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Big data on the cheapest MacBook
- opentokix 7mo agoMind blown, if you need to handle "big" data on the move - the macbook neo is not the right choice. - Who would have guessed that outcome?
- g947o 7mo agoIt occurs to me that there is near zero overlap between people who use a Macbook Neo and people who run DuckDB locally. It would be a surprise if more than 0.1% of Macbook Neo users have even heard of DuckDB. Which means that this article is probably just riding the hype.
- hrmtst93837 7mo ago[flagged]
- NetMageSCW 7mo agoCan’t give up and admit that 8GB of RAM is enough, can you?
- g947o 7mo agoI think you completely missed the point. People buy Macbook Neo because they "just need a laptop" or are budget conscious. I imagine a student would get their hands wet with Postgre before looking at DuckDB or similar. It would be a surprise if they do heavy workloads with DuckDB. In which case it's definitely worth investing in a more powerful computer.
- jtbaker 7mo agoDoesn’t matter. The point is that DuckDB can operate well on a wide range of infrastructure and is well suited for operating in resource constrained environments.
- TutleCpt 7mo agoOh great, the term "big data" is back.
- michalc 7mo agoSo my definition of big data was data so big it cannot be processed on a single machine in a reasonable amount of time. I guess they’re using a different definition?
- deleted 7mo ago[deleted]
- bcye 7mo agoI think they are simply referring to analytical workloads.
- rattray 7mo ago> For our first experiment, we used ClickBench, an analytical database benchmark. ClickBench has 43 queries that focus on aggregation and filtering operations. The operations run on a single wide table with 100M rows, which uses about 14 GB when serialized to Parquet and 75 GB when stored in CSV format. very much so…
- jawns 7mo agoI think it's partly tongue in cheek, because when "big data" was over hyped, everyone claimed they were working with big data, or tried to sell expensive solutions for working with big data, and some reasonable minds spoke up and pointed out that a standard laptop could process more "big data" than people thought.
- deleted 7mo ago[deleted]
- rrr_oh_man 7mo agoIn my former life as a soulless consultant mid-level IT managers really liked to hear the 3 "V"s mentioned: Velocity, Volume, Variety
- sriramgonella 7mo ago[flagged]
- hermanzegerman 7mo agoThat's an awesome idea to get a bricked MacBook Neo really fast because those idiots soldered the SSD inside
- k4rnaj1k 7mo ago[dead]
- windowsrookie 7mo agoApple has been soldering the SSD into MacBooks for over 10 years now, and most 10 year old MacBooks still have a working SSD.
- hermanzegerman 7mo agoNot if you're powerusing it like in the Article and relying heavily on Swap. Also there are countless reports of bricked M1 8GB MacBook Airs that are bricked because the SSD used up it's write cycles https://youtu.be/0qbrLiGY4Cg?si=mjKn2oLjqAb36hPU https://youtu.be/0qbrLiGY4Cg?si=mjKn2oLjqAb36hPU
- havaloc 7mo agoThat's not what the video insinuates.
- hermanzegerman 7mo agoYes you're right. I meaned a different video, but I can't find it right now. I've looked it up, and back then MacOS had a bug which exacerbated that issue. Here is an article https://www.macrumors.com/2021/02/23/m1-mac-users-report-excessive-ssd-wear/ https://www.macrumors.com/2021/02/23/m1-mac-users-report-exc...
- windowsrookie 7mo agoYou originally stated "Also there are countless reports of bricked M1 8GB MacBook Airs that are bricked because the SSD used up it's write cycles" Do you have a source for these "countless bricked SSD's"?
- shablulman 7mo ago[flagged]
- Jeffrin-dev 7mo ago[flagged]
- post-it 7mo agoDid you use AI to write a one-paragraph comment?
- Schiendelman 7mo agoIt's probably worse than that - he probably used AI to look for things to comment on and automatically create comments. He's not even here.
- 4ggr0 7mo agoit really is the stereotypical form of "it's not just this, it's actually that", and even an em-dash!
