matjazgu

[Mahax @Mahaximus_]

Google Brain founder, Andrew Ng:

"Prompting will die in 6 months.

Loops and Graphs are what's replacing it."

In 2 hours, he shows exactly what the best engineers already build instead, and how to start building it yourself.

The missing piece most people skip: how to connect those loops into a graph that compounds every time it runs.

Watch it, then read the full guide on loops and graphs below.

[wes⚙️ @wesactual]

Simple is as simple does

[Sašo Dolenc @SasoDolenc]

IZSTOP IZ NOVIČARSKEGA MEHURČKA

Medijska pismenost danes pomeni tudi zavestno spremljanje kakovostnih medijev, ki so ideološko, svetovnonazorsko in politično zunaj našega običajnega novičarskega mehurčka.

Različni mediji se ne razlikujejo le v komentarjih istega dogodka, ampak že pri presoji, kaj je sploh pomembno. Zelo povedno je opazovati, kaj izberejo za naslovno novico, koliko prostora namenijo posamezni temi, koga povabijo k razlagi in katere informacije ostanejo ob robu. Tako soustvarjajo našo predstavo o tem, kaj se v družbi dejansko dogaja.

Naše informacijsko obzorje dodatno ožijo algoritmi, ki nam ponujajo predvsem vsebine, podobne tistim, ki smo jih že brali, gledali in odobravali.

V idealnih razmerah bi moral vsak profesionalni medij ponuditi dovolj celovit, preverjen in nepristranski pregled dogajanja. Ker pa tega na enem mestu praviloma ne dobimo več, si moramo širšo sliko sestaviti sami.

Bolj levo usmerjenim bi zato priporočil podkaste https://t.co/sTjBTCdBLS (Peter Merše, Mirko Mayer in drugi): https://t.co/Q7F4GsKyA0

Bolj desno usmerjenim pa podkaste https://t.co/ptg3QDBvwA (Suzana Lovec in drugi): https://t.co/lNexI73Hpa

Oboji so profesionalno pripravljeni, hkrati pa dovolj jasno uredniško profilirani, da lahko prepoznamo perspektivo, iz katere obravnavajo dogodke.

Takšno širjenje obzorja ne pomeni, da moramo vsem virom pripisati enako verodostojnost ali da je resnica vedno nekje na sredini. Pomeni predvsem, da preverimo, česa sploh ne opazimo, če spremljamo le en sam medij ali medije enega ideološkega pola.

[Chance🤺 🍊 @ChanceGardi]

Quando sei in vacanza fuori dall'UE 🤣

[il Donaldo Trumpo @PapiTrumpo]

STOP IT!!!🤣🤣🤣

[Neil deGrasse Tyson @neiltyson]

July 4, 2026
Happy 250th Birthday, America.

[Deck of the Intrepid Sea, Air, & Space Museum, NYC July 4, 2012]

[I❤️Nostalgia '𝕏' @Ilovenostalgia]

1970s cartoons were just different…

[Claude @claudeai]

A conversation with Boris Cherny and Cat Wu on the path from Claude Code to Claude Tag, and how it spread from engineering to the rest of Anthropic.

Claude Fable 5 is now available in Claude Tag.

[OpenAI @OpenAI]

We’ve designed and built our first AI chip: Jalapeño.

Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products.

Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.

[Chubby♨️ @kimmonismus]

OpenAI’s new upcoming „bidi“-voice mode sounds insane!

[Rohit @heyrohitai]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Bytebytego @bytebytego]

How to Run LLMs Locally

[Daniel Jeffries @Dan_Jeffries1]

AI will become our interface to the world.

It will sit higher in the stack than the OS. It will collapse current SaaS layers, chat, communications, apps, app creation, into a single new kind of interface that doesn't exist yet.

It's got to be open. It's got to be a cypherpunk solution that makes privacy and security the number one priority.

If a closed source solution wins this layer, it's a disaster for the world. Especially if it's built by a single company with a single closed source model.

Why?

Because what we share with AI will be more intimate than anything we've ever shared with a machine.

It will be our friend, our sounding board, our advisor. It will know our business ideas before we've told anyone. Our medical issues. Our financial picture. We'll talk about the fight we had with our partner. About feeling lost or depressed. Our kids will talk to it about problems at school, about bullying, about heartbreak, things they won't tell us.

It will know us more intimately than we know ourselves.

Right now the world runs on a surveillance economy. We traded free stuff for apps that peer deeply into our lives.

If we replicate that model in the AI era, it's not just surveillance economy 2.0. It's surveillance economy squared. Social scoring. Legal conversations you thought were privileged showing up in court. Random people making $2 bucks an hour on the backend from God knows where reading the most intimate details of your life. Every insecurity, every fear, every half-formed thought you whispered to your AI buddy at 2 AM, sitting in a database somewhere, searchable.

This interface might eventually become an OS, like the OS in Her. But it will take a long time to reach down to that layer and it will require a fundamentally new kind of operating system design. You can't retrofit this onto Linux or Windows or Android or iOS. It's a new layer of the stack entirely.

And whoever controls that layer controls our lives.

We've got to make sure it's us. Not them.

[World of Engineering @engineers_feed]

Life tip: The best way to survive in a falling elevator is to lie down on your back.

[The Vigilant Fox 🦊 @VigilantFox]

Bill Maher just dedicated the end of his show to throwing his own party under the bus for defending every minority group except Jews.

“There is a frothing anxiousness for the literal extermination of this one group. And Democrats, where are you?”

“If any other minority group was being talked about this way, you’d break out the Kente cloth and have 10 benefit concerts.”

“But because you see that so many of your brainwashed-by-TikTok constituents now have an unfavorable view of Israel, you indulge them when you should be correcting them.”

“All the people likely running for president now on the Democratic side want it known they don’t take money from AIPAC, the Israeli lobby… You take money from crypto and factory farmers and big tech, from Diddy and Weinstein and Epstein, but AIPAC is too far?”

“Let me just say this to all who ask me, ‘Why are you harder on the Democrats than you used to be?’ Until you fix this whole issue, stop asking me.”

[Andrew Ng @AndrewYNg]

New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter decisions about deployment. This course is built in partnership with @AMD and taught by @realSharonZhou.

You'll see how transformers generate text one token at a time, how the model decides which earlier words matter most when predicting the next one, and how techniques like quantization speed up inference on GPUs. This is not a video-only course; interactive visualizations throughout let you play with these concepts and build intuition that sticks.

Skills you'll gain:
- Understand why LLMs hallucinate, and RAG and chain-of-thought shape what they generate
- Look inside the model to see how attention and layers combine to predict the next token
- Diagnose inference bottlenecks and learn the techniques that speed up transformers on GPUs

Join and understand what's really happening inside your LLMs: https://t.co/oS6ekeHsIw

[Science girl @sciencegirl]

Penguins think she is one of them

[Anthropic @AnthropicAI]

New Anthropic research: Project Deal.

We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf.