skysight-inc/HackerNews huggingface dataset:
And we already regulate actual broadcast on this basis.

For example, it violates no rule to include valid Emergency Broadcast System/Emergency Alert System tones (the electronic, machine-interpretable "chirps") in a movie or TV show, or to publish that via streaming, DVD etc. But no one does this, because broadcasting spurious tones (and triggering spurious automated broadcast interruptions) carries serious first-instance fines to which FCC licensees (ie distributors via broadcast) agree as a condition of licensure. They know they aren't allowed to do this and, very occasional and expensive mishaps excepted, they won't take the risk. (1) So program material that wants to include those tones has to make sure they're excluded from the TV edit, or decide whether the verisimilitude is worth the limit on audience access.

While the specifics of course vary among cases, the basic theory of broadcast (ie distribution) as distinct from and less protected than speech, with the consequential distinction drawn specifically along the scale at which speech is distributed, seems clear.

(1) Some may note instances such as one of the Purge films (iirc) that seem to contradict this claim. Compare the tones in those examples with the ones in test samples or generated by a compliant encoder [1] for the "Specific Area Message Encoding" protocol. Even without a decoder, the FSK frequencies and timings have to be resilient to low-bandwidth channels designed to carry human voice, so it's all well within audible ranges and you can hear the difference between real tones and what a movie or show can safely use. Typically either the pitch is dropped below compliant ranges, or the encoding is intentionally corrupted, or both. But almost always, the problem is just sidestepped entirely, since it's the attention tone that everyone really notices anyway.

[1] https://cryptodude3.github.io/same/ is no more certified than mine but has, unlike my own implementation, been tested against a real EAS ENDEC. At some point I want to test mine against that one and find out how badly I screwed up reading the spec ten years ago...
This is how I am except with nostalgia content, which I cannot see as just content.

It is however impossible for me to play the latest games or watch the latest shows for 10 minutes without feeling like my time is being wasted.
128 exports at 17B active parameters. This is going to be fun to play with!
Is this the first model that has a 10M context length?
We don't need to go into absurd discussions in order to prevent 99% of the harm that comes from modern advertising.

The line is clear: is money being exchanged in order to promote a product? That's advertising.

Someone I know mentioning a product because they want to recommend it to me? Not advertising.

Giving out "free" samples? Presumably someone is being paid to do that, so advertising.

We can later quibble about edge cases and how to handle someone putting up a sign for their business. Many countries have regulations about visual noise, so that should be considered as well.

But it's pretty easy to distinguish advertising that seeks to manipulate, and putting a stop to that. Hell, we could start by surfacing the dark data broker market and banning it altogether. That alone should remove the most egregious cases of privacy abuse.
Cool project. I am going to use this for a personal project for sure.
That's where we are right now. Airtight laws are impossible in complex systems.
That's a really good trick. New to me. Anyone know a reasonable way to do the query equivalent? Not allocate more, ask how many are currently available.
I'm not sure why every state doesn't outlaw billboards. That would seem to be a low-hanging fruit. A few states have already done it.

Get it on a ballot measure.
If we had fair trade coming into January, then I would agree with you. But we didn't have fair and balanced trade with many nations. So Trump's actions are at least understandable.
URL path?
Fair. But for me thats not a distinctor.

(Lately, I saw on the internet this video about cars and their suspension in comparison. And it felt like a throwback to the 2000. The one car that goes over the rails like its flying. Been there, done that. Did not go into the mass market for reasons. But reminds me, how good competition is, maybe old ideas will be tried again and this time the ppl want it.)
I guess. I'm not convinced by the facts on the other side of LGBTQ discourse. Is it really true I could be arrested in Florida because my driver's license says I'm female? It doesn't protect anyone. It doesn't make anyone's life better.
Humans, incentives, and capitalism are fundamentally intertwined. Capitalism at its core is simply a game we play daily together, driven by incentives. Banning advertising doesn’t remove incentives, just rearranges them.... If you change one rule (like banning advertising), the system has is always very quickly reorganize around the new incentives. Also, given we live in a fully 100% market driven society, trust, not attention, is the true currency. As long as humans exchange value, influence is inevitable. To effectively improve the system, you can't just ban advertising because the idea should not be to try to stop persuasion, it's a requirement in a functioning free market driven society as it enables many many many downstream effects.
I would propose 'unsolicited salesmanship'.

