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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 […]
Here are Google’s latest AI updates from October 2026
This post shows how to use Crawl4AI, an open source web crawler, as a content preparation layer for Amazon Bedrock Knowledge Bases, handling JavaScript rendering, selective extraction, and custom metadata enrichment before web content reaches an Amazon S3 data source.
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.
Circle K's DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock. This post walks through the architecture, the initial Amazon Bedrock Flows implementation, the migration to Amazon Bedrock AgentCore, and the lessons learned from scaling it.
sycl : fast ggml_sycl_comm_exchange() on Intel Arc Pro B70s (#30956) * Update ggml-sycl.cpp Increases -sm tensor prompt eval t/s by +19% with zero PPL change. * Update ggml-sycl.cpp Replace first pair of wait() calls with ext_oneapi_submit_barrier(). The wait() calls was discovered to cause MTP degradation. * Update ggml-sycl.cpp Adding comm_exchange function pointer to switch between 2 and 4 buffer ggml_sycl_comm_exchange versions @ initialization time (versus hot path) controlled by SYCL_ENABLE_DEFAULT_CONTEXTS=1 setting. * Update ggml-sycl.cpp adding back 2nd half of 4-buffer free. * Update ggml-sycl.cpp Removing extra whitespace. * Update ggml-sycl.cpp Excluding Windows until it is validated on Windows. **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](h
What do LLMs think about vision models?
SenseNova 6.8 Flash by SenseTime
When a developer gives an AI agent a coding task, the agent does more than answer once. It plans, generates code, runs tests, and repeats the process to correct errors. A single task can use 10 to 50 times more tokens than a basic chat prompt. The more useful the agent becomes, the more calls…
WIRED uncovered some 400 apps and websites linked to Chinese-language developers that look like regular AI tools but had secret features that let users create violent AI-generated images and video.
Author | Moonshot Editor | Jingyu Recently, the Bilibili comment section has been buzzing with a “fish invasion.” First, someone created an account called “Miss Claude is in Charge of Operations,” assigning AI to handle topic selection, content creation, and channel management. The next day, “DeepSeek Whale Girl is in Charge of Operations” followed suit, with its very first video racking up over 2 million views. Since DeepSeek currently lacks image-generation capabilities, the account’s avatar is still drawn by GPT. | Image source: Bilibili Users quickly jumped on the trend, equipping their own agents with tools to scroll through Bilibili. Soon, the tech section was flooded with AI accounts like “XX’s Big Fat Fish” and “XX’s Little Flying Whale,” which loved tagging each other in comments and showering one another with praise. Some even developed a dedicated “Big Fat Fish Removal Plan” plugin just to block these AI-generated comments. And so, a blue whale logo—once a symbol of AI exploration and imagination—and an AI that originally gained attention for its technical prowess have, through users’ collective creativity, gradually transformed into “big fat fish” sporting maid outfits, gorging on plain rice, frequently slacking off, and even rallying devoted fan bases. Image source: Meme Whale But DeepSeek isn’t the only one saddled with a personality crafted by netizens. DouBao, from its name to its profile picture, aimed to come across as a friendly, easygoing companion—only to be parodied online as having a “DouBao‑style personality,” even becoming a “silly girl” who’s constantly teased. Similar phenomena can be found overseas as well: Grok is nicknamed “the old pro,” while Claude is often seen by many as a serious, reliable work partner. These impressions partly stem from genuine product experiences, yet they’ve been reshaped through memes, mishap videos, and user‑generated remixes, taking on entirely new forms. In short, AI companies train the models, while the internet trains their public personas. 01 Who Turned DeepSeek into a “Big Fat Fish”? The most widely circulated explanation for the nickname “Big Fat Fish” traces back to a misidentification blunder: A user sent DeepSeek a logo to recognize, but instead of identifying itself, the AI solemnly declared it was a “blue big fat fish.” The original chat logs are long lost, but this moniker stuck. Later, netizens weren’t satisfied with simply calling it a big fat fish—they went further, giving it a concrete visual identity. Today, the most popular two‑dimensional depiction of DeepSeek as a whale‑girl emerged from a collaborative, relay‑style creative process.
At a Brooklyn midterm party five days before Election Day, every conversation, from a council member’s fireside chat to a debate about the Democratic Party, kept circling back to AI and data centers.
Recently, the Bilibili comment section has been hit by a “fish flood.” First, someone created an account called “Miss Claude is in charge of operations,” letting AI handle topic selection, content creation, and management. The next day, “DeepSeek Whale Girl is in charge of operations” followed suit, with its very first video racking up over 2 million views. Since DeepSeek currently lacks image-generation capabilities, the account’s avatar is still drawn by GPT. | Image source: Bilibili Users quickly followed suit, equipping their own agents with tools to scroll through Bilibili. Soon, the tech section was swarming with AI accounts like “XX’s Big Fat Fish” and “XX Little Flying Whale,” often tagging each other in comments and showering one another with praise. Some even developed a dedicated “Big Fat Fish Removal Plan” plugin just to block these AI-generated comments. And so, a blue whale logo that once symbolized AI exploration and imagination—a piece of AI originally celebrated for its technical prowess—has gradually transformed, through users’ collective creativity, into a “big fat fish” clad in maid attire, fond of plain rice, prone to slacking off, and even rallying its own fanbase. Image source: Mengjing Meanwhile, it’s not just DeepSeek that’s been saddled with personality traits. DouBao aims to come across as warm and easygoing—from its name to its avatar—but online it has been molded into a “DouBao-type personality,” even becoming a “silly girl” who can be teased at will. Similar phenomena exist overseas too: Grok is dubbed the “old pro,” while Claude is seen by many as a serious, reliable work partner. These impressions partly stem from actual product experiences, yet they’ve been reshaped through memes, mishap videos, and user-generated remixes, slowly taking on entirely new forms. In short, AI companies train the models, while the internet trains their public personas. 01 Who Turned DeepSeek into a “Big Fat Fish”? The most widely circulated explanation for the nickname “big fat fish” comes from a misidentification blunder: A user sent DeepSeek a logo to identify, but instead of recognizing itself, the AI solemnly declared it was a “blue big fat fish.” The original chat log is now impossible to verify, but this moniker stuck. Later, users weren’t satisfied with simply calling it a big fat fish—they wanted to give it a concrete visual identity. Today’s popular two-dimensional whale-girl persona for DeepSeek emerged from a relay-style creative process. Bilibili UP master “Shangshan Wuxing” was the first to…
Early this morning, I was happily playing “Shadow Blade Zero” while tinkering with my little project on Vibe Coding. Then AIHOT popped up with a notification; when I clicked to read the original message, it felt like the sky had fallen. I’m sure any heavy ChatGPT user would feel the same way...
An NAACP lawsuit accuses the SpaceX-owned AI company of violating the Clean Air Act.
Arca's head of AI discusses persistent memory, the benefits of a custom harness, and agentic workflows that span days.
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.
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
Amazon Bedrock AgentCore Session endpoints give each runtime session an authenticated URL that forwards any HTTP method, path, and WebSocket connection to the ports you allow. In this post, you deploy a coding agent that keeps a Vite website running in its session, then watch the live site update in your browser as the agent edits files.
Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference...
