We have already all paid for it. Weâre paying for it now eyeing a $3 ICP token back in the dumpster.
Newer ideas are not always the better ideas. No offense to Caffeine.
Sometimes the ideas we had before or at the start were truly the winners that we were talked out of pursuing. This was always a brilliant idea however the time wasnât right because the underlying tech was still years away.
But now we have WASM64, now we have Internet Identity 2.0, now we have Chainfusion with Solana, now we have vetkeys, now we have lower latency, an improved NNS, ICP Ninja, Caffeine AI, improved Motoko, improved devops, la la la, the upcoming dapp store for Caffeine âŚand it keeps going.
As for Caffeine, unfortunately LLMâs have major limitations when it comes to vibe coding or reasoning in general for that matter. ICP Ninja therefore is ultimately more important than Caffeine A.I. will ever be esp. for serious, secure, and solid projects and esp. any projects that will ultimately need to handle large sums of user funds. Now I understand why DFINITY handicapped Caffeine to only use Stripe and not allow crypto payments and other tech (at least not yet). As per this brilliant analysis video, an LLM is essentially a prediction machine that works on probabilities âof what comes nextâ essentially. They almost never say âI donât knowâ because they are rewarded to pretend they know everything when they certainly do not. And unfortunately depending on the training data used and if that is just the internet itself, you will end up with 95% of code being garbage as an example.
This is because our current LLM Transformer model is severely limited. These machines only do what is probable despite appearing to think and reason like Deepseek.
The Rise And Fall of Vibe Coding: The Reality of AI Slop
by Logically Answered. (EVERYONE SHOULD WATCH THIS)
Therefore, weâve already seen Caffeine go in circles down a rabbit hole when it canât figure out how to fix its own code. Weâve already seen how it will never say âI donât knowâ. Weâve already seen very inefficient AI Slop produced and Iâm sure vulnerable canister code that is definitely not production ready nor will it possibly ever be without human intervention or another AI like Googleâs analyzer to locate bugs and vulnerabilities in code.
ICP with its simplified stack does have a few plusses over the competition with orthogonal persistence and lack of needing and securing a database, data persistence with migration ability (if it works), among some other things.
Peronally as a developer I need to have a manual mode available which makes Caffeine unusable for me. I need to not only see the code, but be able to modify it when Caffeine produces trash which at the moment is very often. Maybe in 5 years from now, I will change my mind. This all depends on how skilled the trainers are and how quality the data is they are using to train it with.
Therefore ICP Ninja is the real story here imo. The direction of ICP Ninja with A.I. assist similar to how Prestonâs ICP Studio with AI Assist will help make development in Motoko and Rust faster and more productive is key. Caffeine is a novelty for newbies wanting to build very simple dapps but not for serious projects looking to onboard tons of users and become a startup and have an actual impact on the platformâs burn. A.I. fully on chain will actually burn a lot but where are those 60+ projects mentioned earlier?
As for the future of Artificial Intelligence reasoning, there is a Singapore team Sapient Intelligence working on a new model of the brain called HRM (a hierarchical approach) that in combination with the Transformer LLM model may finally make vibe coding and reasoning in general much better as well as all generative A.I. This may bring us one step closer towards AGI and a better understanding of our brains beyond what we see today. Instead of going crazy with Trillion dollar scaling, DeepSeek and now Sapient are bringing us back to the drawing table to design better AI models capable of much more with way less which is great news for everyone.
https://venturebeat.com/ai/new-ai-architecture-delivers-100x-faster-reasoning-than-llms-with-just-1000-training-examples
Vibe coding will NEVER replace real programmers anytime soon or the need for real devs. Lets hope big tech doesnât fumble the ball here and cause us to lose an entire generation of coders and people who truly understand what is going on. Esp. in crypto and with examples like Bob Bodily making multiple very costly errors on Odin dot fun, we must heed caution regarding getting lazy and letting A.I. do everything for us. For serious projects, everything the A.I. writes needs to be code reviewed and audited and you cannot assume it is giving you the 5% of well written code but instead the most probable 95% of the sloppy code that already exists.
