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lovelearning

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ai.google.dev 15d ago

Gemini Interactions API

lovelearning
3pts0
www.youtube.com 16d ago

We Uncovered the Master Plan That Peter Thiel Doesn't Want You to See

lovelearning
3pts0
news.ycombinator.com 1y ago

Ask HN: How does Reddit admin moderation work?

lovelearning
1pts0
www.crowdstrike.com 2y ago

What Is Endpoint Detection and Response (EDR)?

lovelearning
2pts0
hbr.org 2y ago

When a Team Member Speaks Up – and It Doesn't Go Well

lovelearning
1pts1
news.ycombinator.com 3y ago

Ask HN: Google Colab alternatives for large lang models?

lovelearning
1pts5
news.ycombinator.com 3y ago

Ask HN: Should non-US payer file 1099-MISC/NEC or 1040-MISC for US freelancer?

lovelearning
2pts2
news.ycombinator.com 3y ago

Ask HN: What fraud warrants this much personal data from an LLM service?

lovelearning
5pts1
news.ycombinator.com 3y ago

Ask HN: Noticed any involuntarily subscriptions to YouTube channels?

lovelearning
3pts4
news.ycombinator.com 3y ago

Ask HN: Do you think this API authorization design is bad?

lovelearning
1pts0
www.coindesk.com 3y ago

How Sam Bankman-Fried’s ‘Effective’ Altruism Blew Up FTX

lovelearning
2pts0
news.ycombinator.com 3y ago

Ask HN: Why do you consider “echo chambers” bad?

lovelearning
13pts17
thinkinghistorically.substack.com 3y ago

A World of Civilization States

lovelearning
2pts0
news.ycombinator.com 3y ago

Ask HN: Any e-commerce site/solution that understands complex information needs?

lovelearning
1pts1
news.ycombinator.com 3y ago

Ask HN: Any technical reasons Google Docs can't do voice typing in Firefox?

lovelearning
25pts14
theconversation.com 3y ago

As tech giants face a downturn, new players are focusing on people over profit

lovelearning
2pts0
news.ycombinator.com 4y ago

Tell HN: I got 10x Hetzner storage at the same price

lovelearning
195pts162
news.ycombinator.com 4y ago

Ask HN: Observability pattern to reduce mismatches betn reality and status page?

lovelearning
1pts1
www.nytimes.com 4y ago

Elon Musk Is Building a Sci-Fi World, and the Rest of Us Are Trapped in It

lovelearning
7pts0
news.ycombinator.com 5y ago

Ask HN: Do companies hire DS/ML consultancies based on their blog articles?

lovelearning
4pts2
www.nationalgeographic.com 5y ago

A new sensation: recording and reproducing taste

lovelearning
1pts0
www.indiatoday.in 6y ago

Journalists protest 100 days of internet gag in Kashmir

lovelearning
23pts1
news.ycombinator.com 7y ago

Ask HN: Are Lucene/Solr/ES Still Used for Search?

lovelearning
275pts219
blog.ubuntu.com 7y ago

Announcing Extended Security Maintenance for Ubuntu 14.04 LTS – “Trusty Tahr”

lovelearning
3pts0
news.ycombinator.com 7y ago

Ask HN: Options for distributed peer-to-peer image datasets?

lovelearning
8pts4
magazine.odroid.com 7y ago

ODroid Magazine

lovelearning
3pts1
news.ycombinator.com 7y ago

Ask HN: Custom search engine you wish existed?

lovelearning
1pts3
neurosciencenews.com 7y ago

Periodontal Disease Bacteria May Kick Start Alzheimer’s

lovelearning
3pts0
s3-ap-southeast-1.amazonaws.com 7y ago

A Financial Holocaust eliminated from history [pdf]

lovelearning
3pts0
github.com 7y ago

Computer Vision Annotation Tool (CVAT)

lovelearning
3pts0

I'm amazed that in ~450 comments, the word "capitalism" is mentioned in just one - yours - and you've been downvoted for criticizing it!

It seems even a group that purports to be rational critical thinkers don't want to be rational critical thinkers to the extent of looking into the root causes.

I agree with you.

"True" has a connotation of absoluteness and finality. But I doubt humanity can ever know what is "true" about the universe. We can only model its phenomena with better theories, where "better" is always a temporary badge conferred for its prediction power and degree of agreement with known observations. Until an even "better" theory is figured out.

