skysight-inc/HackerNews huggingface dataset:
The Troubleshooting and Fix:

Systematic Landing Page Audit: I started by meticulously reviewing every single landing page linked in my active and recently paused ad campaigns. This involved:

Manual Inspection: Visually checking each page for any content that might violate Facebook's policies (e.g., misleading claims, prohibited products, etc.).
Checking Page Load Speed: Slow-loading pages can sometimes be flagged. I used tools like Google PageSpeed Insights to check for any performance issues.
Mobile Friendliness Check: Ensuring all pages were fully responsive on mobile devices.
Redirect Identification: After the initial audit, I focused on identifying any redirects. This is where I discovered the culprit:

List of Shortened URLs: I compiled a list of all shortened URLs used in my ads.
Redirect Chain Analysis: I used online tools and browser developer tools (Network tab) to trace the full redirect chain for each shortened URL. This confirmed the redirect from the short link to my product page.
The Solution: Direct URLs: The fix was simple but crucial:

Replaced all Shortened URLs: I replaced every instance of the shortened URL in my ad settings with the full, direct URL to the final landing page on my website. This ensured that Facebook's bots were directly accessing the intended content without any intermediary redirects.
Ad URL Verification: After making the changes, I double-checked all ad URLs to ensure they were correctly pointing to the final destination. This is important to avoid sending users to broken pages or unintended locations.

The Appeal Process: Finally, I submitted an appeal to Facebook explaining the changes I had made. In my appeal, I:

Clearly Explained the Issue: I described how the use of shortened URLs, while intended for internal tracking, had likely triggered their automated systems.
Emphasized Transparency: I stressed that the redirect was not intended to deceive users and provided the full redirect chain for their review.
Highlighted the Fix: I clearly stated that I had replaced all shortened URLs with direct URLs.
The Result:

My account was reinstated within 24 hours of submitting the appeal.

Key Takeaways and Lessons Learned:

Facebook's automated checks are extremely sensitive to redirects: Even legitimate redirects for tracking purposes can trigger flags.
Transparency in your appeal is crucial: Clearly explain the situation and the steps you've taken to rectify the issue.
Focus on the technical details: Providing specific information about the changes you've made (e.g., replacing URLs) can significantly strengthen your appeal.
Regularly audit your landing pages and ad URLs: This can help you proactively identify potential issues before they lead to account disables.
You can read more about my process here: https://agencygdt.com/facebook-ad-account-disabled/
I've found cited in HN
NATHAN SCHNEIDER - GOVERNABLE SPACES DEMOCRATIC DESIGN FOR ONLINE LIFE

Available as PDF in https://www.ucpress.edu/books/governable-spaces/paper

Really full of great advice

"Side" projects

* https://www.loomio.com

* https://matrix.org

* https://opencollective.com
Quite the critique.
Writing evolved after visual imagery to solve the poor ability of visuals to express abstractions. It too is based on imagery, thats what script is after all, but leverages the emergent social pattern of literacy to convey highly encoded information.

This invention (that we now take for granted) has been so exalted in the minds of earlier generations that they would go to extremes to banish imagery (iconoclasts etc.)

It takes its most extreme form in mathematical script: concise expression of the most abstract ideas.

Commingling imagery and text has its many uses of course: try describing a graph or diagram or a real scene using text only. But for other purposes (literature) its a distraction that forces the brain to switch mode and diminishes the experience.
The Half Life 3 of the SaaS/zirp era.
Sure, they’re still useful as information for consumers. But that’s what makes them product reviewers and not critics. Someone like John Simon saw himself as upholding artistic standards in theatre, writing, and other art forms, not writing product reviews for consumers.
Why can't you use opentelemetry for something like this?
> Which "small Android" is the size of iPhone mini?

Unfortunately, only old ones. For Samsung, S8 is when the phones got really big. S7 (5.1 inch) and earlier were smaller than the iPhone 13 mini (5.4) My first Android was the original Galaxy S - comparitively tiny, but I definitely didn't struggle as much to tap buttons as on the 13 mini.
To a large extent China has been able to replicate.
1) 13" Air has a resolution of 2560x1664 this screenshot is 1446x1534. So the window was intentionally resized to almost half width to mislead.

