MurphyA/hacker-news huggingface dataset:
Show HN: Tl;dr HN – Summaries of the top HN posts and comments (powered by AI)
by colfax23 | 2025-12-30 14:25:07+00:00
I love Hacker News but I rarely have time to read full articles / comments, so I built a simple site to summarize the top posts & comments to make it easier to get a big picture.

A few implementation details:
- It pulls the top stories from the HN Firebase API (`/v0/topstories`)
- Filters stories with >200 points
- Uses Claude Sonnet for post + comment summaries
- Tries to capture the sentiment of the comments (still working on improving this)
- Refreshes both posts + summaries hourly

It has already helped me I hope it helps you! Please let me know if you have any feedback -- still actively iterating on it.
Show HN: Jules Mobile Client – React Native App for Google's Jules AI Assistant
by potetotown | 2025-12-30 14:25:12+00:00
A production-ready mobile client for Google's Jules AI coding assistant built with React Native + Expo.

Key features:

- Expo SDK 54 + React Native 0.81 with TypeScript
- Expo Router for file-based navigation
- Custom hooks for Jules API integration (sessions, activities, sources, plan approval)
- expo-secure-store for encrypted API key storage
- Real-time session chat with 5-second polling
- Markdown rendering with syntax highlighting
- Dark/light theme + i18n (English/Japanese)
- Performance optimizations: memoized components, FlatList virtualization, efficient pagination

Architecture highlights:
- Clean layer separation (presentation/components/hooks/data)
- Context API for global state management
- Comprehensive TypeScript types for all API responses
- Detailed documentation with architecture diagrams

Docs: https://github.com/linkalls/jules-mobile-client/blob/master/...
by kaffekaka | 2025-12-30 14:25:34+00:00
I am thinking the same. Is the bottleneck for many people just how many different tasks they can press through a certain window of time?

I feel that maybe a couple of things in parallel could be useful at certain times, but more often the need is not for "one more jira ticket in the pipeline" but rather things like meetings, discussing strategy, clarifying things so they can be built at all as opposed to actually having ten crystal clear tasks to unleash the bot army on.
by saddlepaddle | 2025-12-30 14:25:38+00:00
Yep, there's a set of tasks I never have to babysit anymore and it's very freeing. Our desktop builds are 15m sometimes, and instead of checking it and waiting I have Claude watch the job, download the build from GitHub when it's done, and then open it in finder so I get a little popup

Gives me 15 more minutes to work on another task!
by mrob | 2025-12-30 14:25:43+00:00
It's a clarity problem too. Stereo speakers always have comb filtering because of the different path lengths from each ear to the two speakers. It's mitigated somewhat by room reflections (ideally diffuse reflections), but the only way to avoid it entirely is by using headphones.

Try listening to some mono pink noise on a stereo loudspeaker setup, first hard-panned to a single speaker, and then centered. The effect is especially obvious when you move your head.
by Ygg2 | 2025-12-30 14:25:58+00:00
It's functional - yes, intuitive - maybe, but optimized is highly debatable.

The answer to maintaining a highly functional and stable OS is piles and piles of backwards compatibility misery on the devs.

You want Windows 9? Sorry, some code checks the string for Windows 9 to determine if the OS is Windows 95 or 98.
by dent9 | 2025-12-30 14:26:23+00:00
This is completely wrong. Codex 5.2 and Claude Sonnet 4.5 don't have any of these issues. They will regularly tell you that you're wrong if you bother to ask them and they will explain why and what a better solution is. They don't make up anything. The code they produce is noticeably more efficient in LoC than previous models. And yes they really will do research, they will search the Internet for docs and articles as needed and cite their references inline with their answers.

You talk as if you haven't used a LLM since 2024. It's now almost 2026 and things have changed a lot.
Ask HN: Could identical twins better optimize career discovery?
by amichail | 2025-12-30 14:26:33+00:00
I was thinking about identical twins and career choice and wondered if there is an untapped optimization strategy here.

Identical twins often share many traits that influence career satisfaction, like interests, stress tolerance, values, and cognitive style. Because of that, information learned by one twin about what they like or dislike in a job may partially transfer to the other.

