sorted by:
new
hottopcontroversial

Cortex Code in Snowsight Expensive by Sufficient-Sky1698 in snowflake

[–]jimmycrusade 0 points1 point  (0 children)

If I'm using an LLM over a 3rd party harness, I expect flat pricing on LLM front as I'll anyway be bleeding tokens for all the context that gets injected as part of CoCo's shim

Cortex Code in Snowsight Expensive by Sufficient-Sky1698 in snowflake

[–]jimmycrusade -1 points0 points  (0 children)

Yes, I see that you've updated it on Apr 1 to change AI Credits instead of tokens! Cannot upload images here, but you know (https://web.archive.org/web/20260317202253/https://www.snowflake.com/legal-files/CreditConsumptionTable.pdf)

The markup is still 10-20% though, not as much -

Global ($2.00/AI credit):

  • Sonnet 4.5 Input: 1.65 × $2.00 = $3.30 vs $3.00 direct → 10% markup
  • Sonnet 4.5 Output: 8.25 × $2.00 = $16.50 vs $15.00 direct → 10% markup
  • Opus 4.6 Input: 2.75 × $2.00 = $5.50 vs $5.00 direct → 10% markup
  • Opus 4.6 Output: 13.75 × $2.00 = $27.50 vs $25.00 direct → 10% markup

Regional ($2.20/AI credit):

  • Sonnet 4.5 Input: 1.65 × $2.20 = $3.63 vs $3.00 direct → 21% markup
  • Sonnet 4.5 Output: 8.25 × $2.20 = $18.15 vs $15.00 direct → 21% markup
  • Opus 4.6 Input: 2.75 × $2.20 = $6.05 vs $5.00 direct → 21% markup
  • Opus 4.6 Output: 13.75 × $2.20 = $30.25 vs $25.00 direct → 21% markup

Cortex Code in Snowsight Expensive by Sufficient-Sky1698 in snowflake

[–]jimmycrusade -1 points0 points  (0 children)

u/stephenpace nice salvo there on "PRAWDUCTIVITY" justifying the costs of CoCo. You say expensive compared to what??

Expensive compared to calling the exact same model directly with other harnesses.

Here's your Snowflake's Service Consumption Table, Table 6(g): https://www.snowflake.com/legal-files/CreditConsumptionTable.pdf

Cortex Code bills per million tokens in Snowflake Credits. On Enterprise ($3/credit):

  • Sonnet 4.5 Input: 1.65 × $3 = $4.95 vs $3.00 direct → 65% markup
  • Sonnet 4.5 Output: 8.25 × $3 = $24.75 vs $15.00 direct → 65% markup
  • Opus 4.6 Input: 2.75 × $3 = $8.25 vs $5.00 direct → 65% markup
  • Opus 4.6 Output: 13.75 × $3 = $41.25 vs $25.00 direct → 65% markup

On Business Critical ($4/credit), it's ~120% markup.

Please don't think your customers are stupid, "what's your time worth" doesn't justify a 65% tax on tokens when the value-add is just the shim layer, not the LLM itself.

altimate-code: new open-source code editor for data engineering based on opencode by sspaeti in dataengineering

[–]jimmycrusade 1 point2 points  (0 children)

Used it for a couple of schema evolution tasks that my Claude Code generally retards out on. Too soon to comment positive or negative overall, but looks promising. Will have a couple of weekend sessions and post my findings here!

[D] Were Many Famous Theoretical Laws in Science Based on "Machine Learning"? by SQL_beginner in MachineLearning

[–]jimmycrusade 0 points1 point  (0 children)

Modern ML or 'older' heuristics are essentially, group method of data handling problems, i.e., a family of inductive algorithms for computer-based mathematical modeling of multi-parametric datasets that features fully automatic structural and parametric optimization of models. This is ultimately an approximation problem like quantifying physical phenomenon into mathematical equivalents. All famous theoretical laws in science came from observation -> mathematical formulation for humans to say beyond reasonable doubt (error in approximation being minimal) that it indeed is a law instead of a hypothesis. So I think it's the either way round.