HN user
Túlio Ribeiro dos Anjos Software Engineer, currently contracted through Velozient
https://tulio.org
mail@tulio.org
Oddsquake: live dashboard for fast prediction-market moves and related catalysts.
https://oddsquake.com
wingetdb: fast static index for Windows Package Manager packages.
https://winget.tulio.org
I’d just like to add, and this may interest you both, that I’m not disagreeing with either of you. When 3.5 Flash first showed up in AI Studio, its model card said it had a March 2026 knowledge cutoff. After the backlash over it apparently knowing nothing past December 2024, the card was changed to read: “Knowledge cutoff: Unknown.” Maybe the timing was coincidental, but I doubt it.
Weird choice of SSIM/RMSE. By feeding these back into the model, the agent is actively degrading its artistic output. This is only valid for the target reference I think?
Alternatively, I think much better results could be had by computing the cosine similarly using DINOv2 ONNX (@xenova/transformers).
My guess is that the results are greatly limited by relying on the current metrics.
Even better, attach toModelOutput directly to drawTool so it returns the rendered canvas image immediately upon drawing.
Didn't know a rocky planet in the habitable zone of a red dwarf could retain atmosphere against intense stellar stripping.
Red dwarfs are known to be cooler (the habitable zone is therefore closer) and unstable.
I don't think LHS 1140b is "Earth-like" at all. Rather, it's more like a mini-Neptune, being boiled off by its star.
Edit: JWST emission spectroscopy of LHS 1140b as it passes behind its star rules out a mini-Neptune. https://arxiv.org/abs/2406.15136
Thanks for doing the work and hosting this. This will very quickly become one of my daily drivers.
HN clients are one of the most popular projects. I’m gonna agree with some of the other comment: this is nothing new.
I don’t think the Firebase HN API has rate limits. By the way, how many concurrent requests are you doing?
LG’s guidelines state:
- “Your app should only collect the minimum user data required for providing service and should avoid collecting unnecessary data.”
- “LG performs security reviews on submitted apps before distribution, using the vulnerability analyzing system.”
- “All app developers must complete and submit well-defined and comprehensible data safety information detailing collection, usage, and sharing of user data.” They explicitly classify the "IP address" under Device Identifier Information.
https://webostv.developer.lge.com/develop/guides/privacy-gui...
Blatant lies.
Cloudflare shows a 59/41 split: https://radar.cloudflare.com/adoption-and-usage?dateStart=20...
HE shows 41% ASNs support v6: https://ipv6.he.net/
What’s up with case 09058169? Seems like a 5 minute fix
"I, a notorious villain, was invited for what I was half sure was my long-due comeuppance." -- Best opening line of a technical blog post I've read all year.
The narrator's interjections were a great touch. It's rare to see a post that is this technically deep but also so fun to read. The journey through optimizing the aliasing query felt like a detective story. We, the readers, were right there with you, groaning at the 50GB memory usage and cheering when you got it down to 5GB.
Fantastic work, both on the code and the prose.
Sweeteners are processed food. Timeline shows more processed food hitting the market, period. Obesity rises. Coincidence? Doubt it.
It's not just the sweetener itself. It's the whole shift. More processed crap in everything, sweeteners included. Cheaper, easier, engineered to be addictive. That's the real change that lines up with the weight gain.
Focusing just on sweeteners is missing the point. They're just one piece of the bigger processed food takeover. That's the simpler, more likely explanation.
People are worried AI is making us dumber. You hear it all the time. GPS wrecked our sense of direction. Spellcheck killed spelling. Now it’s AI’s turn to supposedly rot our brains.
It’s the same old story. New tool comes along, people freak out about what we’re “losing.” But they’re missing the point. It’s never about losing skills, it’s about shifting them. And usually, the shift is upwards.
Take GPS. Yeah, okay, maybe you can’t navigate with a paper map anymore. So what? Navigation isn’t about memorizing street names. It’s about getting from A to B. GPS makes that way easier, for way more people. Suddenly, everyone can explore, find their way around unfamiliar places without stress. Is that “dumber”? No, it’s just… better navigation. We optimized for the outcome, not the parlor trick of knowing all the streets by heart.
Same with the printing press. Before that, memory was king. Stories, knowledge – all in your head. Then books came along, and the hand-wringing started. “We’ll stop memorizing! Our minds will get soft!” Except, that’s not what happened. Books didn’t make us dumber. They democratized knowledge. Freed up our brains from rote memorization to actually think, analyze, create. We shifted from being walking libraries to… well, to being able to use libraries. Again, better.
Now it’s AI and coding. The worry is, AI code assistants will make us worse programmers. Maybe we won’t memorize syntax as well. Maybe we’ll lean on AI to fill in the boilerplate. Fine. So what if we do?
Programming isn’t about remembering every function name in some library. It’s about solving problems with code. And AI? Right now, it’s a tool to solve problems faster, more efficiently. To use it well in its current form, you need to be better at the important parts of programming:
- Problem Definition: You have to be crystal clear about what you want to build. Vague prompts, vague code. AI kind of forces you to think precisely.
- System Design: AI can write code snippets. As of right now, designing a whole system? That’s still on you. And that’s the hard part, the valuable part.
- Testing and Debugging: AI isn’t magic. At least, not yet. You still need to test, validate, and fix its output. Critical thinking, still essential.