2) one of the popups is an ad for their ai thing, but it has a huge close button and supposedly shows once.

3) the other popup is showing you that google has added easy table templates (and from what i have seen those types of tables are like 90% of google sheets uses)
There is also the Lenovo Trackpoint Keyboard II if you want something smaller.
It's more that you have to allocate the compute the right way.

Noam Brown's analogy is, you could train a massive one shot foundation model to predict the next best Go move, but that would be stupid. Better to use some test time search. You get better results for less money.

Same is happening in LLMs.
Yes, lots of memorization with an occasional Google search. When you program a lot you just remember things.
It's much quicker to write code than a formal spec for that code.
Looks like the left column is Middle French, the right one is the modern translation.
Releasing artificially sterilized singe-sex pests at scale is pretty effective. [0]

Tl;dr: Some species only mate once in individuals' lifetimes. Consequently, if that mating is with a sterile partner, no offspring will be produced. Thus severely limiting the size of the next generation.

[0] https://pmc.ncbi.nlm.nih.gov/articles/PMC2946175/
You could ask the system for advice for how to find a VC to pitch to.

https://chatgpt.com/share/6769217c-4848-8009-9107-c2db122f08... is what advice ChatGPT has to give. I'm not sure if it's any good, but it's a few ideas you can try out.
USA-Canada / Washington-British Columbia
aidenn0 goes to gym, buys a 10 day pass, and starts using the machines on the lowest weight after watching a series of Youtube videos on how to safely use the equipment. After increase the weight every few weeks because it has become too easy, aidenn0 has washboard abs that get shown off at the beach or pool in summer 2025.

lol
> Around 2004 there was an invite only email that... took you straight to inbox once you logged in, not to a landing page with news and weather.

In 2024 it's still like that. Only inbox no news or weather.
Ukraine won’t ever cede these territories. Whether on a field of battle, or diplomacy table, this war will continue for decades.
Humans are a lot more expensive to run than inference on LLMs.

No human, especially no human whose time you can afford, comes close to the breadth of book knowledge ChatGPT has, and the number of languages is speaks reasonably well.
No, it's not. Because it doesn't add anything.

Just document if something is mutating and what it mutates.

Or simply name your functions accordingly.

Like of your setter is doing a HTTP call, maybe name it so that it's obvious.
AMD doesn’t just have to fix these issues it has to build up a record of fixing issues like those discussed here.

Otherwise who will bet their firm / cash / career on new hardware without a successful track record.
> Its good to not trust it but that's not the same as it having no idea. There is a lot of value in being close for many tasks!

The task is to replace hazelcast with infinispan in a stand-alone IMDG setup. You're interested in Locks and EntryProcessors.

Ghat GPT 4, o1 tell you with their enthusiastic style Infinispan has all those features.

You test it locally and it does....

But the thing is infinispan doesn't have explicit locks in client-server mode, just in embedded mode, but that's something you find out from another human who has tied doing the same thing.

Are you better off using Chat GPT in this case?

I could go on and on and on, on times Chat GPT has bullshitted me and wasted days of my time, but hey, it helps with one-liners and Copilot occasionally has spectacular method auto-complete and learns on the fly some stuff and it makes my cry when it remembers random tidbits about me that not even family members do
Seems a standard approach of AI research is to “move X into the latent space” where X is some useful function (eg diffusion) previously done in the “data” or “artefact” space. So seems very pedestrian not wild to make that step.
uhhh, I've found a strong code base https://github.com/decidim/decidim
I feel like one of the reasons I see the problems with git more than many commenters on here is precisely because I often teach beginners who do not have a CS background.
More like "have already skimmed half of the entire Internet in the past", but yeah. That's exactly the mental model IMO one should have with LLMs.

Of course don't forget that "writing up an answer off the top of their head based on that, filling in any missing material by just making something up" is what everyone does all the time, and in particular it's what experts do in their areas of expertise. How often those snap answers and hasty extrapolations turn out correct is, literally, how you measure understanding.

