jmasides

[Tibo @thsottiaux]

It is all propagated. Enjoy some mad codexing tomorrow. Fun week ahead too.

[Hasan Toor @hasantoxr]

🚨 Microsoft just quietly dropped a tool that turns ANY document into LLM-ready data in seconds.

It's called MarkItDown, a lightweight Python library that converts PDFs, Word, Excel, PowerPoint, images, audio, and YouTube URLs into clean Markdown your LLM can actually use.

No custom parsers. No brittle pipelines. No preprocessing hell.

Built by the AutoGen team and battle-tested across 87K GitHub stars.

The numbers don't lie:
→ pip install markitdown and you're converting files in under 60 seconds
→ 10+ file formats supported out of the box
→ Native MCP server for direct Claude Desktop integration

And it works everywhere:
→ Command line: markitdown file.pdf > doc .md
→ Python API: 3 lines of code
→ Docker
→ Azure Document Intelligence for enterprise OCR

100% Opensource. MIT license.

This is the document preprocessing tool your RAG pipeline has been waiting for LLM-ready output without the LLM-ready headache.

Link in the first comment 👇

[Lior Alexander @LiorOnAI]

Ilya Sutskever (OpenAI cofounder) top 30 must-read research papers.

"If you really learn all of these, you’ll know 90% of what matters today"

[Andrej Karpathy @karpathy]

Don't think of LLMs as entities but as simulators. For example, when exploring a topic, don't ask:

"What do you think about xyz"?

There is no "you". Next time try:

"What would be a good group of people to explore xyz? What would they say?"

The LLM can channel/simulate many perspectives but it hasn't "thought about" xyz for a while and over time and formed its own opinions in the way we're used to. If you force it via the use of "you", it will give you something by adopting a personality embedding vector implied by the statistics of its finetuning data and then simulate that. It's fine to do, but there is a lot less mystique to it than I find people naively attribute to "asking an AI".

[Massimo @Rainmaker1973]

Secret wooden key and lock.

[📹 victor_academy_diy]

[jmasides @jmasides]

@calcsam BOOK

[Baptiste @BaptisteVicini]

Google DeepMind's CEO just stunned 60 Minutes viewers.

The Nobel prize winner revealed:

• An AI that can see and understand in real-time
• A plan to end ALL diseases in 10 years
• Exactly when AI will surpass human intelligence

Here are his 4 most jaw-dropping insights:🧵

[Jay Hack @mathemagic1an]

This is wild. Ask an app for sunlight and it points a satellite with a mirror at you.

There’s a town in Norway that accomplishes this by installing a mirror on a hill. Now you don’t need oil wealth to avoid seasonal depression 🚀

[Greg Brockman @gdb]

A reason we need beneficial AGI:

After five years of pain across many systems in her body (a broken foot from stepping off a curb, debilitating migraines, fatigue, joint pain and instability, etc), my wife was recently diagnosed with a genetic disorder called Hypermobile Ehlers-Danlos Syndrome (hEDS).

Because the medical system is designed for individual specialties while hEDS affects every system in her body (orthopedics, cardiology, neurology, gastroenterology, dermatology, etc), we spent five years seeing more doctors and specialists than in her whole life prior. Most doctors would only focus on what was relevant to their own specialty. We were lucky that her allergist (!!) put together the pieces after observing and hearing her full set of symptoms and issues.

As human medicine has progressed, it seems like we increase doctors’ depth at the expense of breadth. We need better tools to be able to deliver depth and breadth simultaneously to patients. This is one promise of AGI if built right — reliable, individualized, affordable healthcare in your pocket, like a panel of today’s top doctors across every speciality working together in concert to keep you healthy (and without you needing to fax forms between them).

There’s still a long way to go on the technology and on learning how to deploy it beneficially along with appropriate professional human oversight in high-stakes areas like medicine, but the promise is getting increasingly clear. Thoughtfully approached by technology developers, healthcare providers, governments, and society, there’s hope for much better care for every member of all of our families (including our non-human furry ones).

[Charlie Holtz @charlieholtz]

David Attenborough is now narrating my life

Here's a GPT-4-vision + @elevenlabs python script so you can star in your own Planet Earth:

[xavie @xavierverse]

@0xgaut Holy sh*t, they have more!

[gaut @0xgaut]

ok this is absolutely *wild*

using AI to live translate and sync your lips

[delian @zebulgar]

forever my favorite meme

[TransPerfect @TransPerfect]

Ask a NextPert! #GLNXT

[jmasides @jmasides]

XD https://t.co/R0PCssQExe

[Barnaby Wass @BarnabyWass]

#AEM is only one week away! @translationscom is proud to be a sponsor of this exciting event in #Madrid. Learn more: https://t.co/EyfICEPVki

[jmasides @jmasides]

Nice is nice. At the #GlobalLink Product Management Conference @translationscom

[Anna Gener @agenersurrell]

#Barcelona, 3er destino destino europeo para el turismo y 4a ciudad más atractiva para el #Retail en Europa, sg. Savills
Vía @rocioruizsa

[Jeroen Buijs @boxingjeroen]

@AccentureDigi @john_rethans and in their own language? #UX improves with localised content. #BeEverywhere2016

[jmasides @jmasides]

@chrisolson