So, yeah, maybe some brain scans will show changes. Brains are plastic. Use a muscle less, it changes. Use a new one more, it grows. Expected. But if someone’s scoring lower on some old-school coding test because they rely on AI, ask yourself: are they actually worse at building software? Or are they just working smarter? Faster? More effectively with the tools available today?
This isn’t about “dumbing down.” It’s about cognitive specialization. We’re offloading the stuff machines are good at – rote tasks, memorization, syntax drudgery – so we can focus on what humans are actually good at: abstraction, creativity, problem-solving at a higher level.
Don’t get caught up in nostalgia for obsolete skills. Focus on the outcome. Are we building better things? Are we solving harder problems? Are we moving faster in this current technological landscape? If the answer is yes, then maybe “dumber” isn’t the right word. Maybe it’s just... evolved. And who knows what’s next?
I'm fine with and approve the usage of LLMs in academia, as long as they provide genuine value and something new to the field. These tools should be embraced when they can augment human intellect.
However, I draw a firm line at using them to generate complete academic works or nonsensical content, as that undermines the integrity of research and renders it devoid of originality. LLMs should serve as invaluable assistants to free up scholars for higher-order analysis, not as replacements for human ingenuity.
Amazing. Now do that to sorting algorithms.
life is not just a rare happenstance, but a predictable outcome of the universe's own chemical dance
That's seriously impressive! The level of expertise and dedication involved in such a project is truly a remarkable and inspiring feat of engineering.
I know the jokes, but I can't tell you because I'm afraid to get banned from here
A lot of people don’t realize that caffeine is not the only substance that affects our body when we drink coffee.
There is also paraxanthine, which is a metabolite of caffeine that has a similar half-life and similar effects.
Paraxanthine can increase lipolysis, which means it breaks down fat and releases fatty acids into the bloodstream. It can also enhance alertness, mood, and cognitive performance.
So, even when the caffeine levels in your blood start to drop, the paraxanthine levels are still high and keep you stimulated. That’s why the effects of coffee can last much longer than you think.
I think that the research is flawed and based on faulty assumptions. The origin of human lip kissing is much older and more widespread than the researchers claim. It is a natural expression of affection and intimacy that evolved independently in many cultures and regions. The herpes simplex virus 1 is not exclusively transmitted by kissing, but also by other forms of contact and exposure. The correlation between kissing and herpes is not causal, but coincidental.
I've read some studies that suggest that the gut microbiome can influence mood and behavior through the vagus nerve, which connects the gut and the brain. For example, this[1] study showed that mice fed with a probiotic bacteria had lower depressive and anxious behaviors than mice whose vagus nerve was cut. Another study[2] showed that oral treatment with antidepressants altered the gut microbiome and increased vagal activity in rats, and that blocking the vagus nerve abolished the antidepressive effects. These studies imply that the gut-brain axis is more complex than just diet and microbiome diversity. Maybe there are other factors that mediate the effects of fat, protein and carbohydrates on mood and mental health. What do you think?
[1] https://medium.com/microbial-instincts/how-gut-microbes-talk...
I’m so surprised that a country who still clings to the imperial system would have any clue about UTC, the time standard that the rest of the world uses.
The launch is scheduled to 1300 UTC, for us engineering folks.
Did you reply before reading? When were tasers ever used for crowd control?
His submission might have won the competition because of his name, if he didn’t use a pseudonym. His name would make them think that the submission was human-made, not AI-generated.
I wonder if there is a way to bridge the gap between them and find a balance between simplicity and robustness. I think type 1 and type 2 are not mutually exclusive, though. Maybe they are more like tendencies or preferences that can vary depending on the context and the problem. Sometimes, it might be more appropriate to focus on the technical aspects and sometimes on the human ones.
Sounds like an amazing company.
Edit: A good match would be someone with experience in Golang, GRPC, distributed systems, Terraform, Ansible, and networking.
I may not be an ideal match for the role at Railway. :(
Sorry, dang, but it just doesn't show. This person is a self proclaimed "essayist" with nothing spectacular to show for it.
I use the following prompt (just an example; in a real scenario I would describe the situation in greater detail).
Example of prompt:
Three Minute Therapy is based on the teachings of Albert Ellis who developed Cognitive Behavior Therapy. It is a short-term, low-cost process that is most effective if you are looking for a scientific, in-the-present, active treatment for coping with life’s difficulties. Use the A-B-C-D-E-F flowchart described in Three Minute Therapy Exercise (TME) to address the following concern:
I made a mistake at work and now people are making fun of me.
Example of response:
A: Activating Event: I made a mistake at work.
B: Beliefs about the event: I am embarrassed and embarrassed that I am being made fun of.
C: Consequences: I feel anxious, ashamed, and inadequate.
D: Dispute: My mistake does not define me. Mistakes are normal and part of life. Everyone makes mistakes, and I can learn from this and move on.
E: Effective New Belief: I am capable and this mistake does not define me.
F: New Consequences: I am able to take responsibility and learn from this experience, and not feel embarrassed or ashamed.
You should definitely keep an eye on Val and Carbon. They're being designed to be interoperable with C++. Both are designed to match C++'s performance while still being able to work with your existing C++ code. Both of these languages offer a more modern developer experience and are built with software and language evolution in mind. They have practical safety and testing mechanisms, etc. Definitely check them out if you're looking for a C++ replacement!
You're absolutely right. The possibility of animal models didn't even cross my mind when writing the above comment. There probably are such studies. I'll look for them and get better informed.