7 ms·
getting hard to keep up with skills, plugins, marketplaces, connectors, add-ons, yada yada
by phildougherty 11mo ago
getting hard to keep up with skills, plugins, marketplaces, connectors, add-ons, yada yada
- prng2021 11mo agoYep. Now I need an AI to help me use AI
- consumer451 11mo agoI mean, that is a very common thing that I do.
- wartywhoa23 11mo agoThat's why the key word for all the AI horror stories that have been emerging lately is "recursion".
- consumer451 11mo agoDoes that imply no human in the loop? If so, that's not what I meant, or do. Whoever is doing that at this point: bless your heart :)
- mikkupikku 11mo ago"Recursion" is a word that shows up a lot in the rants of people in AI psychosis (believe they turned the chatbot into god, or believe the chatbot revealed themselves to be god.)
- andoando 11mo agoTrain AI to setup/train AI on doing tasks. Bam
- josefresco 11mo agoJoking aside, I ask Claude how to uses Claude... all the time! Sometimes I ask ChatGTP about Claude. It actually doesn't work well because they don't imbue these AI tools with any special knowledge about how they work, they seem to rely on public documentation which usually lags behind the breakneck pace of these feature-releases.
- gordonhart 11mo agoAgree — it's a big downside as a user to have more and more of these provider-specific features. More to learn, more to configure, more to get locked into. Of course this is why the model providers keep shipping new ones; without them their product is a commodity.
- hansonkd 11mo agoThats the start of the singularity. The changes will keep accelerating and less and less people will be able to keep up until only the AIs themselves know how to use.
- matthewaveryusa 11mo agoNah, we'll create AI to manage the AI....oh
- skybrian 11mo agoPeople thought the same in the ‘90’s. The argument that technology accelerates and “software eats the world” doesn’t depend on AI. It’s not exactly wrong, but it leaves out a lot of intermediate steps.
- xpe 11mo agoYes and as we rely on AI to help us choose our tools... the phenomena feels very different, don't you think? Human thinking, writing, talking, etc is becoming less important in this feedback loop seems to me.
- xpe 11mo agoabstractions all the way down: abstraction abstraction abstraction abstraction ...
- absturtles 11mo ago... absturtles
- xpe 11mo agothis is pure absturtity! ("absturtlety"?)
- AaronAPU 11mo agoI don’t think these are things to keep up with. Those would be actual fundamental advances in the transformer architecture and core elements around it. This stuff is like front end devs building fad add-ons which call into those core elements and falsely market themselves as fundamental advancements.
- marcusestes 11mo agoAgreed, but I think it's actually simple. Plugins include: * Commands * MCPs * Subagents * Now, Skills Marketplaces aggregate plugins.
- input_sh 11mo agoIt's so simple you didn't even name all of them properly.
- xpe 11mo agoIf I were to say "Claude Skills can be seen as a particular productization of a system prompt" would I be wrong? From a technical perspective, it seems like unnecessary complexity in a way. Of course I recognize there are lot of product decisions that seem to layer on 'unnecessary' abstractions but still have utility. In terms of connecting with customers, it seems sensible, under the assumption that Anthropic is triaging customer feedback well and leading to where they want to go (even if they don't know it yet). Update: a sibling comment just wrote something quite similar: "All these things are designed to create lock in for companies. They don’t really fundamentally add to the functionality of LLMs." I think I agree.
- tempusalaria 11mo agoAll these things are designed to create lock in for companies. They don’t really fundamentally add to the functionality of LLMs. Devs should focus on working directly with model generate apis and not using all the decoration.
- tqwhite 11mo agoMe? I love some lock in. Give me the coolest stuff and I'll be your customer forever. I do not care about trying to be my own AI company. I'd feel the same about OpenAI if they got me first... but they didn't. I am team Anthropic.
- dominicq 11mo agoFeatures will be added until morale improves
- hansmayer 11mo agoWell, have some understanding: the good folks need to produce something, since their main product is not delivering the much yearned for era of joblessness yet. It's not for you, it's signalling their investors - see, we're not burning your cash paying a bunch of PhDs to tweak the model weights without visible results. We are actually building products. With a huge and willing A/B testing base.
- hiq 11mo agoIMHO, don't, don't keep up. Just like "best practices in prompt engineering", these are just temporary workaround for current limitations, and they're bound to disappear quickly. Unless you really need the extra performance right now, just wait until models get you this performance out of the box instead of investing into learning something that'll be obsolete in months.
- spprashant 11mo agoI agree with this take. Models and the tooling around them are both in flux. I d rather not spend time learning something in detail for these companies to then pull the plug chasing next-big-thing.
- lukev 11mo agoI agree with your conclusion not to sweat all these features too much, but only because they're not hard at all to understand on demand once you realize that they all boil down to a small handful of ways to manipulate model context. But context engineering very much not going anywhere as a discipline. Bigger and better models will by no means make it obsolete. In fact, raw model capability is pretty clearly leveling off into the top of an S-curve, and most real-world performance gains over the last year have been precisely because of innovations on how to better leverage context.
- hiq 11mo agoMy point is that there'll be some layer doing that for you. We already have LLMs writing plans for another LLM to execute, and many other such orchestrations, to reduce the constraints on the actual human input. Those implementing this layer need to develop this context engineering; those simply using LLM-based products do not, as it'll be done for them somewhat transparently, eventually. Similar to how not every software engineer needs to be a compiler expert to run a program.
- vdfs 11mo agoIMO, these are just marketing or new ways of using functions calling, under the hood they all get re-written as tools the model can call
- adidoit 11mo agoAll of it is ultimately managing the context for a model. Just different methods