In theory, twins could coordinate early career exploration. Instead of both trying similar paths, each twin deliberately tries different industries, roles, or work environments. They then share detailed feedback about what felt engaging, draining, motivating, or misaligned. This could reduce duplicated trial and error and help both converge faster on careers they are likely to enjoy.

This would work best with low risk, reversible experiments such as internships, short contracts, coursework, or job shadowing. It would not replace individual exploration, since some preferences only show up firsthand, but it could supplement it.

Identical twins do not usually do this deliberately. Most career paths unfold independently, and twins often feel pressure to differentiate rather than coordinate. When something like this happens, it seems accidental rather than strategic.

What do you think of this idea?
by afishhh | 2025-12-30 14:27:07+00:00
I'm having a lot of trouble understanding what you're trying to convey. You say there's a difference from previous "speculation" but also that it's still speculation. Then you go on to write "ALREADY going to" which is future tense (speculation), even clarifying what the speculation is.

Is this sarcasm, ragebait, or a serious argument?
by bayeslaw | 2025-12-30 14:27:14+00:00
Most things worth doing are simple and hard.

- Raising good kids: be present, be patient, love them unconditionally, let them be.
- Staying married 40 years: communicate daily, accept them instead of trying to change them, do joyful things together, preserve your intimacy.
- Getting in shape: eat less and real food, move daily, lift heavy things, sleep enough.

The entire instruction set fits on a napkin. That's why they're hard.
There's no hack. No shortcut. No "one amazing trick." Just the same simple things, done repeatedly, even when you don't feel like it.

But simple doesn't sell.

So there's a $50 billion industry dedicated to convincing you these are actually complex problems requiring complex solutions.

The fitness industry doesn't make money from "eat less, move more." They make money from 200-page protocols, gut microbiome analyses, and metabolic typing assessments.

Productivity gurus turn "just do the work" into 12-week courses on neural optimization.

Management consultancies rake in billions writing unintelligible strategy docs and transformation frameworks.

They take something simple/hard and dress it up as complex/hard. Because complexity sells. Complexity looks like expertise. Complexity justifies the $1,997 price tag.

Now, some things ARE genuinely complex/hard.

Curing cancer. Building rockets. Proving mathematical theorems. You can't napkin those. They're irreducibly complex.

Most good companies push things from complex/hard to complex/easy (Mailchimp, Salesforce). Once-in-a-generation companies push to simple/easy (iPhone, Google, Stripe).

But some things will never be easy.

Starting a profitable business will never be easy.
Talking to strangers about their problems will never be easy.
Making the call to pivot or push will never be easy.

These require courage, judgment, persistence. You can't automate those.

So we're pushing business validation to simple/hard. Automate the dozens of variables that don't require human work & judgment.
Leave founders with only three:
- talk to customers,
- listen to what they actually say,
- make decisions based on real signal.

Simple and hard. That's where everything good in life actually lives. The instruction set fits on a napkin. The execution takes everything you have.
No framework to hide behind. No dashboard to blame. Just you and the work.
by throw0101c | 2025-12-30 14:27:36+00:00
> This is why I love listening to Joe Rogan […]

Climate Town had a video a little while ago, "Joe Rogan Doesn't Understand Graphs", where Rogan talks about a Washington Post article and says things about it that are the exact opposite of what is written in the article:

* https://www.youtube.com/watch?v=r1bMJekCiBw

* https://www.climatetownproductions.com/youtube/rogan

> I’m generally suspicious of people who tell me I shouldn’t listen directly to the words of people they dislike.

You mean like Mel Gibson talking about climate change, without any pushback or being unchallenged by Rogan?
by threethirtytwo | 2025-12-30 14:27:38+00:00
First examine your post. Can you create a 3D avatar with legs that can walk and talk?

If not, then for this area you’ve been steam rolled.

Anyway main point is, you’re looking at the hype headlines which are ludicrous. Where most optimists come from is that they are using it in the daily to code. To them it’s right in front of their eyes.

