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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 […]
Configuring and optimizing Kubernetes for new GPU hardware such as NVIDIA Vera Rubin is complex and error-prone. Drivers, kernels, runtimes, networking,...
Today, we are announcing the Special Interest Group (SIG) for Ray on hardware accelerators. When Ray was created in UC Berkeley over 10 years ago, the computing landscape looked very... The post Announcing the Special Interest Group (SIG) for Ray on Accelerators appeared first on PyTorch.
Here are Google’s latest AI updates from October 2026
LangChain CEO Harrison Chase shares insights into the biggest harness engineering challenges with the emergence of proactive agents.
Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level knowledge distillation (SeqKD) to transfer a frontier teacher's agentic behavior into a small, lower-cost student on Amazon SageMaker AI.
NVIDIA DSX AI Factory Platform brings together technologies to help the ecosystem design, build, and operate more efficient AI factories, including open source,...
TechCrunch Founder Summit happens on November 4 in Boston for a founder-focused agenda and impactful connections. Save up to $100 or get discounts with group passes.
Chatbots are often quite good at retrieving the information you want from the web. But sometimes you’ll get better results by typing your query into a good old search engine.
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.
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...
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...
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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.
Google LLC, Microsoft Corp., Anthropic PBC and OpenAI Group PBC today announced plans to support an upcoming website crawling standard. The technology will enable website operators to block artificial intelligence developers from using their content to train their models. Many websites contain a text file titled “robots.txt” that informs crawlers what content they may access. […] The post Google, Anthropic and others to support new AI crawling opt-out standard appeared first on SiliconANGLE.
Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference...
AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions,...
Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces...
Enterprises racing to put AI agents into production are discovering that role-based access control, not model choice, decides whether those agents can be trusted. Rising inference costs, privacy worries and sovereignty demands are also pulling more AI workloads back inside corporate data centers. That shift favors companies that have spent years governing sensitive data at […] The post The race to deploy AI agents finds a familiar hurdle in data access appeared first on SiliconANGLE.
Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps.
