Great article about Anthropic Mythos and finding vulnerabilities

https://lnkd.in/eEGPkRkb

Just reminded that iMacs shipped with a remote and I had one and it was oh-so-nice

https://lnkd.in/eC6Ve4W6

To move from opinion to data you need… multiple opinions! 🦦

That’s why, for many years, we gather as much responses as possible to understand the state of the union around Data & AI.

So, do you have 5 minutes and an opinion to spare? I’d love to hear what you think!

👉🏼 https://lnkd.in/enDh5S8U 👈🏼

Token-per-watt is the new unit of scaling. And the Token Optimizer® will do their magic to use the least tokens given your business problem.

But there’s something even harder.

Getting people to use AI. How do you measure it? How do you know if you’re successfull? How to keep the business front and center?

On May 13, Rozaliya Khafizova and Tatiana Vorobeva will do a deep dive with a real FMCG case to discuss lessons learned and best practices to drive AI adoption.

https://lnkd.in/ennadtuF ← BE THERE!

They should’ve written “GET OFF MY lAWN”

Last year, uv added a feature to reduce supply-chain-attack risks.

This week, pip introduced a similar feature, –uploaded-prior-to.

It’s really simple to use, and I wrote about it at https://lnkd.in/eAUDk62C

Clueless users of LLMs don’t understand how math works, wipe out production database, and start crying on X

https://lnkd.in/e89EE84m

great quote

https://lnkd.in/ezcue7bF

Data & AI Literacy is a technical journey, done by people.

How do you measure whether you’re successful?

Read all about it by Nina Stefels on our blog https://xebia.ai/10-data-ai-literacy

Tokens are the new currency in LLM lands. Optimizing them is as important as ever.

That’s why you should frame this article by Rogier van der Geer where he describes the agents-as-tools pattern.

https://xebia.com/blog/how-to-get-the-most-out-of-your-agents-part-ii/