MurphyA/hacker-news huggingface dataset:
by mmaunder | 2026-03-05 02:58:34+00:00
Google really know how to screw up a product experience.

npm install -g @googleworkspace/cli

gws auth setup

{
"error": {
"code": 400,
"message": "gcloud CLI not found. Install it from https://cloud.google.com/sdk/docs/install",
"reason": "validationError"
}
}

Which takes you to...

https://docs.cloud.google.com/sdk/docs/install-sdk

Where you have to download a tarball, extract it and run a shell script.

I mean how hard is it to just imitate everyone else out there and make it a straight up npm install?
by eviks | 2026-03-05 02:59:04+00:00
> Better to give me everything I can discover in a menu

Of course you're not given everything, that'd be hundreds of items

> rather than make a zillion fugly buttons and cluttering up the chrome.

This isn't the only alternative

> menu the ultimate discoverability tool

It isn't very discoverable, there is no search and no good convenient contextual explanation of what the options are

So a failure across all your metrics
by Lerc | 2026-03-05 02:59:19+00:00
I'm using a (fairly crappy) HP laptop with 16 gig, running Linux.

I find that the combination of FireFox and Visual Studio gets to the point where it fills up to the point where things get killed (with swap filled as well).

Mate system monitor hilariously reports code using 71MB and firefox-bin using 1.1GB because it has a tree view that doesn't show the usage of collapsed nodes beneath it.

Using smem shows each using multi GB and at my current level I've got 6GB of cache to eat up before it kills code again. Ordering by size Ghostty is the first thing that is not firefox or code at 78MB total. (and about 1GB of non-cache kernel use) . So essentially it's only those two apps that are the problem. Can Macs get by simply because Safari is better with RAM?
by IncreasePosts | 2026-03-05 02:59:22+00:00
Same. What sam tried to do on his own, he failed at (not horribly failed, but he certainly wasn't in the same league as zuckerberg or page or gates or musk - he raised at least $30M then was forced to sell a failure of a product for $40M).

His ascendancy only came when he basically was given an ulta powerful position by an ultra powerful man.
by Manuel_D | 2026-03-05 02:59:26+00:00
The reality is that most people are tolerant of, if not supportive of surveiling car traffic. If tracking vehicle movements on public roads is such a bad thing, there'd be overwhelming support for removing license plates from vehicles. The whole purpose of a license plate is to facilitate surveillance of vehicles.

But of course, most people aren't in favor of that. They realize that cars are dangerous and behavior like speeding and running red lights needs to be claimed down on. When people are victims of crimes they like it when the police are able to track down the perpetrators - and traffic cameras are good at facilitating that. Outside of the HN bubble there's at lot less reflexive rejection of cameras.
by CivBase | 2026-03-05 02:59:27+00:00
Nobody is harmed by the pursuit of perfection. But the adoption of GraphineOS has certainly been hampered by its lack of device support.

I personally believe the project would achieve more overall value if they supported more devices - assuming the project is capable of doing so without sacrificing software quality. That includes support of devices which do not meet the project's current security standards.

When did I make any demands of GraphineOS? I have no expectation that they support me. I'm not entitled to benefit from the work they've done. My opinions are merely opinions and those who maintain and contribute to GraphineOS are not obligated to value them.
by jrumbut | 2026-03-05 02:59:28+00:00
Well the essence of software engineering is taking this complex real world tasks and breaking them down into simpler parts until they can be done by simple (conceptually) digital circuits.

So it's not surprising that eventually autocomplete can reach up from those circuits and take on some tasks that have already been made simple enough.

I think what's so interesting is how uneven that reach is. Some tasks it is better than at least 90% of devs and maybe even superhuman (which, in this case, I mean better than any single human. I've never seen an LLM do something that a small team couldn't do better if given a reasonable amount of time). Other cases actual old school autocomplete might do a better job, the extra capabilities added up to negative value and its presence was a distraction.

Sometimes there is an obvious reason why (solving a problem with lots of example solution online vs working with poorly documented proprietary technologies), but other times there isn't. They certainly have raised the floor somewhat, but the peaks and valleys remain enormous which is interesting.

To me that implies there is both lots of untapped potential and challenges the LLM developers have not even begun to face.
by hedora | 2026-03-05 03:01:20+00:00
Are you sure they're doing great? By what metric?

