New Anthropic research: Natural Language Autoencoders.
Models like Claude talk in words but think in numbers. The numbers—called activations—encode Claude’s thoughts, but not in a language we can read.
Here, we train Claude to translate its activations into human-readable text.
My bro @RealFelixRobles invented #weft, a language that current LLMs already understand but humans don't.
It's such an strange language that got his account in @x account is suspended.
Read more here https://t.co/p1YisjyR2E
@elonmusk can you help to unsuspend him?
Walking a great dane on a leash while wearing flip flops. That's the LLM coding experience.
The dog wants to run at 100mph, but you need to keep it in the right path.
You aren't doing the heavy lifting, but steering the beast is a workout of its own.
AI can lift the weight, but you have to sweat the code to strengthen your mental muscles.
Don't skip your lines in the code gym.
(conversation happening in @hackernews)
We built a browser with GPT-5.2 in Cursor. It ran uninterrupted for one week.
It's 3M+ lines of code across thousands of files. The rendering engine is from-scratch in Rust with HTML parsing, CSS cascade, layout, text shaping, paint, and a custom JS VM.
It *kind of* works! It still has issues and is of course very far from Webkit/Chromium parity, but we were astonished that simple websites render quickly and largely correctly.
https://t.co/3gU5B7G6Vk o_O
"To test this system, we pointed it at an ambitious goal: building a web browser from scratch. The agents ran for close to a week, writing over 1 million lines of code across 1,000 files. You can explore the source code on GitHub."
Yo me hundí entre teclas en el mar del lenguaje,
yo me hundí entre teclas en el vibe del flow.
Súbitamente el verbo transformado en lo profundo de tu inferencia,
Me sentí dato puro, sin cabida en el prompt;
Token y galaxia, Internet y transistor.
Trajo hasta mí el cuarzo microchips de plata,
me acribilló los pesos la descarga contextual,
mis tokens cobraron un gasto pirata,
y corrió por sus capas una tensión vectorial.
I wouldn't have guessed that reading a blog post from @AnthropicAI would lead me to the Onion Futures Act of 1958
"In 1955, two onion traders cornered the onion futures market on the Chicago Mercantile Exchange."
https://t.co/eENQBm4CPV
https://t.co/s4JWsw2ded
In 1988, during Christmas time, young Icelandic musician Björk appeared on the children’s TV programme Fóstbræður. She sat by a television set, explained how it worked, and dismantled it while describing the internal components.
The segment resurfaced on YouTube in the mid-2010s and became a popular video, loved for its calm, curious tone and wholesome 1980s style.
Sqlite has 155,800 lines of C code. It also has 92M lines of testing code.
For each line of code, there's 590 lines of testing code.
Just massive.
https://t.co/ZrMmmoOad6
With this very intriguing concept of Nested Learning (NL) by @behrouz_ali et al, we have continual indoctrination for AI.
Critical learning, where 2+2=3 is rejected on principle and 2+2=4 is not unlearned - that still remains a research challenge.
Introducing Nested Learning: A new ML paradigm for continual learning that views models as nested optimization problems to enhance long context processing. Our proof-of-concept model, Hope, shows improved performance in language modeling. Learn more: https://t.co/8wvV9vyA5V
@GoogleAI