duckkg5
ModPhone (https://getmodphone.com) is redefining business communication by enabling companies to leverage AI-driven agents for smarter, more efficient phone interactions. Our platform processes thousands of phone calls daily, offering businesses a seamless way to stay connected with their customers.
We’re looking for an experienced Full Stack Engineer to join our team. You'll play a critical role in scaling and improving our platform while tackling complex, real-world problems at the intersection of AI and communication.
What You’ll Do
- Build and enhance features across the entire stack (familiar technologies like Django, Node, and React).
- Design and implement robust analytics and reporting systems.
- Optimize and extend integrations with third-party services for our AI-powered phone system.
- Architect scalable, reliable systems to support our growing user base.
- Collaborate closely on API design and implementation to power core platform features.
What We’re Looking For
- 5+ years of professional software development experience.
- Proven expertise in Python and JavaScript.
- Hands-on experience with Django and React.
- Strong understanding of RESTful APIs and microservices architecture.
- Demonstrated experience deploying and managing applications in cloud environments.
- A passion for building user-friendly, reliable, and scalable software.
At ModPhone, we combine cutting-edge AI with intuitive design to help businesses simplify communication. Our smart agents provide businesses with a powerful way to manage calls, automate workflows, and deliver superior customer experiences.
If you’re interested in solving challenging problems, working with a talented and driven team, and being part of an early-stage company with big ambitions, we’d love to hear from you.
Apply - Email your resume and a brief introduction to [email protected].
You can get your own number and customize the agent.
https://www.reddit.com/r/github/comments/1at9br4/i_am_new_to...
It's still tedious to keep Claude Projects up to date, but it seems to be able to generate some actually decent and usable code. Claude helped me build a fairly complex app (https://instantaiphone.com) and get it set up on a server - trying to piece something like this together with Copilot or ChatGPT was MUCH more challenging. I am not super surprised at the conspiracy theories about a new model coming out that would necessitate Anthropic 'lobotomizing' its current model but that take does seem kind of cynical. Copilot has some catching up to do, in my opinion. GitHub needs to release Workspaces soon https://githubnext.com/projects/copilot-workspace
And you're right, I'm not a sales guy. This project is for people like me who want a risk-free place to learn the basics of sales so that when I do talk to an actual human, I won't panic and freeze up like I always do.
I ended up using it for more general purpose things because being able to have a hands-free phone call with an AI turned out to be pretty useful.
It's offline now, but here's the code with all the stack and deployment info: https://github.com/kevingduck/ChatGPT-phone/
Edit: forgot to mention this was all running off a $35 raspberry pi.
Now I look at the cover, back, chapter list, flip through the chapters a few times looking for high-level things that pop out, do it again, then look through the index for things that have lots of references. Then I can start reading the book, and I have a better idea of what I'm in for. Plus it's much easier to be engaged when you aren't so religious about the 'right' way to use a book.
That kind of thing has let me learn stuff I would otherwise feel too intimidated or unsure about.
Summary: A leaked internal document from a Google researcher, shared anonymously on a public Discord server, suggests that both Google and OpenAI are at risk of being outcompeted by open source AI. The document highlights that open source AI models are rapidly advancing and solving major problems, such as running language models on phones, scalable personal AI, and multimodality. These open source models are faster, more customizable, and more capable than their proprietary counterparts, and they are being developed at a fraction of the cost.
The document argues that Google and OpenAI lack a "secret sauce" and that large models are slowing them down. It also points out that the open source community has solved the scaling problem, allowing anyone to experiment with AI models on consumer hardware. The document cites the example of Meta's LLaMA model, which was leaked to the public and led to a flurry of innovation and development in the open source community.
The document concludes that directly competing with open source AI is a losing proposition and that Google should establish itself as a leader in the open source community. It suggests that Google should cooperate with the broader conversation and consider publishing model weights for small variants. The document also notes that OpenAI faces similar challenges and that open source alternatives could eclipse both companies unless they change their stance.