What have they produced recently? I found a few lists online and looked at Wikipedia, and their big hits are all > 10-15 years old (or sequels/re-releases). Many of those are decade-old acquisitions of franchises that were ancient at acquisition.

Revenue, or forward revenue? Their most recent quarterly games revenue was down 9% YoY. XBox console sales (leading indicator) are down 32%: https://www.tomshardware.com/video-games/xbox/microsofts-gam...

Market share? The top N companies from this list have $197B in annual revenue. MS Studios is toward the top of the list, but they only have 12% market share. https://en.wikipedia.org/wiki/List_of_largest_video_game_com...

Distribution and marketing? I wouldn't even know how to buy one of their games. I have a Linux gaming PC, a Mac, a switch, an iPhone, iPad, Apple TV and a XBone. We spend a few hundred dollars a year on video games, but I haven't seen anything suggesting any MS studio products work on any of our hardware, or are available on any distribution channels that reach any of our devices. Maybe they're on iPad, iPhone or Android? I haven't checked because we don't use those for gaming.

I don't think we're that strange for having zero windows machines. It's down to ~ 30% of web browser market share: https://en.wikipedia.org/wiki/Usage_share_of_operating_syste...

Windows is at ~ 95% of steam market share, so I guess that's one bright point for MS studios. However, many game developers release on Steam and console, so it doesn't imply that 95% of those other studios' customers could run a MS studio game.

Customer retention? The last time I plugged the XBone in, I spent 45 minutes screwing with bugs in the account password dialog, finally logged in, and then walked away. I unplugged it for good after the updates completed. In contrast, I spent less time than that installing Linux + Steam on my most recent PC. I guess they dropped support for XBox One at some point? I started having problems with it five years ago. I don't remember a big compatibility-break launch since I purchased it, so I'd expect it to be able to turn on + connect to their servers, or at least run the games it's already downloaded + installed.

I do own one MS game that still works: A copy of Minecraft. It took over 8 hours to figure out how to get it stop constantly asking my kids for my master MS account password. That did convince me to actually wipe all data from my Microsoft account, so I guess it was a win.
by andsoitis | 2026-03-05 03:02:01+00:00
> Neither Apple nor Xerox "invented" overlapping windows.

Apple Lisa and Macintosh are widely credited with the first practical, commercial implementation of overlapping windows in a Graphical User Interface.

Although Xerox PARC developed early prototypes, Apple engineer Bill Atkinson is credited with creating the code that made functional, rapid-rendering overlapping windows possible.
by reaperducer | 2026-03-05 03:02:03+00:00
15 years ago, almost every news site had a RSS feed, some had several ones. Today? RSS feed is rare.

It may be a reflection of where you get your news.

New York Times, Washington Post, Wall Street Journal, Radio Free Europe, Mainichi, and lots of other legitimate primary source Big-J journalism news sites have RSS.

Rando McRepost's AI-Generated Rehash Blog? Not so much.
by latexr | 2026-03-05 03:02:39+00:00
The number is irrelevant. They are being used as separators on every list item, of course there are many. They could all be hyphens or arrows or colons and it would be exactly the same.

Look, I’m not saying this wasn’t written with an LLM. What I’m saying is that you don’t know that judging by the em-dashes alone.
by getnormality | 2026-03-05 03:02:41+00:00
There is much less to this essay than meets the eye. It boils down to this:

1. The author thinks "it turns out" should only be used to express discovery of objectively surprising facts.

2. Paul Graham sometimes uses "it turns out" to express discovery of subjectively surprising facts.

3. The author finds the difference between his opinion and Paul Graham's opinion objectionable.

It turns out that people use stock phrases in different ways!
by lmeyerov | 2026-03-05 03:03:14+00:00
I find it confusing in most directions.

Ex: For the above statement, if they're truly dishonest brokers and openly ignore the rules that are inconvenient, they would have zero problems agreeing to Anthropic's terms and then violating them. So what you say may be quite true, but there would still need to be more to the story for it to make sense.

