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“While Silicon Valley is investing tens of billions of dollars chasing the AGI dream, academic computing research in the U.S. is facing a severe drought.”

This really adds to some of the anecdotes I’ve heard regarding the competitiveness of the CS academic track now.

Getting the data model right is key to getting the product right, and I wholeheartedly agree with it. Great examples to show in product meetings.

• https://antropia.studio/blog/to-ai-or-not-to-ai/

Insightful notes on the use of AI in coding, in a nutshell, own the code and look for (high gradient) opportunities.

An opinion piece on good API design, has some good points and takeaways. Good reading material for juniors.

An opinion piece about using tags in log entries for better categorisation. Maybe it makes sense but I would personally argue that structuring the log channels is the key. Channel, then level, then tags.

“SNSで被害を訴えた方や、その思いを応援した人を責める“犬笛”” おっしゃる通り。この発言は暴行事件によって「球児の夏」を始まる前に終わらされた被害者ではなく、件の暴行の加害者の側に立っていることは明らか

この人、OSSをsource codeからcompileする「安全」を否定する公式ストア強制の危険性については何も考えてなさそう

Why is it that we craft our work so AI can understand but we do not do so for people?

It’s like we have an expectation people should put forth the effort to understand, but AI has hard limitations, so we have to take extra steps for AI but can be lazy for others.

But what they cannot do is maintain clear mental models.

LLMs get endlessly confused: they assume the code they wrote actually works; when test fail, they are left guessing as to whether to fix the code or the tests; and when it gets frustrating, they just delete the whole lot and start over.

This is exactly the opposite of what I am looking for.

I believe that language models aren’t world models. It’s a weak claim — I’m not saying they’re useless, or that we’re done milking them. It’s also a fuzzy-sounding claim — with its trillion weights, who can prove that there’s something an LLM isn’t a model of?

読解力に関する統計の問題は根深く、GHQによる1948年の調査からずっと全国的調査は行われていないんですよね https://rmr.ninjal.ac.jp/materials/fo0161/