371–380 of 914 posts
I looking mainly for European market that is willing to self host your content or the model on your own servers, we will provide the technical support in doing so that and easily plugin the AI powered search or chatbot to the website.
But it is also possible to use servers provided by us to host the content and the LLM models.
What is really cool about it is that it natively capture connections between atomic ideas and evolve them. Which I believe it gets me one step closer to syntopic reading machine.
Features:
- No Sign-Up Required + Instant PDF download
- Live PDF Preview
- Shareable Links
- Multiple Templates (incl. Stripe-style)
- Flexible Tax Support (VAT, GST, Sales Tax, and custom tax formats with automatic calculations)
- Multi-Language (Support for 10+ languages and all major currencies)
- Mobile-Friendly
GitHub: https://github.com/VladSez/easy-invoice-pdf
On holidays finished adding flexible tax support + other improvements: https://github.com/VladSez/easy-invoice-pdf/pull/163
Would love feedback, contributions, or ideas for other templates/features =)
I've live deployed an AI-constrained governance system on Ethereum mainnet - and I was hoping to share this with the community.
If this is NOT the right place.. please let me know if there is a better alternative in sharing my full repository.
https://github.com/thetaicore/tai-constitutional-architectur...
I’m working on Security Level 5 (SL5), which is basically “nation state grade security” for frontier AI systems. The core idea is that if a model’s weights or training artifacts could enable catastrophic harm, you should treat them like top-tier secrets and secure them accordingly. One piece I helped with is SenL, a “sensitivity level” framework for AI labs. It’s like a practical clearance system for AI assets. Not e…
> The core idea is that if a model’s weights or training artifacts could enable catastrophic harm, you should treat them like top-tier secrets and secure them accordingly. My read here is that you're implying that if an attacker has access to, for example, weight data, they can invariably find a way to exploit it. If that's a correct assumption, I think you're playing an unwinnable game, since attackers always have i…
I think this is exactly why some of the work is moving away from “assume unrestricted API inference forever.”
For example, we’re prototyping ideas like air-gapped or very low-bandwidth inference gateways, where interaction happens over narrow channels (serial, optical, audio, etc.), with explicit threat models and monitoring. The point isn’t that this’s practical for today’s models, but to reason about what inference might look like for AGI/ASI-level systems where the risk profile is fundamentally different.
Others are thinking along similar lines too. For example, this SPAR project on constrained and minimal inference pathways: https://sparai.org/projects/sp26/rec7NyTst8Upfp83l
I'm working on https://fullremote.it , which started as a side project and is now turning into a real business. It's an "italian-oriented" curated remote-jobs and remote-work community, currently ~10k subscribers across newsletter and Telegram. What began as "let's share good remote roles" is evolving into paid job postings, sponsorships, and coaching for companies and devs. Do you know you can hire remotely in Italy…
It's not letting me subscribe
Was really impressed with Claude ability to port models from cuda PyTorch to MLX, so that’s what I have been doing last three weeks; basically I have Mac to test ported models and Gradient vm with PyTorch and Nvidia gpu, Claude can run code in vm, investigate layers and deep analyze the model mechanics and then reimplement them on local Mac with MLX. So far completed port of various models mainly in audio domain, ach…
I built the running app I always wanted: https://runcoach.fly.dev You get tailored running schedules and also some body weight strength workouts and healthy meals all in one!
Error Invalid input: 1 validation error for PlanRequest current_km Input should be greater than 0 [type=greater_than, input_value=0.0, input_type=float] For further information visit https://errors.pydantic.dev/2.5/v/greater_than