AWS Cloud Control API, a Uniform API to Access AWS & Third-Party Services | Amazon Web Services
AWS News Blog AWS Cloud Control API, a Uniform API to Access AWS & Third-Party Services Today, I am happy to announce the availability of AWS Cloud Control API a set of common application programming interfaces (APIs) that are designed to make it easy for developers to manage their AWS and third-party services. AWS delivers the broadest and deepest portfolio of cloud services. Builders leverage th
How a simple Linux kernel memory corruption bug can lead to complete system compromise
In this case, reallocating the object as one of those three types didn't seem to me like a nice way forward (although it should be possible to exploit this somehow with some effort, e.g. by using count.counter to corrupt the buf field of seq_file). Also, some systems might be using the slab_nomerge kernel command line flag, which disables this merging behavior. Another approach that I didn't look
MAI-Thinking-1: Building a Hill-Climbing Machine The Microsoft AI Team 1 Abstract Progress in AI is driven not by a single model, but by the ability to continually improve upon the current state of models. Achieving this requires treating model development as a system-level optimization problem, for which the solution is building a hill-climbing machine for rapid improvement. Our process includes
Eliciting Reasoning in Language Models with Cognitive Tools Brown Ebouky IBM Research - Zurich ETH Zurich Brown.Ebouky@ibm.com Andrea Bartezzaghi IBM Research - Zurich abt@zurich.ibm.com Mattia Rigotti IBM Research - Zurich mrg@zurich.ibm.com Abstract The recent advent of reasoning models like OpenAI’s o1 was met with excited spec- ulation by the AI community about the mechanisms underlying these
Large Text Compression Benchmark Matt Mahoney Last update: Mar. 25, 2026. history This competition ranks lossless data compression programs by the compressed size (including the size of the decompression program) of the first 109 bytes of the XML text dump of the English version of Wikipedia on Mar. 3, 2006. About the test data. The goal of this benchmark is not to find the best overall compress
10月8日、Python 3.14.0がリリースされた。この記事では、Python 3.14の正式リリースと、その主要な新機能や変更点について詳しく紹介する。 10月8日、Python 3.14.0がリリースされた。この記事では、Python 3.14の正式リリースと、その主要な新機能や変更点について詳しく紹介する。 Python 3.14が正式リリース Python 3.14.0は、プログラミング言語Pythonの最新メジャーリリースであり、3.13系から多くの新機能と最適化が加えられた安定版である。公式サイト（python.org/downloads/release/python-3140）からダウンロード可能だ。 _今回のリリースノートには、「3.14（円周率）」をモチーフにしたパイのイラストが添えられている_ 主な新機能 Python 3.14では、多くのPEP（Python En
The future of Python web services looks GIL-free | Hacker News
C code needs to be updated to be safe in a GIL free execution environment. It is a lot of work! The pervasive problem is that mutable data structures (lists, dict etc) could change at any arbitrary point while the C code is working with them, and the reference count for others could drop to zero if *anyone* is using a borrowed reference (common for performance in CPython APIs). Previously the GIL
An Introduction to Modern CMake# People love to hate build systems. Just watch the talks from CppCon17 to see examples of developers making the state of build systems the brunt of jokes. This raises the question: Why? Certainly there are no shortage of problems when building. But I think that we have a very good solution to quite a few of those problems. It’s CMake. Not CMake 2.8 though; that was
Performance of Python programs has been a major focus of development for the language over the last five years or so; the Faster CPython project has been a big part of that effort. One of its subprojects is to add an experimental just-in-time (JIT) compiler to the language; at last year's PyCon US, project member Brandt Bucher gave an introduction to the copy-and-patch JIT compiler. At PyCon US 20
Published as a conference paper at ICLR 2026 AGENTIC CONTEXT ENGINEERING: EVOLVING CON- TEXTS FOR SELF-IMPROVING LANGUAGE MODELS Qizheng Zhang1∗ , Changran Hu2∗ , Shubhangi Upasani2 , Boyuan Ma2 , Fenglu Hong2 , Vamsidhar Kamanuru2 , Jay Rainton2 , Chen Wu2 , Mengmeng Ji2 , Hanchen Li3 , Urmish Thakker2 , James Zou1 , Kunle Olukotun1 1 Stanford University 2 SambaNova Systems, Inc. 3 UC Berkeley {q
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MAI-Thinking-1: Building a Hill-Climbing Machine
Eliciting Reasoning in Language Models with Cognitive Tools
Large Text Compression Benchmark
Python 3.14リリース！Free-threaded Pythonがついに正式サポート、ほか改善点多数
An Introduction to Modern CMake — Modern CMake
Following up on the Python JIT
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models