- SteveNuts 7mo ago> MacBook Neo's NVMe being slower than the Air/Pro isn't just a benchmark footnote — it compounds with file count in a non-linear way. The “isn’t just” part is a dead giveaway almost always.
- _joel 7mo agoAccount was created 3 days ago, probably one of those bloody clawdbots.
- BoredPositron 7mo agoQueue the endless blog posts about running tech on the potato macbook and being stunned it’s functional with massive trade-offs. Groundbreaking stuff.
- Schiendelman 7mo agoThat usage is "Cue", not "queue".
- LeifCarrotson 7mo agoCue the queue of blogs! Trigger the formation of a line of posts to be published sequentially.
- badc0ffee 7mo agoCue them in FIFO order.
- butILoveLife 7mo ago[flagged]
- tasuki 7mo agoThat's not Big Data. If you "need to process Big Data on the move" - what you need is a network.
- butILoveLife 7mo ago[flagged]
- red-iron-pine 7mo agoaye. the laptop is gonna have some local code, maybe a lot, but if I'm doing legitimate "big data" that data is living i the cloud somewhere, and the laptop is just my interface.
- montroser 7mo agoThis is as much an indictment of AWS compute as it is anything else.
- api 7mo agoYeah, this is really about how ludicrously overpriced big cloud is. I’ve got a first gen M1 Max and it destroys all but the largest cloud instances (that cost its entire current market value per month!), at least in compute. It’s a laptop! A decent bare metal server in a rack will destroy any laptop. It’s staggering. Jaw dropping. Bandwidth is even worse, like 10000X markup. Yet cloud is how we do things. There’s a generation or maybe two now of developers who know nothing but cloud SaaS. I watched everyone fall for it in real time.
- arh5451 7mo agoI agree and disagree, the benefit with cloud is you "don't need to manage it", it scales automatically, redundancy, and automatic backups etc. I do think you are right; in the future there will be more infrastructure as code as cost pressures become more obvious.
- api 7mo agoThose benefits are at least partly lies though. The tooling — K8S with all its YAML, Terraform, Docker, cloud CLI tools, etc. — is pretty hideously ugly and complicated. I watch people struggle to beat it into shape just like they did with sysadmin automation tools like Puppet and Chef a decade or more ago. We have not removed complexity, only moved it. The auto scaling thing is a half truth. It can do this if you deploy correctly but the zero downtime promise is only true maybe half the time. It also does this at greatly inflated cost. Today you can scale with bare metal. Nobody except huge companies physically racks anymore. Companies like Hetzner and DataPacket have APIs to bring boxes up. There’s a delay, but you solve that by a bit of over provisioning. Very very few companies have work loads that are so bursty and irregular that they need full limitless up and down scaling. That’s one of those niche problems everyone thinks they have. The uptime promise is false in my experience. Cloud goes down for cluster upgrades and any myriad other reasons just as often as self managed stuff. I’ve seen serious unplanned outages with cloud too. I don’t have hard numbers but I would definitely wager that if cloud is better for uptime at all it’s not enough of an improvement to justify that gigantic markup. For what cloud charges I should, as the deploying user, receive five nines without having to think about it ever. It does not deliver that, and it makes me think about it a lot with all the complexity. The only technical promise it makes good on, and it does do this well, is not losing data. They’ve clearly put more thought into that than any other aspect of the internal architecture. But there’s other ways to not lose data that don’t require you to pay a 10X markup on compute and a 10000X markup on transfer. I think the real selling point of cloud is blame. When cloud goes down, it’s not your fault. You can blame the cloud provider. IT people like it, and it’s usually not their money anyway. Companies like it. They’re paying through the nose for the ability to tell the customer that the outage is Amazon’s fault. Cloud took over during the ZIRP era anyway when money was infinite. If you have growth raise more. COGS doesn’t matter. Maybe cloud is ZIRPslop.
- ody4242 7mo agoI would have benchmarked with an instance that has local nvme, like c8gd.4xlarge.