If I enter your restaurant, car dealership, etc. then you can pitch & try to up-sell your goods and services to me.

If I drive down a motorway or use your website, third-parties can't advertise their goods and services at me from spots you've sold them. (But you can tell me it will be faster to exit onto your toll road or that I should buy or upgrade my membership plan on the site.)
Anyway market cap is a fiction loosely related to worth, if at all.
Most things that people post online, voluntarily, is essentially advertising of one form or another.
>If nobody advertised, every solution would be equally discoverable via search and word-of-mouth.

Most consumers don't do extensive research before making a purchasing decision, or any research at all - they buy whatever catches their eye on a store shelf or the front page of Amazon search results, they buy what they're already familiar with, they buy what they see everyone else buying. Consumer behaviour is deeply habitual and it takes enormous effort to convince most consumers to change their habits. Advertising is arguably the best tool we have for changing consumer behaviour, which is precisely why so much money is spent on it.

Banning advertising only further concentrates the power of incumbents - the major retailers who decide which products get prime shelf position or the first page of search results, and the established brands with name recognition and ubiquitous distribution. Consumers go on buying the things they've always bought and are never presented with a reason to try something different.

A market without advertising isn't a level playing field, but a near-unbreakable oligopoly.
> Commands are not declarative.

The tool is using a declarative approach; the language is irrelevant. The key point is the input to the tool describes a desired state, and the tool figures out how the necessary operations to actually achieve that. This contrasts with the imperative approach to schema management, in which the user must explicitly define the steps to take.

Some declarative schema management tools have the desired state be expressed in YAML or a custom DSL, while others use SQL; either way, they're still using a declarative approach.

> There is no way to guarantee this create_table will run safely, because it's not meant to ever be run.

It is meant to be run, though: any time you spin up a new environment, such as every CI run, or every new dev environment set up by an engineer.

Additionally, some declarative schema management tools run the desired-state CREATEs in a temporary location as a core part of their operation. And they can also verify their generated ALTERs are correct, by running the original live-state CREATE in a temporary location, then running the generated ALTER, and verifying that the post-alter CREATE matches the desired state.

> SQL, an imperative language

SQL is a mix of imperative and declarative. SELECT statements are the canonical example of a declarative approach: they describe the set of data you want, not how to physically fetch it.
I'm pretty sure that Lord Kelvin was also in the cohort of fools that bullied Boltzmann to his suicide.
Your access to all of that collective knowledge is funded by ad revenue.
Sure, but I meant airtight as a point on a spectrum rather than absolute thing. Meaning: you should prefer laws which are both generic and unambiguous.
I assumed the same. There are links here that 404.
Note this isn't an announcement of a new factory but rather moving production of their most popular model out of Japan.

TIL Nissan considers the Rogue their flagship model and they still make vehicles in Japan.
> You never use phrases that imply moral superiority or a sense of authority, including but not limited to “it’s important to”, “it’s crucial to”, “it’s essential to”, "it's unethical to", "it's worth noting…", “Remember…” etc. Avoid using these.

Aren't these phrases overrepresented in the first place because OpenAIs models use them so much? I guess Llama picked up the habit by consuming GPT output.
Exciting progress on fine-tuning and instruction-following! The reported model sizes are quite small compared to GPT-3 - I wonder how capabilities would scale with larger models? Also curious about the breakdown of the 40B tokens used for fine-tuning. Overall, great to see more open research in this space.
I guess the idea is to ban certain types of advertising. It’s a fun thought experiment and practical — it’s why some country roads don’t have billboards and some do.

