a distributed compute framework for unstructured data that treats retrieval as a first class citizen - it feels like we're rebuilding the modern data warehouse using all ai native primitives. joins, clustering, retrieval, all using distributed compute/inference primitives.
you have no idea what you're talking about - every single country that experiences domestic terrorism relies on israeli intelligence for counter terrorism. almost all of europe, us, much of the middle east all have very active intelligence partnerships.
if you think it's one-sided you're either severely misinformed or bigoted.
Obviously I must be an anti-Semite if I don’t 150% support the politics of Israel and their brutality in the West Bank.
In reality though, I have completed 5 CENTCOM US military deployments. There are few people on HN more qualified to speak to the nature of US alliances in the region.
Israel is a terrorist state. I don't know how else you can call it. They have a state policy of terrorizing their neighbors in order to get them to leave their land and have for decades. The fact that they also help spy on our citizens for our government should not be a reason to support them.
in what universe is that happening? you think the world is safer with even a 10% likliehood of the world's largest terror network getting access to WMD? you're off your rocker.
The US over the past few decades and Russia over the past five years and Israel over the past year have inflicted quite a bit of terror, and they all have nuclear weapons.
None of them would have done it if their victims had them.
Iran's contribution to inflicting misery, death, and indiscriminate destruction on the world is a rounding error in comparison, and its bound by the same formula of MAD as anyone else is.
If it wasn't suicide and I was the big boss, I would get some nuclear subs for my irrelevant South American nation ASAP. The "rules based order" is just wet toilet paper, who's to say that in 50 years we or our neighbors aren't next?
Gringos have always been crazy, but now y'all are getting extra spicy. Qaddafi, Ukraine and now Iran. Get nukes or bust is the name of the game now.
Are you suggesting that states may bomb each other when they don't want to "take the risk" of the other state possibly carrying out a dangerous attack on them in the future?
Plus, the nuclear issue is the excuse, not the reason. Palestine, Lebanon, Syria (+ regime change, sorta), Iraq (+ regime change), Afghanistan and now Iran. All attacked repeatedly and extensively over the past two decades.
Super cool direction. Making agents first-class MCP servers feels like a natural next step—especially for scaling multi-agent coordination across infra boundaries. Curious how you’re handling observability at the server level—do you expose structured logs or telemetry for workflows running across agents? This could be huge for debugging large-scale agentic chains.
The nice thing about representing agents as MCP servers is we can leverage distributed tracing via OTEL to log multi-agent chains. Within the agent application, mcp-agent tracing follows the LLM semantic conventions from OpenTelemetry (https://opentelemetry.io/docs/specs/semconv/gen-ai/). For any MCP server that the agent uses, we propagate the trace context along.
If I had to guess they might see embedding models become small and optimised enough to the point that they can pull them into the DB layer as a feature instead of being something devs need to actively think about and build into their app.
Or it could just be an expansion to their cloud offering. In a lot of cases embedding models just need to be 'good enough' and cheap and/or convenient is a winning GTM approach.
> We firmly believe that the next generation of AI applications will be built on MongoDB, making it the ideal foundation for AI-driven systems.
I wonder about this. I've been working on ClickHouse support and cloud management for over 6 years. When I first started I thought we would focus on integrating ML workloads, pretty much like the quote above. Over that time maybe 2 customers asked about ML. Everyone else (like literally hundreds) wanted visualization and ability to load data fast. After a while, it began to become clear why this was so.
Databases tend to be chosen and operated by groups with very different skillsets from AI. They solve different problems. The workloads are completely different. AI depends on GPUs and often depends on datasets that are far beyond the storage capability of databases. Databases on the other hand optimize hardware for fast response, which means loads of RAM and fast I/O. When people used to ask me about our AI integration strategy, I would reply "fix bugs in Parquet." It's not a flip answer. It enables databases and AI services to use a single copy of source data. That's one example of how AI and databases actually interoperate in industrial deployments.
