https://teapawt.org/t.co/h8xtEP2LPG | YC W20 | hopkins BCI & bioinformatics
New York, NY
Joined August 2017
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this datacenter bearish sentiment is foolish
mamdani has already broken ground on the first Data Mosque in NYC. all GPUs used are 100% halal certified
🤖 Made with AI
kevin joo retweeted
I'm excited to announce zdn: github.com/jonwalch/zdn
zdn is a command line tool that lets you easily create new private Zcash dev networks in your AWS account.
Try it out!
kevin joo retweeted
Congratulations to the Axiom team on this expansive undertaking.
at the same time here is my non tech friend
to this day there are people without personal websites or even notion users
but there are many with them too. wordpress, wix, shopify, squarespace, notion + fruition, on and on
tylers-cellar.tyler-huang-19…
this recent narrative as we reach flatter growth is missing the fact that the hype simply outran the adoption. but the adoption will come
future shape of harnesses/agents:
- research
- development
this is it. "coding agents" is not going to be a thing. you simply come up with higher order thoughts, spawn 10000 hypotheses, and throw it into an agentic framework that tests it
We are still so early in the adoption of research agents
Research agents are currently where coding agents were 12-18 months ago: most researchers only like giving agents individual, narrowly scoped tasks & model usage is dominated by a handful of closed, frontier models.
However, like coding, the landscape of autoresearch agents will change. Most researchers will soon let agents to explore lines of experimentation end-to-end and open-source models will become competitive alternatives.
Watch the the autoresearch revolution unfold at openresearch.sh/rankings
pretty soon, all coding agents and harnesses will just become research agents/harnesses
"plan mode" was the mvp
guy who was an AI bear for 3 years straight thinks he is winning today
-10% on a 100x is a 90x return. 100x if you hedged on obvious signs
being dogmatic is such a human trait and it is why traders lose money, every time
everyone who wants to get into the data selling/brokering/RL game needs to watch War Dogs
Three reasons why the data industry is dominated by young people (<28), even more so than other large AI markets:
1. We are at the beginning of a supercycle and young people are unburdened by priors of what durable equity value looks like
2. Young people have time and energy, and data is intense (part of what makes it hard)
3. AI researchers and adjacent lab employees also skew young, and these relationships matter a lot
broke: trying to join frontier lab for the money
woke: joining bc you know they'll turn off good model access and feed you scraps within a year
how do you justify $1T val with limited compute? better to solve millenium prizes or cancer than vibecoding
wake up babe new benchmark dropped
We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work.
At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated.
We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.