I’m not sure what your experience is but my opinion on AI doesn’t come from speculation. It comes from on the ground experience on how AI currently has changed my job role completely. If I hold the technology to be fixed and to not improve into the future then my point still stands. I’m not speculating. Most AI optimists aren’t speculating.

The current on the ground performance is what’s causing the divide. Some people have seen it fully others only have a rudimentary trial.
by devnavigator | 2025-12-30 14:27:50+00:00
Responsible AI Principles are no longer abstract ideals reserved for policy documents or ethics boards. As artificial intelligence becomes embedded in everyday business decisions, these principles must translate into concrete actions that shape how systems are designed, deployed, monitored, and governed. This article outlines six Responsible AI Principles that help organizations move from intention to execution, balancing innovation with accountability, trust, and resilience. Together, they provide a practical framework for building AI systems that deliver value while managing risk in real operational environments.
by CuriouslyC | 2025-12-30 14:27:58+00:00
I'll take you at your word regarding respectfully. That was an off the cuff attempt to explain the real levers that control the viability of agents under particular circumstances. The target market wasn't your average business potato but someone who might care about a hand waived "order approximate" estimator kind of like big-O notation, which is equally hand waivey.

Given that, if you want to revisit your comment in a constructive way rather than doing an empty drive by, I'll read your words with an open mind.
by realitydrift | 2025-12-30 14:28:30+00:00
Most memory tools are really about coordination, not recall. The problem shows up when context splinters across sessions, tools, and parallel agents and there’s no longer a clear source of truth. Retrieval only helps if you can see what was pulled in and why, otherwise hidden context quietly warps the work. The only metric that matters is whether you spend less time re-explaining decisions and more time continuing from where you actually left off.
by lesuorac | 2025-12-30 14:28:57+00:00
It's absolutely the producer's fault. They actively choose to release the product they did instead of making more episodes, taking long, bringing other people in to help, etc.

Martin has claimed he flew to HBO to convince them to do 10 seasons of 10 episodes instead of the 8 seasons with just 8 episodes in the final one [1]. It was straight up just D.B. Weiss and David Benioff call how the series ended.

[1]: https://variety.com/2022/tv/news/george-rr-martin-shut-out-g...
by saddlepaddle | 2025-12-30 14:29:10+00:00
YES their project is great, there's a lot in the planning space that would be extremely useful (grabbing your Circleback notes -> creating tickets, having playbooks like Devin in ticket form so you can choose what to build first, etc. etc.)

I'd need to do a refresher but for Cursor agents you can choose any model but you're tied to their tooling right? I've heard they're really solid I just find people have their cli preferences and being terminal-first let's anyone bring their favorite agent along for the ride
by ffuxlpff | 2025-12-30 14:29:44+00:00
In every organization mature enough busywork will surpass real work for two reasons.

First: it cannot fail an so is not a career risk to anyone involved.

Secondly: because it doesn't produce anything meaningful it is trivially easy to manage and organize. Just like stacking boxes. No risk of missing the original mission or getting unexpected results.

In any organization old enough the main activity is the management and busywork is ideal to its needs.
by glimshe | 2025-12-30 14:29:44+00:00
Their success is a big part of why the experience is so bad as they have to appeal to a common denominator.

At the same time, they also win on the little things that diehard opponents choose to ignore, like search that kind of works. I don't like Office 365 but I'm a paying customer because, after long research, I haven't found a competitor that meets all my requirements.
by 112233 | 2025-12-30 14:30:00+00:00
Closest to what you say that I can find is 5.1.2.3 §4 of N3096

In the abstract machine, all expressions are evaluated as specified by the semantics. An actual
implementation need not evaluate part of an expression if it can deduce that its value is not used
and that no needed side effects are produced (including any caused by calling a function or through
volatile access to an object)

Problem is, calling external library function has a needed side effect of calling that library function. I do not see language that allows simply not doing that, based on assumed but unknown function behaviour.
by aprilthird2021 | 2025-12-30 14:31:13+00:00
But those resources are already redistributed (from a distribution that somewhat aligns with demographics) with things like personal relationships (think legacy admissions or a father's buddy handshake internship). AA is meant to correct historical instances of this which snowball into familial / generational wealth and (most difficult to diffuse) social capital that was distributed unfairly.

