Related posts
Chris Tate GitHub
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
Top people
Showing Profile →
Hiding
Hiding
20 September
19 September
18 September
-
korrents.com
Taking feedback from an LLM does not bleach out writing style the way model-generated text does.Their words
The most common pushback I'm getting to this post is that taking this kind of feedback from an LLM is going to bleach out your style just like having the model generate the text, because models can't be trusted with "style". No.
17 September
16 September
15 September
14 September
13 September
10 September
-
korrents.com
Ordinary users do not vibe-code or interact with code; their AI chat apps simply perform tasks for them.Their words
Normies don't vibe code, they just ask something like "do my bookkeeping" or "file my tax" or "organize a movie night and send invites" or "generate a flyer for movie night" or "edit my video" They don't ever see code, vibe code, or do anything with code, their AI chat app just does it for them
-
korrents.com
Agents generate more data than before, so cheap and fast primitives are especially helpful to understandTheir words
Agents generate more data than before so understanding primitives that are both cheap + fast is v helpful
8 September
4 September
From one piece Why Fei-Fei Li Is Betting on Spatial Intelligence 2 beliefs, in the piece's order there
-
Their words
Well, spatial intelligence eventually must enable us to both generate what the space is, reason within it, and being able to edit and interact within it.
-
Their words
And I do believe Atlas is a significant step forward because now with every single frame, you have a you can generate an estimate a important piece of information, which is the the view viewpoint, the camera pose. And that is the most critical information one needs about the geometry of the of the space.
1 September
-
Their words
But keep those methods you use to investigate things and monitor things very separate from the methods you use to generate reward which is something that AI companies including open AAI have held up as a principle especially in the case of avoiding putting training pressure on the chain of thought. So you might have monitors that read the agents chain of thought in order to alert you if something is going wrong somewhere but you don't train the agents with the outputs of that monitor.
31 August
-
Their words
We found that AIs are actually quite creative and that they generate more commercially viable ideas than groups of humans, but those ideas are very similar to each other.
29 August
-
Their words
Today is a very historical moment for AI video generation You can now generate AI video faster than you can watch it Before it'd take let's say 2-5 minutes to generate 15 seconds of video @fal made a post-trained Minimax H3 variant called Max which is 50x faster than the original but still maintains quality It generates 15 seconds of video in 9 seconds!
26 August
-
Their words
The world would be so fucking boring if we constantly sought 100% compatibility in our opinions and in our politics. And when it comes to my code generator, which is what Claude is, I don't need it to share all my politics.
24 August
23 August
20 August
19 August
-
Their words
now that it is very easy for anyone to use an agent to create a body of text, I think it's more important than ever for us to make sure that the ideas we're putting out in the world are actually worth people reading.
17 August
14 August
-
Their words
economic research has repeatedly found that they rarely generate enough marginally income, employment, or tax revenue to justify the subsidy.
13 August
-
korrents.com
AI systems can now directly interact with the tools on a person's computer and browser, not just generate text.Their words
For the first time, AI has "hands" - that is, the ability to reach out and interact with the tools on your computer and in your browser, just as you would.
12 August
From one piece Stop being skeptical about AI for development with Charity Majors 2 beliefs, in the piece's order there
-
Their words
Like that just does not seem like the ideal artifact. We should be able to store them somewhere. We should be able to have architecture diagrams that we can review and discuss that generate that code to spec.
-
Their words
I mean, if you if you think about it, you could generate 10,000 variants of a function faster than you could write it once.
10 August
-
Their words
Coding isn't yet another application domain -- it's the meta-skill required for AI to automatically develop its own training material, via symbolic world models. That's how the RSI loop actually kicks off.
