“It’ll soon personalize recommendations via your Hugging Face profile and send you a daily top-10 digest.”

#15 𝕏 Clem 🤗 highlights HuggingNews, an AI-curated feed by @ivan_bezdomny that cuts through the noise to surface the top AI stories. It’ll soon personalize recommendations via your Hugging Face profile and send you a daily top-10 digest. #16 𝕏 Google DeepMind digs into neural network interpretability on its latest podcast, where @fryrsquared and @NeelNanda5 unpack chain-of-thought “scratch pads,” mechanistic reverse-engineering techniques, safety auditing methods, and next steps for understanding model reasoning.

“clem 🤗 – Co-founder & CEO @HuggingFace launched the SkyPilot-HF Storage integration, enabling one-line provisioning of multi-cloud GPU clusters with seamless, cached mounting of Hugging Face datasets and repositories.”

𝕏 clem 🤗 – Co-founder & CEO @HuggingFace launched the SkyPilot-HF Storage integration, enabling one-line provisioning of multi-cloud GPU clusters with seamless, cached mounting of Hugging Face datasets and repositories. #15 𝕏 Boris Cherny rolled out `/checkup` in Claude Code to automate cleaning unused skills/MCPs/plugins, deduping and splitting CLAUDE. #16 𝕏 clem 🤗 – Co-founder & CEO @HuggingFace celebrates zml.ai by @steeve launching an inference engine integrated with Hugging Face’s storage layer, driving faster, cheaper, and more efficient open-source model inference.

“clem 🤗 – Co-founder & CEO @HuggingFace shows that since fully replacing git storage with HF Xet around Nov 25, AI builders are already storing massive data volumes on the platform.”

GenAI PM Daily July 07, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 20 insights for PM Builders, ranked by relevance from Blogs, X YouTube, and LinkedIn. #18 𝕏 clem 🤗 – Co-founder & CEO @HuggingFace shows that since fully replacing git storage with HF Xet around Nov 25, AI builders are already storing massive data volumes on the platform. He expects this growth to scale into the exabyte range soon.

“#4 𝕏 clem 🤗 unveiled 250 key US-created open AI milestones—from “Attention Is All You Need” and PyTorch to GPT-2, LLaMA, ImageNet, and LoRA—showing how open science, competition, and ecosystems powered American innovation.”

#4 𝕏 clem 🤗 unveiled 250 key US-created open AI milestones—from “Attention Is All You Need” and PyTorch to GPT-2, LLaMA, ImageNet, and LoRA—showing how open science, competition, and ecosystems powered American innovation. #7 𝕏 clem 🤗 argues that by mutualizing spending and compute through open science and open-source AI, labs can run training an order of magnitude more efficiently than closed-source, siloed frontier efforts.

“clem 🤗 – Co-founder & CEO @HuggingFace launched FLARE, a coalition with MIT, Stanford, Princeton, Harvard, Northeastern, Carnegie Mellon and others to introduce a standardized AI flaw‐reporting system that pushes one report to the right developers, safety orgs, and registries...”

#21 𝕏 clem 🤗 – Co-founder & CEO @HuggingFace launched FLARE, a coalition with MIT, Stanford, Princeton, Harvard, Northeastern, Carnegie Mellon and others to introduce a standardized AI flaw‐reporting system that pushes one report to the right developers, safety orgs, and registries...

“clem 🤗 spotlights the @vllm_project semantic router on Hugging Face and argues that open-source, customizable multi-model routing could shift AI value capture from a few expensive frontier models to a diverse long-tail ecosystem.”

clem 🤗 spotlights the @vllm_project semantic router on Hugging Face and argues that open-source, customizable multi-model routing could shift AI value capture from a few expensive frontier models to a diverse long-tail ecosystem. #24 𝕏 clem 🤗 just rolled out a new Hugging Face Model Hub feature that lets you filter models by hardware (CPU, GPU, TPU, etc.), making it easier to find device-compatible models.

“#17 𝕏 clem 🤗 – Co-founder & CEO @HuggingFace notes that instead of just regulating open-source AI, the US government is now training and releasing its own models, as demonstrated by the Rampart privacy model.”

#17 𝕏 clem 🤗 – Co-founder & CEO @HuggingFace notes that instead of just regulating open-source AI, the US government is now training and releasing its own models, as demonstrated by the Rampart privacy model.

“#9 𝕏 clem 🤗 urges PM builders to take the next step by post-training their own open-source models for tailored AI capabilities.”

#9 𝕏 clem 🤗 urges PM builders to take the next step by post-training their own open-source models for tailored AI capabilities.

“clem 🤗 – Co-founder & CEO @HuggingFace warns that AI’s biggest risk is the concentration of power, capabilities, and economic wealth in governments and trillion-dollar companies.”

#18 𝕏 clem 🤗 – Co-founder & CEO @HuggingFace warns that AI’s biggest risk is the concentration of power, capabilities, and economic wealth in governments and trillion-dollar companies. He applauds @usv and partners for launching a “rebel alliance” to decentralize AI development.

“clem 🤗 open-sourced Kog’s 2B-parameter Laneformer model on Hugging Face, demonstrating latency-first inference at over 3,000 tokens/sec.”

Hugging Face appears as the repository/platform for open-source model releases. It is also referenced in a NVIDIA item about training on Transformers v5.