skysight-inc/HackerNews huggingface dataset:
> Easier to keep one program update. i.e browser.

You must be relying on inferior update mechanism. This is a solved problem since long with a central package repository as you will find in most linux distros. On windows you have scoop, chocolathy and winget (from microsoft btw) attempting something similar, on macos there is macports and homebrew.

> Even most opensource tools are hundreds of MB

Even if this was true, and it isnt, I dont think you realize how heavy most web pages are today. Those hundreds of MB is used up fast, while the offline app is still there.

> For example, a school teacher in Zambia does not need to download digikam or okular or notepad++ or ffmpeg every week to get security updates.

Agreed. Noone needs to do that. If you are concerned with security, then you should also learn to understand your attack surface. Otherwise it is just FUD.

Example dont feed ffmpeg with unknown files in a uncontrolled fashion. You should understand that the videos you recorded yourself are safe and wouldnt need the very latest update to be processed.

> Once you enter that then you have only https://www.raptorengineering.com/ and using terminal.

What, no. Using normal offline apps is all it takes.
But... you have to go to a shop to get the replacement. I suppose you could mail it by yourself to the manufacturer, though I must admit I never tried that. It requires too much effort, contacting manufacturer, describing the problem, etc. Do people do this?
I'm not sure why they allow helicopters to fly against the other traffic at that airport. You don't see passenger planes flying past each other like that. This practice was obviously a contributor to the recent collision. I'd expect a change to that in the near future.
You realize that even using the word “moat” signals a monopoly to the DOJ? If you have ever worked in BigTech, part of the indoctrination is never to say the word “moat”.

All of BigTech is big because of moats.
Indeed. The privatisation of the English water companies has been a literal shit show. The price to the consumer (e.g. me) goes up every year, but there is ever more shit in our rivers and shit on our beaches. Why? Because my fees go to paying dividends (often to foreign companies and governments) and massive bonuses, while the system falls apart. Last I heard, Thames Water was £14B in debt. The government is apparently unable or unwilling to do anything about it. The water company is a monopoly, so I have no choice in the mater, beyond stopping using water. This is how rapacious capitalism works.
It is expensive at scale. In a world where each gram of CO₂ is taxed. "Windows Timer Resolution: Megawatts Wasted"[0] - Microsoft has since added coarse timers and coalescence.

[0] https://randomascii.wordpress.com/2013/07/08/windows-timer-r...
AI-Generated Code Is a Ticking Time Bomb (and It's Not the AI's Fault)
already forgot that openai exists.
Curious to see how folks see the parts designed to encourage more domestic tech and a bigger startup scene - will it be enough?
To be fair the quality of this article is abysmal. Not sure that a lot of time and effort went into this
Hardware controls are not useful if you listen to lots of audiobooks/podcasts/etc.
o1-pro is a different model than o1.
Going from the breakup of AT&T to the reconstitution of AT&T took about 40 years. Standard Oil probably did the same, though I haven't seen any fancy charts showing it on a timeline like with AT&T. There's probably some useful lessons to pick up from that time if they go the breakup route.
Summary of the video: 24 hours before the fatal helicopter-American CRJ midair crash, a similar event was prevented by TCAS (traffic collision avoidance system) because the plane was above 1000 feet altitude. It shuts off below that.
Vance did not come from big tech, he comes from VC circles in silicon valley which is an important distinction. The people he runs with quite literally call themselves "little tech" [1], and they have an agenda that does not necessarily align with the objectives of big 5 tech firms. However, I'm not at all trying to disagree with you on the fact that much of what he says and does is performative and has ulterior motives.

[1] https://a16z.com/the-little-tech-agenda/
Collaboration is even better, per open source results.

It is the closed competition model that’s being left in the dust.
It looks like a pretty significant increase on SWE-Bench. Although that makes me wonder if there was some formatting or gotcha that was holding the results back before.

