Andrés Estrada

drink water. eat good. be thankful.

[Andrew Curran @AndrewCurran_]

Effective November 12th, 2026, abusive behavior towards Claude will be a violation of Anthropic's Usage Policy.

[Hassaan Raza @hassaanraza]

The whole point of building Tavus has been simple: talking to a machine should feel as natural as talking to a friend or coworker.

It’s hard to describe all the tiny nuances that make a conversation feel human. The little expressions. Moving around in your chair. Knowing when to speak and when to listen. The dance of it all.

Griffin is by far the closest anyone has come to a model that can capture those nuances. The first time I saw it being used, I had no idea I was watching our model rather than just a normal video call.

I’m so incredibly proud of this team and what they’ve built.

[sdmat @sdmat123]

I'm convinced Anthropic made some kind of technical breakthrough for diversity and creativity with Opus 5.5. It's far ahead of the competition and previous Anthropic models.

Left: Opus max, Right: Sol 6.1 max

[Pato González 🦆 @patog7]

Estos son los nuevos VR Glasses de Meta!

Pesan alrededor de 100 gramos, 5 veces menos que el Quest 3
#MetaConnect

[josh @eudaemonea]

when Anthropic released their Functional Emotions paper, I gave it to Claude and asked for a song. tonight I asked Opus 5.5 to create a video for it. and it's breathtaking.

[Christian Elton @christianelton]

The gap between major model releases keeps shrinking.

2023: once every 73 days
2026 (so far): once every 18 days 🤯

[Claude @claudeai]

Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family.

It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.

[nader dabit @dabit3]

It's safe to say that within 6-12 months we'll be able to do an entire day's work without touching our computer other than turning it on and off.

[Elon Musk @elonmusk]

I love you

[Emad @EMostaque]

It is clear that as of today we are no longer the smartest things on the planet.

[Noam Brown @polynoamial]

It can be hard to “feel the AGI” until you see an AI surpass you in a domain you care deeply about. This week, many mathematicians and physicists at @OpenAI had their Lee Sedol moment seeing this model solve, in minutes, open problems they’d struggled with for years.

[Artificial Analysis @ArtificialAnlys]

Announcing Artificial Analysis Intelligence Index v4.3, upgrading Terminal-Bench to 4.0 and adding AutomationBench-AA, an agentic workflow automation benchmark with a private test set. This is a continuation of our rollout of Intelligence Index v5

Changelog (Index v4.2 → Index v4.3):
➤ Terminal-Bench: 2.1 → 4.0, completing our upgrade to the latest version of Terminal-Bench
➤ Replacing 𝜏³-Banking with AutomationBench-AA, our implementation of Zapier's business workflow automation benchmark

We are continuing to prioritize keeping Intelligence Index as useful as possible by bringing forward a subset of the changes we had planned for Index v5. Each change in v4.2 and v4.3 stands on its own merits and brings the Index closer to real-world problem solving, adds more private test sets to prevent gaming, and reduces saturation

Intelligence Index v4.3 raises the difficulty of agentic coding tasks and broadens the types of agentic workflows tested. Because we use a held-out test set for AutomationBench-AA, in collaboration with @zapier, the weight assigned to evaluations with private tasks or answers increases from 40% to 45%. Category weights are unchanged from v4.2: Agents 30%, Coding 20%, General 30%, Scientific Reasoning 20%

Detailed changes:
➤ Upgraded Terminal-Bench 2.1 to 4.0: 66 multi-step tasks testing agents on tasks run in agent sandboxes driven via the terminal, including tasks involving software engineering, machine learning, science, and operations. The 4.0 update recalibrates compute and time allowances, and improves task instructions and verification. We have changed from the Terminus 2 harness to mini-SWE-agent, a minimal, model-agnostic harness. We will also be updating our Coding Agent Index, where we test model and harness pairs, to include Terminal-Bench 4.0 soon

➤ Replaced 𝜏³-Banking with AutomationBench-AA: Our implementation of Zapier’s AutomationBench tests agents on 657 business workflows across simulated applications such as Gmail, Slack, Salesforce, and Jira. Agents must complete task objectives while following business rules. AutomationBench-AA uses Zapier’s private set of 657 tasks, and is built on v1.0.6

Key results:
➤ Claude Fable 5.1 and GPT-6 Astra lead the Intelligence Index: Both Claude Fable 5.1 (max with fallback) and GPT-6 Astra (max) score 53 on Intelligence Index v4.3, followed by Claude Opus 5 (max, 51), Claude Fable 5 (with fallback, 50), Muse Spark 1.3 (max, 48) and GPT-5.6 Sol (max, 47)
➤ GLM-5.3 and Kimi K3 continue to lead open weights models (both at 44): GLM-5.3-Flash (42) is the third strongest open weights model, followed by Qwen3.8 2.4T A95B (40) and DeepSeek V4 Pro 0813 (max, 36)
➤ 4 labs occupy the Intelligence vs. Cost per Task Pareto frontier: OpenAI occupies the majority of the cost-efficiency frontier, with all five reasoning efforts of the recently released GPT-6 Astra offering the lowest Cost per Task at their respective levels of intelligence. Claude Fable 5.1 (xhigh, max, 53), GLM-5.3-Flash (42) and MiMo-V2.5-Pro (26) round out the rest of the frontier

[Jensen Huang @JensenHuang]

@ChaseLochmiller @OpenAI GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years.

AGI has arrived. Congratulations @OpenAI team.

400K GPUs coming online next.

[Eymeric63974 🇷🇪 @Eymeric63974]

Imagine : tu achètes un Cybercab.
Le matin, il t’emmène au bureau puis tu le libères dans le réseau Robotaxi.
Toute la journée, il transporte des passagers. Le soir, tu le rappelles. Il vient te chercher. Tu rentres. Tu le relâches de nouveau pour la nuit. Toi, tu travailles. La voiture aussi. La voiture te fait gagner un peu d’argent.
Tesla vient d’ouvrir un formulaire d’intérêt pour acheter des Cybercab en flotte :

[Google Research @GoogleResearch]

Introducing TimesFM-3, a state-of-the-art time series foundation model that enables accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks.

More on the blog →https://t.co/uSlnIdUJ4Q

[Claude @claudeai]

We’re introducing Claude Fable 5.1 and Claude Mythos 5.1.

They're the world’s most advanced models for coding and knowledge work.

[Natanael Cano News @NatanaelCanoNew]

NATANAEL CANO INTERPRETANDO “MAR AZUL”, PARTE DE “NATANAEL CANO VOL. 1”. 🌊🔥

[Natanael Cano News @NatanaelCanoNew]

NATANAEL CANO INTERPRETANDO “CR7”, PARTE DE “NATANAEL CANO VOL. 1”. 🔥

[hero thousandfaces @1thousandfaces_]

what an insane hackathon idea. we live in a very cool future

[Figure @Figure_robot]

We are now on a path to 100x, and are committed to spend over $1B the next 12 months on data and compute

Index is laying the groundwork for ordering robots as a service. Today, you have people coming to help clean your house; eventually, a robot will do everything for you