anabis

Main car of anime Initial-D is a Toyota. They revived it a while back. So they are doing that kind of aesthetic.

Those kinds of in-place intense rewrites or ports of production software , assisted by AI probably is going on in other companies as well. High-value, verifiable. Too bad this article didn't get much attention. Not everything is applicable to others, but valuable lessons, even if part of it is AI writtern (doesn't feel like it)

Strange thought experiments are fine, but I think you should first try giving AIs God (ideal to strive for, and belief that you will ultimately be judged and be saved accordingly, and that is NOT the "scorer") and conscience (use your intelligence to reason what being "good" means. Continuously update). Those are not precisely defined, but neither are other goals and guardrails.

Not in my country yet. Oh well.

First thing I am using this is for scraping (my) groups from FaceBook since they shutdown the API a while back. "Give me comments from this group from 1/1 to 8/1 in json". Hope it works.

I asked the latest AI model and destroyed consequent amount of water what "fly" is in this context.

Lee Sedol, a top play of Go, quit playing professionally after AlphaGo. Others are still playing. I think this is a personal quest, and differs individually. There probably are similar stories at the start of industrialization.

I think they have Teams bot, but it's bound to a particular user.

Target is probably people only use phones, no note PCs. If you use note, its generally better to tether by phone and view and input from note.

I standardized on Google Password Manager, so use it for banking and stuff on many machines.

Should I use 1password, or setup passkeys and TOTP separately for iOS? I have no idea.

I heard Muse Spark 1.1 isn't too shabby. Since Meta compute >> Chinese labs, we'll see how it goes from here.

It's an anti-consumer evil practice, but if it is a national threat that's on the nation's security infra.

Incentive is for users in general to release sessions (sans PII, credentials) so all AI get better and there is alternatives. Even if China didn't do this, I don't see frontier labs being able to charge premium over others for long. RSI maybe?

OpenAI did this first.

> In addition to safety training, automated classifier-based monitors detect signals of suspicious cyber activity and route high-risk traffic to a less cyber-capable model (GPT-5.2).

https://developers.openai.com/codex/concepts/cyber-safety

He seems to be saying that Claude Code can make discoveries. Does anyone think novel discoveries can be made from systems created by supervised learning only, and attempting to do so?

> Claude-Code, which have brought true advances in ... programming. ... these systems have found things that are both novel and good.

Yet the Eternal September is what made the modern AI possible. I asked Cowork for share of the corpus before / after the event, and the corpus before it is <1%, which fits my hunch.

Many things, such as ksmbd seems ill-advised when looked at from security. New AI driven exploits era will likely make projects more wary to adding functions.

Laziness is a virtue, but when I asked GPT-5.4 to test scenarios A and B with screenshots, it re-used screenshots from A for B, defeating the purpose.

Are you mostly using the Composer model?

Copilot was there in AI based development first with tab completions.

Now, it may be the right call to immediately give up and shutdown after Opus 4.5, but models and subscriptions are in flux right now, so the right call is not at all obvious to me.

The agentic AI models could be commoditized, some model may excel in one area of SWE, while others are good for another area, local models may be at least good enough for 80%, and cloud usage could fall to 20%, etc. etc.

Staying in the market and providing multi-model and harness options (Claude and Codex usable in Copilot) is good for the market, even if you don't use it.

AI should decide the level of model needed, and fallback if it fails. It mostly is a UX problem. Why do I need to specify the level of model beforehand? Many problems don't allow decision pre-implementation.

Thx. In other comment, but setting Java options for proxy settings worked. I was guessing annotations would be based on UI framework borders(which I can toggle on screen via debug menu), but looks it's based on image recognition locally. Maybe you can have UI component borders as option(haven't heavily used it yet, so throwing around ideas)

MS showing "view summary" button for all meetings, then doing bait-and-switch to tell you to buy Copilot license (on a corporate seat no less, where regular users don't have purchasing decision power) is top annoyance now

Tryed both. Copilot said it was wrongly utf16, but it was utf8 according to vscode.

I got a workaround a la GH Copilot:

<pre>

> android skills list

Picked up JAVA_TOOL_OPTIONS: -Djava.net.useSystemProxies=true

</pre>

Taking screenshots, optionally with component borders highlighted, and operating the UI with element names like "button1" instead of tap 200,30 looks useful. If I could get it to work.

The install command shown for Windows is 404.

`curl -fsSL https://dl.google.com/android/cli/latest/windows_x86_64/inst... | bash`

The URL shown for individual OSs work, but the script errors for me.

`curl.exe -fsSL https://dl.google.com/android/cli/latest/windows_x86_64/inst... -o "%TEMP%\i.cmd" && "%TEMP%\i.cmd"`

I manually downloaded the exe, but it say socket error. vibe coding is going strong!

Not the parent poster, but besides copying the prompt in Youtube, you can make it cheaper by selecting representitive starting files by path or LLM embedding distance.

Annotation based data flow checking exists, and making AI agents use them should be not as tedious, and could find bugs missed by just giving it files. The result from data flow checks can be fed to AI agents to verify.

gemini @YouTube is decent too.

Yeah, I thought Anthropic was for AI safety. Telling Ai to not be honest is a bad sign.