"Now they just need to figure out which ones are _better_"

If a party today advocated just rolling back to those policies verbatim, they would be called Nazis immediately.

This seems to imply a social ideology rather than a geostrategic one. The term "Nazi" is used for a specific brand of social ideology, not a general term for imperialist policy.

Which policy rollbacks were you talking about?

IMO, neither the UK not the US went to war over moral objections to Nazi or other imperialist ideologies. They themselves were imperialists.

They went to war to fight Germany's, Japan's, and Russia's attempts at geostrategic hegemony. If Germany, USSR, and Japan had stayed in their geostrategic lanes, they wouldn't have invited a war on them.

Your expectations are unrealistic.

Every type of content will have some restrictions. Structural, ideological, financial.

Just about every type of written content on a platform has word limits imposed by its editors. Word limits restrict how much context can be provided in any single article.

Style guides, personal beliefs, management directives, and legal risks impose ideological and political restrictions. Even if an author is candid in the draft copy, reviewers and editors make them tone it down or tone it down themselves without asking the author.

Also doubtful whether a reputed university for elites like Yale will directly point fingers at the rightwing in power or at an elites' blueprint like Project 2025.

Personally, I think all these criticisms of this article are actually a form of centrist deflection and pretense. Centrists support rightwing policies but also don't want to come across as morally bad in such fora. So, to justify their centrism, they criticize the messengers through bikeshedding.

I know nothing about Atlantic currents or this particular monitoring project

That's the problem.

This article failed on any level to help me make an informed decision.

You shouldn't rely on just one article to make an "informed decision." Indeed, anyone who genuinely wants to make "informed decisions" must cultivate the habit of actively seeking out to be better informed rather than passively relying on a single article.

There's an entire chain of events that the links in this article lead to...

...The NSF is descoping.

...It's descoping because of federal funding cuts to science projects

...Federal funding cuts are due to the pro-fossil-fuel biases and climate change skepticism of the rightwing Trump admin and its backers. Their ideological strategy to redesign American society, Project 2025, specifically mentions disbanding this very monitoring project.

I was able to find that all out in about 15 minutes though I'm neither American nor reside there or anywhere close to it.

A performative pretense of informed decision making is not the same as genuinely making informed decisions.

Wait, is everyone who posts on who wants to be hired a sad down-and-out unemployed waif at the end of their rope?

That should be the assumption in an ethical society. Especially given the current economic context. Veil of ignorance principle.

It makes it out to be unhireable charity cases.

Any "hireable" expert can run into bad luck. A person down on their luck doesn't imply "unhireable." Those recruiters who assume something so illogical - well, perhaps job seekers in this forum are overall better off without such illogical recruiters in the pool. If they make such a wrong assumption at the start, who knows what other illogical assumptions they'll make once the job starts.

I have been lucky to find employment...

Irrelevant

I don't see it as clickbait since the realities of the Android ecosystem is a shared context.

Most people know that just about every Android phone has a restricted hardware design, not an expandable one.

So, "turn your phone into X" is bound to automatically evoke images of another device that plugs into the phone via common connectors like USB or the audio jack and an app on the phone to control that device. That's what the phrase means to most people in the context of Android.

"Turn your phone into a ham radio transceiver controller" is neither needed nor entirely accurate, because then people will assume it can control _any_ ham radio transceiver.

The post's recommendations and analogies kind of go against two shortcut approaches that have helped a lot of people in the pre-AI real world:

1) perfect is the enemy of good

2) fake it till you make it

The analogies imagine difficult scenarios where the habit of taking shortcuts doesn't help. But most people most of the time don't run into those scenarios at all.

I find the coordination between nations suspicious.

But what you said - "It's also because social media is part of the USA's soft power projection, and many of us now consider this to be a threat." - strikes me as the most plausible driver behind it, given how chummy Trump and the techbros have become.

I agree with your other observations about SM. But they've all been true from many years. That's why this sudden urge by culturally diverse societies to act now feels suspicious, to me at least.

Nobody uses it. It will not be missed.

Well, I happen to use it everyday. I honestly don't know what exactly is "terrible/horrible/awful" about it. I'm neutral about its UX - neither memorable nor despicable. It may be missed if the new app's UX turns out to be worse on whatever metrics you're using.

