pphysch

And some people win the first tournament they attend. Again, flubbing your first tournament is much less persistent than flubbing a product release. Significantly different risk profiles.

I also don't see a strong link between training at a competitive activity, and releasing a product. Obviously, training against real opponents is crucial.

But the world is full of half-baked products, especially software. If you show up to your first tournament and lose pathetically in the first round, no one is going to prevent you from attending the second tournament. But people will permanently write off your product if it is half-baked. Or even if your product is good but the release process is half-baked.

Bad software, as in stateless programs, doesn't actually matter and never did. They can be replaced trivially.

The problem is the real world isn't made of stateless programs, but lots of important data in bespoke formats/schemas, and if you change the shitty software that interacts with the important data, in the wrong way, you can lose everything.

I believe I first deployed VictoriaMetrics almost 5 years ago and have had zero regrets. Was also evaluating Thanos and InfluxDB at the time.

The lead dev is super passionate about straightforward software that just works, and it shows.

Later my coworker deployed VictoriaLogs in about 15 minutes, added it to our syslog targets. Night and day compared to Elastic. Use both of them probably every day through Grafana.

OAI/Anthropic shareholder? Speed and intelligence are not "every way". Cost is essential. Hence the Pareto boundary illustrated in TFA.

Are you implying that getting $MEGASaaS to implement a feature for you is faster than doing it in-house? Because that is absolutely not the norm.

Yes, Grafana seems to be the best free querying frontend across multiple data sources right now. But each Victoria product has its own built-in query GUI as well.

There is, it's called VictoriaMetrics/Logs/Traces.

https://victoriametrics.com/

Assuming they (and militaries broadly) do this +more, like actually using vision models trained on billions of geolocated landscape photos.

Installing & maintaining a Postgres extension is vastly, vastly simpler than running Elasticsearch and Kafka. Like, how could you even compare these things if you know what you are talking about?

Or maybe you are looking at it from "just swipe your credit card at AWS" perspective, in which case "just use Postgres" articles are for a different audience.

Anyone resisting ethnic cleansing is a "terrorist", and so is anyone that happens to be standing next to them, as well as their nearest kin. We know the playbook.

This is a wiki article about something that allegedly took place over 2 decades ago.

Still waiting.

IIRC the first or second chapter of Bernays' Propaganda (1928) talks about sophisticated influence campaigns in the fashion industry. Conscripting "influencers" to induce demand, and so on. As you said, literally 100 years ago.

Chinese solar was a big deal globally long before Trump's Iran blunder

Again: identifying possible solutions to a problem is not "solving" the problem.

Not everyone is going to school for engineering.

Ideally, but this is not at all taught or incentivized in (American) schools. We're taught to "hack it" which means getting to a solution without much regard for how we got there.

I wonder if it was (ironically) coined by nonengineers who don't understand how engineers (or other high-stakes professionals at Pareto boundaries) solve problems: by decomposing problems and identifying optional solutions and weighing the solutions based on various risks, trade-offs and tolerances.

I have seen this personally, where merely identifying a possible solution (harmless, reversible) is misinterpreted as selecting and implementing that solution (may be irreversible).

Was the original concept generated by Claude somehow? It gives me Claude UI vibes with all the extraneous small-caps text elements.

Something definitely was lost with the addition of ranked ladders and global skill-based matchmaking systems. It was quite a long time, maybe 10y, before TF2 even got one.

And yet it had a healthy, if unhyped, competitive scene long before that.

This is a step in the right direction. Everyone hates public surveillance until they become the victim of a crime, but it's critical that the surveillance is owned and controlled fully on an appropriate level.

You should fully own and control your home security cameras. Right now many homeowners are shipping their data to national datacenters.

Municipalities should fully own and control their public security cameras, on municipal datacenter resources.

Data sharing / federation should always be intentional and time-bound. It should be impossible for a small town cop to unilaterally access security records from a random city he has no jurisdiction in.

No!! That is the Front of Pareto[1], a totally different group. Our Pareto Front only causes 20% of the casualties.

[1] - http://montypython.50webs.com/scripts/Life_of_Brian/8.htm

Yes, thanks. Corrected.

The core tradeoff here is "Push vs. Pull". Webhooks are a model for pushing data to subscribers. A traditional API allows clients to request and pull data. The data flow is in the same direction, but control flow is opposite.

Pull-oriented models are much easier to reason about and should be preferred where possible (cybernetically they are a closed loop, vs. push models which could literally just be a barrage of UDP packets). But they do have a little bit of overhead which makes them the wrong tool for some cases, like live-streamed entertainment or massive telemetry flows which value performance (latency, throughput) over missing a few packets.

Why? Science is wildly unprofitable on the scale of an individual private firm.

Right. What about the scientific hardware (instruments, sensors, robotics)? Partnerships with existing research institutions? Dealing with restricted data?

Modernizing science is a lot more complicated than just optimizing the inner experimental loop, but their hiring page implies it's a pure ML lab focused mainly on model development.

It is a fact that Kushner (plus Witkoff) has been playing the role of primary diplomat of the USA in critical matters of peace and war. In many cases, Rubio is not even present at these key foreign meetings.

This comment might hold water in 2006 or 2016 but it rings hollow in 2026. Who elected/congressionally-approved Jared Kushner to run US foreign policy?

> The goal of ClickHouse Labs is to establish a best-in-class industry research organization focused on databases. It will not operate as an isolated research organization that throws ideas over the wall to engineering. Instead, we will work closely with ClickHouse engineers, customers, collaborators, and industry partners to develop and disseminate new ideas that keep ClickHouse at the bleeding edge.

This is cool, though bittersweet that the public research infrastructure (universities) is not really configured to support this kind of high-impact research any more.

I think it comes down to some people having a strong aesthetic aversion to imperative programming and the practical value of side effects (including exception bubbling), often manifesting in vain attempts to write 'perfect code'.