1,841 mentions · 834 chunks · 141 episodes
...e who said they didn't trust confidential computing. Confidential computing and LLMs are both technologies that are useful ingredients, imperfect though they may be, to iterate towards something better. If you were a security absoluti...
If you ask an expert if LLMs are good at a task, they'll say it's insufficient. But what you should do is ask the person who isn't good at the task if it's better than them! You ...
LLMs aren't just fluent in English, they're fluent in all languages in their training set! Spanish. JSON schema. Mermaid diagrams. A universal babelfish!
The pipeline of reasoning that powers society… and LLMs. The vast majority of "reasoning" is actually a fuzzy interpolation of previously cached answers. The caching is not just in a single brain, but in t...
If you come up with a definition of a task LLMs can't do... can humans? When you understand a machine or animal better, it causes you to reflect on your own human skills. What makes us human? "LLMs...
... over time, entropy eroding it. Humans absorb knowledge into language. And then LLMs can come along and slurp up that knowledge. LLMs and neural nets are extremely rudimentary processes, just in an extremely large scale system soaking...
...hat a weird distillation, what a compressed pipe of information. That's the way LLMs see the world!
...ighting the transition because we want the control that comes from building it. LLMs get their abilities organically, not via engineering. To unleash the power of LLMs, we have to move to a gardening mindset, not a builder mindset.
LLMs are like a magical photo copier. They can do a surprisingly good copy of things they've never seen before. But each thing they generate is slightly d...
LLMs have a "cool teacher" voice and say the most bland things. (Riffing off of Molly White's excellent https://www.citationneeded.news/ai-isnt-useless/) ...
LLMs are inherently bland. If you ask ChatGPT to ask you an interesting question it'll say something super generic like: "What movie or book do you think ...
LLMs don't reason, they intuit. With enough scale, this can do an extremely convincing facsimile of reasoning. LLMs appear to be possibly incapable of ori...
A pattern: use LLMs for a rough and ready version. A quick and dirty, good enough answer on demand. The more that procedure is depended on, the more you factor out commo...
...e whole system should be possible for humans to do, even if it's a lot of work. LLMs then provide some good-enough starter ability. The LLMs are the floor and the height of that floor is how good the LLMs are. The higher the floor, th...
The app model has no wiggle room. Users being able to use LLMs to jury rig solutions doesn't change anything inside the app model. But outside the app model, being able to jury rig solutions is obviously useful.
LLMs are magical duct tape that are made out of crystallized society-scale intuition.
...ally lower-cost-than-before input. The low-cost input for this next paradigm is LLMs. LLMs look expensive compared to normal compute. But they look radically cheap compared to generic human mental labor.
LLMs mean that anything with an API can now be controlled in plain english. There are a ton of amazing open source tools and frameworks that previously we...
LLMs in the computation loop can create more resilience. Last week I riffed on the idea that systems with humans embedded are more resilient. Systems with...
LLMs allow you to talk to the crystallized intuition of society. LLMs: a deterministic system that outputs vibes LLMs are the apotheosis of the algorithm....