Companies are trying to control AI spend the same way they controlled cloud spend. It doesn't work.
Cloud bills showed you what you paid for: EC2, API Gateway, S3. AI bills just show tokens and a total. No breakdown of what the spend did.
https://t.co/l4NusrZx3Q via @WSJ
Someone in the replies put the next question best, can we also measure the corresponding productivity? Routing to cheaper models and caching is the obvious first move, but without visibility into what each call actually did and how it changed the way people work, you can't see whether the output held up. You end up paying less without knowing any more.
The question isn't whether AI spend went up. It's whether AI spend created proportionally more value.
Most companies can answer the first question. Very few can answer the second.
@shortstein Leibniz formula? (I must admit I couldn't think of it's name but I knew the formula form years ago)
pi/4 = 1 - 1/3 + 1/5 - 1/7 + 1/9 ..... (repeat until you get your desired precision)
no hacks and only +, - and / required.
The most impactful data in society tell the stories of our humanity. Nestled in the details of the tales are our friends, family members and loved ones.
Change the world by understanding the broad strokes, respect and protect our society by avoiding granularity.
#eyesoffmydata
Meet @june_brawner, who will be bringing the perspective of the @royalsociety to the Eyes-Off Data Summit!
Join us to hear June among other thought leaders in Eyes-Off Data Science: https://t.co/84GPXGAOKw
A warm welcome to Salil Vadhan, flying in from @Harvard / @opendp_org for the Eyes-Off Data Summit!
Join us at the Eyes-Off Data Summit to hear Salil's perspective on the future of privacy and data science: https://t.co/PNWuRMV5bG
In my work with @CompSciOxford and @ODIHQ, I've been working a lot on #PETS and #GDPR. This highlighted the risk of facilitating non-compliant data practices, esp. by big tech, and the need for protections. I will discuss some of this work at a conference by @oblivious_AI soon.
And the next speaker is Raphaël de Fondeville, Group Lead at the @swissstatistics!
Join us at the Eyes-Off Data Summit to hear Raphaël's perspective on the future of privacy and data science: https://t.co/PNWuRMV5bG
📢 Join us at The Eyes-Off Data Summit: Dublin July 20th & 21st
- Learn from data experts.
- Explore privacy-preserving data science toolkits.
- Share ideas, experiences and network.
More info & registration: https://t.co/nXeJVZBv4l
#eyesoffmydata#datascience#privacy#event
Deploy your docker containers to secure enclaves and connect to the via our secure proxies - no waitlist, easy install, free enclave time! 🙌
Our python package and cli tool to help you get started is described here:
https://t.co/JyTPWcx505
Our team at Oblivious is collaborating with the UN PET Lab to run the first global PETs competition for data scientists and developers.
Learn, engage and compete!
Click the link to register as a 1-person-team or as a group of up to 3.
https://t.co/gCHNos1mwd
What do we trust to keep our data private?
We shared our thoughts in our latest Medium post and would love to hear your thoughts.
https://t.co/zKJFy9l4eF
@iamtrask Wouldn’t marketing simply become faking people in that context? Already in online newspapers have sponsored posts, Instagram ads look like others content, YouTube is filled with unregulated sponsored content... our data sharing is just prone to adversarial attacks (incl Twitter)