That's the argument for it, not my belief. The argument for AA is that the so-called meritocracy had/has its own unequal distributions.
by anon84873628 | 2025-12-30 14:32:00+00:00
Do you disagree that some critics of AA are committing that fallacy?

AA is being used as an example of the failure mode where:

"The failure of a single component does not mean the program is fatally flawed; rather, it highlights the need for a comprehensive, coordinated approach"

Indeed, I'm sure the author would agree that part of the comprehensive solution is to increase the amount of university admission slots.
by gwbas1c | 2025-12-30 14:32:03+00:00
There is no legal mandate for NACS.

Cars are still sold with J1772/CCS ports, there are still CCS chargers being deployed, there are still J1772 home chargers being sold, almost every level 2 charger is J1772, and my NACS EV came with two dongles.

(FWIW, the new Leaf has a NACS port that's only used for level 3 charging, and separate J1772 port for level 1/2 charging.)

If there was a legal mandate for a changeover, it would be a very different story.

---

We pretty much need to force NACS: Force all public chargers (level 2 and 3) to be NACS, force all cars sold to be NACS, and make it super-easy for people with older cars to get dongles.
by bko | 2025-12-30 14:32:22+00:00
Did we read the same article?

The third sentence is "The codebase is 18,935 lines not including tests." You can go to the repo and see what it does. Look at issues, PRs, etc. He wasn't saying it to brag about its size, but the opposite.

The mission is to commoditize the petaflop. Basically allow LLMs to be trained efficiently on commodity non-NVIDIA GPUs. Would you prefer some bullshit mission like Meta of "connecting people" or whatever the hell it is?

He said he has a hardware division that makes $2m a year. You can click on the link and buy a computer. He tells you the revenue.

He said he has a deal with AMD which is also public and on X.

The "Elon process" relies specifically to the goal of getting rid of all dependencies. Musk has spoken extensively about building things from the ground up and not relying on other vendors (in this example complex software dependencies). He says he wouldn't be able to build SpaceX competitively if he had just bought rockets or components.

I wish more people focused on public code and shipping publicly. Can I see Toyotas stack? Why does the touch screen perform worse than a 2012 iPad. What the hell is going on

I don't understand this hate someone like Hotz, a true engineer running an ambitious very open company, receives on a ... checks notes ... engineering forum? The whole setup is like a wet dream for engineers from a decade ago.

Almost completely open source

Interview is completing a paid bounty

CEO is engineer

Has a clear mission, goals, and timeline

What is your issue?
by riddley | 2025-12-30 14:32:46+00:00
How funny. I just spent the weekend AI slopping an FFI wrapper around notcurses because I couldn't find anything else. This looks amazing!

Since you asked for ideas in a different comment, here's something I put into my notcurses wrapper: grid and flex "css" layouts. Meaning the ability to say whatever.fixed(cols,...) and whatever.flex(:fr1) or whatever.grid(:fr1) and the ability to do a "grid-template-areas" style ascci art ala https://developer.mozilla.org/en-US/docs/Web/CSS/Guides/Grid...
by impossiblefork | 2025-12-30 14:33:00+00:00
I think the interesting thing would be if something like Euclyd is successful, and the 10 GW become 100 MW, and the giant server halls become 800 cabinets total.

Then the inference mega datacentre investment becomes a losing proposition for those who paid too much for the wrong kind of computers, but AI users still get more compute, lower prices etc.
by piva00 | 2025-12-30 14:33:09+00:00
The GPUs being used for AI training aren't useful for running games, I highly doubt they could be repurposed for that.

They can run other ML stuff but I don't see how the world could absorb the amount of compute/RAM for these other workflows.

Since the hardware itself depreciates quite fast compared to the buildings, the long lasting physical structure is probably the best bet, being repurposed for more general computing (since all HVAC, electricity, and other expensive infrastructure is already in place).
by shayway | 2025-12-30 14:33:16+00:00
I'm sorry to hear that.

