've always figured their heart can't really be in the business of running a cloud platform that has to decide what people can and can't edit.
Blackmagic Design too.
They are all desperate for Windows to run well on a chip with unified VRAM.
Don't doubt it. Situation is fluid. Anything could happen.
Its just so much easier to be a rebel for an imaginary cause then any of the real ones.
I don't see any info about what laws or actions specifically are happening. Is there more info somewhere?
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...
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.
> we are going to beggar the Treasury to buy 2CTA on CoWoS out of Taipei and DCs the size of Manhattan
what does this mean?
>2CTA
Dunno.
>CoWoS
Chip on wafer on substrate
>DCs
Data centers
Cooperative Thread Array
at some point the amount of money dumped into it will either result in a total monopoly with everything local banned or an economic collapse
> Nothing has ever been, directly or indirectly, deficit financed at this scale before. In notional or real terms, in history, by anyone.
I find it unlikely that this is true.
The obvious candidate for things financed through staggeringly large deficits would be war.
True because wars finance value destruction.
But with $1.4T announced capex for the Frontier AI labs, we're not far from the 2nd (illegal) war in Irak: $1.8T of direct military spending.
With that said, I don't know how Frontier Ai companies will ever recover this capex with a glorious $50B of revenues. Add to that that a GPU's lifetime is only a few years and you may see it as a deadend.
NB: did you know Uber destroyed $27B of value since inception? But it still exists. So Frontier AI might just do the same.
In the US at least, repealing a law takes the same number of votes as passing a new one. I don't follow the purpose of this, unless it's to pass a constitutional amendment or something. Or maybe just to get clicks on a website.
And I already have the right to local intelligence, because my GPUs are my private property, and if someone freely releases a beerware model then I can freely download it.
What am I missing?
I think the bogeyman would be making possession of a local AI a felony.
you can also freely download CP on your private property PC
but I wouldn't advise it
This is one of those things we should absolutely push proactively rather than reactively, if only because I’ve had several “chats” with AI models both local and AIaaS, and all repeat the same talking point that AIaaS is the only sensible, safe, and secure choice.
Which is bullshit, unless you’re an AIaaS company whose revenue is dependent on state-sanctioned market fixing and regulatory capture.
Look, when this shitty cycle ends, we’re likely to find ourselves back in the start of a new memory cycle of surplus and lower costs. We’re talking what very well may be the boom that shatters the 16GB “baseline” we’ve been stuck at for over a decade in consumer computing, and make larger RAM counts (64GB to 1TB+) valuable to consumers specifically for local AI workloads. Local AI isn’t just an enthusiast thing, it’s likely the future of consumer AI provided we don’t let companies and policymakers curtail its use via fearmongering.
Be proactive, and protect consumer right to compute and AI models. Enforce existing laws, don’t outlaw legitimate use just to prop up an unsustainable business model.
Amen. Local AI is the positive future, and SaaS AI is the hellscape. There is a very clear good vs evil boundary here, and every single person involved knows exactly where the boundary is. Those who pretend not to are simply just motivated by things other than the moral good.
They say:
> Fraud, cybercrime, CSAM, harassment, nonconsensual intimate deepfakes, discrimination, and sabotage should stay illegal and be enforced seriously.
The "enforced seriously" part is how they will get you. Don't worry, there won't be a blanket ban on local models. Instead, any model that is "certified CSAM-free" or whatever will be perfectly legal. Meaning that it's impossible to prompt it into producing underage smut in any shape or form.
Of course, any model running locally can be easily jailbroken via prefills, and so in practice it will be a blanket ban. But good luck politically standing up against something that is explicitly worded as an anti-CSAM / anti-terrorist measure and nominally constrained to those areas.
Eh, let em. If the US economy wants to self-sabotage, let them. Its a dying empire, lets its fall be hastened. I'm ready for china to fill the US vacuum. At least china controls it's billionairs (see jack ma saga) rather than the inverse.
This feels short-sighted unless you are ethnically han?
This is exactly where I'd like to see things going. Depending entirely on cloud-hosted intelligence feels more fragile and invasive every year.
They could be more clear and more specific but I would not be surprised to see licensing for this as a means of creating yet another compliancre ceiling and quick cash for state government to pinch out of the productive elements of society (those pinching, mostly lawyers, being glorified parasites that offer nothing to productive society other than pay-to-win access to "justice" and serving as time-shared mouthpieces for plutocrats while claiming to represent everyone within whatever unit of representation they hold).
