> In 1967, Robert Salas, now 84, was an Air Force captain sitting in a walk-in closet-sized bunker, manning the controls of 10 nuclear missiles in Montana.
> He was prepared to launch apocalyptic strikes should Soviet Russia ever attack first, and got a call around 8 p.m. one night from the guard station above. A glowing reddish-orange oval was hovering over the front gate, Salas told Kirkpatrick’s investigators. The guards had their rifles drawn, pointed at the oval object appearing to float above the gate. A horn sounded in the bunker, signaling a problem with the control system: All 10 missiles were disabled.
> Salas soon learned a similar event occurred at other silos nearby. Were they under attack? Salas never got an answer. The next morning a helicopter was waiting to take Salas back to base. Once there he was ordered: Never discuss the incident.
> When activated, this device, placed on a portable platform 60 feet above the facility, would gather power until it glowed, sometimes with a blinding orange light. It would then fire a burst of energy that could resemble lightning.
So:
- They built at least one 60 foot tower in close proximity a control panel for 10 nuclear missiles and didn’t tell the guards to be ready for it.
- They used a novel directed energy weapon on multiple silos that shot lightning, this worked, was never declassified, and we’ve never heard of it since.
DUMP FRATINEL (commonly referred to as DUMP) was a pseudonymous hacker and cybersecurity researcher. His publicly traceable activity dates back to DEF CON 2. He became known for work involving satellite communications, forensic IT analysis, and open-source intelligence (OSINT).
The true identity of DUMP FRATINEL has never been confirmed. It is speculated that the name may refer to a single person or a collective using the same alias across different contexts. Following the death of the Pope, various forums and darknet communities noted renewed signals of activity under the DUMP pseudonym.
This has led to speculation about a potential reactivation or symbolic return, possibly tied to contemporary Anonymous circles.
Let's find him now!
I recently launched FlowTrack — a lightweight AI tool that helps small business owners manage inventory by simply uploading their invoices (PDFs, images, etc). The system auto-extracts product names, quantities, prices, and suppliers, then organizes it into a clean dashboard so you can track stock in real-time.
It’s built for people who are still using spreadsheets (or nothing at all) to manage inventory. No setup required, and it works out of the box for small retailers, resellers, e-commerce sellers, and wholesalers.
You can check it out at https://useflowtrack.io
Free beta for early users
Would love feedback from anyone here — especially small biz owners or indie hackers!
Let me know what you think, what you'd improve, or if you’ve built something similar. Happy to answer questions.
> This isn't some new frontier that needs exploring, its well understood at this point
This is where I started to think this was trolling and that it would soon devolve into overly satirical commentary to prove the opposite point. I was surprised it didn't do this. I'm very interested in this defeatist mentality, welp we know it's impractical we should stop trying. It's not only ignoring the advancements that manned space exploration has brought but seemingly ignores how advancements are done in general for all of human existence. This mindset would have us living in caves after a few hardships.
You could argue we know enough now but this overestimates how much humans know especially with respect to space
It's surprising how common 1% event is. Local supermarket has parking lot that only sees 1/4th of it's capacity used daily, but events have it filled up to the brim at least a few times a year. A jitter happening "only" 1% of the time in a game can mean several hitches a _second_, on a webserver you can have several hundred bad customer experiences a second
I did this partly to build a hopefully useful tool and partly to explore what one can build with AI-assisted coding tools.
The tool is a bit rough. It can probably use more features and probably needs some bug fixes. A lot of both of those can be done with AI-assisted coding, but AI-assisted coding still needs human ideas to kickstart the process. This is why I posted it, I’m hoping to get a bit of interest and that people will think of interesting ideas and that it will help drive the MCP ecosystem forward.
At one place you mentioned, if a test is updated by AI, you reject the PR. How do you know if it was generated or updated by AI.
From the article I only got that it's a git commit message convention to add that but that too is only at commit level.
Does anyone have any thoughts on privacy/safety regarding what he said about GPT memory.
I had heard of prompt injection already. But, this seems different, completely out of humans control. Like even when you consider web search functionality, he is actually right, more and more, users are losing control over context.
Is this dangerous atm? Do you think it will become more dangerous in the future when we chuck even more data into context?
I’ve released a mathematical compression system called Lethein. It compresses files—not by removing redundancy—but by reducing them to their numeric coordinate in number space, and expressing that number using recursive exponential logic.
It eliminates the need for payload storage entirely. Files are reconstructed deterministically from a seed, making compression ratios independent of entropy and improving with file size.
Lethein is independently developed, fully lossless, and released as an open system.
It’s mathematically clean and doesn’t use AI, heuristics, or training data—just logic.
Would love critical review or implementation discussion.
My 2 cents: "Learning CUDA" is not the interest bit. Rather, you want to learn two things: 1) GPU hardware architecture, 2) parallelizing algorithms. For CUDA specifically, there is the book CUDA Programming Guide from Nvidia, which will teach you the basics of the language. But what these jobs typically require is that you know how to parallelize an algorithm and squeeze the most of the hardware.
Supplying even current kinds of fast chargers is not possible done naively; local charging stations split whatever their capacity is between the cars that are plugged in, but allowing for the potential of one or two of those 200kW cars if no others are adjacent.
Roughly the same total amount of energy is needed within the same period of couple days either way, having the capacity to charge faster when possible should be a good thing.
>Do you get full speed if it's below freezing?
I live somewhere where it's reasonably regularly -30F and no electric car does well neither charging nor distance despite claims of battery pre-heating and such. You have to pick a car for the environment it's going to be used in.
I’m disappointed and confused as to why countries would impose things like 100% tariffs on vehicles, especially Chinese ones. Their labor force is massive and they can iterate and build much better machines than anyone else, so rather than a tariff helping the local economy, it’s going to cripple it in a relatively short amount of time due to lateral advancements in technology that facilitate every-day cars being built. Smaller countries don’t have the manpower to keep up. So what’s the point of this?
You won't be able to comment but it will show you what officials, companies and "experts" have said about a particular event. There are a bunch of other features too.
I don’t usually believe in recommending things, but this time I was completely shocked. I never thought my partner might be cheating on me. It all changed when someone suggested I contact Chloe. I reached out to her at [email protected]. She gained full access to my husband’s social media accounts without him knowing. When I saw what was there, I couldn’t believe how many men are really terrible. It left me heartbroken and realising I had been blind.
Too many SaaS tools only react after a client is angry, churned, or left a damaging review. I built Client Rescue AI to flip that: it predicts emotional risk before it turns into fallout.
It scans written messages (support logs, survey feedback, chat history, etc.), scores them for emotional risk, and sends smart alerts + suggested rescue messages you can actually use to intervene.
It’s plug-and-play, doesn’t need training, and works with even small datasets. Kind of like a therapist + strategist for your client relationships, embedded into your CRM.
Curious if this resonates with founders here—especially those who’ve been blindsided by a client departure or a 1-star review you wish you saw coming earlier.
Feedback welcome. Open to integrations or ideas from this crowd too.
Lot of comments complaining that going from O(n^2) to O(log n) is not an exponential improvement, but it is indeed an exponential improvement. In fact O(n) is exponentially more than O(log n).