Ex: DoW officials are stating that they were shocked that their vendor checked in on whether signed contractual safety terms were violated: They require a vendor who won't do such a check. But that opens up other confusing oversight questions, eg, instead of a backchannel check, would they have preferred straight to the IG? Or the IG more aggressively checking these things unasked so vendors don't? It's hard to imagine such an important and publicly visible negotiation being driven by internal regulatory politicking.

I wonder if there's a straighter line for all these things. Irrespective of whether folks like or dislike the administration, they love hardball negotiations and to make money. So as with most things in business and government, follow the money...
by infogulch | 2026-03-05 03:03:16+00:00
The FUTO keyboard is pretty good. All offline, customizable design, good speech recognition, tolerable swipe typing. It's published under a distinct opensource-ish license if you care about that. It's technically a paid app but with an indefinite trial period and and a license checking scheme based on human trust (click the 'yes I bought it' button and it accepts). Worth $5 imo, I bought additional copies for friends and family too.

https://keyboard.futo.org/

https://github.com/futo-org/android-keyboard
by rerdavies | 2026-03-05 03:03:16+00:00
Claude Sonnet 4.6. With some brief experimentation with Gemini 3 Pro and GPT 5.3 Codex (both of which seem excellent so far). Perversely, I'm more comfortable at the moment with Claude Sonnet 4.6, just because I have a ballpark sense of how far it can be pushed before it loses it, and haven't yet developed the corresponding bat-sense for Gemini 3 Pro and GPT 5.3 Codex.
by casey2 | 2026-03-05 03:04:21+00:00
Nor any semicolons. Also full of nonsense. SWF fundamentally runs action script. The idea that you are going to have a AS3 to C# transpiler and a C# scripting engine AND export SWFs is incongruous. Again, "C# code executed when the playhead enters a keyframe." Now I'd love the oppurinity to learn, but ctrl+f c# here [1] shows 0 results. Though I'm sure I'm just misunderstanding the meaning here ( ≖_≖).

[1] https://open-flash.github.io/mirrors/swf-spec-19.pdf
by EmbarrassedHelp | 2026-03-05 03:04:39+00:00
> I'm not saying no E2E messaging apps should exist, but maybe it doesn't need to for minors in social media apps. However, an alternative could be allowing the sharing of the encryption key with a parent so that there is the ability for someone to monitor messages.

The problem with that idea, that you are implying E2E should require age verification. Everyone should have access to secure end to end encryption.
by collabs | 2026-03-05 03:05:00+00:00
Let us not worry about "the whole economy". Yes, we know there is massive Executive overreach with tariffs and immigration. Yes, we know Congress is deadlocked to the point of being worse than useless. Yes, the SCOTUS also has its own problems with a majority of the public no longer having any faith in the judiciary. Lets start with things the FEDeral Reserve can fix, right here, right now.

Narrow banking now.

This is something the Federal Reserve can actually fix. Give every single US person (I am not a lawyer and I can't define what counts as a US person) a fee-free bank account with the Federal Reserve. Cut out the middle men of commercial banks. I think that alone will go a long way to drive down business costs.
by sjfaljf | 2026-03-05 03:05:48+00:00
I wonder who asked for these two safety conditions first, DoW or Anthropic. I remember reading earlier that president's family is an early investor in openai, anthropic was winning this year, both companies are on the way to ipo. It could have been a trap, loose-loose situation - drop safety requirements and loose reputation, stay firm on safety - loose contract.
by underlipton | 2026-03-05 03:06:11+00:00
Financialization and the diffusion, across the economy, of the risk of dozens of major bad-bet nuclear detonations in the securities and commodities markets. The bets were never closed - not really - because the losses would have lead to immediate collapse. You're still paying for 2008 (and earlier debacles, and later ones, too). The economic output of the next few decades is already spoken for.

This hits TFA's culprits, rising insurance and utilities costs. They're just the symptoms, not the source.
by labcomputer | 2026-03-05 03:06:44+00:00
The dirty little not-so-secret is that we pay doctors too much in the US. To the tune of several times as much as other large developed countries, like Germany, France and England. Medical care in the US will never ever be as cheap as those countries as long as the providers here earn 2x or 3x.

That's partly because we have a doctor shortage here (medical schools collude to limit the number of new doctors created each year).