Where I live actually has the opposite; there are ~6 within a mile, and they're usually completely full. People are always dumping huge collections into them, to where I never even have the chance to give back myself.

I don't know what makes it different here. But it is possible for them to work without safeguards.
by realitydrift | 2025-12-30 14:33:37+00:00
Meta’s “AI ads going rogue” is the Optimization Trap made literal. Once the system can only see measurable metrics, it starts evolving creative toward whatever spikes them. The granny ad is a semantic fidelity collapse in miniature, as brand meaning gets compressed into click through proxies, and the output drifts into uncanny nonsense that can still perform. The scary part is the UX layer quietly re-enabling toggles, because internal incentives reward feature adoption and spend, not advertiser intent or customer trust. You end up paying for a black box feedback loop that generates plausible slop, burns goodwill, and leaves you doing more manual oversight than before.
by aprilthird2021 | 2025-12-30 14:34:09+00:00
> Poor countries tend to stay poor not due to fundamental resource constraints but due to self-reinforcing loops of desperate crab-bucket like behavior, where everyone is cheating one another out of necessity (or culture)

This doesn't seem true and I'd be interested in any stats that back this up. It reminds me of a very interesting result (that most never internalize) which is that the number one way to avoid corruption is to pay public servants handsomely such that the job rivals the private sphere. Most developing countries can't do that, and that's why most of them have issues with corruption.

Rich countries also have crab-bucket like behavior. You don't have to look twice at the current US administration to see lots of corruption and cheating and fraud, for example.
by vladvasiliu | 2025-12-30 14:34:12+00:00
I don't particularly like that, but even so, it doesn't preclude having a "standard" or "no enhancement" option, even if it's not the default.

On my TCL TV I can turn off "smart" image and a bunch of other crap, and there's a "standard" image mode. But I'm not convinced that's actually "as close to reference as the panel can get". One reason is that there is noticeable input lag when connected to a pc, whereas if I switch it to "pc", the lag is basically gone, but the image looks different. So I have no idea which is the "standard" one.

Ironically, when I first turned it on, all the "smart" things were off.
by jennyholzer3 | 2025-12-30 14:34:45+00:00
I think you'd have to be stupid to expect productivity gains from your software developers using LLMs

edit: a lot of articles like this have been popping up recently to say "LLMs aren't as good as we hyped them up to be, but they still increase developer productivity by 10-15%".

I think that is a big lie.

I do not think LLMs have been shown to increase developer productivity in any capacity.

Frankly, I think LLMs drastically degrade developer performance.

LLMs make people stupider.
by saddlepaddle | 2025-12-30 14:35:00+00:00
No you're good, it's fair feedback! I think a fair description of where we're at is "if you use a cli agent for 90+% of your work, this is a drop-in terminal replacement that'll make it easier for you to run them in parallel". It definitely is dependent on you preferring a CLI agent like Claude Code, but for us since it's all we use the worktree management was a missing component!
by asimpletune | 2025-12-30 14:35:09+00:00
I think something that often isn't considered with affirmative action is the benefits that are conferred to the people who are not in a minority. In other words it is a genuinely useful thing to go to a university with a broad spectrum of people and ideas.

In a purely meritocratic sense, all other beings equal a university that provides a diverse faculty and student body will better educate its students than a university that doesn't, all other things remaining equal.
by SR2Z | 2025-12-30 14:35:17+00:00
You say that like they bought something off the shelf which just worked the first time they used it. They did not - it was a collaboration and Tesla spent a lot of money and time to get it to work.

I'm not gonna link the articles, but there are photos of the mountains of defective parts and plenty of people complaining about how terrible the first cars produced that way were. Tesla persevered and now other car manufacturers are trying to duplicate their results.
by realitydrift | 2025-12-30 14:35:46+00:00
This reads more like a semantic fidelity problem at the infrastructure layer. We’ve normalized drift because embeddings feel fuzzy, but the moment they’re persisted and reused, they become part of system state, and silent divergence across hardware breaks auditability and coordination. Locking down determinism where we still can feels like a prerequisite for anything beyond toy agents, especially once decisions need to be replayed, verified, or agreed upon.