skysight-inc/HackerNews huggingface dataset:
> I haven’t tried o3, but one issue I struggle with in large context analysis tasks is the LLMs are never thorough.

o3 does look very promising with regards to large context analysis. I used the same raw data and ran the same prompt as Simon for GPT-4o, GPT-4o mini and DeepSeek R1 and compared their output. You can find the analysis below:

https://beta.gitsense.com/?chat=46493969-17b2-4806-a99c-5d93...

The o3-min model was quite thorough. With reasoning models, it looks like dealing with long context might have gotten a lot better.

Edit:

I was curious if I could get R1 to be more thorough and got the following interesting tidbits.

- Depth Variance: R1 analysis provides more technical infrastructure insights, while o3-mini focuses on developer experience

- Geopolitical Focus: Only R1 analysis addresses China-West tensions explicitly

- Philosophical Scope: R1 contains broader industry meta-commentary absent in o3-mini

- Contrarian Views: o3-mini dedicates specific section to minority opinions

- Temporal Aspects: R1 emphasizes future-looking questions, o3-mini focuses on current implementation

You can find the full analysis at

https://beta.gitsense.com/?chat=95741f4f-b11f-4f0b-8239-83c7...
That was with his money (you know richest person on the planet) and had nothing to do with Tesla.
in the article it explains they have restrictions on pharma content in posts and in this case over-enforced and they corrected.

What's the moral of the story? Are they claiming that Meta is against abortions?

The company pays for employees to travel to get abortions and pays for egg freezing.
With many people too lazy to read 2 walls of text, a lot of picks might be random.
I’ve seen several people claim, with screenshots, that the models have censorship even when run offline using ollama. So it’s allegedly not just from the model being served from China. But also even if the censorship is only in the live service today, perhaps tomorrow it’ll be different. I also expect the censorship and propaganda will be done in less obvious ways in the future, which could be a bigger problem.
Grand Censor Fascist Julie Inman Grant, Cyber Karen of Australia, will get her wish - excommunication of the Australian people.

Social media will block Australian users of all ages. Australian users were really not that valuable anyway, and this just isn’t worth the trouble.
First rule of Lab Club: It's always someone else who broke it.

Second rule of Lab Club: see rule #1.
That’s fine. Your random click would be balanced by someone else randomly clicking
What do you meam "download the model and trrain it yourself"?

If you download the model then you're not training it yourself.

If you train it yourself, sensorship is baked in at this phase, so you can do whatever you want.
I've been using cursor since it launched, sticking almost exclusively to claude-3.5-sonnet because it is incredibly consistent, and rarely loses the plot.

As subsequent models have been released, most of which claim to be better at coding, I've switched cursor to it to give them a try.

o1, o1-pro, deepseek-r1, and the now o3-mini. All of these models suffer from the exact same "adhd." As an example, in a NextJS app, if I do a composer prompt like "on page.tsx [15 LOC], using shadcn components wherever possible, update this page to have a better visual hierarchy."

sonnet nails it almost perfectly every time, but suffers from some date cutoff issues like thinking that shadcn-ui@latest is the repo name.

Every single other model, doesn't matter which, does the following: it starts writing (from scratch), radix-ui components. I will interrupt it and say "DO NOT use radix-ui, use shadcn!" -- it will respond with "ok!" then begin writing its own components from scratch, again not using shadcn.

This is still problematic with o3-mini.

I can't believe it's the models. It must be the instruction-set that cursor is giving it behind the scenes, right? No amount of .cursorrules, or other instruction, seems to get cursor "locked in" the way sonnet just seems to be naturally.

It sucks being stuck on the (now ancient) sonnet, but inexplicably, it remains the only viable coding option for me.

Has anyone found a workaround?
Dupe: https://news.ycombinator.com/item?id=42885688
Of course it’s not, since it restricts how you can use Llama. But even setting the Llama license aside, the actual Llama software is NOT open source - it’s just open weights.
You can also append `&udm=14` to the end of your search url and the AI summary will go away.