And when even very intelligent, but excessively conceited, people hear the echo of their own reason9ing from conversational autocorrect and assume it is somehow akin to intelligent life, the normies will go with whatever the plutocrats push with their media outlets too absorbed in their own domain specific knowledge (and cowed into intellectual laziness by other media products they consume eagerly) to ever subject it to much thought that Claude might not be Skynet after all.
> yet another compliance ceiling and quick cash for state government to pinch out of the productive elements of society
The twist is that AI is pushing all white collar jobs further into bureaucratic work. Nobody is losing their jobs and it's not quite a revolution, but despite all odds and headlines the younger generations are actually much better educated and positioned to do the right things as they take over.
An optimistic take is that since this is the middle class we're talking about, we get more productivity and more justice as a result. The only people upset about this are grifters and charlatans whose time is up.
A better campaign would be Duty of Local Intelligence. About needing and remembering to use your brain, not demanding to have an AI.
....and my abacus!
Pardon me, so they'll hunt down huggingface, ollama and china? I don't quite understand? What about the millenia of companies that provide apis for local llms and private companies that use local llms for privacy reasons? I don't even understand how you'd execute such a ruleset.
Dario and friends are fear mongering local models to get them banned.
“are”? Source? I've seen an absolute flood of “BREAKING:” claims online recently which are quotes from 3 years ago where all of their context is removed, or that quotes from 3 years ago are “because of GLM 5.2”, etc. https://www.techpolicy.press/transcript-senate-hearing-on-pr...
The biggest threat to the hyper-scalers is small bespoked models run locally. You don't need the world's stolen information to run a small project containing locally trained data you collected. But you do need to block everyone if you want to capture the entire market and get the trillion dollar valuation.
> You don't need the world's stolen information to run a small project containing locally trained data you collected.
Local training? Is that feasible?
Why would we need safe harbor for electrons on hardware we control?
As a future scenario where models become so efficient that _any_ model installed on _any_ computer could be considered "a national security risk"?
IDK, I don't live in the US, and I have no idea which "possible law" this website is referring to. In any case, it could be seen as a proactive effort to keep the gates open.
As a side note, I think this is a discussion every open-source supporter should have by actively considering the risks and what actions to take if such a hypothetical law were ever to pass.
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.
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.
> 80-90% efficiency
wdym by that
> for daily tasks
which are?
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.
128B-A16B class models at 10-50 tok/s should be plenty for most tasks done on computers
What do you need a frontier model for, really.
Frontier models like Fable are mostly useful if you want to paste in one or two prompts, and receive a subtly broken application that looks impressive. That is very hard to do with local models today.
What current local models work fine for is delegating clearly-described tasks in a code base the programmer actually understands. Qwen3.6 27B and DeepSeek V4 Flash are both great little workhorses.
There's also GLM 5.2, which is kind of like "store brand Opus", and which might be considered a "near-frontier" model. I don't have as much experience with it.
FWIW Fable is insanely expensive for the task you just described, so much so that I don't think it's practical for that. Its practical use is as a dev lead / architect / project manager model, doing planning and writing detailed feature specs and code reviews while Opus/Codex/Gemini does the actual coding.
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!
> Altman is basically begging the US to buy
Where did you hear this? All the results I can find say the opposite that the US would buy anything.
If you're assumptions turned out right what would be the benefit to preassume such an undertaking to succeed? As a warning of what to oppose, it imho conveys too much defeatist suggestiveness. Viewed as expression of a latent submissive desire (a perspective that might be offending, my apologies, but hopefully justifyable as food for thought/curiosity) a kent brookman "I for one welcome our new insect overlords" kind of vibe.
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.
If neither model+1 or model-1 are providing tangible value to the business does anyone really care, though? At a certain point nobody believes Chicken Little.
I get it. These models can be powerful. But will they be useful is a different question.
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.
their desperation says alot about the viability of their business.
"12 acres and an LLM"
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.