Another part of the problem is the bloated administrative bureaucracy of hospitals in the US, we well as the fact that you aren't allowed to build a new hospital (and yes, this is actually true) unless you can prove that a hospital is needed in a particular community.

With no competitive market for healthcare providers, nor a competitive market for places where they work, why shouldn't they extract as much as they can from the rest of us?

They get away with it, too, because "medical doctor" is one of the highest trusted and most reputable professions. It's badthink to discuss these things in polite company.

Until we fix those things, it simply doesn't matter how the insurance/payment system works. Every time I hear that we need to get rid of private insurers, nobody can seem to explain how doing that will save more than 10-15% despite the fact that insurance companies have a statutorily-limited profit margin.
by yakkomajuri | 2026-03-05 03:07:27+00:00
For all people have to say about Pete the openclaw guy he's been perhaps one of the most vocal voices about CLIs > MCPs (or maybe his is just the loudest?) and he also built a GSuite CLI that probably inspired this project.

I mean it's great that we get this, hopefully it can continue to be maintained and I'd love to see a push for similar stuff for other products and at other companies.
by zeybek | 2026-03-05 03:08:11+00:00
Author here. I've been using PostgreSQL for AI workloads in production for the past 3 years and wrote this book because I kept seeing teams spin up Pinecone, Weaviate, or Chroma when pgvector could handle their use case with less operational overhead.

The book covers:

- Vector similarity search with pgvector (HNSW vs IVFFlat, indexing strategies, hybrid search)

- Building RAG pipelines entirely inside PostgreSQL

- Recommendation systems using collaborative filtering in-database

- Feature engineering with pure SQL

- In-database ML with PostgresML

- Production patterns (monitoring, scaling, CDC with Debezium)

Everything runs on a single Docker Compose stack: PostgreSQL 17 + pgvector + TimescaleDB + Ollama. No GPU required, a laptop with 16 GB RAM is enough.
Two tiers: $29 for PDF, $49 for PDF + EPUB + complete source code with Docker environment.

There's a free sample chapter on the landing page. Happy to answer any questions about PostgreSQL + AI.
by creddit | 2026-03-05 03:09:03+00:00
At least as it's presented in the article, there's no more reason to believe Amodei than there is Altman and Altman is presenting it in a less impassioned way which makes him more believable to anyone who doesn't have in-depth knowledge of the situation.

Going "what he's saying is straight up lies" is no more evidence backed than Altman claiming he asked the DoD to have Anthropic given the same deal as OAI and have the SCR designation avoided.
by madman2890 | 2026-03-05 03:09:26+00:00
Tabular foundation models like TabPFN and related work are extremely promising. They’re starting to show strong results on many classical tabular ML benchmarks and can reduce the amount of manual modeling work required from data scientists.
However, there is a structural reality of enterprise data that these models don’t remove.
Most real-world machine learning problems are not stored in a single clean table.
Instead they live across dozens or hundreds of relational tables:
orders, customers, events, transactions, shipments, products, logs, etc. Each table captures part of the signal, often with one-to-many relationships, time dependencies, and high cardinality entities.
Before any tabular model can be trained, those signals have to be integrated.
In practice this means:
Traversing relational graphs of tables
Aggregating child tables to parent entities
Handling time windows and temporal leakage
Collapsing many-to-many relationships into meaningful features
Producing a single wide training dataset
This step is usually the most time-consuming part of the entire ML workflow.
Even if the model itself becomes automated via a tabular foundation model, the data still has to be prepared.
This is where GraphReduce comes in.
GraphReduce treats the relational database as a graph of entities and relationships. Instead of manually writing large SQL pipelines, the user defines the nodes (tables) and their relationships. GraphReduce then walks the graph and performs the required aggregations automatically, generating a single training dataset.
by deanmoriarty | 2026-03-05 03:09:59+00:00
It’s entirely possible that people who are praising this CEO might have to come up with incredibly convoluted mental gymnastics to defend their position soon: “Anthropic chief back in talks with Pentagon about AI deal”.