- namibj 7mo agoDo they make any promises about persistence of local NVMe after something like a full-region power outage yet? Because if you can't do durable commit on a single-region cluster that will be just temporarily unavailable without loosing committed data if something like that happened, it's not quite there unless you still stream a WAL to storage that they do promise you will survive a full blackout of all zones that store (part of) the data.
- LunaSea 7mo agoYou already lose your data after instance restart so I think that full region outage is already out of question.
- ody4242 7mo agoIdk how an AWS region would respond to a power outage, but i have tested this in AWS Outpost, and there, if you power down a rack, then power it back again, the baremetal instances will not be recreated. (I was surprised as I was expecting the EC2 health check to terminate them, but it does not work like that.) My understanding is that if you stop/start an instance, your local storage is gone (as the instance might even end up in a different host), but if you just reboot the instance, it should keep the local storage.
- amluto 7mo agoYes. They promise to wipe your data. That SLA has all the nines you can ask for as long as you measure it in the right direction :)
- devnotes77 7mo ago[flagged]
- 7mo ago
- zipping1549 7mo ago> TL;DR: How does the latest entry-level MacBook perform on database workloads? We benchmarked it to find out. That's not tldr, that's just subheader.
- irenetusuq 7mo ago[dead]
- tosh 7mo agoFor the TPC-DS results it would also have been nice to show how the macbook neo compares to the AWS instances. Or am I missing something?
- szarnyasg 7mo agoIndeed, it would have been interesting but I really wanted to get the blog post out on the launch day of the MacBook Neo and did not have the bandwidth to run additional cloud experiments. I ran TPC-DS SF300 now on the c6a.4xlarge. It turns out that it's still quite limited by the EBS disk's IO: while 32 GB memory is much more than 8 GB, DuckDB needs to spill to disk a lot and this shows on the runtimes. Running all 99 queries took 37 minutes, so about half of the MacBook's 79 minutes. > Command being timed: "duckdb tpcds-sf300.db -f bench.sql" > Percent of CPU this job got: 250% > Elapsed (wall clock) time (h:mm:ss or m:ss): 37:00.96 > Maximum resident set size (kbytes): 25559652
- tosh 7mo agoty for the follow up!
- Robdel12 7mo agoI’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.
- raegis 7mo agoCan you say a little more about what you mean by "better"? How much faster is editing?
- swiftcoder 7mo agoBetter in terms of raw specs. The original M1 Air also came with 8GB of RAM, and the A18 Pro in the Neo is faster than the version of the M1 that shipped in the base model Air
- ramgine 7mo agoI just retired my m1 air to being a server this month. They’re very capable laptops. If the neo is even comparable in spec it’s excellent for the price
- mettamage 7mo agoI just bought a second hand M1 64GB as my main work laptop, haha. They definitely are capable laptops
- Robdel12 7mo agoYeah! My M1 air is now my iOS build server since GH actions bill macOS mins at 10x the price.
- bryanrasmussen 7mo agowhy does GH actions bill macOS minis 10X?
- ramgale 7mo agoSeems completely unnecessary, there is probably 0 overlap between people who buy a cheap MacBook and people running DuckDB locally
- ExxKA 7mo agoI love small form factors, and I am what youd call a professionel :P
- leoedin 7mo agoI think the form factor is basically the same (maybe slightly thicker) as a Macbook Air. It's basically an Air with lower performance in most dimensions.
- swiftcoder 7mo agoI've used MacBook Airs as primary dev machines multiple times in my career (before Apple silicon, when Airs had truly shit performance). There is always a trade-off of cost/convenience/power, and some folks are going to end up the the Neo end of the spectrum.
- NetMageSCW 7mo agoIt’s necessary because the ignorant keep saying 8GB of RAM is a deal breaking limitation on the cheapest MacBook available.
- dartharva 7mo agoYou'd be surprised. There are many of us analysts in the third world who are paid pennies and expected to build large-scale exec dashboards from nontrivial data - with no cloud support whatsoever. ETL has to be local from hundreds of GBs of csv dumps.
