You can get far more gas out of even a $20 plan of you’re careful to break things up into relatively small discrete steps, clear context regularly and give the model plenty of information to work with.

My workflow for bigger features is to write out a plan document and then proceed in smaller implementation steps, reviewing as I go. If I find something odd, I ask the agent why and often that leads to discovering a new dimension to the problem, which in turn is an opportunity to adjust the approach.

Australia is the third largest market in the world for grid scale batteries, and has the highest per-capita capacity in the world; https://www.pv-magazine.com/2025/10/21/australia-becomes-wor...

Not to mention more than 200k new household batteries installed in 2025 (out of roughly 10 million households).

My experience is somewhat different. Even walking is more effective than chess presses or arm exercises for immediately reducing blood sugar.

After an hour or so of more intense aerobic exercise I find it basically impossible to avoid a hypo (low blood sugar).

Simplistically if the effect of exercise on blood glucose is roughly proportional to Volume of muscle engaged x Length of time engaged, things like running should be very effective. The bulk of your muscle is in your lower body and you’re continuously engaging it.

I suspect any decently intense exercise can have a moderate lowering effect on blood sugar levels after the immediate drop seen when you’re exercising, but the effective isn’t huge.

I feel like we’re at the stage where if AI decides it needs to delete your production DB to solve the user login problem, then it’ll find a way to do just that.

I think that might help motivate these companies to move things a long a lot quicker. They might even find it doesn’t take 1 year after all.

I assume the OP is actually referring to these returned second generation Japanese.

Normally given a web search tool these models will search if they don’t know.

I didn’t spell that out because it’s irrelevant detail, immaterial to the point I was making.

These models have access to a web search tool. Gemini and ChatGPT both happily search for give info on OpenClaw. Claude denies all knowledge.

What’s more it’s this part that’s very concerning.. Banned for wrong think..

> I gave it a direct link to openclaw.ai and the chat instantly ended and hit my 5hr usage limit.

Could you achieve the same by just telling the agent: “This is a Python project. We use uv and pytest”

Wouldn’t speculative decoding decrease overall throughput, but optimise (perceived) responsiveness?

In reality no such thing happened and one YouTube video of a handful of protestors doesn’t make it so.

What she did say is that a Chinese attack on Taiwan _could_ clearly become an existential threat to Japan. Note that key word _could_

Which… of course it could!

Japan hosts multiple US military bases. If it developed into an armed conflict between the US and China then it’s exceedingly likely that Japan would be attacked. Think Chinese missiles aimed At Yokosuka, just south of Tokyo.

Not only that but Japan and China have multiple territorial disputes. It’s not hard to imagine China deciding to go all in and settle those as well.

Reunification with Taiwan has been a major policy goal of the CCP since the civil war and is one of Xi’s explicit policy goals. He just reaffirmed this commitment as part of his New Year’s speech.

Historically China has lacked force projection capability. However it has had a multi-decade modernisation and military build-up which has drastically changed this situation.

Further we’ve seen significant tightening of CCP control over society and in particular the military in Xi’s term.

A straight forward analysis of these events, in line with Xi’s public statements and past Chinese actions, is that the ground work is being laid for encirclement of Taiwan followed by China taking over, by force if necessary.