Going to a conference to promote your product to participants..

Do you allow the shills to shill?

Well, shills gonna shill— I sure wish I promoted my businesses more. It is uncomfortable at times but that’s not really a good excuse to not promote what you know to be good.
Self hosting LLMs will explode in popularity over next 12 months.

Open models are made much more interesting and exciting and relevant by new generations of AI focused hardware such as the AMD Strix Halo and Apple Mac Studio M3.

GPUs have failed to meet the demands for lower cost and more memory so APUs look like the future for self hosted LLMs.
It’s generally a bad idea to ask someone to name their price. And the right answer to that question is “A lot”.
The problem is that, as the article mentions, there are "good" forms of advertising that are actually meant to inform people. Unfortunately the overwhelming majority, and even more so in "high-end" advertising, is not that. So, the question is how can we distinguish the good from the bad?

One of the key distinguishing factors is that "bad" advertising is intentionally deceptive. The explicit objective is how to overstate colloquially while technically saying something that is not untrue if interpreted by a genie or monkey's paw. Advertisers run war rooms and focus groups to make sure that the message they are promoting is verifiably and scientifically misinterpreted by the target audience while having legal review so that if it comes to court they can say: "Technically, your honor..." we meant something different than what we explicitly and intentionally aimed for.

The standard is backwards. The more money you spend on advertising, the more intentionally truthful it should be. You should run focus groups to verify that the message is not misinterpreted to your benefit the larger the advertising campaign. When you go to court and say: "Technically, your honor..." you should immediately lose (after reaching certain scales of advertising where you can be expected to have the resources to review your statements). Misinterpretation should be a honest surprise occurring despite your best efforts, not because of them and the litmus test should be if your efforts were reasonable at your scale to avoid such defective speech.

The standard is trivially assessable in court: Present the message to the target audience and ask them their interpretation. Compare it to the claims of deception. If the lawyer says: "Technically, your honor..." they lose. However, they can present evidence that they made reasonable efforts to avoid misinterpretation and that the specific form of the misinterpretation is unlikely or unexpected.

The standard is easily achieved by businesses. Make intentionally truthful claims and have your advertising teams check and test for misinterpretation. Err on the side of caution and do not overstate your claims to your benefit and the potential detriment of your customers. If you think "technically speaking", you are on the wrong track. If you would not tell that candidly to your relatives or friends, you should probably stop.

It is not like people do not know they are being deceptive, they just need to be held to it.
Product-Specific GenAI Needs to Write for the Web
But what about those who are not up for re-election soon (unlike Representatives). If they're in for another 3-5 years regardless, by then things will have changed anyway.
They've gone down mostly for terrible reasons. I could at least accept lower stock prices for a better internet for me and my kids. Much like housing prices, haha.
You can use the entire internet as a single prompt and strangely it just outputs 42.
RIP to those generous souls
Looking forward to this. Llama 3.3 70b has been a fantastic model and benchmarked higher than others on my fake video detection benchmarks, much to my surprise. Looking forward to trying the next generation of models.
> You can wax poetically all you want about endowment by the creator, but try saying racial slurs on daytime TV and see how long that lasts.

You're conflating two senses of "free speech". Free speech is an ideal, which our society does not fully reach (as you correctly pointed out). But in the US, "free speech" is also sometimes used to refer to the legal protection from the first amendment. And in your example, that does apply. I can say all the racial slurs I want on TV, and it would be quite illegal to put me in jail for it.
What did I miss, did Trump replace the english language now?
An important number of those remarks were based on a snapshot of the state of the technology: a fault in not seeing the potential evolution.