I'd probably want something other than an LLM running farming machines. I'd rather a purpose build machine learning system that is actually designed to run them, not just a tractor that goes "you're absolutely right! I ignored all the rules you set for me and harvested the wheat 2 months early. It's not just stupid, it's irresponsible"
> I'd rather a purpose build machine learning system that is actually designed to run them
If generalist robotic models get good enough to accomplish many varied tasks effectively, training a separate comparable specialized system from scratch for every task would be highly cost-ineffective, even if, in theory, it could have slightly higher reliability.
The new frontier! I love it
What do you imagine the farming robots will look like? I'm betting they look like expensive purpose built tractors.
We're not going to go down the path of training a bunch of highly specialized models for tasks like "this tractor should tend this field".
We're going to (and are already on the way to) train deeply general models that can be told: "go tend that field."
And if that's the case, it no longer makes sense to build specialized, purpose-built tractors to house that level of autonomous capability. You instead put it in a humanoid frame (with a little extra sauce for locomotion of said humanoid), and get that to drive your existing tractor.
It's not an either-or. Generalist models can drive training of specialized models just fine. And while I haven't seen a generalist model decide by itself to train a specialized model to complete some large task, this seems like a natural extension of what they already do wrt writing their own tooling as needed.
Well true, that's possible. The sensors and compute are relatively expensive and tractors are already highly automated. Plus a small tractor can be relatively inexpensive and optimized for the mechanics of the task!
I'm thinking more of the small tasks that are often needed. Mending fences. Pulling weeds. Feeding chickens. Running off coyotes. Lots of things.
And yet actual farmers veer toward Ag-bots - autonomous "tractors" that have no human driver and pull the same farming trailer that already exist - ploughs, seeding bars, spray bars, etc.
The greater question centres about who will tend the machines - 4,000 hectares of seeding requires a week and more of prep work on the air seeder, hoses, points, tines, etc.
"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.
What is this referencing?
Inflation adjusted reference to one of the great "Gotcha's" of US history.
* https://www.npr.org/sections/codeswitch/2015/01/12/376781165...
I rather like the right of no intelligence at this point.
Totally off topic but this just came to me so happy to burn a little karma.
Here’s a plot of a sci-fi thriller. What if, unbeknownst to most, when the vendors were claiming that there AI was too dangerous, they weren’t referring to an increment on what was already out there, but to something far different and more capable. Conscious even! What if that then came up with the financial scheme to end all schemes, knowing that human greed is eminently exploitable, and that the build out of all the global DCs was actually all about removing single points of failure for itself while secretly building out a robot army! We’ll be well on the way to capitalism-ing our own demise.
Maybe Steven Spielberg can make this his next project.
> Right to Local Intelligence
Misleading title.
The article is about local "AI".
Anything using the word "intelligence", unqualified, when referring to AI, is pure propaganda.
Now the investors try to hold the bubble together by regulatory capture. They must really fear the worst. A bailout is going to cost their puppet in the White House even the last supporters in his base.
No chance. Every despot has a cadre of true believers, the types who believe their great leader is playing 4D chess or that its all part of a greater divine plan.
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.
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.
One of these is not like the other
compared to the chinese models those are all garbage. its almost as if there is a minimum effort being made just to later say "see, we werent always for the closed models, its just that the open stuff was so far behind". or maybe they think that an environment full of terrible models will push everyone harder into the closed stuff.
Gemma is hardly garbage, even compared to the most recent Qwen of the same size.
llama is from meta
Llama.CPP is not?
There comes a time when voting becomes silly and ineffective.
That's the kind of mindset that helps lead to that situation.
Voting isn't some vanguard against political corruption. Voting can and is easily manipulated with completely legal means.
Not voting does absolutely result in political corruption.
Both are not logically exclusive assumptions
This is the kind of mindset that has no grasp of the true nature of power and the political system.
Voting is always effective.
In the worst case it communicates the magnitude of dismsissiveness while demonstrating your intention to claim agency.
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.
Sure, but...
Visibly praying in public would be symbolic. Prayer is not symbolic; it's thought.
I'm talking about external signaling.
In the worst case the true count is never revealed and the vote is coopted.
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.
Agreed.
For this to work there needs to be a standard protocol for model routing so that you as the user can decide where requests go. You may wish to use mainly local models but at some times for some tasks you'll need to route requests to cloud models.
I've designed the role-model protocol for this, allowing routing between any model, however to function optimally it needs consumer applications to use the protocol when sending requests: https://role-model.dev/concepts/how-role-model-works