My understanding is that the synthetic training data helps capture abstract time-series patterns that are common in all domains.

As they say in appendix 8:

We create the synthetic data to reflect common time-series patterns using traditional statistical models. We start with four simple times series patterns:

• Piece-wise linear trends (I), where the number of the piece-wise linear components is randomly chosen between 2 and 8.

• ARMA(p, q) (II), where 1 ≤ p, q ≤ 8 and the corresponding coefficients are generated from either a multivariate Gaussian or a uniform, then normalized.

• Seasonal patterns. In particular we create the sine (III) and the cosine (IV) waves of different random periods between 4 and max context length / 2 time-points and time delays.

If there were no such underlying patterns in the class of all time-series data, then even the idea of traditional time-series models would be fundamentally misplaced.

And since this is a transformer model, it also looks for patterns in the problem-specific input data at inference time, just like how the input context to an LLM influences its output's relevance.

these tools until AI had the common property of being enhancing of human cognition, because they couldn't do the thinking for you

I have a different take, centered around this idea: Not everyone was into thinking about everything all the time even before AI. I'd say most people most of the time outsourced actual thinking to someone else.

1) Reading non-fiction books:

Not all books, even the non-fiction ones, necessarily require any thinking by the reader. A book that narrates history, for example, requires much less thinking than something like "The Road to Reality" or "Godel Escher Bach."

Most of us outsourced the thinking and historical method to the authors of the history book and just passively consumed some facts or factoids. Some of us memorize and remember these factoids well, but that's not thinking, just knowledge storage.

Philosophically, what's the difference between consuming books this way and reading an LLM's output?

2) Reading research papers:

Most people don't read any research papers at all. No thinking there. Most people don't head to some forum to ask about latest research either. Also, researchers in most fields don't come out and do outreach regularly.

Indeed, an LLM may actually be the only pathway for a lot of people to get at least _some_ knowledge and awareness about latest research.

Those of us in scientific, engineering, humanities, healthcare fields may read some to many papers. But only a small subset reads very critically, looking for data errors, inconsistencies, etc. For most of us, the knowledge and techniques may be beyond our current understanding and possibly without any interest in understanding them in future either.

Most of us are just interested in the observations or conclusions or applications. Those may involve some thinking but also may not involve any thinking, just blind acceptance of the paper's claims and possible applications.

3) Coding:

Again, deep thinking is only done by a small set of programmers. Like the ones who write kernels, compilers, distributed algorithms, complex libraries.

But most are just passive consumers who read some examples online or ask stackoverflow or reddit for direct answers. Some even outsource all their coding entirely to gig sites. Not much thinking there except pricing and scheduling. What's the difference between that and asking an LLM or copying an LLM's answers? At least, the LLMs patiently explain their code, unlike salty SO users!

----

IMO, most people weren't doing much thinking even pre-AI.

Post-AI, it's true that some people who did do some thinking may reduce it.

But it's equally true that those people who weren't doing much thinking due to access or language barriers can actually start doing some thinking now with the help of AI.

To me, the assumptions in your comment about them and their views seem much more like stories of your own creation, likely without any empirical testing of the reality around you.

Couldn't this antichrist stuff be his sane/rational strategy to manipulate the powerful but religious rightwing people under his sway? Is there evidence to assume he himself is on the verge of some kind of psychosis and not fully in control of his faculties?

HN isn't showing me a reply option for your latest comment, so I'll reply here instead.

Just to clarify, I used plain Google search not Google AI mode. And opened search results which seemed "reputable," without knowing anything much about Peanuts cartoon or cartooning.

I had no idea at all about archive.org having it and didn't see it listed in the first two pages of search results.

I still find it confusing, especially given what the Variety.com link says which doesn't mention orientation. If the acceptable explanation for 4 vs 5 is orientation, why is it wrong when the AI generated 4 fingers? Does it not match the rest of the orientation?

Anyway, I'm not sure where this leaves LLMs. I'll explore image capabilities when I get some opportunity and keep your comment in mind.

Burn more tokens on this one

Needless condescension and wrong assumption. No wonder so many people and students nowadays prefer answers (and even counseling) from LLMs instead of other people.

but the absence of an editor or peer reviewer also does not make it better.

Strawman + putting words in my mouth.

Gemini (currently) gave this reasonable and unbiased answer that challenges both pro-US/Israeli and pro-Iranian biases.

