Will Held

@williamheld.com

Modeling Linguistic Variation to expand ownership of NLP tools Views my own, but affiliations that might influence them: ML PhD Student under Prof. Diyi Yang 2x RS Intern🦙 Pretraining Alum NYU Abu Dhabi Burqueño he/him

In a new blog, Russell Power explains how the Marin team nearly doubled its sustained TPU usage by creating a custom global scheduler: Iris. Iris searches every region where Marin has compute, places each job wherever capacity appears, and moves data along as needed. 🔗 openathena.ai/blog/cluster...

Bild

To train better open models, we need predictable scaling. Delphi is Marin’s first step: we pretrained many small models with one recipe, then extrapolated 300× to predict a 25B-param / 600B-token run with just 0.2% error. Getting there took some work 🧵

Super interested to what degree this interaction can be fine-tuned into models in a non-reversible fashion! Voice cloning is unfortunately a capability which inherently shows up in pretrained audio models. It would be great to be able to largely limit the capability at the level of model weights!

Margaret Mitchell@mmitchell.bsky.social · 9mo ago

🤖 Did you know your voice might be cloned without your consent from just *one sentence* of audio? That's not great. So with @frimelle.bsky.social, we brainstormed a new idea for developers who want to curb malicious use: ✨The Voice Consent Gate.✨ Details, code, here: huggingface.co/blog/voice-c...

Ornate line drawing of a fence and gate, with fleur de lis tips. The gate says CONSENT where the family name usually is.

I'm in Vienna for #ACL2025! My work is all presented tomorrow, but today you'll find me today at the poster session from 11-12:30 evangelizing my labmate Yanzhe Zhang's work on his behalf. If you're interested in the risks traditional pop-up attacks present for AI agents, come chat!

A while ago I mentioned that for marin.community project, this gradient increase led to problematic loss ascent which we patched with Z-loss. I was curious, does AdamC just work? So over the weekend, I ran 4 experiments—130M to 1.4B params—all at ~compute-optimal token counts...🧵

Marin

marin.community

Sung Kim@sungkim.bsky.social · last yr.

Why Gradients Rapidly Increase Near the End of Training During long-duration Large Language Model (LLM) training runs the gradient norm increases rapidly near the end of training. In this short note, they show that this increase is due to an unintended interaction between weight decay,

I've only seen Veo 3 (or any other video generation model) used to produce viral videos. The fake videos seem to successfully trick the majority of commenters and have no visible watermark or disclosure of AI use.

🚨 70 million US workers are about to face their biggest workplace transmission due to AI agents. But nobody’s asking them what they want. While AI R&D races to automate everything, we took a different approach: auditing what workers want vs. what AI can deliver across the US workforce.🧵

Bild

Based on current administration policies, China is about to have an influx of returning talent and a accelerated advantage in research investments. You need to be both sinophobic and irrational to expect the US to continue as the global scientific powerhouse with these policy own-goals.

https://www.nature.com/articles/d41586-020-00084-7
Joshua Weitz@joshuasweitz.bsky.social · last yr.

How bad will it be? Catastrophic. Proposed cuts to #NSF, #NIH, and #NASA will set the US R&D landscape back 25 yrs+, cause economic and job loss now, and undermine innovations to come. But, this is the WH's *proposed* budget. Speak up now before it is too late. (inflation adjusted $-s below)

NSF, NASA and NIH budgets per year, inflation adjusted from 2000-2025 along with the proposed cuts. NSF includes research component only. Massive cuts across all sectors, well below support spanning 25 years.

"“From time-to-time instances will arise in which the society, or segments of it, threaten the very mission of the university & its values... In such a crisis, it becomes the obligation of the university as an institution to oppose such measures & actively to defend its interests and its values.”

DrDinD.bsky.social@drdind.bsky.social · last yr.

Bravo, to Stanford faculty, led by physics, to ask their administrators to stand up and fight Trump. stanforddaily.com/2025/05/22/f...

How much faster would the science of large-scale AI advance if we could open-source the *process* of building a frontier model? Not just the final models/code/data, but also negative results, toy experiments, and even spontaneous discussions. That's what we're trying @ marin.community

Bild

It feels worth conference organizers running a study to see if this significantly impacts reviewer scores. I hope things like this are placebos, but if not we need to seriously consider whether existing peer-review processes for big ML conferences are providing value.

Bild

How does the public conceptualize AI? Rather than self-reported measures, we use metaphors to understand the nuance and complexity of people’s mental models. In our #FAccT2025 paper, we analyzed 12,000 metaphors collected over 12 months to track shifts in public perceptions.

Bild

Financial Times: "Since 1990, America has lost over 5 million manufacturing jobs. In that time, it has gained 11.8 million roles in professional and business services, and 3.3 million in transportation and logistical activities, linked to multinational supply chains." #EconSky

Bild

The Model Context Protocol is cool because it gives external developers a way to add meaningful functionality on top of LLM platforms. To limit test this, I made a "Realtime Voice" MCP using free STT, VAD, and TTS systems. The result is a janky, but makes me me excited about the ecosystem to come!