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Agents are digital manufacturing machines and benefit from the same processes we identified for reliability in the real world
Silverstream is a fast-growing early-stage startup democratizing AI agents. We’re developing a cloud platform to create production-ready, in-house, browser-based AI agents. We’re at an inflection point in our growth and moving quickly. We’re in search of a passionate software engineer who will help scale our platform and influence the core technology. This position can be tailored to either a Senior Software Engineer or a Founding Software Engineer, depending on your experience and career goals.
For more details and to apply, please check the links below:
- Founding Software Engineer : https://silverstream.zapier.app/founding-software-eng
- Senior Software Engineer : https://silverstream1.zapier.app/senior-software-eng
For questions, please reach out to me : jobs at silverstream.ai
Heroku for AI agents
Drop me an email (in the profile)
Show HN: Trick ChatGPT into Embedding GIFs
Alphabet’s DeepMind Lays Off Some Staff, Closes Canadian Office
Ask HN: Who Invented CSS?
Google suggests a person who suggested the idea, who was the first to implement it at a decent scale?
I have been working on this problem for years (2+ as researcher, 2 as PhD student).
The main issue is that evolution is both massively parallel and had plenty of runtime to get to human level intelligence.
The person that pushes this evolution/evolved reward point is Andrew G. Barto and his students/collaborators over the years.
Satinder Singh in particular is actively working on gradient based algorithms to find rewards (e.g. https://arxiv.org/abs/2102.06741)
> Maybe we need to frame RL goals in much more simple terms, and allow genetic algorithms to evolve their own inputs and reward functions on their own.
I was checking HN while the current iteration of this (gradient based, genetic was my master thesis) algorithm, the main complexity is figuring out:
1) What are the sub-goal e.g. grasping things 2) How to solve those goals e.g. motor control 3) How to do something useful, e.g. surviving
Balancing those three processes is the current hurdle.
For more info my email is delvermm at mila.quebec
The growth of the plant follows Space Colonization Algorithm which have been used for rending realistic trees in games. This algorithm is based on a cloud of points which have been inspired by the grown of tree in order to provide a certain attraction to the growing branches.
Autonomous navigation of stratospheric balloons using reinforcement learning
Deep Learning PhD, with Full-stack experience; AI/ML consultant.
I'm looking to work on Computer Vision or Reinforcement learning, would prefer PyTorch projects.
15+ years (~10 professionally) experience of Python I've worked in Robotics, Computer Vision, NLP and Reinforcement learning.
Queries at: [email protected]
Ask HN: How to be reachable only for emergencies
I'm reading deep work by cal newport and I'm trying to implement his advice on allocating times of unreliability for deeper style of work.The problem is that I need to be reachable at any time by 2 persons, no matter what.My first idea was to use SMS only but alas, my ISP shares my number with the whole world and I get one SMS message every other day, another option was to use an external...
personally i love the fact that this competition exists even if only to push research in the field
But I do understand why many Italians are so upset about the amount.
I worked for two years (and paid my share of taxes) to finance my studies I don't understand why you assumed I don't pay taxes.
>are likely to spend everything in local shops
same goes for scholarships, actually more because we don't have families outside the EU
(Turin so yea it's a little cheaper)
I feel like I wouldn't trust the devs there, unless i can verify/get to know them physically outside it would feel like throwing money in the wind and hoping it works