عقبة الأيسر

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

Why has the internet developed an obsession with Von Neumann and not say Euler or Gauss? And from early 20th century someone like Dirac?

1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵

No lies detected. It's actually insane how smartphones effectively ruined computer literacy for younger Gen Z and Alpha.

Gemini 3 Deep Think is getting a significant upgrade. We’ve refined Deep Think in close partnership with scientists and researchers to tackle tough, real-world challenges. And it’s pushing the frontier across the most challenging benchmarks, achieving an unprecedented 84.6% on ARC-AGI-2. It also sets a new standard on Humanity’s Last Exam - 48.4% without tools.

Lots of folks spread false narratives about how ARC-1 was created in response to LLMs, or how ARC-2 was only created because ARC-1 was saturated. Setting the record straight: 1. ARC-1 was designed 2017-2019 and released in 2019 (pre LLMs). 2. The coming of ARC-2 was announced in May 2022 (pre ChatGPT). 3. By mid-2024, there was still essentially no progress on ARC-1. 4. All progress on ARC-1 & ARC-2 came from a new paradigm, test-time adaptation models, starting in late 2024 and ramping up through 2025. 5. Progress happened specifically *because* research moved away from what ARC was intended to challenge (static DL), toward what ARC was intended to encourage (test-time adaptation). ARC was meant to steer AI research towards fluid intelligence, and it is only by implementing fluid intelligence that it could be solved. 6. To this day, base LLMs (no test-time adaptation) *still* perform abysmally low on ARC despite a 50,000x scaleup since 2020, which confirms what we predicted about this paradigm not being capable of fluid intelligence and therefore not being capable of solving ARC. 7. ARC-3 was announced in February 2025, back when ARC-2 was completely unsaturated. ARC-3 is not in response to ARC-2 getting saturated. 8. We never claimed solving ARC would be proof of having achieved AGI; all the way back to 2021-2022 and every single year since we made it very explicit that it would NOT be proof of AGI. ARC is a research tool that was intended to steer AI research towards fluid intelligence, which it did.