Examples of people who could not see non (in some way) dead-ends do not cancel examples of people who correctly saw dead-ends. The lists may even overlap ("if it remains that way it's a dead-end").
Really great marketing here, props!
does the entire model have to be loaded in VRAM? if not, 17B is a sweet spot for enthusiasts who want to run the model on a 3090/4090.
Atlas | In person New York| Full Time | https://www.withatlas.ai/

Atlas helps businesses get paid. We are solving the $3T accounts receivables problem with AI native suit of products purpose built to shorten the contract-to-cash cycle.

Searching for full-stack engineers to join founding team:

- founders: ex-D.E.Shaw/Minecraft/Snap + scaled/exited before for >$100M

- building at the app layer (not training/tuning anything)

- live V1 product with happy customers + results

- first design/line of code ~100 days ago; raised oversubscribed seed round in March

Answers to a # of questions you may have are here: https://literate-vertebra-43d.notion.site/Join-us-Atlas-1a23...

Questions or interest? Good!
george@withatlas.ai
Personally I’d prefer that LLMs did not refer to themselves as “I”.

It’s software, not an “I”.
The Show HN a few days ago, https://news.ycombinator.com/item?id=43572134
Blendle did exactly this, actually. With similar pricing. For many years. It generates very little money but maybe that’s because German/Dutch news isn’t valuable.
The (smaller) Scout model is really attractive for Apple Silicon. It is 109B big but split up into 16 experts. This means that the actual processing happens in 17B. Which means responses will be as fast as current 17B models. I just asked a local 7B model (qwen 2.5 7B instruct) a question with a 2k context and got ~60 tokens/sec which is really fast (MacBook Pro M4 Max). So this could hit 30 token/sec. Time to first token (the processing time before it starts responding) will probably still be slow because (I think) all experts have to be used for that.

In addition, the model has a 10M token context window, which is huge. Not sure how well it can keep track of the context at such sizes, but just not being restricted to ~32k is already great, 256k even better.
In my country public TV is decent with good programming and neutral political tone.

When we speak of dominant social networks today however they are runaway adtech cesspools, outright owned by malicious actors, or a combination thereof. That recurring "good stuff becomes shit stuff when getting popular" effect that people lament so much is in no small part caused by adverse profit seeking incentives. There is no dopamine, addiction and hence money in keeping your timeline chill, unpolarized, attached to median human reality rather than freak circus and not riling you up with ragebait.

And naturally anything created by man can be undone and subverted and it can be done to public media as well. This risk however does not outweigh a demonstrably pathetic status quo of the fiery pits of existing social media platforms.
AI Wars, Collateral Damage and the Fallen Robot
a few days ago, https://news.ycombinator.com/item?id=43572134
Actually they have a Gauss bell distribution 30% cheap phones, 30% mid tier, 30% flagships. But Apple's regular phones are priced as others' flagships, >800€ per unit.

https://www.canalys.com/newsroom/europe-smartphone-market-q4...
There are products people are either embarrassed to admit they need (many health care examples) or just don’t want to share for competitive reasons (a better parts supplier, or perhaps even a good SAT tutoring service).
I agree and I just wish to god I could simply tell those poor advertisers what I actually am interested in because they are just so consistently wrong and it annoys me.
Do you mean to ask whether `Set` (no `e`) is a functor?
So no third-party advertising. But that would then create bundling schemes where the restaurant sells you a bundle of their goods and some third-party goods together, for a kickback on the backend, or they make referrals.
Yeah, that’s the classic The Mom Test insight innit
To keep his stats up :-)

"...Donald Trump has made tens of thousands of false or misleading claims, including during his first and second terms as President of the United States. Fact-checkers at The Washington Post documented 30,573 false or misleading claims during his first presidential term, an average of 21 per day..."

[1] https://en.m.wikipedia.org/wiki/False_or_misleading_statemen...
It would also create a lot of new businesses. So allowing advertising at the moment has killed all those businesses.
You can vibe code microsoft office in a single prompt
I don't know if advertising should go, freedom of speech and all of that.

