jeeeb

Agree. Another consideration is that input token costs are effectively quadratic with the number of conversation turns. The minute you get into a long conversation you can see the costs shoot up.

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.

Grid scale batteries and household batteries are being widely deployed.

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).

I have T1 diabetes and wear a GCM so have a continuous view of my blood sugar levels. I also go to the gym and exercise otherwise.

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.

This is simultaneously amazing and horrifying.

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.

If anything, it’s a very conservative estimate. Short of a major turn of events it seems very unlikely Anthropic’s revenue growth is going to slow to zero.

I think the government should make the new 0% tax rate optional. Stores can either continue to collect 8% or drop the rate to 0%.

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.

Second/third generation children of Japanese immigrants to Brazil were historically given special visa access.

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

My guess is that it was an abuse filter over-keyed on OpenClaw pushing Claude to certain responses patterns.

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

I said the model has access to a web search tool. Of course it’s the harness that provides that access.

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

Knowledge cutoff is completely insufficient as an explanation.

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.

Is actually running the unit tests what is important here though?

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

It feels very much like Gemini’s writing style - overly excited with lots of unnecessary contrasts.

It is also a bit weird that they are not incorporating speculative decoding

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

These look like good results for a first model release. I’m hoping to see more, especially in the 30b parameter range.

Japan giving a security guarantee to Taiwan would be major news!

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.

If this was just about semiconductors then this would be a reasonable take but I doubt semi-conductors are anything more than a minor footnote in China’s strategic calculus vis-a-vis Taiwan.

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.

Looking through this guys GitHub he seems to have a lot of small “demo” apps, so I’m not surprised he gets a lot of value out of LLM tools.

Modern LLMs are amazing for writing small self contained tools/apps and adding isolated features to larger code bases, especially when the problem can be solved by composing existing open source libraries.

Where they fall flat is their lack of long term memory and inability to learn from mistakes and gain new insider knowledge/experience over time.

The other area they seem to fall flat is that they seem to rush to achieve their immediate goal and tick functional boxes without considering wider issues such as security, performance and maintainability. I suspect this is an artefact of the reinforcement learning process. It’s relatively easy to asses whether a functional outcome has been achieved, while assessing secondary outcomes (is this code secure, bug free, maintainable and performant) is much harder.

That feels like cargo-culting the toolchain instead of asking the uncomfortable question: why did it take a greenfield project to give Python the package manager behavior people clearly wanted for the last decade?

This feels like a very unfair take to me. Uv didn’t happen in isolation, and wasn’t the first alternative to pip. It’s built on a lot of hard work by the community to put the standards in place, through the PEP process, that make it possible.

What uv did was to bring it all together.

That’s 8th of June 2023 not 2025.. almost 2 years before Claude Code was released.

I remember evaluating Aider and Cursor side by side before Claude Code existed.

That’s what most languages, including Java do.

The problem the OP is pointing out is that some programmers are incompetent and do string concatenation anyway. A mistake which if anything is even easier in Python thanks to string interpolation.

The idea in Java is to let the JIT optimise away the logging code.

This is more flexible as it still allows runtime configuration of the logging level.

The OP is simply pointing that some programmers are incompetent and call the trace function incorrectly.

I really hate all the AI filters in videos. It makes everyone look like fake humans. I find it hard to believe that anyone would actually prefer this.

Couldn’t you say the exact same about the human mind though?

Also the worlds most popular web browsers

Superannuation is not a tax. It’s a compulsory retirement saving/investment scheme.

However to calculate total income taxes you do need to include the 15% tax on superannuation contributions.

If your pre-tax take home salary is $100k AUD, then your total salary package is 111.5k including the 11.5% compulsory employer superannuation contribution.

You’ll pay regular income taxes + 2% Medicare levy on $100k and your $11.5k super contribution will be taxed at 15%.

So your total income tax including the Medicare levy (but assuming you don’t pay the Medicare surcharge or claim any deductions) will be $24,513. Giving an effective tax rate of 20.2%

There are no state or local income taxes in Australia so that’s it for personal income taxes. However states do charge payroll tax on most companies payroll (e.g. 4.85% on annual payroll over $1M in the state of Victoria for companies in the Melbourne metro area).

At least in the systems I’ve experienced (Australia and Japan). You can just go to another doctor.

There’s no “insurance networks” and no visitation limits. You can go to _any_ doctor nationwide.

I’d be curious to know where you had that experience and what the limits are on finding a different doctor ..

Ummm no… This is total fantasy.

Takaichi is a slightly right of centre nationalist. Pushing a mild tightening of some immigration rules to maintain the social contract around immigration, and fend off the right wing populists. Her policies amount to things like tightening foreign land ownership rules and refusing visa renewals for people not paying their health insurance or pension (which is mandatory by law for all residents).

She’s had friendly relations with SK so far and recently met with the SK President and bowed in respect to the Korean flag.

Her “provocation” of China was to state, when asked in parliament, that an armed invasion of Taiwan by China would be a case of a potential existential threat to Japan.

Which frankly is utterly obvious to anyone, including of course China. Japan hosts American military bases. If China attacked Taiwan, triggering an American repose then there would at the least be Chinese missiles aiming for Tokyo (Yokosuka) and Okinawa.

Roblox apparently was at risk of being banned but worked with the government to implement extra controls

I just wanted to say I had exactly the same experience this month.

I was diagnosed with LADA type 1 diabetes. First in my family to have it.

My immediate reaction was wanting to put together something to track my diet, blood glucose weight and so on.

Thank you for sharing your experience.

After comparing Gemini Pro and Claude Sonnet 3.7 coding answers side by side a few times, I decided to cancel my Anthropic subscription and just stick to Gemini.