If someone hasn't already made a userscript to do this automatically, someone should, it would be very easy.
I think in a lot of ways we are already there. Users are clearly already having difficulty seeing which model is better or if new models are improving over old models. People go back to the same gotcha questions and get different answers based on the random seed. Even the benchmarks are getting very saturated.

These models already do an excellent job with your homework, your corporate PowerPoints and your idle questions. At some point only experts would be able to decide if one response was really better than another.

Our biggest challenge is going to be finding problem domains with low performance that we can still scale up to human performance. And those will be so niche that no one will care.

Agents on the other hand still have a lot of potential. If you can get a model to stay on task with long context and remain grounded then you can start firing your staff.
Add Yahoo! to that list
Interesting.

> Good Commandment 3. Thou shalt limit the duration of a center. ...

> To hit home runs, it’s wise to have many at bats. ...

> It’s hard to predict information technology trends much longer than five years. ...

> US Graduate student lifetimes are about five years. ...

> You need a decade after a center finishes to judge if it was a home run. Just 8 of the
12 centers in Table I are old enough, and only 3 of them—RISC, RAID, and the
Network of Workstations center—could be considered home runs. If slugging .375
is good, then I’m glad that I had many 5-­‐year centers rather than fewer long ones.

(Network of Workstations > Google)
Maybe you have a Chinese search engine to suggest? North Korean should be even better
o1-pro is incredibly good at this. You'll be amazed
Each paragraph/bullet point typically has a little link icon beside it that directs to 2 or 3 sources. I wouldn't rely on it for anything important but it's OK if you just want a quick rundown on an unfamiliar topic and want to check out likely source material.
While I agree with the other comments, that expensive energy is making it difficult for industry in Germany to continue thriving, I think it is not the root cause.

The main problem I perceive (as German in Germany, but I see it all over Europe) is weak leadership. Our current chancellor was pretty much universally perceived as a weak leader. Our ruling politicians have resorted to unambitious projects and smallest common denominator compromises. Germany could have become a global leader in green technology, we had all the ingredients. But in the end we were afraid to make a full commitment, investments were promised then cancelled, laws were promised then not passed, etc. This flip-flopping has made it difficult for industries to make reliable plans and to invest in new technology.

Everybody knew there was a high likelihood Trump would be back and that would mean America first again. We had 8 years to prepare. We did nothing and now again we are surprised he is in power and complain about the effects on Europe. We had 8 years to make ourselves more independent of his political games, we did nothing.

I feel like none of our current big parties have a real vision and strategy for the next 10, 20, 30 years. We are just drifting along hoping it will turn out alright

In the end I think this search for strong leadership is the reason many people are turning to right-leaning if not straight up neonazi parties.

The good news is, the potential is still there. We have a well educated population, energy prices are coming down, our industry is still world leading in many places we just need to use our knowledge and power to become a serious player in this multipolar world again
How much in taxes should you pay on a loss?
Elon Musk was not elected, and his appointment was not confirmed by the senate. And yet he is taking control of the government.

Since Musk took over Twitter it is worth nearly 80% less than when he bought it, according to Fidelity [1]. Is this what he is going to do to the US government?

[1] https://www.cnn.com/2024/10/02/business/elon-musk-twitter-x-...
Small plane crashes in Northeast Philadelphia
>A republican candidate narrowly won the popular vote for the first time in 20 years, a metric that has no value in our system of government.

I can't tell whether you're trying to make a nitpicky point about how the president is elected, or you're trying to claim the concept of political legitimacy doesn't exist.
there's a bit of censorship locally. abliterated model makes it easy to bypass
>it can't ever truly explore the real real world.

Would you believe that computers are made out of atoms, and that computer programs modify those atoms? Via electrons, I believe.
They have definitely open sourced the inference code. I haven't any training code. I don't think HAI-LLM is open source.

But certainly you can take the architecture from the paper and train a similar model. Or you can try to remove the alignment and produce and uncensored version then realign it.

