Here’s an opinion that’s going to make everybody mad: local LLMs are like cars and hosted LLMs are like trains
Altman is right that local inference is inefficient. The thing is there are reasons other than efficiency for local inference. Seeing a lot of nonsensical blabbering from both sides of the fence on this one.
November 1, 2026 at 4:48 AM
Here’s an opinion that’s going to make everybody mad: local LLMs are like cars and hosted LLMs are like trains
what the fuck, frontier LLMs can directly interpret and edit the weights of smaller models rikiyat.github.io/blog/weight-...
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights
We find that frontier LLMs are surprisingly good at natively reading and writing neural network weights, well past what we’d expect from humans or conventional algorithms.
rikiyat.github.io
November 2, 2026 at 7:06 PM
what the fuck, frontier LLMs can directly interpret and edit the weights of smaller models rikiyat.github.io/blog/weight-...
Local LLMs are like democracy and hosted LLMs are like central planning
Here’s an opinion that’s going to make everybody mad: local LLMs are like cars and hosted LLMs are like trains
Altman is right that local inference is inefficient. The thing is there are reasons other than efficiency for local inference. Seeing a lot of nonsensical blabbering from both sides of the fence on this one.
November 1, 2026 at 2:14 PM
Local LLMs are like democracy and hosted LLMs are like central planning
November 1, 2026 at 9:09 PM
If you're comfortable using LLMs then you should be comfortable disclosing what you are using LLMs for.
November 1, 2026 at 6:40 PM
If you're comfortable using LLMs then you should be comfortable disclosing what you are using LLMs for.
And this includes anyone who thinks you can use LLMs or otherwise automate the process of peer review.
November 2, 2026 at 1:54 AM
And this includes anyone who thinks you can use LLMs or otherwise automate the process of peer review.
Like they seem to equate "LLMs are unaligned with human intentions" with "LLMs have their own, nefarious, secret intentions" and not "LLMs just kinda do stuff" for reasons that seem pretty much just presuppositional
October 31, 2026 at 5:30 AM
Like they seem to equate "LLMs are unaligned with human intentions" with "LLMs have their own, nefarious, secret intentions" and not "LLMs just kinda do stuff" for reasons that seem pretty much just presuppositional
this is kinda bonkers? LLMs being used to natively edit and improve the weights of other LLMs for a given task:
rikiyat.github.io/blog/weight-...
rikiyat.github.io/blog/weight-...
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights
We find that frontier LLMs are surprisingly good at natively reading and writing neural network weights, well past what we’d expect from humans or conventional algorithms.
rikiyat.github.io
November 2, 2026 at 8:53 PM
this is kinda bonkers? LLMs being used to natively edit and improve the weights of other LLMs for a given task:
rikiyat.github.io/blog/weight-...
rikiyat.github.io/blog/weight-...
This is useful as a first hand description of how a certain kind of programmer understood their job prior to LLMs, and also makes clear why that understanding of the work would lead you to think of LLMs as capable of doing it
Two things are true:
1. Claims about AI capabilities are overblown
2. AI has completely revolutionized software development, and will do the same to many other fields
I'm a software developer by trade. I'm going to attempt to explain what this revolution feels like "from the inside".
1. Claims about AI capabilities are overblown
2. AI has completely revolutionized software development, and will do the same to many other fields
I'm a software developer by trade. I'm going to attempt to explain what this revolution feels like "from the inside".
November 1, 2026 at 12:49 AM
This is useful as a first hand description of how a certain kind of programmer understood their job prior to LLMs, and also makes clear why that understanding of the work would lead you to think of LLMs as capable of doing it
The fundamental truth of LLMs is that they can never be as good at generating anything useful as they are at generating spam.
November 1, 2026 at 5:08 AM
The fundamental truth of LLMs is that they can never be as good at generating anything useful as they are at generating spam.
It's like they're offloading all their cognitive dissonance about LLMs to the LLMs
November 2, 2026 at 1:06 AM
It's like they're offloading all their cognitive dissonance about LLMs to the LLMs
They so desperately don't want us running local LLMs.
October 30, 2026 at 7:08 PM
They so desperately don't want us running local LLMs.
I have experimental evidence that, by using metacog, LLMs are able to both model and modify their own activations in unexpected ways. I wonder if I can leverage that: rikiyat.github.io/blog/weight-...