- MBCook 7mo agoI agree I don’t think it’s going to be something people really do. I just thought it was neat. It’s a phone chip, we’ve never been able to do stuff like this on an Apple phone chip before. No one was porting this to the iPhone to run there. In my mind this is purely a curiosity article, and I like that.
- clamlady 7mo agoas a broke ecologist, this little computer can do everything I need in R and word and is a phenomenal build for the price. I'm really enjoying it thus far.
- pbronez 7mo agoHow did you get one already? I thought they were just up for pre-order
- cluckindan 7mo agoShipping started yesterday, meaning preorders would already have arrived then
- clamlady 7mo agoyea, preordered.
- deleted 7mo ago[deleted]
- chronogram 7mo agoMine started shipping on 8 March to arrive on the 11 March release date.
- steve_adams_86 7mo agoI take it you're researching clams? Or you happen to like clams a lot? Where I live, our government-funded clam research programs are mostly shutting down. Very sad.
- TacticalCoder 7mo agoI'm interested by one (not for big data) but only 8 GB or RAM is kinda really sad. My good old LG Gram (from 2017? 2015? don't even remember) already had 24 GB of RAM. That was 10 years ago. A decade later I cannot see myself being a laptop with 1/3rd the mem.
- maratc 7mo agoDid your LG Gram cost $450 (to make for $600 in today's money) in 2015-17? If it didn't, Apple has other laptops today with more RAM.
- nicoritschel 7mo ago> compared to 3–5 GB/s Their numbers are a bit outdated. M5 Macbook pro SSDs are literally 5x this speed. It's wild.
- jsheard 7mo agoI'm seeing ~6GB/sec: https://www.tomshardware.com/laptops/macbooks/m5-macbook-pros-ssd-is-2-5x-faster-on-average-than-last-gen-m4-exceeding-apples-own-claims-m5-achieves-6-000-mb-s-across-both-read-and-write-speeds https://www.tomshardware.com/laptops/macbooks/m5-macbook-pro... That's decently fast but not especially remarkable, most Gen4 NVMe drives can hit 6-7GB/sec.
- lowkj 7mo agoTo be clear, that article is about the base m5, not the m5 pro or m5 max. https://www.apple.com/newsroom/2026/03/apple-introduces-macbook-pro-with-all-new-m5-pro-and-m5-max/ https://www.apple.com/newsroom/2026/03/apple-introduces-macb... "The new MacBook Pro delivers up to 2x faster read/write performance compared to the previous generation reaching speeds of up to 14.5GB/s..."
- jsheard 7mo agoOP did just say M5 (implying the base model) Those speeds on the Pro/Max are impressive though, more in line with Gen5 NVMe drives. Those have been available in desktops for some time but AFAIK the controllers are still much too hot and power hungry for laptops, so I think Apple's custom controller is actually the first to practically hit those speeds on mobile.
- hu3 7mo agoInteresting. Do you have a link?
- refactor_master 7mo agoI think it’s relevant to first read [1] to see why they’re doing this. It’s basically done as a meme. [1] https://motherduck.com/blog/big-data-is-dead/ https://motherduck.com/blog/big-data-is-dead/
- mazzma 7mo ago> An alternate definition of Big Data is “when the cost of keeping data around is less than the cost of figuring out what to throw away.” That couldn't be more accurate
- varispeed 7mo agoIf you can fit it on a thumb drive, it's not Big Data.
- butILoveLife 7mo ago[flagged]
- onlyrealcuzzo 7mo agoThis is awesome. I wish more companies would do showcases like this of what kind of load you can expect from commodity-ish hardware.
- butILoveLife 7mo ago[flagged]
- f6v 7mo agoI never met someone using Apple laptops professionally who thought it was a status symbol. I only keep hearing this from non-Apple users.
- butILoveLife 7mo agoIts because its frowned upon to say it out loud. Think of the people who buy fancy cars and pretend they bought it for other reasons than status.
