Air to Ground Message:

CAN U SEND COORDS OF ANTICIPATED SPACE WARNING AREA IMPACTING OUR ROUTING PLEASE. I HAVE NOT FOUND THE CHARTED WARNING AREA. THANKS

Area: Watsonville, CA, USA
Type: Airbus A321neo
A: #ad37024452f
F: #fdebe2f5f06

#acars #vdlm2

Another hobby of mine is making beaded jewelry. I taught myself how to do it by watching video tutorials online. It’s a very meditative activity that requires patience and calm 🦋

#BeadedJewelry #HandmadeJewelry #BeadWork

Rubber Ducking

#webcomic #krita #miniFantasyTheater

Anthropic's Claude Code's full source code leaked. Claude is seen by many to be the best coding LLM on the market with Anthropic proudly stating that Claude Code itself is mostly written by the LLM.

Now this sounds good as long as nobody can see the code which is quite the trash fire. Detecting "code sentiment" via regular expressions, variable and functions names containing prompt parts trying to influence the bot, a completely intransparent mess of a control flow that makes actual maintenance and debugging functionally impossible and the prompts ... of the prompts. All the begging and pleading to the chatbot not to do this or not to do that or please to do this.

It is fascinating but it is as far away from actual engineering as drunkenly pissing your name in the snow. Dunno what you call the people prompting software at Anthropic but "engineer" is not it.

Now it is fun to look at the currently hyped product striped bare and showing its pathetic quality but that is the future of software if we let those companies continue to undermine every good practice software engineering has tried establishing.

The software we have to use will be bad, insecure, unmaintainable, expensive with nobody having the skills or resources to build something better. As I wrote a few months ago: LLM based software production is equivalent to saying that fast fashion should be the only way to produce clothing. A tragic degeneration of the quality of the artefacts we rely on build for maximum profit on the backs of people in countries from the global majority.

The gap between what artificial intelligence promised and what the battlefield delivered has become the defining scandal of the Iran war.

AI-powered targeting systems generated over 1,000 strike coordinates in the first 24 hours.

AI simulations projected rapid regime collapse.

AI logistics models forecast a 12-hour securing of the Strait of Hormuz.

None of it happened as predicted.

Thirteen American service members are dead,
over 200 wounded,
oil has breached $120 a barrel,
and the regime in Tehran
— far from collapsing
— has installed a new supreme leader and triggered nationalist rallies
rather than the pro-US uprising planners had expected.

A growing body of evidence, drawn from leaked planning documents, academic research, and the testimony of intelligence professionals,
suggests that the most consequential military operation of the twenty-first century
may have been shaped less by strategic necessity than by a phenomenon researchers now call
AI sycophancy
— the tendency of large language models to tell their users exactly what they want to hear

https://houseofsaud.com/iran-war-ai-psychosis-sycophancy-rlhf/