CEO and Co-Founder at @cribl_io.

Oakland, CA
Joined March 2007
Include

Only show posts containing:

Exclude

Hide posts containing:

Time range
-
Minimum likes
Replying to @JeremyMorrell
Yes, this is the future.
1
162
So long as it doesn't have to go fast
118
Yesterday we released cribl-decision-1.0. This is our first crack at a Jev-style decision model. Obviously, we're seeing these crop up everywhere, but we have a very focused market: Telemetry. I think this highlights the pattern we'll see continue, which is a proliferation of models fine-tuned for specific domains. Cribl has over 1500 customers, many processing data at gigabytes per second. Latency and cost are paramount, and we will continue to enhance our models for processing telemetry, which is the highest volume and highest variability data in the world.
Introducing cribl-decision-1.0! Every telemetry event is a decision: where to route it, how to enrich it, and what needs attention. Today, we're releasing a 4B parameter, open-weight model that returns probabilities for your supplied choices in a single forward pass - a foundation for bringing AI decisions into telemetry pipelines. The weights are available on huggingface: huggingface.co/cribl-ai/crib… Read more: cribl.io/blog/cribl-decision…
3
6
23
1,720
X seems to all be conspiracy theories these days. Random accounts pushing impossible theories. I wish I could just see the AI shit that’s actually happening rather than a bunch of randos prognosticating.
3
236
Replying to @lizwessel
Had a terrible experience with their support.
200
Replying to @adamhjk
Frankfurt. Do not recommend. Took 3 hours 10 minutes to clear immigration.
1
24
Replying to @arifj
Frankfurt
1
49
Now on hour 3. This is fucking ludicrous.
4
1
286
I’m honestly considering just not coming back to Europe. I’ve been waiting an hour and we haven’t even moved. Every time I’ve come over the last few years it’s been like this. Just not worth it.
1
2
550
Finally Gen X gets a win
AI led to big employment boost for mid-career execs (35-40, 41-49), losses for Early Career (22-25), near 5 year highs for unemployment for recent college grads per @wsj
1
366
Thanks to @united for another @Starlink flight. And thank god because there is not a movie worth watching. It seems like Elon must be getting all their money because they aren’t spending it on movies.
1
8
415
Replying to @adamhjk
I admit I’m a bit surprised because I saw this news and I just don’t grok it. Help appreciated with how you’re using it.
2
145
I thought this was the best analogy I’ve seen, and he called it three years ago. It’s possible Dario, Sama, Elon, etc believe we need to slow development of AI because they can see things in their labs we cannot. Certainly the Chinese are not going to agree to pace their development. I think David Sacks was spot on. They don’t need anybody’s permission to slow down. They don’t need to have a new regulatory authority make them. They could just do it. Instead, it looks an awful lot like regulatory capture. For companies like mine, much smaller, it’s terrifying there might be a governmental or even industry authority I need to certify our work before we can even ship. As many others have said I think the real story is open models are eating into their growth and the charts they need to show exponential growth have started to bend flatter and they need regulatory capture to lock in their oligopoly. For our users and customers, our experience is the level of intelligence they need for telemetry use cases can be done for pennies on the dollar compared to the boutique token company’s models. It’s an exciting future. Jevons paradox reigns supreme. Lowering the cost of tokens is going to open up so much demand for intelligence. The future is extremely bright, presuming we don’t allow the Baptists or the Bootleggers to lock us out of our path to the market.
Replying to @pmarca
The Baptists And Bootleggers Of AI Economists have observed a longstanding pattern in reform movements of this kind. The actors within movements like these fall into two categories – “Baptists” and “Bootleggers” – drawing on the historical example of the prohibition of alcohol in the United States in the 1920’s: “Baptists” are the true believer social reformers who legitimately feel – deeply and emotionally, if not rationally – that new restrictions, regulations, and laws are required to prevent societal disaster. For alcohol prohibition, these actors were often literally devout Christians who felt that alcohol was destroying the moral fabric of society. For AI risk, these actors are true believers that AI presents one or another existential risks – strap them to a polygraph, they really mean it. “Bootleggers” are the self-interested opportunists who stand to financially profit by the imposition of new restrictions, regulations, and laws that insulate them from competitors. For alcohol prohibition, these were the literal bootleggers who made a fortune selling illicit alcohol to Americans when legitimate alcohol sales were banned. For AI risk, these are CEOs who stand to make more money if regulatory barriers are erected that form a cartel of government-blessed AI vendors protected from new startup and open source competition – the software version of “too big to fail” banks. A cynic would suggest that some of the apparent Baptists are also Bootleggers – specifically the ones paid to attack AI by their universities, think tanks, activist groups, and media outlets. If you are paid a salary or receive grants to foster AI panic…you are probably a Bootlegger. The problem with the Bootleggers is that they win. The Baptists are naive ideologues, the Bootleggers are cynical operators, and so the result of reform movements like these is often that the Bootleggers get what they want – regulatory capture, insulation from competition, the formation of a cartel – and the Baptists are left wondering where their drive for social improvement went so wrong. We just lived through a stunning example of this – banking reform after the 2008 global financial crisis. The Baptists told us that we needed new laws and regulations to break up the “too big to fail” banks to prevent such a crisis from ever happening again. So Congress passed the Dodd-Frank Act of 2010, which was marketed as satisfying the Baptists’ goal, but in reality was coopted by the Bootleggers – the big banks. The result is that the same banks that were “too big to fail” in 2008 are much, much larger now. So in practice, even when the Baptists are genuine – and even when the Baptists are right – they are used as cover by manipulative and venal Bootleggers to benefit themselves. And this is what is happening in the drive for AI regulation right now. However, it isn’t sufficient to simply identify the actors and impugn their motives. We should consider the arguments of both the Baptists and the Bootleggers on their merits.
1
3
26
1,360
Replying to @kfirgollan
Mostly for the last few months I’ve been building apps on top of the product that showcase the power of the product. For the last few weeks I’ve been building something I plan to ship and transition to engineering to run in perpetuity.
1
1
34
How quickly the future becomes the new norm. I'm annoyed that my AI Agent, which I can reach in under 30ms due to the excellent Starlink on my flight, which has generated essentially 3 person months worth of software in the last 24 hours, won't work faster.
2
5
455
Replying to @rough__sea
I have a use case. I have implemented a coding harness that runs in the isolate, with an emulated filesystem persisted in SQLite. I build React Apps with esbuild, preview them in the browser. Works great, except for a few missing things like npm, eslint, etc. Would be awesome if I could burst out to containers which just run a single tool and report back but still have those containers maintained by celld.
1
163
Me too. It’s awesome. Great foundation for long running agent sessions.
176
Replying to @lmeyerov
the results are at secitbench.cribl.io. @nmungel can comment on what we are releasing other than the results I know there’s been a lot of discussion. Some concerns around models training on these datasets etc so don’t know where we landed.
1
1
50
Replying to @lmeyerov
I didn’t do the work but I’ll ask around about it. I’ve been using pi in my projects.
1
1
27