If this will work for your use case then it could be a huge discount versus o1. Worth trying again if o1-mini couldn't handle the task before. $4/million output tokens versus $60.

https://platform.openai.com/docs/pricing

I am Tier 5 but I don't believe I have access to it in the API (at least it's not on the limits page and I haven't received an email). It says "rolling out to select Tier 3-5 customers" which means I will have to wait around and just be lucky I guess.
Has the Helm Killer Finally Arrived?
I thought it was o3 that was released one month ago and received high scores on ARC Prize - https://arcprize.org/blog/oai-o3-pub-breakthrough

If they were the same, I would have expected explicit references to o3 in the system card and how o3-mini is distilled or built from o3 - https://cdn.openai.com/o3-mini-system-card.pdf - but there are no references.

Excited at the pace all the same. Excited to dig in. The model naming all around is so confusing. Very difficult to tell what breakthrough innovations occurred.
Even if it is every 6 months one program is easier to update and control than different ones. Usually even if Ubuntu or Windows is never updated - download and updating firefox is stable. Nothing fails.
But if one thinks something like KDE or digikam or other complex tools - it updates 200 libraries that eventually lead to some f'kup - either unusable or driver conflicts in case of Windows.

This brick/EOL is a different issue but common man benefits from simplicity. Yes, environment is trashed or software obsolescence - but yet - most of them buy a new phone or device every at least 5 years (of course, I am talking within my circles - there may be people at different ends).

I used to buy expensive nexus phones. Then I realised I use only WhatsApp and Banking. Now I buy cheapest Motoroola for $100. Works fine. Become EOL in 2 years as they are bad in updates. Get another one for $100. Latest OS.

Instead if one spends latest pixel flagship for $800 - no benefits.

> Updates aren't something inherently bad but they're being used in evil ways with no resort from users other than leave.

Yes there is no resort but people live in real life. They need banking, recent cool apps etc. Some could live like RMS and not use anything modern or use Terminal but most people don't.
That seems very bad. What's the point of a new model that's worse than 4o? I guess it's cheaper in the API and a bit better at coding - but, this doesn't seem compelling.

With DeepSeek I heard OpenAI saying the plan was to move releases on models that were meaningfully better than the competition. Seems like what we're getting is the scheduled releases that are worse than the current versions.
You can pay for the compute and be certain that no one in recording your data with deepseek.
Only "x/sys/unix" outside of tests/benchmarks

~/go/src/github.com/voidDB/voidDB git:(master)
$ go run github.com/tailscale/depaware@latest
github.com/voidDB/voidDB dependencies: (generated by github.com/tailscale/depaware)

github.com/voidDB/voidDB/common from github.com/voidDB/voidDB+
github.com/voidDB/voidDB/cursor from github.com/voidDB/voidDB
github.com/voidDB/voidDB/free from github.com/voidDB/voidDB
github.com/voidDB/voidDB/node from github.com/voidDB/voidDB+
github.com/voidDB/voidDB/reader from github.com/voidDB/voidDB
golang.org/x/sys/unix from github.com/voidDB/voidDB+
bytes from github.com/voidDB/voidDB+
cmp from internal/fmtsort+
encoding/binary from github.com/voidDB/voidDB/common+
errors from bytes+
D fmt from golang.org/x/sys/unix
hash from github.com/voidDB/voidDB+
hash/fnv from github.com/voidDB/voidDB
io from bytes+
io/fs from internal/filepathlite+
iter from reflect+
math from encoding/binary+
math/bits from golang.org/x/sys/unix+
os from fmt+
path from io/fs
reflect from encoding/binary+
slices from encoding/binary+
LD sort from golang.org/x/sys/unix
strconv from fmt+
LD strings from golang.org/x/sys/unix
sync from encoding/binary+
sync/atomic from internal/bisect+
syscall from github.com/voidDB/voidDB/cursor+
time from github.com/voidDB/voidDB+
unicode from bytes+
W unicode/utf16 from internal/poll+
unicode/utf8 from bytes+
Microsoft/Bing is not the dominant (far from it) search/ad/platform provider
Yeah their naming scheme is super confusing, I honestly confuse them all the time.
I think every engineer contemplates this question: "how come it feels like everyone knows everything, and I'm just chasing to catch up"
They really need someone in marketing.