Source: https://www.ft.com/content/97bda2ef-fc06-40b3-a867-f61a711b1...
by epicprogrammer | 2026-03-05 03:10:57+00:00
It's easy to frame this purely as an ethical battle, but there's a massive financial reality here. Training frontier models requires astronomical amounts of capital, and the DOD is one of the few entities with deep enough pockets to fund the next generation of compute. Anthropic turning down this Pentagon contract over safety disagreements is a huge gamble. They are essentially betting that the enterprise market will reward their 'Constitutional AI' approach enough to offset the billions OpenAI will now make from government defense contracts. OpenAI wants the DOD money while maintaining a consumer-friendly PR sheen; Amodei is just pointing out that they can't have it both ways.
by tombert | 2026-03-05 03:11:01+00:00
I'm cautiously optimistic that it could work.

It's been quite awhile since I've written ActionScript [1], but I remember when I wrote it I didn't write it significantly differently than C#. You still have similar Java-style OOP semantics with types that I think wouldn't be too hard to map into C#, especially if you're willing to be dirty and use reflection.

[1] Gah, has it really been almost fourteen years? Time is stupid.
by aardvarkr | 2026-03-05 03:11:13+00:00
Capture the student market 100%. I’d buy one for my kids tomorrow. These machines are made with an iPhone chip so they’re going to be great at browsing the web and studying. I wouldn’t buy one for myself To do actual work on but for light users it’s the perfect device. Start them early and get them hooked in the ecosystem so they’re grow up and keep buying iPhones, Apple Watches, AirPods, and iPads.
by hedora | 2026-03-05 03:12:21+00:00
No; "Build Quality" is the right term.

Manufacturing tolerance is the term for "how close are they all to being the same shape?" Good tolerances are usually a prerequisite to good build quality, but not always.

For instance, cast iron pans can have poor tolerances (be off by fractions of inches), but, as long as they're not warped, and the metallurgy is solid, they could last centuries, and people would say they have good build quality.

On the other hand, a stainless steel pan that's volumetrically-perfect, but has faulty internal welds on the laminated bottom could fall apart after a few uses due to heat strain snapping the welds. That'd be terrible build quality.
by Groxx | 2026-03-05 03:12:27+00:00
Also consistency. I personally hate entries appearing and disappearing (e.g. "copy clean link"), I would much rather have a stable UI with disabled elements if something is sometimes relevant to invisible context (like href attributes).

Otherwise you get "where is X? It was here yesterday!" issues, and those are practically impossible to figure out if you don't already know why it behaves that way. At least a disabled entry tells you "this exists, it just isn't applicable" rather than "lol what? maybe we removed it".
by nmfisher | 2026-03-05 03:12:32+00:00
> If they're doing it against the terms of service (and publicly so), I can't pin that one on Anthropic.

Anthropic claim that superintelligence is coming, that unaligned AI is an existential threat to humanity, and they are the only ones responsible enough to control it.

If that's your world view, why would you be willing to accept someone's word that they'll only Do Good Things with it? And not just "someone", someone with access to the world's most powerful nuclear arsenal? A contract is meaningless if the world gets obliterated in nuclear war.
by alexjplant | 2026-03-05 03:13:00+00:00
They didn't convince anybody of anything. They poured an enormous amount of technical work [1] into making it compliant with the Single Unix Specification [2].

> The standard specifies programming interfaces for the C language, a command-line shell, and user commands.

What else would be necessary to call it such?

[1] https://www.quora.com/What-goes-into-making-an-OS-to-be-Unix...

[2] https://en.wikipedia.org/wiki/Single_UNIX_Specification#macO...
by AdieuToLogic | 2026-03-05 03:13:16+00:00
> Your answer is less useful and thought out than the Claude response.

"Less useful" is subjective and I shall not contend. "Less thought out" is laughable as I possess the ability to think and "Claude" does not.

> Claude actually answers the question in the context in which it's being asked.

The LLM-based service generated a statistically relevant document to the prompt given in which you, presumably a human, interpreted said document as being "actually answers the question". This is otherwise known as anthropomorphism[0].

0 - https://en.wikipedia.org/wiki/Anthropomorphism
by testing22321 | 2026-03-05 03:14:51+00:00
China have 28 nukes under construction right now, and have built more in the last 30 years than the rest of the world combined.

Even with all that experience and expertise, their questionable environmental policies and questionable worker rights, it still takes them SEVEN years to build a single nuke.

The claim that anyone else can do it faster with zero recent experience isn’t only laughable, it’s downright fraud.