PhysXAI

Physicist | PhD | Principal Architect | Applying physics & AI to modern defence

[PhysXAI @drGarika]

@LilyWest_01 @grok You are sick

[Chrome @0xchromium]

Andrej Karpathy spent 2h showing how he actually uses AI day to day

he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching

and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker

watch what's actually happening the entire time:

> he describes the task in normal words
> it goes off and does the work
> he glances at the result and nudges it with one more sentence

that's the whole skill, and you've had it since you learned to talk

the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act

check his work, then build the version that keeps working when you stop

[PhysXAI @drGarika]

@Adreem8 @AksalserNews Moment, wer waren die Barbaren? Die Römer bezeichneten das Gebiet der germanischen Volksstämme auch als "Barbaricum" und hielten seine Bewohner für rückständige "Barbaren". Dieser Begriff bezeichnete alle Personen oder Völker, die nicht die klassische Bildung genossen hatten.

[PhysXAI @drGarika]

@AnnemitRedhair Bist du behindert?

[PhysXAI @drGarika]

@realMaalouf 🐧 are religious?

[PhysXAI @drGarika]

@vivoplt 💩

[PhysXAI @drGarika]

@welt Haltung bei Genozid in Gaza? Blacklisting Israel? Haltung bei Tötung von Kindern in Iran? Achso, das ist DEINE übliche Haltung 🙈🙉🙊

[PhysXAI @drGarika]

@Meyermit_ey @larsklingbeil Russland hat deine Mama im Griff

[PhysXAI @drGarika]

@Meyermit_ey Russland 🇷🇺 will deine Mama zurück

[PhysXAI @drGarika]

@NurderK Das Loch muss breit sein

[PhysXAI @drGarika]

@CuriosityonX Pope

[PhysXAI @drGarika]

@vivoplt WW3

[PhysXAI @drGarika]

@Karl_Lauterbach Und Menschen einsperren!

[PhysXAI @drGarika]

@nikitabier ripple:native

[Stanford HAI @StanfordHAI]

Introducing the #AIIndex2026: Our most comprehensive, independently sourced data analysis of AI’s trajectory, with a clear-eyed assessment of the critical gaps that remain. As AI advances rapidly, can the systems built around it keep up? Explore the data: https://t.co/WqRGeRZIjA

[PhysXAI @drGarika]

@YourAnonOne Money

[PhysXAI @drGarika]

@hensoldt 👏🏻 we are growing!

[PhysXAI @drGarika]

@TheRundownAI @davemorin Time was different! Linux started before internet! Before Smartphone! Before people knew Software exists!

[PhysXAI @drGarika]

The Strait of Hormuz is effectively closed Global energy chaos incoming? 🚢💥 #HormuzCrisis

[Rimsha Bhardwaj @heyrimsha]

Prompt engineering is dead.

Anthropic recently released the real playbook for building AI agents that actually work.

It’s a 30+ page deep dive called The Complete Guide to Building Skills for Claude and it quietly shifts the conversation from “prompt engineering” to real execution design.

Here’s the big idea:

A Skill isn’t just a prompt.
It’s a structured system.

You package instructions inside a SKILL .md file, optionally add scripts, references, and assets, and teach Claude a repeatable workflow once instead of re-explaining it every chat.

But the real unlock is something they call progressive disclosure.

Instead of dumping everything into context:

• A lightweight YAML frontmatter tells Claude when to use the skill
• Full instructions load only when relevant
• Extra files are accessed only if needed

Less context bloat. More precision.

They also introduce a powerful analogy:

MCP gives Claude the kitchen.
Skills give it the recipe.

Without skills: users connect tools and don’t know what to do next.
With skills: workflows trigger automatically, best practices are embedded, API calls become consistent.

They outline 3 major patterns:

1) Document & asset creation
2) Workflow automation
3) MCP enhancement

And they emphasize something most builders ignore: testing.

Trigger accuracy.
Tool call efficiency.
Failure rate.
Token usage.

This isn’t about clever wording.

It’s about designing an execution layer on top of LLMs.

Skills work across Claude, Claude Code, and the API. Build once, deploy everywhere.

The era of “just write a better prompt” is ending.

Anthropic just handed everyone a blueprint for turning chat into infrastructure.

Download the guide here: https://t.co/Bf3j0GFRGu