If the model is for technical stuff, then call it the technical model. How is anyone supposed to know what these model names mean?

The only page of theirs attempting to explain this is a total disaster. https://platform.openai.com/docs/models
Agreed, 8-bit data, 16-bit address (but 12-bit program counters) is massive for relays! That's a lot of relays to do anything. But it turns out their start was when they stumbled on 1500 relays in good condition. So they were set in relays from the start and could aim "rather" big. They do have a lot of relays.
As a kayaker, kudos to whoever is behind this.
dupe: https://news.ycombinator.com/item?id=42890627
I'm going to assume the best in your question and disregard your statement.

Reasons to use o3 when deepseek is free/cheaper:

- Some companies/users may already have integrated heavily with OpenAI

- The expanded feature-set (e.g., function-calling, search) could be very powerful

- DeepSeek has deep ties to the Chinese Communist Party and, while the US has its own blackspots, the "steering" of information is far more prevalent in their models

- Local/national regulations might not allow for using DeepSeek due to data privacy concerns

- "free" isn't always better

I'm sure others have better reasons
It's all nice and caring but You forgot these guys killed Giordano Bruno and no regrets about his teachings is in public domain.

Vatican want merge with high tek just to influence it.
It's not about saving someone, it;s about control.

China will make it their own way. India the other. etc
Did anyone else notice that o3-mini's SWE bench dropped from 61% in the leaked System Card earlier today to 49.3% in this blog post, which puts o3-mini back in line with Claude on real-world coding tasks?

Am I missing something?
Keep at it, those ear muscles will be benching solid steel glasses in no time!

Remember; Pain is weakness leaving the body.
My case is not directly nefarious, for example an old popular YouTuber that streamed in the early 2000s taking their content and making a model of them for personal use like a 3D chat bot but with that person's quirks

Edit: when I say "nefarious" I mean you can use that tech to impersonate someone (eg. political reason) but for my case it's more the creeper type cloning someone for personal use eg. Replika

Tangent, the holo vtubers industry is interesting since they build up these characters with some unique persona/theme and then people follow that specific model, they could make themselves into an AI easily since it's a rigged 3D asset but of course it would be boring compared to the real thing
Wake me up when the full o3 is out.
Yes but DeepSeek models can be accessed through the APIs of Cloudflare or GitHub, in which case no training on your data takes place.
It's amazing how much they talk about anti-jailbreaking measures; I can't think of any other class of product that actively tries to stop users doing what they want to do.
> Fraking around with your stereo while driving has never been safe.

I offer it depends on the stereo. My radio adjusts are rarely more than a single button push and/or a knob tweak. Eyes aren't required.
“ 911 calls are mostly public information since they involve public services who all need to communicate with one another.” Umm not in Europe. First of all Tetra/Dimetra calls are E2E encrypted (with some famous vulnerabilities) then there’s privacy laws etc.
It’s surprising that in the US where you have the right to protect your home and privacy even with lethal means, the same measures don’t extend cybernetically.
Zig isn't 1.0 so..
I wish they'd just reveal the CoT (like gemini and deepseek do), it's very helpful to see when the model gets misled by something in your prompt. Paying for tokens you aren't even allowed to see is peak OpenAI.
If marketing terms from intel, AMD, Dell and other tech companies have taught me anything, it's that they need LESS of people in marketing.
Maps well to Kahneman's "Thinking Fast and Slow" framework

system 1 thinking for early layer processing of uncertainty in LLMs. quick, intuitive decisions, focuses on uncertainty, happens in early transformer layers.

system 2 thinking for later layer processing of empowerment (selecting elements that maximize future possibilities). strategic, deliberate evaluation, considering long-term possibilities, happens in later layers.

system 1 = 4o/llama 3.1

system 1 + system 2 = o1/r1 reasoning models

empowerment calculation seems possibly oversimplified - assumes a static value for elements over a dynamic context-dependent empowerment

interesting that higher temperatures improved performance slightly for system 1 models although they still made decisions before empowerment information could influence them

edit: removed the word "novel". The paper shows early-layer processing of uncertainty vs later-layer processing of empowerment.
It’s probably not worth bothering to reply. (Political arguments on the internet are dumb and I doubt you’re actually curious to learn more.)

