Edu

Be here now

[Edu @senatoredu]

@0interestrates This is the way

[Edu @senatoredu]

@litcapital https://t.co/adwpkTpW8q

[arian ghashghai @arian_ghashghai]

“Series M”

[Edu @senatoredu]

@Officially_Kriz True. Prefers staying out of the limelight, an unsung hero in the sector.

[Edu @senatoredu]

@alexeheath @nikesharora SaaS product’s UI stays, human interaction with UI drops, agent interaction with API/MCP increases (‘headless’), functionality improves, license model evolves

[Edu @senatoredu]

@kevinxu Talent attraction

[Edu @senatoredu]

@bradmenezes Spoke with members of your team weeks back. Interesting product and space.

Enterprise IT “Buy vs Build” decision will be something many CIOs will revisit

[Edu @senatoredu]

@MagSec_Ficent Doing very well bro. Indeed, we should catchup, trust you’re well too?

[NASA @NASA]

Sky full of stars.

Following a successful lunar flyby, the Artemis II astronauts captured this breathtaking photo of our galaxy, the Milky Way, on April 7, 2026.

[Edu @senatoredu]

“The reason golfers should try the face-on putting technique, also known as sidesaddle, is likely the same reason they typically won’t: optics. Face-on putting positions the golfer behind and just to the side of the ball...”

https://t.co/t5ZGmpTZhO

[Edu @senatoredu]

“Mythos has proved to be so capable at potentially dangerous things such as finding and exploiting software bugs that Anthropic has, at present, no plans to release it to the general public, said Logan Graham, the head of Anthropic’s Frontier Red Team”

https://t.co/SKd04sRmVS

[J.R.R. Tolkien @JRRTolkien]

“I wish it need not have happened in my time,” said Frodo.

“So do I,” said Gandalf, “and so do all who live to see such times. But that is not for them to decide. All we have to decide is what to do with the time that is given us.”

— J.R.R. Tolkien

[Edu @senatoredu]

@readswithravi a.k.a. mindfulness meditation

[Andrej Karpathy @karpathy]

I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over".

To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk.

That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented.

This brings me again to a tweet from a few days ago
"The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live.

TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.

[Edu @senatoredu]

@bcherny @altryne Interesting

[Edu @senatoredu]

@litcapital Series AA loading at this point

[Edu @senatoredu]

@GergelyOrosz 👍🏾

[Edu @senatoredu]

@GergelyOrosz Both will co-exist.

Vector-DBs: high throughput, very low latency, advanced search for frequently queried workloads

S3 Vectors: cost-sensitive, infrequently accessed, low-latency frequently accessed

S3 Vectors is positioned to complement Search/Vector-DBs

[Edu @senatoredu]

@0xAkvn Not wrong if architected properly.

In the context of k8s a ‘Deep’ Health Check is:

Good for readiness probe (if dependencies exist)

Bad for liveness probe

Good for Load Balancers (security rules can ensure only LB talks to pod and not users)

https://t.co/y6NWKk35Nd

[Edu @senatoredu]

@bchesky “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” Amara’s Law

[Edu @senatoredu]

@mitchellh @dhh ✋🏽🎤