EDIT:

There's some deep irony here, because with LLMs being "all system 1, no system 2", we're trying to give them the same crutches we use on the road to understanding, but have them move the opposite direction. Take "chain of thought" - saying "let's think step by step" and then explicitly going through your reasoning is not understanding - it's the direct opposite of it. Think of a student that solves a math problem step by step - they're not demonstrating understanding or mastery of the subject. On the contrary, they're just demonstrating they can emulate understanding by more mechanistic, procedural means.
The point is you don't know when of those 100 hours that is, so you still need to monitor the full 100 hour time span.

Can still be a boost. But definitely not the same magnitude.
It’s almost as if human intelligence doesn’t involve performing repeated matrix multiplications over a mathematically transformed copy of the internet. ;-)
bitgrid is cool! https://github.com/mikewarot/Bitgrid
I think that probably is the case that the moment the computer throws an error, potentially having lost some work-in-progress data or any other "funny" consequence like that, is the moment the user is less likely to be receptive to jokes.
Do you think it takes a high level of education to listen to a song and tell you if you'd like it?
creator of JBang here - nice article.

one thing not mentioned is that you can already just do ‘jbang run@jruby’ and run jruby directly if you wish.

At a time I looked into enabling more native jruby support so like jbang can run Java, jsh, groovy and kotlin add first class support for jruby and gems.

If someone interested and know about how to package ruby apps in a jar + addditional files that would be all doable.

And other option is how graalpy provided integration allowing use of //PIP to install packages.

Just ping if interested :)
I use vim with ctags. vim has good autocomplete but I don't use it much -- I rely on memory and looking things up in the docs. With ctags I can jump to definition/implementation of a function.

ctags has worked since the early 1990s.

Check out this video: How to do 90% of what plugins do with just vim.

https://youtu.be/XA2WjJbmmoM
I don't get why so many people fell for Spotify. To me, from the moment it launched there were so many red flags, like dark patterns everywhere and terrible UX-design decisions. Clearly a business that does not care at all about quality or their contributors/customers.
What is the meaning of this term? I am not native english speaker
It's not only Google Sheets, you can find this on every (major) website.

Linking to a thread on x shows you 4 pop overs. One with a notice, the second showing a cookie advice and two of them asking you to register, while one of the two is overlapping another register element on the side. I wonder if the ones in charge are even trying to offer a reasonable ux?
I would try Tauri 2 they have build to mobile now.
Yes.

There are some extra trickery around ruby gems needing a virtual env to run reliably - but definitely open to adjust/provide needed hook in Jbang if not already present if anyone wants to take a stab at it.
> It takes its most extreme form in mathematical script: concise expression of the most abstract ideas.

Yet one thing that these minimalistic text-based interfaces are terrible for is rendering mathematical notation.

> But for other purposes (literature) its a distraction that forces the brain to switch mode and diminishes the experience.

Yet we do not (typically) consume literature in a monospace, typographically impoverished form.
I found it more trustworthy to code my own extensions via ChatGPT. These are the last 2 ones. I pretty much dont care if people use them, as the mostly fulfill my own usecases.

https://chromewebstore.google.com/detail/comparative-chatgpt...

https://thisismy.franzai.com/

The cost of (small) software is fast approaching 0, and it can be faster now to code your own solution, instead of looking for one that nearly mostly fulfills your usecases.
> there’s an implied “we’re a part of the same group, so try to behave” understanding.

Ok but why would I go to places where I need to behave, if I can just drink at home instead, without needing to behave? I've been behaving the entire week already, give me a break.
1. AI regulation becomes fragmented and messy as different jurisdictions implement contradictory rules. The EU's AI Act creates a "Brussels effect" but China and the US take divergent approaches, creating headaches for global tech companies.

2. "AI-free" becomes a marketing term like "organic." Premium services start advertising human-only customer service, human-written content, and AI-free creative work. A certification industry emerges around this.

3. Climate tech sees a boom in investment as extreme weather events continue to drive home the urgency. Particular focus on grid-scale energy storage and carbon capture technologies.