5 August
1 August
31 July
27 July
-
Their words
Like this is actually like a new form of test time compute. Like when we talk about the scaling laws and kind of we talk about the model getting more intelligent over time, historically, it's been a function of the size of the neural net, the amount of training data, and the number of flops that you put in to the training. And then recently, we also added test time compute. So this is essentially a fancy way a researcher way of saying how many tokens does it generate. And now dynamic workflows are essentially a new way to orchestrate test time compute.
15 July
-
Their words
And uh it's still worth it's still worth not reading the code for most of the time at the cost of every once in a while I'm going to have to spend two weeks fixing an issue by hand. And I don't believe that anymore because I think the amount of code we're able to write now is actually like 10xed or 100xed and I think the problem's just getting worse.
14 July
8 July
-
Their words
However, these LLM reasoners that generate informal reasoning in natural language are fundamentally limited by the lack of precise, machine-checkable semantics, making their outputs prone to hallucinations [Huang et al., 2025b] and precluding autonomous verification, a prerequisite for tackling open-ended mathematical research.
30 June
-
Their words
I think the way that you'd measure conjecture generating ability is going to be more subjective on like that tone shift where um it'll be mathematicians saying they're not just using it to like solve their problems, but as they step back and decide what their research field should even be that a conversation with such and such model like was genuinely helpful for that.
23 June
19 May
8 May
30 April
-
Their words
In the face of weakened renewable roll-out in Australia, the most likely outcome is simply that coal and gas just generate more, and for many more years past their shut down date.
16 April
29 March
-
Their words
if you can describe a style, AI can generate it. And the same with software. If you can describe a software, then AI can build it for you.
20 March
-
Their words
So, we're now in a situation where suddenly people can generate thousands of theories for a given scientific problem. And now we have to to verify them, evaluate them and this is something which we we have to to change our structures of science to actually sort this out.
15 March
11 March
-
Their words
Small studios are the future of gaming. The big studios basically acquire the small studios for new IP and ideas, and the small studios grow in. The really compelling, new, innovative ideas are gonna come out of small studios.
18 February
13 February
-
Their words
But the quality of these systems isn't just in the code they write. It's also in the code I don't have to write. And maybe more importantly, their actual value is in the code I would never have written, or could never have written, or never would have wanted to write.
When Long-Term Investments Finally Pay Offthebootstrappedfounder.com
12 February
-
Their words
We show that equilibrium generically occurs at neither the Harberger nor Glaeser-Luttmer benchmark. Cost-minimizing suppliers drive allocations to vertices, not interiors. Corners are not an assumption but an outcome about what cost-minimizing suppliers choose. The correct benchmark is corners, not random, and corners generate qualitatively different welfare properties: losses far larger than either efficient or random distributions, and discontinuous jumps from small parameter perturbations.
9 February
-
Their words
I think that there will be lots of work for us cleaning up after the slop, but if you know what you're doing AI augmented development is going to get you some amazing results
2 February
-
korrents.com
Spending money does not generate happiness.Their words
there is no research that suggests spending money generates happiness.
21 January
14 January
-
Their words
When applications can generate capabilities on demand, the definition of "what this product does" becomes more fluid. Features aren't just what shipped in the last release, they're also what users will ask for in the next session.
3 January
13 October 2025
11 October 2025
-
korrents.com
A data centre earns its county far more tax revenue per gallon of water than a golf course does.Their words
Data centers are so much more efficient with their water that they generate 50x as much tax revenue per unit of water used than golf courses in the county:
2 September 2025
-
Their words
You see this for the music now. You can generate new music. It could generate new stuff that you wouldn't know. For an LLM variance is bad. originality is is is a lower score. So what's the feedback loop for original but good?
23 July 2025
-
Their words
Do you have enough data to make simulations, so that you can create more synthetic data that are from the right distribution? Obviously that's the key. So you need enough real-world data in order to be able to create those kinds of data generators, and I think that we're at that step at the moment.