But if you actually want to know, look at what Zuckerberg has said since the election, read reporting on the Twitter Files, and look into who was responsible for lobbying tech to ban Trump from all platforms after he lost in 2020.

The Republicans I’m sure will now use all these tactics to their own ends, and the previous four years will be forgotten.
I bet you can get one of their models to fix that disaster.
You have to be careful with suggesting to cut out X/Y/Z foods. Said another way, I would recommend OP eat a bag of gluten and see if they end up in the hospital you'll have your diagnosis in 15 minutes and then there'd be no argument.

I'm not speaking about you specifically, parents get the cutting out X/Y/Z food wrong with their kids all the time. It makes people afraid of eating instead of afraid of what they're allergic to. Unless you maintain a strict food journal which I don't have time for why not just take 2x dose of Zyrtec (I'm just a happy customer) for a week, then try the gluten/paleo/soylent/steve jobs diet.

Edit: I am not a medical doctor and taking an antihistamine to mask a food allergy is probably dangerous but I'm still testing myself. OP said they tried Dramamine, which is an antihistime. I've taken that along with many antacids including Nexium and Pepcid which are also antihistimine. Maybe mast cell disorder is what doctors have to call it so someone with a peanut allergy doesn't read this and reaches for zyrtec and a bowl of peanuts and throws out their epipen. That's why I mentioned the pollen cross-reactivity because I think my body is just overreacting so I'm making the executive decision to suppress it. It's been 8 months or so, I've not taken a single Nexium, only a couple pepcid which for my family is basically cured. I moved somewhere with less pollen because I don't like taking pills all the time.

Edit-Edit (I'm really focused on this topic lately): The bottom line is that I reduced my cetirizine use from 15–20 mg/day to about 5 mg/day by moving to a place with less pollen.

If you're experiencing something similar, pay attention to any systemic symptoms and listen to your body. I had eliminated almost all food from my diet to control my gastric issues. But my left ear was having tinnitus. They checked it, they said my ears are very clean and thought it might be middle ear problems. They gave me a list of antihistimines and a nasal steroid (flonase) to try. I channeled my oppositional energy and thought, "Well, if they want me to try it…"

So I bought the entire list they gave me, I took cetirizine once a day, loratadine twice a day, and occasionally a fexofenadine pill (along with my usual double dose of Nexium, which I was desperate to discontinue) plus the Flonase for good measure.

I started cetirizine to manage tinnitus and dizziness, which are entirely separate systemic symptoms that I had never associated with my gastric symptoms or food.

A few days later, my ears cleared, and all my gastric/reflux symptoms disappeared. I quit all antacids on the same _day_. When my middle ears drain, that's my canary in the coal mine. It had worked so well that I wondered how long I had been suffering before I moved to Pollenville in the first place and just didn't notice.

Thanks Pollenville. You were my bag of raw gluten powder.
I expect it has more to do with thermal conductivity
Let me guess, it will drop after the shoe drops from people getting covid vaccines?
Being able to see the thinking trace in R1 is so useful, as you can go back and see if it's getting stuck, making a wrong assumption, missing data, etc. To me that makes it materially more useful than the OpenAI reasoning models, which seem impressive, but are much harder to inspect/debug.
> They really need someone in marketing.

Who said this is not intentional? It seems to work well given that people are hyped every time there's a release, no matter how big the actual improvements are — I'm pretty sure "o3-mini" works better for that purpose than "GPT 4.1.3"
X11 Ruby manager choices are contributing disproportionately to climate change
I ran some quick programming tasks I have used O1 previously:

1. 1/4th time for reasoning for most tasks.