But at least part of the advantage they have is training on Chinese internet data from inside the great firewall that (AFAIK) US companies don't have access to for any price.
Ask HN: Why isn't an open source A/V receiver a thing?
So FFmpeg can decode pretty much any modern home theatre audio standard, including the multi-channel Atmos and DTS. It can take HDMI input, process the audio as separate channels on the fly, mapping them to a sound card, while passing through the video further out. There are very good sound cards that can process the channels and pass the analog signal to also very good and inexpensive, audiofile-level amplifiers.

Why isn’t building a modular A/V receiver a thing, then? Not only it would allow to stay up to date with all the current audio standards, it would allow to update the sound cards and amplifiers independently as the needs change.

Meanwhile we’re pretty much forced to upgrade our receivers every couple years because they don’t update them to support new standards — like the Dolby Vision, which a receiver merely needs to pass through to a TV/projector(!).
StumpWM supports both tiling and stacking windows. The latter are not great, but good enough when needed.
>
Let’s not all point a finger at the “business” boogeyman who doesn’t understand coding is creative without acknowledging that many programmers today are right there with them.

> The current state of interviews tells me that a lot of programmers prefer to think of it as software “engineering” rather than as a craft or trade.

Engineering (things) is a highly creative activity.

(EDIT: See also the comment https://news.ycombinator.com/item?id=42893523 where
drewcoo gives arguments for a similar statement).
what data have they accumulated?

I'm a happy DuoLingo user, but educational software with an owl-with-a-BBL mascot is not going to be a trove of translation capabilities.
They can, it's just that most people don't have the savvy to pull it off.
I always wonder. If we theoretically could know for each photon the direction vector and distance travelled, then could we make a collector that could image an exoplanet? Or is this simply impossible?
It's a weird cycle though where the order of everything is messed up.

The normal tech innovation model is: 1. User problem identified, 2. Technology advancement achieved, 3. Application built to solve problem

With AI, it's turned into: 1. Technology advancement achieved, 2. Applications haphazardly being built to do anything with Technology, 3. Frantic search for users who might want to use applications.

I don't know how the industry thinks they're going to make any money out of the new model.
I did notice it switched models on me once after the first message! Have to make sure the "Pro" dropdown is selected R1 each message. I've had a detailed back and forth where I pasted python tracebacks to have R1 rewrite the code and came away very impressed [0]. Unfortunately saved conversations don't retain the thought-process so you can't see how it debugged its own error where numpy and pandas weren't playing along. I got my result of 283 zip codes that cover most of the 50 states with a hundred mile radius from each zip, plus a script to draw a map of the result [1]. (Later R1 helped me write a script to crawl dealership addresses using this list of zips and a "locate dealers" JSON endpoint left open)

[0] https://www.perplexity.ai/search/how-can-i-construct-a-list-...

[1] https://imgur.com/BhPMCfO
They got 49.8% of the popular vote.
If they depreciated some assets faster, that only delays the taxes by a year or two. They'll still pay.

$300M in tax credits is basically the same as them paying $300M in tax and then getting a big check from the government for meeting some goal. I don't think it should be treated as any kind of avoidance on behalf of the company. Instead, check if the government paid that money for something useful, and if they didn't then blame the government.
That makes sense, thanks. Inflation makes debt cheaper to pay off in the future and transitioning into a right-leaning government hints at corporate tax rates being more favorable in the future.

I guess the caveat here is that it can be adversarial to short-term investors since the businesses assets are becoming worth less more quickly which gives less time for income to offset those expenses. That makes the company's expense:value ratio look worse.

I don't think the answer is to say that everyone needs to follow a linear depreciation curve. Fancy, new tech depreciates much more quickly in its early years than well-established tech. So the basic concept seems to make sense in some applications and I would assume Tesla has some pretty fancy tech that they're investing in.

On the other hand, this area feels a little fishy to me because a more accelerated curve limits the ability for a government to effectively apply taxation to companies during their administration. If companies were able to instantaneously depreciate their assets for 100%, assuming investors were OK with it, they'd just do that whenever the political winds blew in their favor for maximum savings.