4. The "nearshoring" trend accelerates, with Mexico and Eastern Europe becoming major manufacturing hubs as companies seek alternatives to China while staying relatively close to major markets.

5. The first mainstream consumer AR glasses hit the market, but like early smartphones, they're clunky and limited. The real impact is in industrial and professional applications.

6. Remote work stabilizes at a new equilibrium: most tech companies settle into a hybrid model with 2-3 office days per week. Fully remote becomes less common as companies optimize for "collaboration days."

7. The web3/crypto world pivots hard toward "real world assets" and practical financial applications, moving away from speculation. Smart contract platforms become boring but useful infrastructure.

8. A major cybersecurity crisis involving AI models leads to a fundamental rethinking of model deployment and security practices. "Model poisoning" becomes the new ransomware.

9. The shortage of high-end GPUs starts to ease as new fabs come online, but the industry faces a new bottleneck in networking equipment and specialized AI accelerators.

10. Traditional higher education faces a crisis as employers increasingly accept alternative credentials and bootcamps. Several mid-tier universities merge or shut down.

- Claude | when asked for hacker news style prediction. I agree with most predictions.
Just noting that this narrative in the post is contrary to the author's own guidelines - where they go into not finishing books (called "DNF"s lol)

https://tracydurnell.com/2023/08/19/my-reading-philosophy-an...
PixVerse v3.5 is calling for testers
I guess it would be a great combo of speed and quality. Alrealy applied
I don't see how that is language specific. I think it's entirely based on the project size.

Pick up docker or kubernetes and you'll have to learn plenty of stuff.
Pick up ory/hydra to do auth in go, same thing.

Check out the age (from FiloSottile) or the rage (Rust port) codebase and they require similar level of understanding.
Dtrace.conf(24) Kris Van Hees – eBPF and DTrace [video]
On top of that I don't think it's fair to say it's 10x faster when it btree was tested only on integer index primary key column. Benchmarks with that bold statements should include short string (1-16 chars maybe) and UUID indexes at least.
This occasionally comes up in the 8311 discord and as with all answers in live chat, they end up becoming repeatable noise. Being able to link to past discussions or better yet external resources (they’re easier to find with discord search) makes for effortless q&a, so I’ll add this to the link exchange.
This type of analysis is heavily rooted in personal preference. Critics have their own biased. Relying on mass review system should represent more of what the average person like rather than some elitist idea of a critic of what should be.
Same!
Well, Rust fits the bill too.

Generally, any language with a type system advanced enough.
Daylight Time Year Clock
The AGPLv3 is possible to comply with as a cloud provider, but in practice I don't think they offer any AGPLv3 based software projects as services yet.
For those interested, see Daniel Shiffman's Nature of Code[1], a book in which you go from simple "ant" simulations to machine learning, neuroevolution, and NEAT using p5.js for graphics.

[1]: natureofcode.com
Okay, but if you read written work by an expert (e.g. a book published by a reputable academic press or a journal article in a peer-reviewed journal), you get a result whose details were all checked out, and can be relied on to some extent. By looking up in the citation graph you can track down their sources, cross-check claims against other scholars', look up survey sources putting the work in context, think critically about each author's biases, etc., and it's possible to come to some kind of careful analysis of the work's credibility and assess the truth value of claims made. By doing careful search and study it's possible to get to some sense of the scholarly consensus about a topic and some idea of the level of controversy about various details or interpretations.

If instead you are reading the expert's blog post or hastily composed email or chatting with them on an airplane you get a different level of polish and care, but again you can use context to evaluate the source and claims made. Often the result is still "oh yeah this seems pretty insightful" but sometimes "wow, this person shouldn't be speculating outside of their area of expertise because they have no clue about this".

With LLM output, the appropriate assessment (at least in any that I have tried, which is far from exhaustive) is basically always "this is vaguely topical bullshit; you shouldn't trust this at all".
I agree, but most programmers unfortunately are not good, so this is the reality we must deal with
Yes! There’s no ‘element’ of truth.
Funnily enough, this isn’t a philosophical question for me either.

