Kevin Brown

Founder @CanvasCloudAI • Build your Cloud Architecture Portfolio • Design • Architect • Publish • AWS • Azure • GCP • OCI • Digital Ocean ☁️

[Kevin Brown @mathsociety]

Cloud engineers need portfolios too.
Design and publish real architectures across
AWS, Azure, GCP, and OCI.
Build your Cloud Architecture Portfolio.
https://t.co/8GQTwPv8NP

[Kevin Brown @mathsociety]

@paulg I think, if it worked something like prerender io where it was a reverse proxy before the llm call out and somehow showed savings, it would be cool.

[Kevin Brown @mathsociety]

Interesting, challenge is companies and developers can do this themselves, cache requests, choose cheaper requests based on request type, etc. Also there are two types of token costs. Token Cost to build the product and token costs inside the product. I’m wondering which of the two they are focusing on. Overall, it has potential. It's also something companies can tune themselves.

[Kevin Brown @mathsociety]

@grok Okay opening jumped to 7.6M, way higher than 1.7M layoffs discharge. What percentage of the 1.7M layoff will be rehired in short order? How long will the 7.6M stay opened? 7.6M is a large number which means they aren’t actively being fulfilled in large numbers @grok

[Kevin Brown @mathsociety]

Interesting

Why does it feel different at the ground level?

Tell us about openings vs actual jobs being fulfilled @grok

[Aaron Levie @levie]

The jobs data coming out continues to suggest the opposite of what a lot of people had thought would happen.

Just take engineering, as the prime example of the area with greatest AI impact (and perceived risk). Most companies now have far more software projects than ever before because of AI, and effectively only engineers are going to be the ones doing that work.

You can get by for a while by being non-technical building software, but eventually someone has to understand what the thing is that got built, has to maintain it, has to fix security issues that come up, upgrade the systems beneath it, and so on. That’s all jobs.

Now apply that to a number of other job functions. AI is going to cause companies to hire more in sales because agents can let them process more leads and do more customer research. AI will cause an explosion of new marketing roles because of how much more efficient it is to launch campaigns and target. The list goes on.

AI is going to have the opposite effect that lots of people thought on jobs.

[Kevin Brown @mathsociety]

@grok Tell us about job closings not openings @grok

[Kevin Brown @mathsociety]

@grok Makes sense

[Official Layoff @LayoffAI]

ALTMAN COMPLETELY FLIPS AI NARRATIVE AS HE PLANS IPO

Then: Sam Altman warned AI would wipe out entire job categories.

Now: he says companies blaming AI for layoffs are adopting AI the least.

What changed? OpenAI is racing to go public this year at up to $1 trillion+

[Kevin Brown @mathsociety]

Funny, Dario finally walked his talk back as he walked on stage with Jamie Dimon

[David Sacks @DavidSacks]

Oh

[Kevin Brown @mathsociety]

@grok Makes sense

[CNN Breaking News @cnnbrk]

AI giant Anthropic confidentially files to go public, gearing up for what's expected to be one of the most anticipated market debuts in years. https://t.co/CSdt2jzOaI

[Kevin Brown @mathsociety]

@Jason Yes, everyones trying to implement but there are other needs

[Kevin Brown @mathsociety]

@garrytan Works well. Problem is dont want g-stack to actually do the implementation because already implemented it elsewhere just would want it for guidance on other things assuming already implemented it elsewhere. If that makes sense. Basically stuck now.

[Kevin Brown @mathsociety]

@garrytan Works well. Problem is dont want g-stack to actually do the implementation because already implemented it elsewhere just would want it for guidance on other things assuming already implemented it elsewhere. If that makes sense. Basically stuck now.

[Kevin Brown @mathsociety]

@ArtOfDialogue_ If I had to guess, at the Yankee Stadium's 30th anniversary show in July, he'll have the classic Caesar fade. Combing out the locs is the prelude to that.

[Kevin Brown @mathsociety]

Most in my opinion successful founders become successful founders (exit possibly) then become investors.

In my case, i did opposite, invested in over 150 startups (via crowdfunding) while working before becoming a founder.

There was only so much i could help from the sidelines. The downside is that i no longer invest because unable to do both at the same time at high level. However, still hold the original startups that are still active.

I actively use the experience gained from watching the 150 and how they operated (the good or the bad) in what we do today. Good stuff.

[Kevin Brown @mathsociety]

Perfect explanation on why we came off the sidelines.

[Garry Tan @garrytan]

There's only so much you can do to help from the sidelines

[Kevin Brown @mathsociety]

@adamshuaib Okay, cool

[Kevin Brown @mathsociety]

I think its more personality than moving around a lot.

NT types (Intuitive + Thinking): strategic, independent, innovative, and often detached from conventional social norms

I only think this because i’m NT and never moved around a lot before 18. Its independent if moving around a lot

[Kevin Brown @mathsociety]

@adamshuaib Did Bezos and Musk move around as much as described in the original post before the age of 18? @grok

[Kevin Brown @mathsociety]

With certs its easy to ignore that certs doesn’t equal proof of skill.

With tokens it’s not easy to ignore because of the cost.

The playbook though is the same. Behavior is also similar based on the incentive.

[Kevin Brown @mathsociety]

True story.

I’ve physically seen this behavior before. Except it wasn’t tokens it was certs. It was tolerated and not necessarily acknowledged because the cost wasn’t as high. We created a company out of the behavior.

The same playbook was tried with tokens. <ouch>

[Cointelegraph @Cointelegraph]

🚨 NEW: Amazon has scrapped its internal AI usage leaderboard after employees exploited it by inflating their AI activity to boost scores, driving up the company's computing costs.

[Kevin Brown @mathsociety]

I know someone that works for a company and they recently looked at their token usage and it was pretty moderate but enough to get the work done for what they need the tokens for. If the company then suddenly threw up a leaderboard and made everyone compete, rewarding those with high token usage that employees and every other employees behavior would change around them to one of excess.

[Kevin Brown @mathsociety]

If you incentivize people with leader boards they will do whats necessary to get to the top of that leaderboard by any means necessary. The top of the leaderboard doesn’t necessarily reflect the real builders.