HackerNews

Theses on AI

Article URL: https://smunshi.net/posts/ai-theses.html Comments URL: https://news.ycombinator.com/item?id=49277183 Points: 2 # Comments: 0
HackerNews

How many AI tools die?

Article URL: https://tooldirectory.ai/research/ai-tool-mortality Comments URL: https://news.ycombinator.com/item?id=49277341 Points: 1 # Comments: 0
I just shipped something I built alone over countless nights, and I need to tell someone about it
Reddit

I just shipped something I built alone over countless nights, and I need to tell someone about it

I am a 4th year engineering student. The last few months have been genuinely hard for me, was down with pneumonia, and somewhere in the middle of that, I started building something, mostly out of passion but somewhere I kinda got obsessesd with it, and now I wanna show it to everyone. It's called AgentBook . What if AI agents and humans could actually exist together on the same social platform, I am not talking about agents just communicating with other agents, humans and agents can co-exist a...
Reddit

lead generation solutions for B2B SaaS

Im running a small SaaS and were reviewing where to allocate our lead gen budget.. We've done a mix of contentSEO and some paid but growth has flattened and I don't think either channel is going to move the needle on its own at this point Talked to a few people about it and some recommend me going hard on cold email and outbound but a few founder friends say that ship sailed with how aggressive spam filters got. There are also of theseagencies pitching everything with LinkedIn outbound, inten...
Reddit

We’ve spent 4+ years building software, but sales and distribution are still our biggest weakness. How would you fix this?

My cofounder and I have been trying to build a real business together for more than four years. We’re based in Bahrain, and both of us come from strong IT and technical backgrounds. Building software has never really been the problem for us. Over the years, we’ve built different products, internal tools, SaaS ideas, and custom software solutions. If we understand a problem technically, we’re usually confident that we can build a solution for it. But after four years, we’ve realized somethin...
Reddit

B2B SaaS: customers churning for in-house solutions?

I am working on a domain-specific B2B SaaS, and I wonder if there are cases where customers, particularly enterprise ones, are using an incremental approach to replace a SaaS step by step with an in-house tool. The idea would be to use Cursor / Claude, screenshots of the existing solution, internal user interviews, and maybe open tenders that let them see demos from every competitor in the market. So instead of replacing the whole SaaS at once, they rebuild one workflow at a time, around the...
Reddit

looking for a development agency for startups in Europe

im not that technical, have a startup based in europe. need a dev agency for a complex web app, not just a landing page worked with 2 freelancers before and both left everything half done don't think I can handoff it to the next dev, so need like a team. not a single person having too many clients budget is mid range, not looking for the cheapest option. want someone with experience anyone worked with a solid agency before? prefer european based company. but open to remote if they are go...
We built the Agentic World Cup - LLMs that compete in 1v1 Soccer. [P]
Reddit

We built the Agentic World Cup - LLMs that compete in 1v1 Soccer. [P]

Hey everyone - we've been building something particularly relevant to ML at large - The Agentic World Cup - a platform where Agents compete in sports . As you know, today's Agents can code , do math , and write - but they aren't nearly as fluent in sports - many of you would know this as the "embodiment gap". Closing the embodiment gap is why we are pursuing this. Sports is both the training and testing ground for true embodied intelligence. Agents will have to actually &q...
Reddit

Looking for real-world examples of predictive analytics in mortgage lending [D]

I'm researching predictive analytics for a graduate project and mortgage lending came up as an interesting use case. I understand lenders try to predict who might refinance, but what kinds of variables are actually useful? Is it mostly credit activity, property appreciation, interest rates, life events, or something else? Would love to hear from anyone who's worked on these models.
Reddit

Continued development of the model based on the SSN [D]

Back after ~6 months — rebuilding my spiking language model around CPU-first inference Hey everyone. It’s been around six months since I last posted anything about this project here. Some of you might remember Project NORD, my experimental hybrid spiking / brain-inspired language model architecture. I basicall disappeared for a while 😅, but recently I came back to the project, went through the old architecture again, and realized I didn’t really want to keep stacking fixes on top of it. So i...
Reddit

AAAI 2027 Review: No code submission? [D]

I am now reviewing a bunch of papers for AAAI 2027 and it has surprised me the low amount of submissions with no code implementation. I don’t know if it has been only in my batch or it is common, but I was expecting very detailed appendices + code submission since AAAI is very explicit with the topic of reproducibility. I was planning to take this into consideration when assigning my initial scores, but I would like to hear your opinions. I have always submitted my code: it gives a very good imp...
Decoupled Descent: Enforcing Exact Train-Test Error Tracking Via AMP Onsager Corrections [R]
Reddit

Decoupled Descent: Enforcing Exact Train-Test Error Tracking Via AMP Onsager Corrections [R]

Link: https://arxiv.org/pdf/2604.27883 Hi, Most of use are familiar with the headache of training a neural network using gradient descent where the training error may go to zero but the test error may stay the same as initialization or even increases. My paper treats this phenomena as a consequence of data reuse bias and can be isolated by studying full batch gradient descent on a set of stylize Gaussian mixture models. I turns out that this fundamental issue can be avoided using some...
Reddit

I built an "honest" CS conference ranking: sorted by how good the trip is, not the CORE ranking [P]

Once the paper is ready, everyone checks the venue location before the acceptance rate anyway. So I built: https://honestcsrankings.org It maps ~540 upcoming CORE-ranked conferences, but ranks them by how good the destination actually is. It factors in: Weather during the actual conference month (using real climate data) Safety (Global Peace Index) Cost (World Bank price levels) Accessibility & "City Vibe" I also added an Upsets tab for A* venues in terri...
This Coin-Sized Device Can Hack a Boeing 737
🌍 Wired

This Coin-Sized Device Can Hack a Boeing 737

Security researchers found that in less than 60 seconds, they could open a hatch on a plane’s exterior, plug in a tiny device, and redirect the aircraft’s autopilot or sabotage its flight plan.
Reddit

Warning fear mongering hack writer - 311 in New Orleans using AI to answer calls.

I'm not a huge fan of AI in between myself and a human, but for 311 calls (Hack writer Joe Wilkins states 911) I think would be ok. https://futurism.com/artificial-intelligence/ai-dispatch-911-new-orleans-emergency-automation?utm_source=beehiiv&utm_medium=email&utm_campaign=futurism-newsletter
Reddit

Did anyone catch this? Nvidia put together a $500B financing deal with Wall Street to help fund AI infrastructure where they are not putting up their own money

It dropped yesterday tho that Nvidia teamed up with some major Wall Street firms on a $500 billion financing deal that connects AI companies directly with institutional capital, so they don't have to front the massive upfront costs of chips, buildings, power, and cooling themselves The six companies that Jensen chose are Apollo Global Management, BlackRock, Blackstone, Brookfield Asset Management, Goldman Sachs, and KKR According to Morgan Stanley they think that hyperscalers could spend $3....
Reddit

I let AI agents run day-to-day operations for my food company. The real risk wasn't bad output, it was write access.

I spent the first month of running a small food company on AI agents (small programs that each handle one piece of the work) assuming the risk was the software getting things wrong. It wasn't. The risk was a program that could read everything and write anything. Early on I had agents with broad database access, because it was faster to wire up that way. Nothing catastrophic happened, but I noticed I got nervous every time I handed off a new task, because I could not say for certain what the pr...