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Anthropic has updated Claude Code's system prompt to prevent the AI tool from being used to recreate existing video games, as reported by Tom's Hardware. Retro gaming is currently being overrun with AI-made decompilations, recompilations, and ports, but while Anthropic will still let people use Claude Code to make games, it doesn't want people to […]
What do LLMs think about vision models?
Jay, reporting from AoFeiSi, QbitAI | Official Account QbitAI: “Enabling AI to think like Newton”—this goal may finally be within reach. A research team led by Professors Qi-Zhi Yao and Yang Yuan at Tsinghua University has developed a groundbreaking project called the “Algebraic World Model” (A....
AI is reversing everything: from software and games to information gateways. #Follow the iFanr official WeChat account: iFanr (WeChat ID: ifanr) for more exciting content delivered to you第一时间.
Who verifies the verifier? This is the age-old question for anyone involved in the verification of semiconductor systems. Who verifies AI? The post Putting AI To The Test appeared first on Semiconductor Engineering.
By leveraging engineering optimizations, we reduce customers’ actual expenses.
The DeepSeek Harness team published a technical long-form article titled “Exploring Super-agent Design: Toward More Autonomous Agent Systems” on their official WeChat account, and open-sourced the MIT-licensed prototype dsh-superagent-prototype. The team emphasized that this is an engineering-oriented research prototype, not a ready-to-use product. Internally, they have already run example instances to reproduce defects and conduct code reviews; even without being explicitly mentioned, the system can detect potential bugs and reproduce them in the background. The team pointed out that the bottleneck for multitasking lies with humans, not the model; mainstream agents still operate on a per-session basis, leaving individual sessions isolated from one another.
Faced with the rapid advancement of artificial intelligence, only by keeping the power of choice and responsibility firmly in human hands can humanity avoid quietly and willingly walking down a path leading to enslavement.
GPT-6.1 Terra According to Phoenix News Technology, on November 2nd Beijing time, multiple users posted on X, claiming that OpenAI appears to have already begun testing the GPT-6.2 Astra model. Currently, the latest model publicly released by OpenAI is GPT-....
Editor｜Panda still hopes Claude Opus 5.5 can help you create a GTA 5, but that might not be so easy… On October 30, user Chasm posted that around October 27, Anthropic’s AI programming tool Claude Code received a new rule pushed from the server side: Claude can help users develop original games, but it will no longer assist in recreating any specific existing game—even if the user renames it or claims it’s “original.” This post quickly surpassed 2 million views. Anthropic has confirmed this. A rule hidden in the configuration file and impossible to disable—here is the exact text of Claude’s new rule: Do build original games, games in a genr...
Before reading, remember to follow + star ⭐️ so you can receive updates第一时间 every day. Karpathy has finally resurfaced. Dissatisfied with the low-quality content recommended by YouTube, Karpathy kept his hands off and let Claude build an entirely new YouTube alternative in just two hours. https://karpathy.bearblog.dev/hacker-tube/整个开发和部署过程，他连一行代码都没有敲，终端命令也没碰过。周五深夜11点，Karpathy想...
Enabling AI to think like Newton
IT Home reported on November 1 that Exin Therapeutics, a biotech startup focused on next-generation neural therapies, claimed this week that it had successfully used an AI agent to perform brain surgery on a mouse. The company’s co-founder and CEO, Gabriel Ocana-Santero, shared the entire process on X, demonstrating how the AI agent selected the gene therapy vector, dosage, and target brain region. The AI agent controlled a robotic arm...
llama : enable tensor split for LFM3 (#31431) Assisted-by: Claude Opus 5.5 **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/
A cutting-edge technology paper interpretation column by Penguin Think Tank, under Tencent Technology. At the intersection of code and business, we seek certainty in AI. Written by Boyang Edited by Xu Qingyang Lately, if you only follow news from the fields of theoretical mathematics and physics, it feels like...
The artificial intelligence buildout is making an enormous bet on what businesses will eventually be willing to pay for intelligence. In our research this summer on forecasting the AI bubble, we argued that a key indicator to watch is productive utilization by enterprise customers. Specifically, we said at the time, if infrastructure supply catches up […] The post Can enterprise AI pay for the boom? appeared first on SiliconANGLE.
Factory released Droid 1.0, a model-independent coding agent harness that makes programmatic tool calling the default. On Factory’s own Terminal-Bench 4 runs, Droid scores 65.2% with Claude Opus 5.5 at $4.73 per passed task. The post Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode appeared first on MarkTechPost.
Translation | Lin Qibei Editor | Cai Fangfang On October 13, Felix Rieseberg, an engineering manager at Anthropic and the engineering lead for Claude Cowork, published a blog post urging users to be “more ambitious” when working with AI. He shared this article on X, where it has already garnered over 5 million views. In his view, it’s not enough simply to make AI work faster; we also need to rethink: what ultimate goal is this task meant to achieve? And could we incorporate more...
chat : strip the think block in the qwen3-coder with reasoning_format none (#31380) * chat : accept the think block in the qwen3-coder response format with reasoning_format none Assisted-by: Claude Opus 5.5 * chat : define both qwen3-coder think block variants up front **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12019/llama-b12019-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12019/llama-b12019-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12019/llama-b12019-xcframework.zip) **Linu
dbreunig/nesformer Inspired by qwenputer by Divyansh Agrawal, Drew Breunig baked a working emulator for a Nintendo Entertainment System 6502 CPU into the weights of Qwen3.5-4B. You can now play NES ROMs such as Super Mario Bros (very slowly) running inside Qwen! In a comment on Hacker News Drew reveals the Opus 5.5 prompts he used to build this system: Read this article and any relevant source code: https://divagr.com/blog/qwenputer. Then explore if you could emulate the chip and ram in a Nintendo Entertainment System (as people do today with FPGAs in MISTRs) using this technique. If so, what size model would you have to build and if you could use smaller faster ones, could you get it to be at the standard clockspeed. Followed by: I think we should build it! Just for fun. It's okay if it's
