Steve Falconer @SteveFalconer9 - Twitter Profile

Steve Falconer

@SteveFalconer9

16 days ago

@flywithaopa Why? Maybe I should make a decision to stop using AOPA and only monitor EAA and NAFI?

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Steve Hilton

@SteveHiltonx

21 days ago

Just try it, California.

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Ali Ghodsi

@alighodsi

21 days ago

Everyone has been obsessed by Jev and what it can do, and they should be! Fast typed decisions >> slow text generation. It's a complete game changer. But how do you do that with all the data you have? We just dropped 𝚊𝚒_𝚍𝚎𝚌𝚒𝚍𝚎(), which runs decision models natively on all your data in @databricks . Now you can run system one decisions on all your big data, see screenshot. https://t.co/1kvMaxxFEt

alighodsi's tweet photo. Everyone has been obsessed by Jev and what it can do, and they should be! Fast typed decisions >> slow text generation. It's a complete game changer. But how do you do that with all the data you have?

We just dropped 𝚊𝚒_𝚍𝚎𝚌𝚒𝚍𝚎(), which runs decision models natively on all your data in @databricks . Now you can run system one decisions on all your big data, see screenshot.

https://t.co/1kvMaxxFEt

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Steve Hilton

@SteveHiltonx

20 days ago

Calculate how much YOU can save: https://t.co/VszPEbLWZb

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taruei

@taruei

元体育会系ENFP-ACな人です。TOEICアカウント→バチェラーデートアカウント→日常アカウント TOEIC 初受験L(200/495) R(150/495) 現在 L(480/495) R(435/495) 受験回数は93回。 2025年2月からプログラミング(Python)と趣味でポケカ始めました。

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@hsuAlGrjtRoCN8D

思ったことを端的にまとめる練習帳です。スポーツ観戦、猫、アート、マーケティング、資産運用、本、音楽、ファッション他雑アカ。※無言フォロー失礼します。NGの場合ご指摘ください。

ちゃいか

@Chaikahope

その場の勢いだけで生きていてごめんね！！！！久川姉妹P 東方/銀魂/とうらぶ/黒ウィズ/おそ松さん/ギャグ日/マギレコなどニチアサも見るよ

SteveFalconer9 retweeted

Steve Hilton

@SteveHiltonx

20 days ago

Just sat down with Jason Oppenheim at the Oppenheim Group. We disagree on plenty. Not on this: California is BROKEN. We talked practical solutions for the HIGHEST housing and gas prices in America, the INSANE taxes and the billions wasted on a "bullet train." ENOUGH IS ENOUGH! @OppenheimJason

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Patrick Wendell

@pwendell

24 days ago

We've moved to an approach @databricks that gives "Day 1" access to 12,000 employees whenever a new frontier model is released. Very tricky to do while avoiding massive cost spikes and quality regressions. We've written up our approach if others are interested (see below).