Ohh. Maybe Vance wasn’t thankful enough. Did he say thanks?

Or maybe the US was trying to be a tough guy. Maybe they need to not be so tough and just make a deal.

(not that I’m putting forward the Iranian regime as ‘good people’, just observing that the US started this and are being at least as dickish as Iran - who fairly want some reparations for an illegal attack)

In New Zealand, there is a provision in the copyright law that handily makes having a copy legal, while also making it impractical for most people.

Prior to the addition of the format-shifting provision, making a copy was always illegal (eg that recording on your VCR was illegal). Adding the provision made it legal, but subtly also not generally useful.

The format-shifting exception allows the owner of the physical media to make a copy themselves, for their own use. If they transfer ownership of the physical media they must destroy the copy (they can’t even pass on the convenience to the next owner).

Since making copies is more technical than is practical for the masses, most cannot take advantage of the provision - and that’s the way copyright owners like it.

Personally, I don’t believe in bunnies made of marshmallow living on the moon.

Absolutely. It is not thinking in the same way we do.

Putting aside the planning orchestrator and focusing just on the LLM.

• Input tokens - context + prompt
• Output tokens - the best matches to the statistical model for your inputs

The agent can do this in stages to try and decide what the complete set of input tokens should be, and at what point to stop trying to get more output tokens.

You can use the orchestrator approach to then try to get other models to validate the outcome and refine it - but it’s all just prodding the statistical model.

This talk was interesting. I’m a lot less enthusiastic on the topic than the speaker… but this is closer to how I think the industry can see a net gain from AI - before the slop-errors from taking expertise out of the loop hits critical mass.

A conversation/collaboration… not really.

You can create a ‘swarm’ of agents with differing roles, define different roles and phases, to have it iterate on a problem.

1. Investigations to discover and provide a condensed context of discoveries
2. Use this to propose a plan
3. Some number of iterations of one or more reviewing agents (you can give each an area of focus) criticising the plan, one or more agents to propose improvements based on the reviews, and an agent to review and apply the proposals before the next iteration

Groups of agents of the same role, operating in parallel, should ideally be using different models (or have context that gives them differing goals - eg focused on maintainable abstractions, security, scalability, test case identification, etc).

The implementation can do a similar thing - a code generator followed by reviewers, proposals for action, and then apply improvements… and you can iterate on testing or benchmarking too, all before hand-over.

This can improve results (at a non-trivial cost sometimes, so budgets are important) and it will still miss sometimes. You can help it of course with hints, directions or even implementations or stubs of implementations of abstractions you expect.

Yep in freedom units we’re seeing 91 octane at $6.50 a gallon in NZ

Never. Seen. Before.

So bigger than nukes? Because that’s been done already.

Presented to 1dp in million km², I’m not sure how much Oceania could practically change.

New Zealand only has 0.26M km² and some of that can’t be forested. A lot of Australia can’t be forested without a few (quite a few?) generations of crazy effort and some handy scientific breakthroughs.

I wonder if it would be more useful to have it shown as a percentage change as well as an absolute change (depending on the source data of course).

eg

• North America 🟢 1.3% / 0.1 km²
• South America 🔴 -17.5% / -1.8M km²
• …

I’m uncertain of the weather dynamics and the effects on atmospheric-water movements, but maybe Northern and Southern Hemisphere totals would be useful too.

Regardless. Sobering numbers in a long list of sobering numbers

(arguably, after looking at such numbers for years, and seeing no sign of an en masse shift in policy and behaviour, maybe not so sober)

Shh. Don’t let the current NZ government hear. They’ll want to bring zero-hour contracts back… Anything hurting this many workers is likely to be very popular with their donors.

Two comments pointing in a pixelated direction… Gotta be something to that…

Thanks.

I thought the pre-election debate was bad enough for that… but it made no difference to the result (at least not in the right direction).

This is possibly the first US President where lies-per-minute might be a useful metric.

Why would you watch it, when you can get an itemised list of the lies later anyway.

Multiple browsers and devices, logged in or not.

All working for me now.

Fixed! Cheers

The url is just the url above.

That one works. I see a similar screen for a bit and then it loads the posts (and I’ve never been there before)

For Lemmy.NZ I don’t see anything except the You are not a Bot. Ironic given my profile

Yeah. I can’t seem to get to http://lemmy.nz/ from my fibre in normal or private tabs on Firefox or chrome, desktop or mobile.

Mobile data works… And if I connect first with mobile in Firefox (non private) and then again on fibre it works (fingerprinting or some other state perhaps).

But for now, on desktop I seem to be blocked.

Waaaiiit. Is this thread the joke?

It’s not a big step to my study and decent sized displays. I don’t watch much on the phone of any real duration… It’s just not the same. And a fair bit of the casual watching is technical material - tiny screen sucks for that.

And then the big screen for watching movies together.

Partly I wonder if it’s just because some people like to watch the world burn…