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AI Isn't Stalling – The Platforms Are Missing

2 points by iggori 8mo ago

iggori 8mo ago
Read an interesting piece arguing that AI adoption isn’t slow because of the models, but because nobody has shipped the platform layer yet. No OAuth, no events, no sandbox, no real “App Store moment.” Feels like the pre‑platform era of mobile all over again.
PaulHoule 8mo ago
AI Isn't Stalling — You can't write a post title that wasn't written by AI! (Seriously, you might as well wear a metal mask if you're going to use an em dash!)
- iggori 8mo ago
  Style aside, the interesting bit for me was the claim that AI adoption is stuck because nobody has shipped the platform layer yet. Curious what others think about that part.
  - PaulHoule 8mo ago
    Who says it is stuck? The HN /new page is flooded with articles about AI that nobody wants to read. Take a look at how many slop articles about HN on /new and looking the top page how people are desperate to read articles about anything else.
al2o3cr 8mo ago
Holy it's not X it's Y Batman! From early in the piece: --- It’s not bold. It’s backwards. It’s like asking someone to buy a car they’re only allowed to sit in while it’s parked. The result is predictable: AI becomes something people talk about more than they use. The excitement is real, but the integration is superficial. The potential is enormous, but the pathways to realizing it are blocked. The technology is ready, but the architecture is not. This is not a rant; it’s a diagnosis. ---
- PaulHoule 8mo ago
  ... it's like the people who post AI slop about AI haven't actually read what they post.
sak84 8mo ago
this resonates hard and exactly what i'm trying to build to solve at elvex. the missing pieces we are building around are: - unified auth/permissions across multiple AI providers - secure data connections without exposing credentials to agents - audit trails for compliance - team collaboration (who can deploy what agents where) the article's right that the tech is ready but the architecture isn't. most companies are duct-taping OpenAI API + LangChain + custom auth + manual governance elvex gives you the platform layer: multi-provider AI, data integrations, team permissions, workflow orchestration. not saying it's the only option but we're solving the "how do we actually deploy this" problem

2 points by iggori 8mo ago

Read an interesting piece arguing that AI adoption isn’t slow because of the models, but because nobody has shipped the platform layer yet. No OAuth, no events, no sandbox, no real “App Store moment.” Feels like the pre‑platform era of mobile all over again.

PaulHoule 8mo ago

AI Isn't Stalling — You can't write a post title that wasn't written by AI! (Seriously, you might as well wear a metal mask if you're going to use an em dash!)

iggori 8mo ago
Style aside, the interesting bit for me was the claim that AI adoption is stuck because nobody has shipped the platform layer yet. Curious what others think about that part.
- PaulHoule 8mo ago
  Who says it is stuck? The HN /new page is flooded with articles about AI that nobody wants to read. Take a look at how many slop articles about HN on /new and looking the top page how people are desperate to read articles about anything else.

al2o3cr 8mo ago

Holy it's not X it's Y Batman! From early in the piece: --- It’s not bold. It’s backwards. It’s like asking someone to buy a car they’re only allowed to sit in while it’s parked. The result is predictable: AI becomes something people talk about more than they use. The excitement is real, but the integration is superficial. The potential is enormous, but the pathways to realizing it are blocked. The technology is ready, but the architecture is not. This is not a rant; it’s a diagnosis. ---

PaulHoule 8mo ago
... it's like the people who post AI slop about AI haven't actually read what they post.

sak84 8mo ago

this resonates hard and exactly what i'm trying to build to solve at elvex. the missing pieces we are building around are: - unified auth/permissions across multiple AI providers - secure data connections without exposing credentials to agents - audit trails for compliance - team collaboration (who can deploy what agents where) the article's right that the tech is ready but the architecture isn't. most companies are duct-taping OpenAI API + LangChain + custom auth + manual governance elvex gives you the platform layer: multi-provider AI, data integrations, team permissions, workflow orchestration. not saying it's the only option but we're solving the "how do we actually deploy this" problem