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...
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.
what does this mean?
* chinese models without safety filters (it could be used to create software exploits)
* AI companion local models (waifus), similar apps are already censored on app stores
* voice and image creation models without safeguards, it could be used to create "revenge porn". Distribution of such models and customizations is already censored
* power hungry energy devices, some may argue you should not be allowed to run "unlicensed datacenter". EU already banned 8k TVs for using too much energy, some places are banning air conditioning
No EU country has banned air conditioning either.
Where are you getting this information?
UK already removes existing air con units: https://www.telegraph.co.uk/money/consumer-affairs/air-condi...
There is discussion in France today about aircon (you are far right if you want aircon). Aircon units were also banned in olympic village in Paris.
Source: I live there
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.
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?
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.
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.
wdym by that
> for daily tasks
which are?
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.
I get it. These models can be powerful. But will they be useful is a different question.
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.
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.
I'm thinking more of the small tasks that are often needed. Mending fences. Pulling weeds. Feeding chickens. Running off coyotes. Lots of things.
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.
* https://www.npr.org/sections/codeswitch/2015/01/12/376781165...
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.
Aside from that you're 100% correct.
In the worst case it communicates the magnitude of dismsissiveness while demonstrating your intention to claim agency.
That symbolism is akin to prayer.
I am not casting prayer in a negative light, I’m simply categorising your voting concept.
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