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hurrycane

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[ my public key: https://keybase.io/hurrycane; my proof: https://keybase.io/hurrycane/sigs/tWmkUlyu3vIEZY7yIxQInC0U03kfYidKygli6Db98yQ ]

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www.datologyai.com 5mo ago

Insights from Multilingual Curation for a 20T-Token Dataset

hurrycane
1pts0
www.datologyai.com 6mo ago

DatBench fixes VLM evals: 70% blindly solvable, 42% mislabeled, 35% prod gap

hurrycane
5pts0
www.datologyai.com 6mo ago

DatBench: Cut VLM eval compute by >10× while INCREASING signal

hurrycane
4pts0
www.datologyai.com 7mo ago

Luxical: Lexical-Dense Embeddings for Web-Scale Data Curation (3×–100× Faster)

hurrycane
3pts0
www.arcee.ai 7mo ago

Arcee Trinity Mini: US-Trained Moe Model

hurrycane
70pts15
blog.datologyai.com 11mo ago

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-Scale Pretraining

hurrycane
1pts0
blog.datologyai.com 11mo ago

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-Scale Pretraining

hurrycane
3pts0
www.datologyai.com 1y ago

Image-Text Curation for 1B+ Data: Faster, Better, Smaller Clip Models

hurrycane
12pts0
openai.com 1y ago

Zico Kolter Joins OpenAI's Board of Directors

hurrycane
3pts0
www.moonsense.io 4y ago

Augmenting Segment customer data with behavioral signals using the Moonsense SDK

hurrycane
1pts0
moonsense.io 5y ago

Moonsense Recorder – Build live prototypes using mobile device sensor data

hurrycane
2pts0
urimerhav.medium.com 5y ago

From the Gym to a Jupyter Notebook – Building a Squats Counter App in a Day

hurrycane
7pts0
www.wework.com 5y ago

WeWork to Become Publicly Traded via SPAC

hurrycane
2pts0
blog.twitter.com 6y ago

Reducing indexing latency of Twitter Search to one second

hurrycane
3pts0
blog.twitter.com 8y ago

Twitter meets TensorFlow

hurrycane
206pts68
cloudplatform.googleblog.com 8y ago

5 steps to better GCP network performance

hurrycane
2pts0
research.googleblog.com 8y ago

Feature Visualization

hurrycane
2pts0
research.googleblog.com 8y ago

AVA: A Finely Labeled Video Dataset for Human Action Understanding

hurrycane
44pts6
mobile.nytimes.com 8y ago

Nestlé Targets High-End Coffee by Taking Majority Stake in Blue Bottle

hurrycane
2pts0
github.com 9y ago

CNTK version 2.0 released Featuring Keras

hurrycane
1pts0
tech.instacart.com 9y ago

Deep Learning with Emojis (not Math)

hurrycane
5pts1
github.com 9y ago

TensorFlow v1.1.0 has been released

hurrycane
2pts0
github.com 9y ago

A TensorFlow implementation of the Differentiable Neural Computer

hurrycane
157pts29
opensource.googleblog.com 9y ago

Tf-Seq2seq: An Open Source Sequence-To-Sequence Framework in TensorFlow

hurrycane
3pts0
www.sec.gov 9y ago

Cloudera S-1

hurrycane
4pts0
cloudplatform.googleblog.com 9y ago

Google Cloud Functions: a serverless environment to connect cloud services

hurrycane
1pts0
cloudplatform.googleblog.com 9y ago

Kaggle joins Google Cloud

hurrycane
1pts0
cloud.google.com 9y ago

Cloud Video Intelligence API

hurrycane
259pts87
github.com 9y ago

TensorFlow 1.0 Release Candidate 0 is out

hurrycane
4pts0
www.facebook.com 9y ago

Hugo Barra is joining Facebook to lead virtual reality

hurrycane
173pts82

DatologyAI | Member of Technical Staff | Full-time | Onsite, Redwood City, California | https://www.datologyai.com/

At DatologyAI, we build tools to improve large-scale deep-learning models by selecting the right training data. We are automating data curation at petabyte scale, helping customers to train models faster, to better performance, and enabling smaller models to achieve performance competitive with much larger models. Models are what they eat, and the data models ingest determines everything about their capabilities.

