Miles Brundage
@Miles_Brundage ·
I don’t endorse the implication here at all but I do love a cheeky backronym
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Elon Musk@elonmusk ·
Grok Imagine
- Miles Brundage
@Miles_Brundage ·
Something I think about from time to time is that even though language model tokens have gotten way cheaper, they were pretty cheap relative to “human tokens” from day one
This is a big part of why adoption took off so quickly compared to other technologies - it was born cheap
Peter Yang@petergyang ·
Other hiring practices that need to change:
1. Filtering candidates based on years of experience or some company name
2. Prioritizing resumes and cover letters over proof of work and real projects
3. Listing number of people managed as an accomplishment by itself
4. Endless rounds of interviews over short work trials
I could go on.
lauren@poteto ·
i bought a new domain too
- Peter Yang
@petergyang ·
Wow instinct is at $30B in a year so naturally it must mean at least $3 trillion market cap in 10 years based on this tweet.
Truly wealth creation is heavily skewed towards the private markets.
(Instinct is a good product, but this tweet is…)
Derya Unutmaz, MD@DeryaTR_ ·
Thrilled to be accepted to @GoogleDeepMind’s Antigravity Science Program for the next 6 months!🚀
I believe Gemini Argon is now at the frontier of AI for biomedical science & I’m building exciting new biomed apps with Antigravity!
Let the next offensive against disease begin!🧬
- Peter Yang
@petergyang ·
If you’re going to make videos about some made-up ARR then just be a satirical media company.
I’d respect that.
Aaron Levie@levie ·
This is correct. The vast majority of enterprise workflows have not actually had agents applied to them in any meaningful way. The economy probably has this deployed < 1% right now.
At best you have a few automated systems in a company that do a single pass of an LLM to make a decision or provide feedback, but very little real “automation”. Some of this is a statement about the adoption rates of technology in enterprises, but the vast majority of it is really just due to the capability of AI itself.
That’s all changing. Now with computer use, long running agents, harness improvements and surrounding infrastructure, we’re finally at a point where we can start to apply agents at more complex workflows.
We will see self-improving systems that can take any particular workflow goal and improve the execution rates over a volume of instances. And with the emerging form factor of agent swarms, you can just choose to deploy any amount of compute at a problem and agents will off and do the work.
This won’t be about and users prompting agents to complete a specific task for them, but instead the organization reengineering the underlying workflows to take advantage of agents in their processes. This will have a massive impact in finance, life sciences, healthcare, and other information-heavy domains. Lots of opportunity to build and deploy these systems right now.
Wes Bos@wesbos ·
Take notes if you are creating a swag box, Ashley and team know how to curate some really nice items that will actually be used
dax@thdxr ·
there's few people betting on opensource models more than us
but it's important to be realistic about where they are and the demand for them
there's a big gap still. they are fulfilling an interesting spot in the market but too many people are acting like they're on the verge of killing frontier
Alexandr Wang@alexandr_wang ·
the muse <> instagram integration is awesome, and only going to get better!!
we have more fun things planned here, excited for you all to try it
- Miles Brundage
@Miles_Brundage ·
Mathematicians question the “shepherding” approach (giving the results to a small group of physicists to deal with)
Joshua Achiam@jachiam0 ·
real ones remember the first Obama Cheesecake Slam
- dax
@thdxr ·
something useful to remember esp in times of change like this is when people make predictions they are not making predictions
they are praying
- dax
@thdxr ·
it's getting close to 2 years of coding agents being a thing
looking back on that time the majority of discussion on here on where they're going, what's cutting edge, what matters has been primarily wrong
you had to actively ignore what was going on here to win in this space
Tibo@thsottiaux ·
https://www.poteto.com has landed
Daniel San@dani_avila7 ·
CLAUDE_CODE_EVEN_MORE_DANGEROUSLY_SKIP_PERMISSIONS=1
Yep, it’s real… I needed this one, and I’ll definitely use this flag
Theo - t3.gg@theo ·
For reference: worst 3 videos of my last 10 were about token costs.
Devs don't care about token spend as much as you all think
- Theo - t3.gg
@theo ·
What if fast mode felt faster?
kache@yacineMTB ·
If I don't become a YouTuber, I am genuinely not going to have a job in 5 years
Thor 雷神 ⚡️@thorwebdev ·
Mexico City 🇲🇽💔 I really do like you, but the amount of time wasted in traffic here is insanity! 😵
Marc Lou@marclou ·
They fixed it in 6 hours! 👏
Joshua Saxe@joshua_saxe ·
We need an equally memetic response video hyping nuanced thinking
- kache
@yacineMTB ·
Having kids was like a nuclear bomb going off for my career progression and I don't really care in the slightest
- kache
@yacineMTB ·
I don't think AI research or software engineering gets automated any time in a similar manner to mathematics soon. Like maybe more than a year out from that
There is just so much to it that.. depends. Like, they are tasks where understanding what you want is the bottleneck
- Miles Brundage
@Miles_Brundage ·
Still don’t think most people are aware of the fact that Hacktron could have taken images from *any* Slacks, not just OpenAI’s, a few months back
- kache
@yacineMTB ·
The best language models are complete dogshit. I can still push them to their limits. I'm so tired of how fucking bad they are
- kache
@yacineMTB ·
I don't understand how AI can be so bad at programming yet be so good at math
- kache
@yacineMTB ·
Seems extremely bad but also. If you hire people, human beings, you've been pwnd