Javier Velilla

[Bertrand Meyer @Bertrand_Meyer]

Just released: my book "AI for Smarties -- Understanding Artificial Intelligence", https://t.co/cefqhicPU9 (e-book, €29.95, €24.95 until July 15, for an extra discount read this thread to the end). It is a general intro to AI, for people who want to understand... [1/3]🧵

[Javier Velilla @jvelilla]

@ThePrimeagen Assert is a Design by Contract as a Bycicle is a Car

[Javier Velilla @jvelilla]

@hicasamadim 254

[Javier Velilla @jvelilla]

@ThePrimeagen Use Eiffel Language instead

[Haider. @haider1]

Yann LeCun says you cannot build a reliable agentic system without a world model

LLMs don't have world models. They can't predict the consequences of their actions before taking them

"they just act, and whatever happens next is someone else's problem"

Without that, it's not intelligence

[Javier Velilla @jvelilla]

https://t.co/QDi4nXRxil

[Javier Velilla @jvelilla]

@cnfoster_za @Grady_Booch What do you mean by contracts? Do you describe pre, post per func and invariants per class?

[Javier Velilla @jvelilla]

@MrEwanMorrison You should look at @Recognyze_AI . Instead of endless litigation, we need infrastructure like https://t.co/74SAnbKq1P that suggests “not suing, but charging” large language models (LLMs) for using content. It turns LLM usage into a predictable revenue stream for creators.

[Javier Velilla @jvelilla]

@rohanpaul_ai @AIatMeta @GoogleDeepMind @NVIDIAAIDev A more scalable path is models like @Recognyze_AI, not “sue the model,” but "charge for usage". It turns LLM usage into a predictable revenue stream for creators. https://t.co/74SAnbKq1P

[Javier Velilla @jvelilla]

@TheWhizzAI Key to the debate. Instead of endless litigation, we need infrastructure like @Recognyze_AI, https://t.co/wj8aQs7lbw, that suggests “not suing, but charging” large language models (LLMs) for using content. It turns LLM usage into a predictable revenue stream for creators.

[Javier Velilla @jvelilla]

@cybercpu @ecutruin @ImKingGinger Key to the debate. There are proposals like @Recognyze_AI , https://t.co/XKr9YGNKbv that suggest “not suing, but charging” large language models (LLMs) for using content.

[Javier Velilla @jvelilla]

@cybercpu @alexutopia Key to the debate. There are proposals like @Recognyze_AI , https://t.co/XKr9YGNKbv that suggest “not suing, but charging” large language models (LLMs) for using content.

[Javier Velilla @jvelilla]

@gandreou007 Key to the debate. There are proposals like @Recognyze_AI https://t.co/XKr9YGNKbv that suggest “not suing, but charging” large language models (LLMs) for using content.

[Javier Velilla @jvelilla]

@RadioUdeG Interesante enfoque. También vale la pena mirar soluciones como @Recognyze_AI: en vez de litigar contra los LLM, permiten monetizar el acceso al contenido de forma simple y justa.
, https://t.co/XKr9YGNKbv

[Javier Velilla @jvelilla]

@Ma_WuKong Te recomiendo que eches un vistazo a la tecnología desarrollada por @Recognyze_AI , https://t.co/XKr9YGNKbv, basada en el principio de ¡no demandes, cobráles!, que permite monetizar el acceso de los grandes modelos de lenguaje (LLM) al contenido web de una forma sencilla y justa.

[Javier Velilla @jvelilla]

@IntCyberDigest You should look up the technology developed by
@Recognyze_AI, https://t.co/XKr9YGNKbv, based on the "don't sue them, charge them!" principle -- monetize LLM access to Web content in a simple and fair way.

[Javier Velilla @jvelilla]

https://t.co/2WSNshAHy8

[Recognyze AI @Recognyze_AI]

@LuizaJarovsky @niloofar_mire @irisiris_l @TuhinChakr Very useful analysis, thanks. Also look up the technology developed by @Recognyze_AI, https://t.co/JOmlQ6dh94, based on the "don't sue them, charge them!" principle -- monetize LLM access to Web content in a simple and fair way.

[Daniel Jeffries @Dan_Jeffries1]

Friendly reminder, Hinton is the same guy who told us this:

"We should stop training radiologists now. It's just completely obvious that within five years, deep learning is going to do better than radiologists.".

That was six year ago.

He was right about the AI. Wrong about the job.

AI already reads scans better than any human. Six years after this nonsense prediction we have more radiologists. That's because Hinton and many others just fundamentally misunderstand that tasks are not jobs and that the job of a radiologist is also interacting with patients, being a light in darkness, providing hope and warmth and care and a thousand other things.

Again we need to stop listening to these folks.

I cannot say it enough, just because this fellow is brilliant with AI does not mean he has any clue how it will impact society. None. Zero.

[Javier Velilla @jvelilla]

@maxifirtman @codemiadot Que opinas de Neuro-symbolic AI?