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tango12

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1 ポイント·投稿者 tango12·19 日前·0 コメント

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Killing Slack was the only way to make AI accurate

promptql.io
2 ポイント·投稿者 tango12·3 か月前·0 コメント

AI native Slack/teams: Turning conversations to context

venturebeat.com
1 ポイント·投稿者 tango12·3 か月前·0 コメント

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1 ポイント·投稿者 tango12·4 か月前·0 コメント

The semantic layer is dead. Long live the wiki

promptql.io
3 ポイント·投稿者 tango12·7 か月前·0 コメント

Static AI Is Already Cutting Jobs; What Happens When It Starts to Learn?

promptql.io
1 ポイント·投稿者 tango12·11 か月前·0 コメント

Being “Confidently Wrong” is holding AI back

promptql.io
155 ポイント·投稿者 tango12·11 か月前·262 コメント

Approaching 100% accuracy on RAG with planning

promptql.hasura.io
2 ポイント·投稿者 tango12·昨年·0 コメント

PromptQL: Data access agent with 5x accuracy, repeatability than Claude and MCP

promptql.hasura.io
2 ポイント·投稿者 tango12·2 年前·0 コメント

Show HN: Hasura PromptQL: A new way of talking to your data

6 ポイント·投稿者 tango12·2 年前·4 コメント

コメント

tango12
·20 日前·議論
TL;DR: one Claude per slack channel.
tango12
·21 日前·議論
How is this multiplayer? Claude-slackbot needs to inherit my permissions for accessing scoped context and data / tools. Sounds like I need to setup specific credentials for each instance of the agent.

More importantly, claude-slackbot automatically remembering sounds like it'll be company wide AI slop? 75% of the stuff on slack should not be remembered for the future. And 90% of the stuff worth having in context is not even on the slack thread.
tango12
·11 か月前·議論
The AI being wrong problem is probably not insurmountable.

Humans have meta-cognition that helps them judge if they're doing a thing with lots of assumptions vs doing something that's blessed.

Humans decouple planning from execution right? Not fully but we choose when to separate it and when to not.

If we had enough data on here's a good plan given user context and here's a bad plan, it doesn't seem unreasonable to have a pretty reliable meta cognition capability on the goodness of a plan.
tango12
·11 か月前·議論
Author here.

You’re right in that it’s obviously not the only problem.

But without solving this seems like no matter how good the models get it’ll never be enough.

Or, yes, the biggest research breakthrough we need is reliable calibrated confidence. And that’ll allow existing models as they are to become spectacularly more useful.
tango12
·昨年·議論
What’s the eventual goal of text to sql?

Is it to build a copilot for a data analyst or to get business insight without going through an analyst?

If it’s the latter - then imho no amount of text to sql sophistication will solve the problem because it’s impossible for a non analyst to understand if the sql is correct or sufficient.

These don’t seem like text2sql problems:

> Why did we hit only 80% of our daily ecommmerce transaction yesterday?

> Why is customer acquisition cost trending up?

> Why was the campaign in NYC worse than the same in SF?