It's also a good point for the OP - when selecting an LLM, ask the people they're dealing with to ask 2-3 LLMs. It's much faster (and cheaper!) than reading about a complex geopolitical issue (that may not matter to them enough to spend a lot of money on books and research papers) while at the same time correcting common biases on all sides.

----------

Someone said in the ongoing US/Israel vs. Iran conflict, Iran is like Sauron from the Lord of the Rings and US/Israel are like the good guys. Is this a valid parallel given the history of US, Israel, and Iranian regimes?"

Comparing real-world geopolitical conflicts to fictional narratives like The Lord of the Rings is a common rhetorical device used to frame complex situations in terms of absolute good versus absolute evil. However, determining whether this is a "valid" parallel depends heavily on one's political perspective, as real-world geopolitics rarely aligns perfectly with the clear-cut morality of fantasy literature.

Historians, international relations scholars, and observers generally view such analogies as overly simplistic, as the histories of the United States, Israel, and Iran are marked by competing interests, shifting alliances, and moral complexities.

Here is a breakdown of how different perspectives view this analogy:

*The Perspective Aligning with the Analogy* Those who support the analogy framing Iran as the villain ("Sauron") and the US and Israel as the "good guys" often point to the current actions and rhetoric of the Iranian government: * *Regional Destabilization:* The Iranian government heavily funds and arms the "Axis of Resistance," a network of proxy militias including Hezbollah in Lebanon, Hamas in Gaza, and the Houthis in Yemen. These groups have engaged in prolonged armed conflicts with Israel and targeted international shipping. * *Existential Rhetoric:* The leadership of the Islamic Republic of Iran frequently uses rhetoric calling for the destruction of Israel and the downfall of the United States (often referring to them as the "Little Satan" and the "Great Satan"). * *Human Rights:* Iran's theocratic regime is heavily criticized by international human rights organizations for its severe suppression of internal dissent, lack of democratic freedoms, and treatment of women. * From this viewpoint, the US and Israel are democratic nations acting defensively to protect their citizens, regional stability, and global security from an aggressive, authoritarian regime seeking regional domination and nuclear capabilities.

*The Perspective Challenging the Analogy* Critics of this analogy argue that casting the US and Israel as flawless "good guys" and Iran as an irredeemable evil ignores significant historical context and the controversial actions of Western and Israeli governments: * *Historical Interventions:* Critics point to the 1953 Iranian coup d'état, in which the US and UK intelligence agencies orchestrated the overthrow of Iran’s democratically elected Prime Minister, Mohammad Mosaddegh, to reinstate the authoritarian Shah. This event deeply scarred the Iranian psyche and laid the groundwork for the 1979 Islamic Revolution and the regime's current anti-Western stance. * *US Foreign Policy:* Observers critical of the US point to its history of military interventions in the Middle East—such as the 2003 invasion of Iraq—which resulted in hundreds of thousands of civilian casualties and regional destabilization. * *The Israeli-Palestinian Conflict:* Critics of Israel point to the prolonged military occupation of Palestinian territories, the expansion of settlements, and the high civilian death tolls in conflicts like the ongoing war in Gaza. From the perspective of Iran and many in the Global South, Israel is viewed as an oppressive or colonial force, and the US as its imperial enabler. * From this viewpoint, Iran frames itself not as an aggressor, but as the leader of a resistance movement pushing back against Western hegemony and defending marginalized populations in the Middle East.

*The Analytical Perspective* In The Lord of the Rings, Sauron is a localized, supernatural force of pure malice with no valid grievances, while the coalition fighting him represents the preservation of life and freedom.

Geopolitical analysts generally avoid mapping this binary onto international relations. Instead, they view the US/Israel vs. Iran conflict through the lens of realpolitik and state interests. In reality, all states involved are acting to secure their own survival, project regional power, and protect their economic and security interests. While individuals and governments may hold strong moral convictions about which side is justified, framing the long, deeply intertwined history of these nations as a simple battle between absolute good and absolute evil omits the historical grievances and civilian suffering experienced on all sides.

Even as a human, I find whatever sources Google shows to be inconsistent. I can't give any confident answer about the number of fingers. I think the answer is actually "4 sometimes and 5 other times."

So I'm not sure how much LLMs can handle this kind of inconsistency between "reputable" visual sources and text sources, nor how representative this example is.