The industrialization of content generation, misinformation, and inauthentic behavior are very problematic.

I’ve hit on an analogy that’s proving very resilient at framing the crossroads we seem to be at - namely the move to fiat money from the gold standard.

The gold standard is easy to understand, and fiat money honestly seems like madness.

This is really similar to what we seem to be doing with genAI, as it vastly outstrips humanity’s capacity to verify.

There’s a few studies out there that show that people have different modes of content consumption. A large chunk of content consumption is for casual purposes, and without any desire to get mired into questions of accuracy. About 10% of the time (some small %, I don’t remember the exact) people care about the content being accurate.
42

Ref: google.com/search?q=answer+to+life+the+universe+and+everything
Yes, for investments here I'm referring to financial investments.

Generally I think housing is flat, maybe coming down if interest rates go up, or as affordability comes down. (Housing is not really an investment though, but that's a topic for another time.)

Individually for small business, there may well be winners and lovers, but that's true for any administration change. For example if your business is say solar installations then you are vulnerable (or benefit from) govt policy.

Most businesses (even small ones) can jack up prices in an inflationary environment without too much pushback.

Crypto - I'm not qualified to comment on that, but it seems like it'll likely go up in the short term. (Reinforcing why it's a terrible currency.)
What if we didn't know we had a problem? And now it's "ooooh it's better now".
They must live and die by their choices but I am defending the category as a whole. Both limitations can be lifted without altering the essence of a distraction free reading flow.
Honda, Nissan agree to discuss merger, signalling industry shift
Santa's Traveling Salesman Problem (TSP) optimization with Java [video]
Apparently they are being controlled quite well in the UK at the moment.

https://www.theguardian.com/environment/2024/dec/13/rapid-sp...
Yes, quite right, that’s what I meant with my “I still have to do the work of securing my services”.

Would be the same no matter where I’m hosted.

Going to guess you meant to reply to the parent though?
> From what I've seen, AMD has done... none of this.

There are a number of pull-requests to ROCMblas for tuning various sizes of GEMV and GEMM operations. For example:
https://github.com/ROCm/rocBLAS/pull/1532
An awful lot of it went away in my experience in the c++11 world when everyone all Of a sudden wanted to upgrade. Then another time in 2015 when MSVC decided their standard library would be backwards compatible
I think it’s turned into the place to submit work when you want as much harsh feedback as possible. You can get upvotes but need to run the gauntlet of “why isn’t it open source/here’s a better app/this is dumb” etc. Top comments are often pretty caustic, so that’s the culture we’ve built. I guess if you want to sharpen your offering really fast, this is optimal.

“Any system that forces humans to express themselves purely in ASCII, monospace, and monochrome is crude and borderline disrespectful towards human expression.”

What is the outcome you’re hoping for, by giving that feedback? Should we kill the authors now or just shun them until they give us pictures?

Edit: every single system makes choices. You either try please everyone or you choose a set of people to focus on. This one isn’t for you, and that’s ok. It may fail and that’s ok too. I don’t think it’s disrespectful to human expression, if anything it’s a form of human expression.
Tesla is still valued high, despite FSD did not came, despite being promised. So OpenAI would get away with delivering ChatGPT5, if it is better than the competition.
>Делайте свои выводы.

And what conclusions should we make?
Angular will overtake React in terms of version number.

International Debt will crash in 2025.

(Worldbank INTERNATIONAL DEBT REPORT 2024)
Next project: spin harmonics

https://en.m.wikipedia.org/wiki/Spinor_spherical_harmonics
Dang, how did I not hear about this? I’m in a local Discord tech group and this hasn’t been mentioned at all!

Thanks for the intel, definitely one for next year!
Well, it also doesn't have LDAP dependencies in the Log stack to cause bunch of those issues in the first place.

And while I kind of agree with you on principle, I've also seen way too many shoddy OSS libraries from "experts" that I had to rewrite to really make it a no-brainer statement.

Just like OP, I'm leaning against shoveling in dependencies if I can help it as I age.