It doesn't seem like there's any perfect, one size fits all solution. Accelerated depreciation seems fine, and can reflect the reality of investing in certain tech, but can also be abused by giving companies the ability to cash in when the time is right.
From the linked source: January 2024 was 6.1%
Pitchfork Reviews: Rescored (2021)
And the only reason most domestic airlines, car manufacturers, and some of the largest financial institutions still exist is because of multiple bailouts. It's not like Tesla is unique in being helped by the government.
I've found cursor to be too thin a wrapper. Aider is somehow significantly more functional. Try that.
At least among economists it is not that polarizing. Most agree we should get rid of corporate tax. [0] In reality a corporation cannot pay taxes any more than a table can. Only people can pay taxes. So who pays the corporate tax? It must come from the corporation's consumers, employees, or shareholders (or some combination thereof). Raising the corporate tax is just a sneaky way of raising tax on one or more of those three groups.

[0] https://www.npr.org/sections/money/2012/10/18/163106924/a-ta...
> Do you think they are sitting on a big pile of cash? NO

No, that would be a big pile of Bitcoin[1], actually

[1]: https://fortune.com/2025/01/30/tesla-profits-bitcoin-crypto-...
He specifically says that they're reworking the Ollama server implementation in order to better support other kinds of models, and that such work has priority and is going to be a roadblock for this patch. This is not even news to those who were following the project, and it seems reasonable in many ways - users will want Vulkan to work across the board if it's made available at all, not for it to be limited to the kinds of models that exist today.
> No. That's what de facto means. Taiwan and America can do everything two countries do, with Taiwan being afforded the same rights and privileges--in America--as China, in some cases more, and America afforded the same in Taiwan.

Why aren’t there any U.S. military bases in Taiwan, considering it is one of the most strategic U.S. ally due to reliance on TSMC chips? You said they can do everything, so why not this? Is it because they actually can’t do everything?

Why won’t the U.S. recognize Taiwan? Why not support Taiwan's independence? We all know the answers to these questions.

And if not for TSMC, Taiwan would share the fate of Hong Kong, and no one in the West would do anything.
And a payment method and/or insurance details

And you have to pick it up.

If my address was listed next to my posts on Reddit, I would not feel super anonymous.
^f murder dont reply if you can't be bothered to read.
Correct. The bias is baked into the weights of both V3 and R1, even in the largest 671B parameter model. We're currently conducting analysis on the 671B model running locally to cut through the speculation, and we're seeing interesting biases, including differences between V3 and R1.

Meanwhile, we've released the first part of our research including the dataset: https://news.ycombinator.com/item?id=42879698
Is this a trick question about Hollywood accounting?
Aha! Thanks that's what I was looking for, I ended up on the blog of how to import custom models, including deepseek distills

https://aws.amazon.com/blogs/machine-learning/deploy-deepsee...
He slept at Twitter Offices too [1] and the result is that X is worth 80% less than when he bought it [2]. This irrational human being was neither elected nor confirmed by the senate. And yet he is now running the government?

[1] https://www.cbsnews.com/news/elon-musk-interview-twitter-hea...

[2] https://www.cnn.com/2024/10/02/business/elon-musk-twitter-x-...
It sounds like ironic process theory.
Mistral Small 3 is roughly comparable in capabilities to 4o-mini (apart from 4o-mini's support for multimodality)... o1-mini was already better than GPT-4o (full size) for tasks like writing code, and this is supposedly better than o1 (full size) for those tasks, so... o3-mini is supposedly in a completely different league from Mistral Small 3, and it's not even close.

Of course, the model has only been out for a few hours, so whether it lives up to the benchmarks or not isn't really known yet.
I think in a few years we will be laughing at all those anti-trust cases against Google since web search business will no longer be relevant
>Only people can pay taxes.