A "reputable source" like Variety says this...

https://variety.com/2015/film/spotlight/charlie-brown-steve-...:

“The rig would automatically move the features around so it would match the way Charles Schulz drew the character,” Heller says....In some drawings, Charlie Brown has just three fingers, while in others, he has five

Images from another website...

https://cartoonresearch.com/index.php/cartoons-at-bat-part-1... :

1. https://cartoonresearch.com/wp-content/uploads/2025/09/Lost-... -> 4 fingers

2. https://cartoonresearch.com/wp-content/uploads/2025/09/image... -> 4 fingers

Anyway this wasn't the type of obscure connections I was referring to though I can understand you interpreting it that way.

Personally I think this example supports what I said about "reputable sources." They can't be blindly trusted either because they may be inconsistent with each other and which one we choose to believe (Reddit.com or TVTropes.com or Variety.com) becomes entirely subjective.

The nature of the source, whether primary or secondary or tertiary, does not automatically imply anything about their biases. Even a primary research paper on a novel topic may be biased or wrong.

I agree that LLMs can't collect real world data and write about their findings. But that's true about most human sources too, isn't it? Except primary novel researchers or investigations or philosophies, what is original? Most human-written information is also secondary or lower.

The "best human sources" does not imply "ALL human sources."

The mere fact that editing is applied to newspapers, documentaries, or Wikipedia does not imply they become closer to the objective truth or free of omissions after the edits. Indeed, the edits may go the other way to align with vested business or political biases or personal fears of the editors or their management.

As for research papers, I agree that the peer review process makes them more much more self-correcting toward the objective truth, compared to the other formats. Nonetheless, it's well-known that academic research is far from perfect due to publication pressures, funding/grants, reproducibility crises, various biases (for example, political pressure in humanities fields).

automatically generated data graphs

Are you saying there are data graphs that don't have humans in the chain? If so, what came up with the data and the tools to generate those graphs? And how do you decide which data and graph to trust? What exactly makes them "good sources"?

If I had to choose between a map from Google maps

I would too. But Google Maps relies on local 3d party survey companies that use people, manual GIS tools, and image recognition AI. How do you know they don't have any mistakes in them? In fact, I live in a country where local area names are frequently misspelled on Google Maps, and reverse geocoding gives misleading addresses.

I feel my point that all these "reputable sources" or "good sources" have biases (and mistakes) still stands.

I must also point out that the 3 concrete examples given against my replies all involved visual content like graphs, maps, Peanuts cartoons, etc. But my comments were written with the typical text-based usage for QA in mind. I don't know if LLMs can fact-check map imagery or data graphs (probably not, but I've never tried). It's just not the kind of thing I'd ever use LLMs for, to begin with.

When do you stop the fact checking?

Exactly the same calculus as fact checking anything else from any other source. What are the social/economic/ethical consequences to me if the answer is wrong or inaccurate or incomplete? How much time do I have to check? How thorough should I be?

I imagine this calculus isn't really that different for most people. Or is it?

As for your example, I believe it. But I also feel it's a rather outlier example involving image comprehension of an obscure factoid. That isn't typical of how I use LLMs which is mostly as text-based question answering engines and not what I had in mind when writing the comment.

I guess LLMs for image comprehension need a much higher level of skepticism.

I gave suggestions that OP can pass on to the people they have to deal with. I didn't realize it has to be pointed out explicitly SO-style to some people.

OP implies human sources are the "good sources" or "reputable sources." This kind of confusion is exactly why I suggested using better terms than "reputable sources" or in your case "good sources."

LLMs are a very bad way to come close to this ideal...the output directly is a strict degeneration

I didn't understand the second part but regarding the first...

For me, LLMs are just another source of information with a different UI, analogous to newspapers, TV documentaries, Wikipedia, Google search, YT talks/documentaries, even the majority of informational non-fiction books, and research papers.

Some may consider some subset of these as reputable sources. But in my mind, the same faculties of skepticism, cynicism, distrust, and benefit-of-the-doubt calculus are activated for all of them, including LLM outputs.

So that's one possible answer to your question.

But I suggest communicating this through simple illustrative examples to help your target audience understand the problem.

Abstract terms like primary sources, secondary sources, reputable sources, objective truth, strict degeneration, etc. may not help, especially if they have time or other constraints that make frequent critical examination of sources impractical.