26 May 2025
-
Their words
It's a lot easier for someone to engage with an argument if they generated the key steps themselves by answering my questions - if imposed by me, it sparks contrarianism and defensiveness
7 May 2025
30 April 2025
15 April 2025
24 March 2025
-
Dislikedrcmnd.app
AutoSleepTheir words
AutoSleep is basically a random number generator. Maybe there is a better app on Apple Watch for sleep tracking, but I haven't found it. Do not use.
22 March 2025
-
Their words
I think there's this whole idea, I call it a denial of attention. I think there's an entire attack vector that's going to be happening. We're using LLMs to generate fake bug reports, fake all these things to just actually effectively to demotivate and hurt open source maintainers.
3 February 2025
-
Their words
And humans are actually very good at reading or judging between two things versus... This goes back to the core of what RLHF and preference tuning is that it's hard to generate a good answer for a lot of problems, but it's easy to see which one is better.
1 February 2025
23 December 2024
31 August 2024
-
Their words
The selling point of generative A.I. is that these programs generate vastly more than you put into them, and that is precisely what prevents them from being effective tools for artists.
25 April 2024
18 April 2024
-
Their words
Installed generators cost ~$800/kW, and the data center capital cost, including servers, is ~$40,000/kW, so adding 1% more makeup compute capacity is money ahead of purchasing generators.
How to Make Off Grid Data Centers Affordableaustinvernon.site
18 March 2024
-
Their words
I think the question behind that question is, do people who create valuable data deserve to have some way that they get compensated for use of it, and that I think the answer is yes. I don’t know yet what the answer is. People have proposed a lot of different things. We’ve tried some different models. But if I’m like an artist for example, A, I would like to be able to opt out of people generating art in my style. And B, if they do generate art in my style, I’d like to have some economic model associated with that.
17 March 2024
3 March 2024
-
Their words
They will shift what cash they generate to HBM capacity, which will keep supply growth in DRAM and NAND low.
Why HBM is the Hottest Thing in Memoryfabricatedknowledge.com
13 January 2024
29 November 2023
-
korrents.com
Anti-immigration parties gain ground by generating fear, not by winning the argument about what immigration does.Their words
The thing about the far-right parties is that they are trying to get people to equate all foreigners in a country with a threat to our future, but they are only gaining ground because of their ability to generate fear.
21 November 2023
24 October 2023
10 October 2023
-
korrents.com
Text is a more powerful output modality for a model than images, because text supports many downstream tasksTheir words
Text is a much more powerful mode for model outputs. A model that can generate images can only be used for image generation, whereas a model that can generate text can be used for many tasks: summarization, translation, reasoning, question answering, etc.
Multimodality and Large Multimodal Models (LMMs)huyenchip.com
9 August 2022
-
Their words
the research on like brainstorming where all brainstorming together the research shows that brainstorming does not produce more ideas or more innovative ideas. And I think teams would be and groups would be better having individuals generate their own concepts and then after they've done it independently and privately sharing it with the others.
13 July 2022
9 June 2022
4 March 2022
28 October 2020
-
Likedaffiliate linkrcmnd.app
Predictable Revenue: Turn Your Business Into A Sales Machine With The $100 Million Best Practices Of Salesforce.comTheir words
If you're looking to understand the basics of building and scaling a sales process and team, this book is a great primer. It also goes into great detail in how the author built a better, more reliable method than pure cold-calling to generate leads beyond the marketing team at Salesforce's efforts.
14 November 2019
15 October 2019
-
korrents.com
Generators emit thousands of lines where ten would do, and that waste is why people think their phone is slow.Their words
These programs that generate a website, app, or file for you spit out thousands of lines of unnecessary junk when really only 10 lines are needed.
6 October 2018
30 October 2016
Nothing matches.
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they do, this site shows a machine translation beneath the post, in this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the serif above is exactly what the person published, and it is what to quote them on. A translation can be wrong in ways that matter, especially about tone.
Only the post's own words are translated. A quoted post, a linked article and a belief on korrents.com are left in their original language.