2. Far better results.
But what would we call that model?
OpenAI clearly states that they train on your data https://help.openai.com/en/articles/5722486-how-your-data-is...
It is repugnant that this is able to happen at all. To the extent that the government contracts with a third party, the legal requirements should be none of the data is shared without a warrant.
Show HN: Automate the Creation of CI/CD Pipeline from Hours to Minutes
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CLI Interface: Simple command-line interface with init and build commands.
Minimal Setup: Other than configuring kubectl, Python, installing the package, and providing API keys, there are no additional steps other than filling out the config.yaml.
Graceful Degradation: Blaze CI/CD ensures robust pipeline creation by verifying the existence of resources at each step. If a resource (e.g., repository, project, or application) already exists, Blaze skips its creation to avoid redundancy. If a resource is missing, it creates it automatically.
Disinformation Researchers – Cuts to Trust and Safety
The FAA announced today that all helo operations around DCA are suspended indefinitely.
Maybe they found a need to quantize it further for release, or lobotomise it with more "alignment".
I have to admit I'm kind of surprised by the SWE-bench results. At the highest level of performance o3-mini's CodeForces score is, well, high. I've honestly never really sat down to understand how elo works, all I know is that it scored better than o1, which allegedly as better than ~90% of all competitors on CodeForces. So, you know, o3-mini is pretty good at CodeForces.

But it's SWE-bench scores aren't meaningfully better than Claude, 49.3 vs Claude's 49.0 on the public leaderboard (might be higher now due to recent updates?)

My immediate thoughts, CodeForces (and competitive programming in general) is a poor proxy for performance on general software engineering tasks. Besides that, for all the work put into OpenAI's most recent model it still has a hard time living up to an LLM initially released by Anthropic some time ago, at least according to this benchmark.

Mind you, the Github issues that the problems in SWE-bench were based-off have been around long enough that it's pretty much a given that they've all found their way into the training data of most modern LLMs, so I'm really surprised that o3 isn't meaningfully better than Sonnet.
It's probably time to close that airport. It's too small and very inconveniently (for safety and security) located, even though it's convenient for travelers.
I recently tried Gemini-1.5-Pro for the first time. It was clearly better than DeepSeek or any of the OpenAI models available to Plus subscribers.
> Might be fine for non-critical entertainment systems which nowadays also take voice control

As someone who uses a lot of greasy sunscreen lotion during long sunny-day drives: no, they still aren't. I don't want to talk to my car in the first place, and it probably couldn't hear me anyway with the music loud and the windows down.
Very nice, bookmarking this!
More discussion on official post: https://news.ycombinator.com/item?id=42890627
> there's a real chance they may not learn to drive at all because self driving is ubiquitous.

I don't see unattended self-driving becoming the norm during the next 20 years. I'm skeptical it'll happen in 50 years.

There are an uncountable number of non-foreseeable driving events and road conditions. I believe we'd have to rethink/redesign roads to adjust to limitations of FSD.

Past that: A top reason for late teens not driving now is parents can't afford car insurance rates that approach their housing costs.
Having been on a few hiring committees, both in academia, industry, and state: no, it is not arcane; scoring people fairly and literally against interview questions, that form a fraction of the whole candidate ranking process, are literally exactly what “DEI initiatives” in HR were meant to do.

I have had mandatory trainings about this ad nauseam before I have been allowed to sit on hiring committees. One of the biases “DEI initiatives” warn against is being impressed by people who spew jargon without having done the work, and supporting people who have done the work (and give examples) without spewing jargon.

If the interpretation is “arcane”, that’s an institutional problem that goes far beyond interpreting an interview question that forms a fraction of the interview process. But claiming that’s inherent to organizations that mention diversity in an interview question is setting up a strawman, and HR will have it ground into your head that it is “inequitable”.
Thankfully most are not evil geniuses (though there may be a few), and Trump is so drunk on his own ego that he can't govern well. So I don't share the same degree of pessimism.
On top of that Atari had a very rushed schedule from concept to shipping out the door for cartridge was usually 4 weeks. Longer if it was really special.
I always thought the right to a 'speedy' trial was more about latency than throughput. I.e., the accused shouldn't have to wait 10 years before the trial begins, but no guarantees about the duration of the trial.