But corporations are people..? Can't have it both ways right :/

Unless I'm missing something here.
Germany’s economic model is broken [0], weak consumer confidence [1] and 3 consecutive years of recession looms [2]. IMF puts it the best “Germany’s Real Challenges are Aging, Underinvestment, and Too Much Red Tape” [3]. It’s easier however to blame nuclear power (I do believe nuclear would help but too much emphasis) and immigrants (many of whom without which Germany would be in further crisis). Then, Germany will wonder why parties like AfD are having a major say in the parliament.

[0] https://www.wsj.com/economy/trade/germany-economic-model-bro...

[1] https://www.wsj.com/economy/weak-german-consumer-confidence-...

[2] https://www.dw.com/en/germany-2025-economic-growth-forecast-...

[3] https://www.imf.org/en/News/Articles/2024/03/27/germanys-rea...
By that same logic, nobody should ever change anything about how they do business. We were doing it, clearly it was the thing that the business chose to do, if it weren't the best thing we ever did, we wouldn't have been doing it, ergo, we should not stop doing it.
See also go-script: https://til.simonwillison.net/bash/go-script
> The article doesn't address the other $1.5B

$2.3 billion was the income, not the tax bill.

Presumably $500M accelerated depreciation and $300M of tax credits covered the effective tax bill on $2.3B income.
Not trying to be snarky, but the example prompt you provided is about 1/15th the length and detail of prompts I usually send when working with Cursor.

I tend to exhaustively detail what I want, including package names and versions because I've been to that movie before...
The quest for diversity in the ATC workforce at the FAA is actually pretty horrifying:

https://x.com/tracewoodgrains/status/1752091831095939471
> I agree that if trump tried to illegally pressure zuck into censoring abortion pills, that would be improper on the part of trump, but at the same time I wouldn't fault zuck for caving.

He is clearly caving to pressure, either present or expected.

> The fact that you think it's "morally shitty", suggests think that you agree it's antidemocratic.

No. Democracy and shittiness are not mutually exclusive.
Pegged to the US Dollar, which is not stable, but maybe the least volatile Fiat currency in the world, so it's an upgrade for most people. I just worry about the nature of these pegged crypto currencies. Are they really safe?
I won’t argue it was with his own money, but everything a CEO does affects the company.
There is bias in the training data as well as the fine-tuning. LLMs are stochastic, which means that every time you call it, there's a chance that it will accidentally not censor itself. However, this is only true for certain topics when it comes to DeepSeek-R1. For other topics, it always censors itself.

We're in the middle of conducting research on this using the fully self-hosted open source version of R1 and will release the findings in the next day or so. That should clear up a lot of speculation.
> most art is bland and worthless and has no meaning behind it.

FTFY. There is no such thing as AI art.
One of my peeves with JavaScript is that I feel the reduce() function has its arguments in the wrong order and increases cognitive load. Elixir’s is “right”. I’ve never been that much of a fan of recursion myself. Iteration and list comprehension for me.
> people in a hurry

Huh, I always thought it was the opposite: If you're in a hurry, you go through traditional check-out. Nothing really matches the speed of an experienced and trained grocery store checkout clerk whizzing boxes past the scanner faster than you can load them into your cart. I think traditional checkout can blaze through 30 grocery items before I can even get three or four out of my cart, fumble around with them in front of the scanners, and then get chastised and stopped by the computer because I didn't place the item properly on the shelf next to the checkout machine.
How to disable the LLM summarized thought traces that get spammed into my chat window with o3-mini-high?

Very annoying now having to manually press the "^" to hide the verbose thought traces every single question I ask, totally breaks flow.
What I wonder is whether the problem affects regular people to the point where conditions are worse than in the US. Sure, being unemployed is bad, but it's not necessarily a death sentence if a country has decent health care and a social safety net.
do they usually go down that long though for updates?. This seems extremely suspicious.
But this is not a “takings” case, it’s due process. The fifth amendment says no person shall be deprived of life, liberty, or property without due process of law. Since it was just an administrative decision, he’s saying it’s not due process, and they’re saying they don’t need to give him due process because money isn’t property, which is ridiculous.