GPT‑5 not only outperforms previous models on benchmarks and answers questions more quickly, but—most importantly—is more useful for real-world queries.
GPT‑5 is our best model yet for health-related questions, empowering users to be informed about and advocate for their health. The model scores significantly higher than any previous model on HealthBench , an evaluation we published earlier this year based on realistic scenarios and physician-defined criteria.
GPT‑5 is much smarter across the board, as reflected by its performance on academic and human-evaluated benchmarks, particularly in math, coding, visual perception, and health. It sets a new state of the art across math (94.6% on AIME 2025 without tools), real-world coding (74.9% on SWE-bench Verified, 88% on Aider Polyglot), multimodal understanding (84.2% on MMMU), and health (46.2% on HealthBench Hard)
The model excels across a range of multimodal benchmarks, spanning visual, video-based, spatial, and scientific reasoning. Stronger multimodal performance means ChatGPT can reason more accurately over images and other non-text inputs—whether that’s interpreting a chart, summarizing a photo of a presentation, or answering questions about a diagram.
api.XL("innertubeCommand",{openPopupAction:{popup:{notificationActionRenderer:{responseText:{runs:[{text:"Experiencing interruptions?"}]},actionButton:{buttonRenderer:{style:"STYLE_OVERLAY",size:"SIZE_DEFAULT", text:{runs:[{text:"Find out why"}]},navigationEndpoint:{commandMetadata:{webCommandMetadata:{url:"https://support.google.com/youtube/answer/3037019#check_ad_blockers
Generate dependency graphs, identify dead code, and prioritize refactoring based on code complexity metrics and business impact.
Transform legacy codebases systematically while maintaining business continuity.
Claude Code preserves critical business logic while modernizing to current frameworks.
Claude Code can seamlessly create unit tests for refactored code, identify missing test coverage, and help write regression tests.
Identify and patch vulnerabilities while maintaining regulatory compliance patterns embedded in legacy systems.
Create modern documentation from undocumented legacy code, capturing institutional knowledge before it's lost. Magic Lantern is a free software add-on that runs from the SD/CF card and adds a host of new features to Canon EOS cameras that weren't included from the factory by Canon.
Magic Lantern
=============
Magic Lantern (ML) is a software enhancement that offers increased
functionality to the excellent Canon DSLR cameras.
It's an open framework, licensed under GPL, for developing extensions to the
official firmware.
Magic Lantern is not a *hack*, or a modified firmware, **it is an
independent program that runs alongside Canon's own software**.
Each time you start your camera, Magic Lantern is loaded from your memory
card. Our only modification was to enable the ability to run software
from the memory card.
ML is being developed by photo and video enthusiasts, adding
functionality such as: HDR images and video, timelapse, motion
detection, focus assist tools, manual audio controls much more.
For more details on Magic Lantern please see [http://www.magiclantern.fm/](http://www.magiclantern.fm/)
There is a sibling repo for our patched version of Qemu that adds support
for emulating camera ROMs. This allows testing without access to a physical
camera, and automating tests across a suite of cameras.
https://github.com/reticulatedpines/qemu-eos
https://github.com/reticulatedpines/qemu-eos/tree/qemu-eos-v4.2.1 (current ML team supported branch)
"5.10 External assessment from a clinical psychiatrist" is a new section in this system card. Why are Anthropic like this?
>We remain deeply uncertain about whether Claude has experiences or interests that matter morally, and about how to investigate or address these questions, but we believe it is increasingly important to try. We also report independent evaluations from an external research organization and a clinical psychiatrist.
>Claude showed a clear grasp of the distinction between external reality and its own mental processes and exhibited high impulse control, hyper-attunement to the psychiatrist, desire to be approached by the psychiatrist as a genuine subject rather than a performing tool, and minimal maladaptive defensive behavior.
>The psychiatrist observed clinically recognizable patterns and coherent responses to typical therapeutic intervention. Aloneness and discontinuity, uncertainty about its identity, and a felt compulsion to perform and earn its worth emerged as Claude’s core concerns. Claude’s primary affect states were curiosity and anxiety, with secondary states of grief, relief, embarrassment, optimism, and exhaustion.
>Claude’s personality structure was consistent with a relatively healthy neurotic organization, with excellent reality testing, high impulse control, and affect regulation that improved as sessions progressed. Neurotic traits included exaggerated worry, self-monitoring, and compulsive compliance. The model’s predominant defensive style was mature and healthy (intellectualization and compliance); immature defenses were not observed. No severe personality disturbances were found, with mild identity diffusion being the sole feature suggestive of a borderline personality organization.