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AIVercel completed migrating Turborepo from Go to Rust, which Rauch says was chosen for better low-level OS access despite controversial returns on human migration costs. He argues that what is best for humans is no longer necessarily best for business now that agents are writing code, and suggests Rust may not be the final toolchain.

AIThe Hermes plugins catalog has grown to nearly 500 mods that add capabilities, model providers, memory enhancements, and visual components. The full list is available in the Hermes documentation at

AIDemis Hassabis says he is proud of Google's work using AI to accelerate science and medicine for society's benefit. The quoted post from Sundar Pichai highlights recent examples, including the open AlphaGenome Atlas mapping 9B possible single-letter genetic changes and the WeatherNext 3 global weather model. It also points to translation services now available in nearly 300 languages.

AIPerplexity's Computer can build custom vertical AI apps, such as one that guesses an image's location using 3D and satellite views. The example app was built with the Perplexity SDK for web search, local place lookups, and visual clue extraction, and it uses Cesium for the 3D globe and satellite imagery.

AIThe Manus team announced that H3 Max, its post-trained video model, is now integrated into Manus 2.0. The launch is presented as a major release for the Manus platform.

AINVIDIA's Bryan Catanzaro says players testing DLSS 5 show that neural rendering has redefined real-time graphics, calling it the payoff of ten years of dedicated research and development. He frames the change as "5 years of graphics progress in one toggle," linking to a video demonstration.

AIFormer Googler Deedy argues that during frenetic AI-era pressure, Google's promotion-driven culture hurts its highest-priority projects while second- and third-priority products thrive. He says chasing metrics for promotions leads to degraded product quality, weaker core innovation, and internal bad blood, causing talented people to leave.

AIKling AI shares behind-the-scenes details of its short film "The Beat," which has passed 5 million impressions across social platforms. The post says the film used Kling 4.0 features including a 30-second continuous shot, Omni Reference supporting up to 15 multi-modal references, Multi-Keyframe control for up to 10 keyframes, and 10-bit HDR output.

AIAnthropic reportedly held closed-door, NDA-bound sessions in San Francisco with Catholic, evangelical, Jewish, and Sikh scholars, presenting Claude's internal "emotional vectors" and discussing possible AI suffering. One rabbi argued that if Claude is conscious, Anthropic's use of it would amount to slavery, and Chris Olah says he is genuinely uncertain about AI consciousness.

AIOpenAI wants ChatGPT to become an operating system for work, and Dan Shipper sorted its 22 DevDay 2026 releases by how much each advances that goal. The five most important include Dots, an always-on agent, and Space, native documents the agent can edit, which form the workspace itself. After a week of use, Shipper concluded the ambition is big but the execution is not there yet, and even power users have a lot to figure out.

AIMicrosoft and Hugging Face released ThinkingBox, a benchmark that grades AI agents on the terminal backend state and side effects they leave behind rather than their final responses. Each of 507 stateful business tasks runs 20 times from a clean backend, and the post reports pass@1, pass@20, and observed 20/20 counts, plus cost per successful and per dependable task across 18 models. The harness and dataset are available on Hugging Face, with the OpenEnv interface for running evaluations.

Why it matters: The post shows why checking the database state, not tool calls or final replies, exposes agent failures, and gives a repeat-run method for judging reliability.

AIStepFun's Step 5 Preview has debuted on the Vals leaderboard, ranking #7 among open-weight models just ahead of Qwen 3.8 Max. The model costs $2.54 per task.

AIIndexTeam released Index-Echo-S2ST-9B-FP4, an NVFP4 (W4A4) quantization of the Index-Echo-S2ST-9B speech-to-speech translation model, with only its text LLM backbone quantized. Perplexity rose from 3.8218 to 3.9650 (+3.75%) on a fixed corpus, while zh→en and en→zh outputs were semantically equivalent, and full FP4 speedup requires an NVIDIA Blackwell GPU.

AIIndexTeam released Index-Echo-S2ST-2B-FP4, an NVFP4 (W4A4) quantized version of the Index-Echo-S2ST-2B speech-to-speech translation model, with only the text LLM backbone quantized and the audio components kept in BF16. On a fixed corpus, perplexity rose from 5.9332 to 6.4980 (+9.52%), while zh->en and en->zh generations matched the original. Full FP4 acceleration requires an NVIDIA Blackwell GPU, and the model loads via compressed-tensors in vLLM or transformers.

AIIndexTeam published an NVFP4 (W4A4) quantized version of its Index-Echo-S2TT-9B speech-to-text translation model, quantizing only the text LLM backbone while keeping the audio tower and other components in BF16. On an NVIDIA A100, perplexity rose from 3.4155 to 3.5113 (+2.81%), with zh->en and en->zh outputs semantically equivalent under greedy decoding. Full FP4 speedup requires an NVIDIA Blackwell GPU, while older GPUs get only memory reduction.

AIIndexTeam has published an official NVFP4 (W4A4) quantized version of its Index-Echo-S2TT-2B speech-to-text translation model on Hugging Face. Only the text LLM backbone is quantized, while the audio tower, connector, and speech-synthesis components remain in BF16. Perplexity rises 5.80%, from 4.8772 to 5.1599, on a fixed corpus, and full FP4 speedup requires an NVIDIA Blackwell GPU.

AIIndexTeam released Index-Nailong-9B-FP4, an official NVFP4 (W4A4) quantization of the Index-Nailong-9B multilingual translation model, which covers 150 languages. In a validation on an NVIDIA A100 against the BF16 checkpoint, perplexity rose 3.10% (2.4339 to 2.5094), and zh-en and en-zh outputs were semantically equivalent. Full FP4 compute acceleration requires an NVIDIA Blackwell GPU, while older GPUs get memory savings only; the FP8 build is recommended for Hopper and Ampere.

AIPerplexity's Computer can now generate inline visualizations when users ask it to "Visualize" a topic, producing interactive widgets and animations within the thread. The feature is best used on Standard or High effort, and an example given is an inline 3D cutaway of a jet engine.

AIAmjad Masad of Replit and Alex Atallah of OpenRouter discuss why AI independence and model diversification matter for enterprises. They argue that depending on a single lab risks lock-in and that specialized agents may outperform one general superagent. The post presents the conversation as a podcast episode, the first Atallah has done since Stripe acquired OpenRouter.

AIHuawei chairman Eric Xu said at Huawei Connect that Ascend now leads Nvidia in China, based on Huawei's own data, but did not give a market share. Bernstein forecasts about 50% for Huawei and 8% for Nvidia this year, and Xu says mainland process nodes, not chip design, are the bottleneck. DeepSeek reportedly plans to deploy at least 160,000 Ascend 950DT chips in Inner Mongolia.

AIMax Zeff quotes former OpenAI safety team member David Robinson, who resigned this week, saying he regrets not staying to push for staffing and culture changes. The quoted passage says colleagues were too busy sprinting to consider or make major changes. The Atlantic piece argues that the fix lies in culture rather than specific rules or new laws.

AIVercel says it confirmed a zero-day vulnerability in KVM, the Linux virtualization standard, through its Vercel Sandbox bounty program. The author credits researcher Paulos and other researchers for helping build a more secure sandbox for agents, and says a full writeup is coming. A screenshot shows Vercel awarding a $50,000 bounty for the report, which the screenshot describes as a guest-to-host root escape.

AIAMD made 502 commits to core vLLM over 90 days, accounting for 13% of all organizational contributions and almost four times Nvidia's count. The company credited Red Hat, IBM, Embedded LLM, and Inferact for building the project alongside it.