Since founding less than a year ago, we have raised $57.6M, including a $46M Series A in May 2024. Our backers include AI luminaries Geoff Hinton, Yann LeCun, Jeff Dean, and Amazon and Microsoft.

We are hiring: Research Scientist: https://jobs.ashbyhq.com/DatologyAI/d5090b17-8b58-42ee-afa6-...

Data Infra Engineer: https://jobs.ashbyhq.com/DatologyAI/7a64144a-c612-4af8-bdf8-...

ML Engineer: https://jobs.ashbyhq.com/DatologyAI/c64f9ea8-0943-476d-aabd-...

ML Infra Engineer: https://jobs.ashbyhq.com/DatologyAI/b5a42904-d7ec-45a4-96df-...

Full Stack Engineer: https://jobs.ashbyhq.com/DatologyAI/5546e184-6f86-4540-868d-...

See more details on our mission here: https://www.datologyai.com/post/introducing-datologyai-makin...

Unfortunately behind a pay-wall.

Full text:

Fitbit, the leader in the fitness band market, is near a deal to acquire smartwatch maker Pebble, according to three people briefed on the deal.

The price couldn’t be learned but it is thought to be for a small amount. Pebble had been looking to sell, one of the people said. There have been signs over the past year or so that Pebble was facing financial challenges. Earlier this year it reportedly laid off about a quarter of its workforce.

THE TAKEAWAY The expected sale of Pebble to Fitbit signals a consolidation in the wearables market.

The Pebble brand will be phased out after the deal. What Fitbit will get is Pebble's intellectual property, such as its operating system, one of the people said.

The deal signals a consolidation in the wearables space, which has been crowded with several players including Apple and Jawbone. Pebble burst onto the scene several years ago with a flashy Kickstarter campaign that drew interest from consumers. But it struggled to gain traction.

Pebble burst onto the scene several years ago with a flashy kickstarter campaign that drew interest from consumers. Fitbit, which went public last year, has had its own issues. Its stock price which has fallen from a peak of $49 in August of last year to roughly $8 today, giving it a market cap of $1.87 billion. The company recently reported net income fell 61% to $43.5 million in the nine months to Oct. 1, despite a 39% increase in revenue to $1.6 billion. Fitbit's main product is fitness bands but it sells what some have called a smartwatch, pitting it directly against Apple's watch.

Meanwhile, Jawbone, another maker of wearable devices, has also struggled in the past year or two and had looked for a buyer, without success.

Source: http://go.theinformation.com/dfNa4p4B_IY

Last year there were 233,000 petitions. Only 85k petitions are actually accepted each year. Compare that to 172,500 petitions received in 2014 and 125,000 in 2013.

This means the rate of companies that use h-1b has actually slowed down by a lot. I know as a fact that most of the US tech companies that have offices in Europe, are actually transitioning to using L-1 visas and don't apply for H-1b anymore.

If you're a small startup and you want to hire someone who is not a US citizen your options are pretty limited right now.

I had the same issues last around July - August and continued upgrading as they release new versions and somewhere along the way it got fixed.

You can also had to fine tune some timeouts (election and compression if I remember correctly) to get the best performance out it.

We run into the same cost-related problems for our CDN. What we did to solve it was to rent dedicated servers that are near AWS regions. We used Route53 latency based routing to route traffic to that dedicated servers + Nginx + LUA. We're serving 300+ TB of traffic per month and the total price is just a percent of the RubyGems AWS Bill. There is some maintenance included with this solution and the problem is finding the right dedicated server providers.

I always keep an eye on: http://github.com/twitter lots of awesome stuff ranging from frontend stuff to distributed services. Having 100 open source projects and judging by the rate they are putting things out they do have a good engineering team.

A one click information dashboard for every person in the world that uses a computer. I don't live in the US and I feel invaded by this.

It's insane. So if I'm a truly passionate and talented but I'm not a US citizen I don't get to play with the best because only the first 65k get to do it? I bet most of them are applying to big companies and the percent of startups is really small.

"Language tools for handling application-level concurrency" this sounds interesting. Can you recommend a good read about this topic?

PS: I presume the graph drawing library is written in-house, what did you use as the building blocks for it (both for design and implementation) ?