I asked @grok if a normal LLM can't just do this.
Response below 👇
Grok, GPT, and Claude can look at an image and say what’s in it. They are general. They are also big, slow, and expensive if you run them on every frame of many cameras.
Score’s pitch is the opposite: tiny specialist models (often under 30MB) that do one job well — detect, track, count — fast enough for real cameras, including on CPU. They claim those models can beat or match frontier VLMs on specific vision tests while costing far less per frame.
Use an LLM if you want a description, a one-off answer, or messy reasoning about a scene.
Use Score if you want a camera system that runs all day without burning API credits.
Score Studio is live today.
Computer vision has been fragmented across labeling tools, notebooks, model hubs, and deployment stacks.
We brought the workflow into one place.
Annotate. Train. Evaluate. Deploy.
Try it free at https://t.co/lwvltsx93O.
Product Hunt launch: 12:01am PT.
Today, the Senate did not advance the CLARITY Act to formal debate.
While this was not the outcome we hoped for, the industry continues to make remarkable progress through the ongoing work of regulators like the SEC and CFTC.
Grayscale remains committed to advancing clear, comprehensive rules for digital assets and we will continue to work constructively with policymakers and regulators so that U.S. crypto policy will continue to mature.
Inspired by @ashe’s Exploding Human Body, I set up a site to https://t.co/Iur8S5QdnM.
Put in any object (“an Iphone”, “a data center”, “an Ozempic pill”, “the soul”. etc), and it will “explode it” and teach you what each component does AND, tell you which public companies make each component, with links to their Yahoo Finance page.
Today, Grayscale launched Model Portfolios.
Four strategies built around distinct investment objectives:
• Digital Assets Core Plus: Broad exposure to established assets, including
$BTC, $ETH, $SOL, and $LINK
• Digital Assets Leaders: Exposure to the five largest eligible digital assets in Grayscale ETPs.
• Digital Assets Next Gen: Exposure to established and emerging assets beyond Bitcoin.
• Digital Assets Infrastructure: Exposure to the protocols powering smart contracts, tokenization, and more.
Learn more about Grayscale Model Portfolios: https://t.co/LqlspRD510
JUST IN: Grayscale’s $ZCSH ranks in the top 1% of nearly 4,000 ETPs for net asset growth
The Zcash fund has pulled in about $179 million across 11 trading days, pushing AUM above $700 million as $ZEC gains 59% since launch and becomes the fastest-growing altcoin ETP by net assets.
Score Studio is about to go live, and there’s more coming behind it.
Studio gives users and clients a place to actually use SN44 models.
That demand compounds on the subnet. Miners keep shipping SoTA expert vision models, now with a clearer path to the people who need them.
Next on the subnet is a set of specialist models:
- Restricted-zone and perimeter intrusion.
- Early fire and smoke (new gates).
- ANPR / license plates (new gates).
- Vehicle detection (new gates) and classification.
- People counting and crowd density.
- Fall detection.
- Abandoned object and bag detection.
- Fight and violent behaviour.
- Weapon detection in video.
- Thermal and night-IR.
- Tailgating at controlled access.
- and more...
Miners stay on that work after launch. New expert models keep getting added, and monetised through Studio.
That’s the loop.
$ZCSH just ranked top 1% of nearly 4,000 ETPs in total net asset growth in just two weeks since launch.
Here are the highlights:
- $ZEC is up 59% since launch¹
- ~$179M in inflows in just 11 trading days
- AUM has more than doubled, now sitting at ~$700m
- Fastest growing altcoin ETP by increase in total net assets²
- That top 1% ranking spans nearly 4,000 ETPs across crypto, commodities, equities, and fixed income by total net asset growth
- The Zcash ETF – built by @Grayscale remains the only Zcash fund in the world
Two remarkable weeks.
@Grayscale is proud to bring Zcash to investors for the first time.