
https://xitter.cf/t.co/tPBdxMeD42 Previously @dagster and @stitch_data
Philadelphia PA
Joined June 2008
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The ending was always my favorite
The days before school starts are so high stress. Not for me anymore, but the tensions are high in the house.
Never change a model midstream
This is why I turn down all podcast requests.
When Seth Rudetsky received an invitation to appear on Nikki Glaser’s podcast, he had no particular reason to think it wasn’t real.
Not long afterward, another invitation arrived, this time supposedly from Amy Poehler’s podcast. Rudetsky actually knows Poehler, so this time he employed the most reliable authentication technology available: He asked Amy Poehler. No, she replied, she hadn’t invited him onto her podcast.
Rudetsky had stumbled into an increasingly sophisticated scam in which fraudsters impersonate famous podcasters and their representatives, using flattering, highly personalized invitations — most likely composed by AI — to lure prospective guests into handing over money, login credentials or control of social media accounts.
hollywoodreporter.com/news/g…
Shaun McAvinney retweeted
I keep seeing AI teams solve the rising inference cost problem by making the product worse.
The team compacts context, pushes more work to less capable models, or caps usage.
The bill comes down.
So does the product.
Conventional context compaction can discard details the agent still needs.
This is a hard problem to solve.
Shaun McAvinney retweeted
We just published the latest version of our SaaS Contract Benchmark report.
Link to the full report in the comment below, and here are a few highlights:
Shaun McAvinney retweeted
Long-horizon agents don’t just use more tokens as they work longer. Their input cost can compound quadratically with every added step.












