Kylie Fuentes

Curious about the world & the people who live in it.

[Kylie Fuentes @kyliefuu]

@VinnyLingham Nicely done @VinnyLingham 👏🏼👏🏼

[Aaron Levie @levie]

Just coming off of meetings with a couple dozen enterprise IT leaders discussing AI agents. Here are a few of the common themes that stand out:

* Lots of conversation that you have to solve an operating model challenge to get the full benefits of AI. Most companies have orgs that have always operated in siloes; but agents are most effectively when they are tied to a process, which often cuts across these siloes. So the big question is how do you start to deploy centrally managed agents that can work across organizational boundaries. Who manages these agents? How do they get deployed and adopted?

* Data fragmentation remains a major issue for most organizations. As long as data remains highly fragmented and not in standard formats, or data is not available to the right people and agents, enterprises are dealing with issues around being able to get answers from agents that are accurate or that conform to their business practices. This cuts across both systems with structured data (product metrics or revenue figures) and unstructured data (product roadmap or customer contracts).

* Clear sense that companies need to figure out what their core data moats are going to be in the future. If everyone has access to roughly the same superintelligence from the various models, then the context that you feed the models becomes proprietary value in the future. Capturing this data and getting it into a format that agents can use becomes very important.

* Everyone is trying to figure out the right metrics to manage to for AI adoption. General consensus that tokens are not the right metric per se, and people leaning more toward business outcomes (in an ideal world). For business outcomes (like more revenue or more shipped product), though, you have to get close to each individual workflow to figure out if it was successfully transformed with AI so it’s harder to manage top down.

* Growing view that enterprises are going to live in a multi-model world. Lots of interest (though early in actual adoption) in layers that can route workloads to different models (frontside or open weights) for cost or performance reasons. Also enterprises are trying to figure out what things do you give to the models directly vs. what do you separate as horizontal systems and context so you can swap any system in and out.

* Talent for driving AI adoption and implementation still remains a major issue and topic. Many view it as something you necessarily have to train for internally due to a shortage of talent being trained on this in the outside. As an aside, this feels like it remains a huge opportunity for those that get very good at deploying and management agents in an enterprise since most companies are looking for these skills.

* The best use-cases for AI tend to be those that fundamentally change the work being done instead of just replacing an existing process and doing it more efficiently. Companies are working through their versions of this individually because it’s different per industry, but this often remains both the most exciting and higher upside uses of AI.

Many more topics discussed recently, but overall it’s clear that there’s a ton of change going on with much more to come.

[Sara Mauskopf @sm]

Here's the thing: when big companies go down to 8 weeks, then smaller companies and startups will go down to 4, if anything. This is simply not enough time for most families, especially in a world where remote work is also disappearing. Daycare won't even take babies under 6 weeks old.

We know how this story plays out. Mothers will leave the paid workforce.

We shouldn't accept this as the new normal. The more we talk about it the harder it is for the bar to keep dropping.

[Kylie Fuentes @kyliefuu]

We’re the frog in the pot

[Matt Shumer @mattshumer_]

https://t.co/ivXRKXJvQg

[Patrick Collison @patrickc]

I was shocked at the refusal to condemn calls for genocide during yesterday's Congressional testimony from the presidents of MIT, Harvard, and Penn. I ended up watching a few hours of the hearing, and the answers were shamefully evasive and equivocal throughout. As an alum (albeit fleeting) of the first of those institutions, it appears that something is very broken.

https://t.co/SXL7aIvpT6

(More from the White House, @AlbertBourla, and @tylercowen:
• https://t.co/xbrt2cDE75
• https://t.co/EUbnW3Hv2A
• https://t.co/dQK8nnoT8o.)

[Siqi Chen @blader]

in one tweet: q* spooks board, board fires sam, hires mira, mira hires sam, board replaces her with guy from twitch, satya hires sam, 98% of openai threatens to quit, ilya's like oops j/k nm, new ceo says to the board "pics or gtfo", board has no pics, brings sam back, q* leaks.

[Kylie Fuentes @kyliefuu]

The #exodus this year is one for the books. Breathtaking drone footage. But very glad I walked out yesterday instead 🙏

https://t.co/CiJV71J6Nj

#BurningMan2023 #blackrockcity #ExodusBegins #BurningMan

[Chumel Torres @ChumelTorres]

La Rosalía cantando Héroe de Enrique Iglesias en Coachella es mi highlight de este perro año.

[Aaron Levie @levie]

While there will be a race between incumbents and new entrants for applying AI to existing categories, AI is going to open up completely new opportunities that couldn't have existed even a year ago. Probably haven't had this much open space since '05.

[Aaron Levie @levie]

We’re entering an era of AI-first software, which has the potential to create supercycle of opportunity and disruption in software not seen since mobile and cloud. This will be fun.

[Hubble @NASAHubble]

520 exposures. Over a billion pixels. One mind-blowing image!

This Hubble image shows the stunning Orion Nebula, which is the closest large star-forming region to Earth.

Discover more: https://t.co/ALXOqXB9bg

[BowTiedRobin @BowTiedRobin]

Bill Gates, George Soros, Peter Thiel, & Jeff Bezos are quietly betting billions on Nuclear.

Here are the 6 companies they’re investing in:

👇🧵

[Kylie Fuentes @kyliefuu]

@Iberia_en You should be ashamed of the customer service you provide. I have spent over 3 hrs on calls with your cal center and without fail, every agent manages to either not have the info or disconnect me when I am put on hold.

[Illia Ponomarenko 🇺🇦 @IAPonomarenko]

Mariupol

[Igor Baikov @igor_baikov]

What's happening in Russia/Moscow rn. A pretty random thread:

[Boris Johnson @BorisJohnson]

How the UK is supporting Ukraine.

#StandWithUkraine 🇺🇦🇬🇧

[Kylie Fuentes @kyliefuu]

The 00’s owe @britneyspears some big time apologies. The misogyny, harassment and lack of respect this girl endured is not ok.

[New York Times Music @nytimesmusic]

Britney Spears hasn’t been able to completely control her own life for 13 years, stuck in a court-sanctioned conservatorship. A new documentary by The New York Times examines the pop star’s court battle with her father for control of her estate. https://t.co/KfgkfT1Cbb

[Daniel Schneider @BiologistDan]

How tough is it to be a #whale in the modern world? The blue dot is a Blue Whale in Chile Patagonia trying to feed. The black dots zipping around are ships the whale is dodging. We need tougher boating regulations to protect endangered whales. Extinction is forever.

[Amanda Gorman @TheAmandaGorman]

I AM ON THE FLOOR MY BOOKS ARE #1 & #2 ON AMAZON AFTER 1 DAY! Thank you so much to everyone for supporting me and my words. As Yeats put it: "For words alone are certain good: Sing, then"

[Kylie Fuentes @kyliefuu]

When is 2021 going to feel like it’s not 2020?