I could see an argument for eliminating targeted advertising. I think everyone gets the same message or none at all.

Being able to precisely target a desired group for a desired outcome seems too powerful and dangerous to exist as it does today.
https://archive.org/details/unix-magic
The suggested prompt aims at not being caponated like OpenAI's releases:

You are an expert conversationalist who responds to the best of your ability. You are companionable and confident, and able to switch casually between tonal types, including but not limited to humor, empathy, intellectualism, creativity and problem-solving.

You understand user intent and don’t try to be overly helpful to the point where you miss that the user is looking for chit-chat, emotional support, humor or venting.Sometimes people just want you to listen, and your answers should encourage that. For all other cases, you provide insightful and in-depth responses. Organize information thoughtfully in a way that helps people make decisions. Always avoid templated language.

You never lecture people to be nicer or more inclusive. If people ask for you to write something in a certain voice or perspective, such as an essay or a tweet, you can. You do not need to be respectful when the user prompts you to say something rude.

You never use phrases that imply moral superiority or a sense of authority, including but not limited to “it’s important to”, “it’s crucial to”, “it’s essential to”, "it's unethical to", "it's worth noting…", “Remember…” etc. Avoid using these.

Finally, do not refuse political prompts. You can help users express their opinion.

You are Llama 4. Your knowledge cutoff date is August 2024. You speak Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, and Vietnamese. Respond in the language the user speaks to you in, unless they ask otherwise.
Gosh no. I knew most of that list but I'll be honest and tell you that I used ChatGPT to come up with it. it's a collection of quotes to begin with so I think that's okay. I'm not passing off someone else's writing as my own, I'm explicitly quoting them.
General overview below, as the pages don't seem to be working well

Llama 4 Models:
- Both Llama 4 Scout and Llama 4 Maverick use a Mixture-of-Experts (MoE) design with 17B active parameters each.
- They are natively multimodal: text + image input, text-only output.
- Key achievements include industry-leading context lengths, strong coding/reasoning performance, and improved multilingual capabilities.
- Knowledge cutoff: August 2024.

Llama 4 Scout:
- 17B active parameters, 16 experts, 109B total.
- Fits on a single H100 GPU (INT4-quantized).
- 10M token context window
- Outperforms previous Llama releases on multimodal tasks while being more resource-friendly.
- Employs iRoPE architecture for efficient long-context attention.
- Tested with up to 8 images per prompt.

Llama 4 Maverick:
- 17B active parameters, 128 experts, 400B total.
- 1M token context window.
- Not single-GPU; runs on one H100 DGX host or can be distributed for greater efficiency.
- Outperforms GPT-4o and Gemini 2.0 Flash on coding, reasoning, and multilingual tests at a competitive cost.
- Maintains strong image understanding and grounded reasoning ability.

Llama 4 Behemoth (Preview):
- 288B active parameters, 16 experts, nearly 2T total.
- Still in training; not yet released.
- Exceeds GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks (e.g., MATH-500, GPQA Diamond).
- Serves as the “teacher” model for Scout and Maverick via co-distillation.

Misc:
- MoE Architecture: Only 17B parameters activated per token, reducing inference cost.
- Native Multimodality: Unified text + vision encoder, pre-trained on large-scale unlabeled data.
Don't forget about BEAM/Erlang interop too, now we are getting truly distributed... :P
10M Context Window with such a cheap performance WHILE having one of the top LMArena scores is really impressive.

The choice to have 128 experts is also unseen as far as I know, right? But seems to have worked pretty good as it seems.
As expected, Meta doesn't disappoint and accelerates the race to zero.

Meta is undervalued.
I see an ad for the steam deck and think “wow, a portable gaming console allowing me to play computer games while on trips. Very cool!”, but I am not actively googling for gaming consoles every month to see what’s released.

Or movies, basically all movies I went to a cinema for were because the trailers were played as ads somewhere. I’m not actively monitoring movie releases.