Location: San Diego, CA, USA or Remote
Remote: Preferred but not required
Willing to relocate: Yes
Technologies: Python, golang, AI, robotics, ROS, GCP, AWS, Terraform, Pulumi, React, Vue, Typescript, Computer Vision, Reinforcement Learning, tensorflow, pytorch
Resume: https://github.com/hlfshell/resume
Portfolio: https://hlfshell.ai/projects
Current startup: https://hiredcoach.ai
Email: [email protected]
I am an experienced systems-focused software engineer who builds and integrates cloud solutions, AI tooling, composable agent frameworks, and robotics-oriented software, capable of building either the low level pieces or of full on orchestration for AI workflows. I have a strong background in cloud SaaS products, robotics, reinforcement learning, AI, and more.
Just launched a startup/life style business where I use AI to help people practice for upcoming interviews - https://hiredcoach.ai
Already have been told by some users that the interview prep they got from it has correctly predicted several of the actual interview questions they got, crediting its prep for their breezing through the interview rounds.
What's missing from this explanation is that the corporate tax rate was also much higher, but R&D dramatically cut down profit that would be taxed and was taxed lower. So large corporations like Bell Labs and co would basically say "do we give the government X in taxes, or do we spend X on research?". They chose research, so we got the technology that powers our world.
That, combined with stock buybacks and the general take over of Friedman-economics resulted in a far more focused short term thinking and outsourcing research as much as possible due to uncertain horizon risks.
The generally accepted term for the research around this in robotics is Constitutional AI (https://arxiv.org/abs/2212.08073) and has been cited/experimented with in several robotics VLAs.
There's shilling a product because someone handed you a bag, and then there's building a product you believe in. You feel okay with it because it's clearly the latter versus another NordVPN commercial. Even if the product ends up failing (and I am under no predilection to believe this will) he has presented nothing but honest enthusiasm towards his goal that you can't help but root for it.
He's gone all in on the Crunch Labs brand, which is kind of built around the younger audience. This isn't a bad thing, but it does mean that older edutainment enjoyers kind of age out of his stuff. Not to say there's no value in them, but there will be more of an entertainment focus than prior edutainment focused videos.
I recommend checking out Stuff Made Here; great build videos of engineering principles in an entertaining fashion to show building cool complicated stuff.
Xyla Foxlin, a wonderful maker, also posts educational videos between her projects, like an in-depth look at how plane wings work.
Taking a break from my agentic AI framework for prototypes and makers arkaine(1) and made two fun useful apps for myself
1. Eli5 equations(2) uses an LLM to convert a given picture of an equation to latex and, if given additional context, breaks down the equation parts to explain it. Gemini for the model.
2. reflecta - a journal prompting app with deepseek to help reword and target the prompts towards you better.
It's only a problem if we live in a society where people's perceived value, and thus capability of living a healthy, full life, is tied to their productivity to produce profit for an increasingly shrinking pool of people and organizations.
Which is what we have, hence the problem.
Yes, AI has the potential to screw things up royally. But do not mistake its' exacerbation of symptoms as the true illness.
The issue is that as music progresses and changes so too does distribution networks. Traditional, or even nontraditional to those from the pre spotify internet days, pipelines of music discovery have been largely co-opted by industry. Outlets of organic discovery are different now - and people typically don't continually keep changing their habits enough to keep up with it.
Pair this with the fact that most people settle their musical tastes to be in line with when they are experiencing the most emotionally significant time in their early lives (high school for some, college for others, etc) and the result is an assumption that
A) What they encounter forms an overall opinion of "all" new music despite being the tip of the iceberg and
Google (Alphabet's) stock price has generally gone up 200% in the past 5 years. That is the only reason he is there, and that is the only way he is judged.
I've seen this being researched under the term Constitutional AI, including some robotics papers (either SayCan or RT 2? Maybe Code as Policies?) that had such rules (never pick up a knife as it could harm people, for instance) in their prompting.
The reason the time (blitz) games make sense is because the distilled functionality is of a 50ms Stockfish eval function. The engine likely would perform worse as only the human would benefit from the additional time.
As for limited search tree I like the idea! I think it's tough to measure, since the time it takes to perform search across various depths vary wildly based on the complexity of the position. I feel like you would have to compile a dataset of specific positions identified to require significant depth of search to find a "good" move.
I am an experienced systems-focused software engineer who builds and integrates cloud solutions, AI tooling, composable agent frameworks, and robotics-oriented software, capable of building either the low level pieces or of full on orchestration for AI workflows. I have a strong background in cloud SaaS products, robotics, reinforcement learning, AI, and more.