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Sometimes I am struck by the weirdness of our dystopian present.

Before AI Exploits Our Chats, Let’s Learn from Social Media Mistakes | TechPolicy.Press Privacy in the age of conversational AI is a governance choice, write Hugging Face's Lucie-Aimé Kaffee and Giada Pistilli.

Great piece from @frimelle.bsky.social and @giadapistilli.com

Our use of AI is still in the early stages and none of what is to come is preordained. We can paint a different future for ourselves that is better than the dreary present of Web 2.0.

There is nothing "Fun Sized" about the smaller Milk Duds box. A true horror story, that is.

Note to my present self On walking away from success, wandering with purpose, and the things worth not scaling

Beautiful post from @yewjin.bsky.social

"Success is a lousy navigation system for the second half of life."

Potentially a lousy system for any half of your life, but more pressing as time goes on.

I like this very much. theoatmeal.com/comics/ai_art

From Files to Chunks: Improving HF Storage Efficiency We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Today, we've finalized this first phase of migrating the Hub to a new, modern storage system. One that's built to scale with AI builders of today and tomorrow. huggingface.co/blog/from-fi...

There's still a lot of work to do, but we're excited for what's next. 💪

Graph showing the conversion of Hugging Face repositories from LFS storage to Xet storage.

The Hub is on 100% on Xet. 🚀

A little over a year ago, @hf.co acquired XetHub to unlock the next phase of growth in models and datasets. huggingface.co/blog/xethub-...

In April, there were 1,000 Hugging Face repos on Xet. Now every repo (over 6M) on the Hub is on Xet.

418 I'm a teapot - HTTP | MDN The HTTP 418 I'm a teapot status response code indicates that the server refuses to brew coffee because it is, permanently, a teapot. A combined coffee/tea pot that is temporarily out of coffee should...

Just a reminder that this is a legit status code

AI-Generated “Workslop” Is Destroying Productivity Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appea...

The rise of AI-generated workslop.

A postmortem of three recent issues This is a technical report on three bugs that intermittently degraded responses from Claude. Below we explain what happened, why it took time to fix, and what we're changing.

Nice breakdown by the @anthropic.com team of a few recent infra bugs that led to the worst nightmare of any engineer: "random, inconsistent degradation."

Good reminder that these genies still rely on solid infrastructure, good evaluations, and constant monitoring.

Decades later and Garfield has still got it.

Anthropic is the only leading AI lab to not release a reasonable open weights model. Is notable that pretty much everyone has a touchpoint here now.

Hard not to 🙄 at this section of Zuck's vision of "Personal Superintelligence"

"Personal devices like glasses that understand our context because they can see what we see, hear what we hear, and interact with us throughout the day will become our primary computing devices."

This also serves as a reminder to myself that I owe a round of "Thank you"s to all the talented designers I've worked with over the years.

Ready Xet Go - a Hugging Face Space by jsulz This app helps you monitor the progress of migrating repositories to Xet, showing you stats and charts on migration status and file types.

We just crossed 1 million repositories backed by Xet storage on @hf.co

I celebrated by reviving the early 2000s web design aesthetics that I love so much. Here's our dashboard showing our progress converting the Hub from Git LFS to Xet (and demonstrating my questionable design sensibilities).

The Bitter Lesson versus The Garbage Can Does process matter? We are about to find out.

Perhaps the bitter lesson about all organizational design is that all you need is a garbage can of chaos.

On agency Or, how to handle being sentenced to freedom, and handle it effectively, and authentically, and responsibly

Loved this post from @henrikkarlsson.bsky.social

"There have been a series of experiences that have helped me realize more of my agency, but I think the most important one was becoming a father"

💯💯💯💯

A sneaky part of making this all work is our backward compatibility with Git LFS. This allows us to roll out a significant protocol change without forcing workflow changes

We call this the Git LFS Bridge internally, and like our migration process, it's power is in its simplicity.

You can see over the past few months some of the biggest migrations show up in our cluster throughput.

Each spike corresponds to a significant migration (where we download from LFS and upload to Xet) with the baseline steadily increasing to just shy of 100 Gb/s

The engine behind moving from Git LFS to Xet is our migration process. It's simple, powerful, and has moved well over a dozen PB just by itself. Here's a high level view of how it works.

Migrating the Hub from Git LFS to Xet We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We've moved the first 20PB from Git LFS to Xet on @hf.co
without any interruptions. Now we're migrating the rest of the Hub. We got this far by focusing on the community first.

Here's a deep dive on the infra making this possible and what's next: huggingface.co/blog/migrati...

Three Mighty Alerts Supporting Hugging Face’s Production Infrastructure We’re on a journey to advance and democratize artificial intelligence through open source and open science.

A look into monitoring/observability at @hf.co

Some fun tidbits in here, like how we use our NAT gateway as a cost sentinel. Cloud infra costs are no joke.

465 people. 122 languages. 58,185 annotations!

FineWeb-C v1 is complete! Communities worldwide have built their own educational quality datasets, proving that we don't need to wait for big tech to support languages.

Huge thanks to all who contributed!

huggingface.co/blog/davanst...

The mystery of em‑dashes: part two with quantitative evidence A couple of weeks ago I made an assumption: the rise of em‑dashes in AI‑generated text happened because model providers started scanning older, pre‑Kindle books.

"A close friend has used em-dashes since our days in college, and yet every time they include one in a text to me, I can't help but think, "Did an LLM write this?"

Further proof that cute animals are the great distractors.

How Long Contexts Fail Taking care of your context is the key to building successful agents. Just because there’s a 1 million token context window doesn’t mean you should fill it.

More context, more problems. www.dbreunig.com/2025/06/22/h...

‘Hey man, I’m so sorry for your loss’: should you use AI to text? Artificial intelligence has entered the personal chat. What does that say about human relationships?

On using AI for personal messages: “We want to just write a prompt and have it done. And there’s something that we are losing – it’s the process. And in the process, there’s many important aspects. It is the co-construction of ourselves with our activities”

How does one test the quality of the tapes? Are you forced into watching each one, end-to-end?

Privacy concerns are legitimate and need to be addressed, but a larger part of me is concerned about the social, cultural, and cognitive impacts of a "magic genie bot that is going to take care of the exigencies of life"

I do not, but if a cute dog showed up and asked for treats, I would go broke.

Everyone has their weakness.