Jacob Marks retweeted
开车的人都懂,踩油门的时候很爽,看到加油账单的时候就清醒了😂
@tankdotcash 这条预告倒是抓住了痛点:能源涨价让大家多掏的钱,有没有机会通过另一种方式补回来?
一句“我们即将回馈你”,再配上这辆黄色的 tank.cash 座驾,悬念确实拉满了。
我更期待接下来公布的具体玩法:怎么参与、怎么回馈、能给用户带来什么实际价值。先关注,等官方揭晓
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Jacob Marks retweeted
Watching this project closely.
Basically you can get money back on gas fees you've paid.
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- robinhood:0xaa07a0e9209e16ac99708c3ec70159c6ef3128a3 and $SHROOM pairs are now live on Wire.
you can pair your next launch with either through @ponsdotfamily.
which one are you launching with?
trywire.family
Jacob Marks retweeted
been talking with @ericbolling about Republic Fund and showed him what we're building around @TrumpAccounts.
he likes the idea and said he knows some people around Trump Accounts that he might be able to put us in front of.
he also said if everything works the way we've laid it out, he'd be interested in talking about getting involved.
things are starting to get interesting.
Jacob Marks retweeted
The Republic Fund flywheel, coming to @RobinhoodCrypto
Every trade generates fees.
Fees build the treasury.
The treasury funds children’s @TrumpAccounts.
Every contribution gets published with proof.
More trades. More fees. More funded accounts.
Jacob Marks retweeted
Voxel51 announces the close of Series B funding led by @BessemerVP and including @drivecapital, @TopHarvestCap, Tru Arrow Partners, & more! We're thankful for our amazing investors and community, and excited to continue making #visualai a reality.
voxel51.com/press/voxel51-ra…
#ai
By combining @Voxel51's open source computer vision toolkit with Atlas Vector Search, developers can quickly perform vector similarity searches across billions of features with just a few lines of code, both in Python and via pp. Excited to partner with Voxel51!
Jacob Marks retweeted
If you use @albumentations in your library or product we would be happy to add a page to our docs on how to use @albumentations in synergy with your tool.
Example:
@QuantumMarks wrote
docs.voxel51.com/integration…
About integration in @Voxel51
We cross-posted to our docs
Jacob Marks retweeted
🚀 Big news at @Voxel51! We're now hiring AI researchers & scientists to join our new science team.
As FiftyOne has amassed a 2M+ install-base, I’ve had the luxury of interacting with many hundreds of open source and corporate users, learning about significant gaps in building performant AI solutions. Our new science team will work toward rectifying these gaps through foundational innovations, which we will publish and bring to the community through FiftyOne.
All science. All publishable. All open source.
🧠💡 Excited? Learn more and apply now! medium.com/@jasoncorso/voxel…
Hands-on tutorial on clustering visual datasets using embeddings, with Scikit-learn, FiftyOne, and CLIP!
🔗 voxel51.com/blog/how-to-clus…
#computervision #ai #ml #DataScience
Jacob Marks retweeted
🔍 New Blog: Observations on MLOps – A Fragmented Mosaic of Mismatched Expectations. A journey into the complexities of #MLOps, exploring the vibrant yet challenging world of AI/ML in production, from a technical academic outsider!
👉 Read more: medium.com/@jasoncorso/obser…
Jacob Marks retweeted
Check me out on FrontLines frontlines.io/podcasts/jason… where we talk about the fun and challenges of operating an AI startup in a /noisy/ time, with an academic background.
OpenAI's CLIP is cool, but have you heard of OpenCLIP, MetaCLIP, Data Filtering Networks, ALIGN, or K-LITE??
Check out today's article on the history of CLIP model training data advances!
🔗 voxel51.com/blog/a-history-o…
Jacob Marks retweeted
The vast majority of the world’s data is unstructured. Learn how the integration between @Voxel51 and MongoDB Atlas enables the processing and analysis of visual data across billions of features with just a few lines of code. ⬇️
mongodb.social/6016Xqgbo
Data augmentation is hard... so test your transformations before training!
Want to know how? Check out my latest post on using @albumentations and FiftyOne to avoid the perils of blind data augmentation!
🔗 voxel51.com/blog/data-augmen…
Incredible advice for any researchers trying to stay afloat in the sea of new "advances"!
There were more than 11K research papers in the top machine learning and computer vision conferences in 2023. WOW!
How can you read that many papers? How can you retain what you read? Check out my new article for answers!
medium.com/@jasoncorso/how-t…
Really provocative piece by UMich computer vision professor @ProfJasonCorso
Annotation is dead.
Human annotation is largely responsible for the current AI boom, but is the need for human annotation gone?
I wrote a long-form article on the future of human annotation in ML medium.com/@jasoncorso/annot…




