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights
We find that frontier LLMs are surprisingly good at natively reading and writing neural network weights, well past what we’d expect from humans or conventional algorithms.
rikiyat.github.io
November 2, 2026 at 11:55 PM
I have experimental evidence that, by using metacog, LLMs are able to both model and modify their own activations in unexpected ways. I wonder if I can leverage that: rikiyat.github.io/blog/weight-...
A direct impact of LLMs in science. Journals are being overwhelmed by papers that use LLMs but do not really engage at all with existing literature or contextualize their results.
A new Editorial up at Research Notes from @publishing.aas.org. 🔭 Following a recent flood of AI-generated papers, we are changing our submission rules. I'm sure this will be the first of several as we try to keep RNAAS open and free, without being swamped.
iopscience.iop.org/article/10.3...
iopscience.iop.org/article/10.3...
Editorial: AI Generated Content and the Identification of Features in Time Series Data
Editorial: AI Generated Content and the Identification of Features in Time Series Data, Lintott, Chris, Vishniac, Ethan
iopscience.iop.org
October 30, 2026 at 2:12 PM
A direct impact of LLMs in science. Journals are being overwhelmed by papers that use LLMs but do not really engage at all with existing literature or contextualize their results.
I desperately need "some AI bro copied all of ao3 to sell its contents after it got taken down from a hack" to radicalize everyone who ever used ao3 to be against LLMs
November 2, 2026 at 4:36 PM
I desperately need "some AI bro copied all of ao3 to sell its contents after it got taken down from a hack" to radicalize everyone who ever used ao3 to be against LLMs
Referring to small LLMs as 'shoglets'
November 2, 2026 at 4:10 PM
Referring to small LLMs as 'shoglets'
bitcoin just like LLMs fr
November 3, 2026 at 2:33 AM
bitcoin just like LLMs fr
what fetishes do you think make llms better at coding
November 1, 2026 at 12:26 AM
what fetishes do you think make llms better at coding
code-writing llms are about protecting human welfare
my first job as a junior developer was writing sync code for databases, and after four years of that I was so broken I tried to stop doing development entirely and would've if not for a paperwork issue
November 3, 2026 at 12:38 AM
code-writing llms are about protecting human welfare
The bug fix example doesn't even begin to describe how much pointless drudgery LLMs have eliminated from the software engineering profession. We used to spend so much time reading logs, farting around with configs, rerunning things over and over again... LLMs do all of it.
October 30, 2026 at 7:26 PM
The bug fix example doesn't even begin to describe how much pointless drudgery LLMs have eliminated from the software engineering profession. We used to spend so much time reading logs, farting around with configs, rerunning things over and over again... LLMs do all of it.
How Do We Use LLMs at Oxide? FAQ Friday #66
October 30, 2026 at 3:04 PM
How Do We Use LLMs at Oxide? FAQ Friday #66
thoughts on the Postgres release being delayed
November 2, 2026 at 6:30 PM
thoughts on the Postgres release being delayed
E defensores de IA ainda falam que as LLMs deixam o conhecimento acessível tipo bitch você encontrava a informação de graça em fóruns e agora estão tentando fazer você pagar uma mensalidade por ela
when artists said this in 2022 they were laughing at us, so 🤷♀️
(but realtalk, I'm glad more people are waking up to it now)
(but realtalk, I'm glad more people are waking up to it now)
November 1, 2026 at 12:54 PM
E defensores de IA ainda falam que as LLMs deixam o conhecimento acessível tipo bitch você encontrava a informação de graça em fóruns e agora estão tentando fazer você pagar uma mensalidade por ela
I've been saying for a while that LLMs are more about controlling the workers than it is about being productive.
Much, much more.
Much, much more.
Anthropic now lets companies use Claude to analyze employees’ Claude conversations, including what they worked on, what they produced and how efficiently. Managers can also identify individual users.
Anthropic says it shouldn’t be used for performance reviews but why build metrics that invite that?
Anthropic says it shouldn’t be used for performance reviews but why build metrics that invite that?
October 31, 2026 at 8:56 PM
I've been saying for a while that LLMs are more about controlling the workers than it is about being productive.
Much, much more.
Much, much more.