coeneedell

They should get paid. The press should pay them. The college pays the press. The students pay the college. The press releases information for free.

https://en.wikipedia.org/wiki/Decline_in_insect_populations?...

Um I’m pretty sure that’s not the only evidence for insect population declines.

I’m gonna need a more detailed argument than that.

I have the right not to sell poison to someone who I have reason to believe will use it to kill a third party. The idea of simply trusting the patron to be responsible makes sense when the patron is anonymous or a new contact. It’s generally good to assume good intentions in the absence of evidence, I think. If the government is not anonymous enough to get this treatment.

Violating the laws of our country while being in a position of public trust reaches a higher standard than “politicians I don’t like” IMHO.

I don’t see how you can make this claim when the budget balance at universities is extremely tilted towards stem. The budget for the kind of programs you seem to be complaining about come out to percents. Hard to say universities are “more interested” in very very small parts of their budget. What is happening now though is the federal government holds back billions of dollars in medical research grants, punishing, in some cases even killing patients, over “ideological” issues.

Then you’re not paying attention. The US is currently experiencing the largest wave of mass protests in its history. The corporate media is simply ignoring it. Practically every trump administration action has triggered nation-wide protests.

https://ash.harvard.edu/programs/crowd-counting-consortium/

You made a throwaway account to say this?

Yeah I see now I was mixing techniques in two sections of that document

I haven’t really had this issue. UV’s recommendation is to mount the uv.lock and install those manages package versions to the container’s global pip environment. We haven’t had much issue at my work, where we use this to auto-manage python developer’s execution environments at scale.

“Agents that extract the data” Are we really reinventing data frame readers to have an LLM in the critical path?

Do you measure your results in a repeatable way? In a way where your hypotheses about accuracy are falsifiable? Or do they just “feel” right?

It’s basically impossible to make a career as a scientist these days without constantly promoting yourself and your work unfortunately. It’s very tiring and makes it difficult to focus on science. This is one of the reasons I changed careers.

What do pilots use them for?

IIRC the rules system for magic the gathering: Arena is generated by a sort of compiler fed the rules. You might not even need a modern coding assistant to build out something reasonable in a DSL that is perfect, then have people (or an LLM after fine tuning) transforms rule books into the DSL.

I think you misunderstood my answer. There is established research showing that deepfake detection models transfer learning within architectures.

There are three observations that are helpful to know about here: A: High quality, battle tested architectures are sold via an API and samples are therefore easy to retrieve at scale. B: lower quality, novel architectures are often published on GitHub and can be scaled on budget compute resources. C: Often these models perform well at classifying content generated by architectures similar to those they were trained on, even if that architecture is not identical.

As for actual lead time associated with our actual strategy, that’s probably not something I can talk about publicly. I can say I’m working on making it happen faster.

This is definitely a concern, but this is more or less how the cybersecurity space already works. Having dedicated researchers and a good business model helps a lot for keeping detectors like RD on the forefront of capabilities.

LeBron James still knows more about how to play basketball than whoever is in the mech suit opposite him.

Really difficult to argue that “both sides are equally to blame for the bad discourse” when one side had a mob of terrorists storm the capitol (then pardoned all of them) and the other side held up tiny signs during a speech.

This is a chicken-egg problem. Those cities became tier 1 cities over time because of their proactive public transit strategies.

I attended this talk in person and some context is needed. He was invited for the “test of time” talk series. This explains the historical part of the talk. I think his general persona and association with ai led to the fluffy speculation at the end.

I notice with Ilya he wants to talk about these out there speculative topics but defends himself with statements like “I’m not saying when or how just that it will happen” which makes his arguments impossible to address. Stuff like this openly invites the crazies to to interact with him, as seen with the cryptocurrency question at the end.

Right before this was a talk reviewing the impact of GANs that stayed on topic for the conference session throughout.

At the moment I’m working on a system to quickly replicate academic deep learning repos (papers) at scale. At least Amazon has a catalogue of prebuilt containers with cuda/pytorch combos. I still occasionally have an issue where the container works on my 3090 test bench but not on the T4 cloud node…

Ugh… docker containers. I also wish there was a simpler way but I don’t think there is.

These samples are terrible when compared to commercially released models like from eleven labs or playht. This is an extension of an interesting architecture but currently those more traditionally based models are way more convincing.

Counter counter point: apples hardware division has been doing great work in the last 5 years, it’s their software that seems to have gone off the rails (in my opinion).

I would describe those issues as technical. It’s genuinely getting things wrong because the “safety” element was implemented poorly.

YouTuber yes, Teenager no. Drake has been working with lasers for more than a decade and pursued a PhD on the subject.

This problem with Linux is pretty much gone and has been for a couple years now.

We have already banned robotic arms in this case. It’s illegal to make a robot that mass manufactures someone else’s IP. It’s considered copyright infringement and is a well trodden law, the introduction of a machine in the middle doesn’t magically launder the copyright infringement.