- NetMageSCW 7mo agoI did buy my car for reasons other than status. That’s just a bonus.
- carlosjobim 7mo agoThink of those who buy modern motorcycles which have the same performance as a super car for a tiny price and an out of this world user experience.
- antonyh 7mo agoThe only status it brings is "smart enough to not use Windows 11" or "cares enough to get the work done rather than fighting with Linux on laptops". (I use Linux on desktop as a first choice, but it's always been an uphill struggle with laptop wifi/power manglement/audio for me. I blame the esoteric chipsets used in the machines I've bought in the UK)
- Aniakshay 7mo ago[flagged]
- __mharrison__ 7mo agoWhen I teach, I use "big data" for data that won't fit in a single machine. "Small data" fits on a single machine in memory and medium data on disk. Having said that duckDB is awesome. I recently ported a 20 year old Python app to modern Python. I made the backend swappable, polars or duckdb. Got a 40-80x speed improvement. Took 2 days.
- ladberg 7mo agoI'm curious - what were you doing that polars was leaving a 40-80x speedup on the table? I've been happy with it's speed when held correctly, but it's certainly easy to hold it incorrectly and kill your perf if you're not careful
- devnotes77 7mo ago[flagged]
- __mharrison__ 7mo agoApp is now lazy!
- deleted 7mo ago[deleted]
- dartharva 7mo agoMight be tangential but in my recent experience polars kept crashing the python server with OOM errors whenever I tried to stream data from and into large parquet files with some basic grouping and aggregation. Claude suggested to just use DuckDB instead and indeed, it made short work of it.
- __mharrison__ 7mo ago20 year old BI app. Columnar DBs weren't really a thing. (MonetDB was brand new but not super stable. I committed the SQLAlchemy interface to it.)
- aaronharnly 7mo agoThat c8g.metal-48xl instance costs $7.63008 on demand[1], so for the price of the laptop, you could run queries on it for about ~90 hours. :shrug: as to whether that makes the laptop or the giant instance the better place to do one's work… [1] https://aws.amazon.com/ec2/pricing/on-demand/ https://aws.amazon.com/ec2/pricing/on-demand/
- alex_creates 7mo agoFunny just yesterday I almost bought one but got cold feet and opted for a low range MacBook with M5 chip. The Apple sales rep was not convinced it would be enough when i described using it for vibecoding and deploying so kind of talked me out of getting the Neo. I normally use a mix of LLMs, then connect to Github and do a one-click deploy on CreateOS. Do you think I over-reacted? The price of the Neo is SO attractive, a clean half price compared to what I got.
- alpaca128 7mo agoImho 8GB RAM for productivity can quickly be restrictive. I used an M1 with 8GB and my current Macbook is M2 with 16GB, and to me the difference feels bigger than 2x. It seems not everyone here feels that way, but I'd say there's a reason Apple bumped the base models to 16 and makes that exclusive to non-Neo models.
- kingnothing 7mo agoWhy do you need an M5 to run Cursor and a browser? Your laptop isn't doing anything in your described workflow.
- NetMageSCW 7mo agoIf you have doubts and you have the money, why worry about it?
- MBCook 7mo agoI think you’ll be quite a bit happier. Between the quality of life stuff like the ancient life sensor, the pure quality stuff like a better screen and speakers, and extra RAM so it lasts longer that seems like a good decision. The Neo is neat and for someone who mostly does surfing and standard office work kind of stuff I suspect it’s a pretty great little laptop for way less than Apple usually charges. But it’s not going to compete with an M5 anything.
- 1a527dd5 7mo agoI adore DuckDB. Did a PoC on a AWS Lambda for data that was GZ'ed in a s3 bucket. It was able to replace about 400 C# LoC with about 10 lines. Amazing little bit of kit.
- Jgrubb 7mo agoIt really is one of the greatest open source gifts of recent years.
- evanjrowley 7mo ago>Can I expect good performance from the MacBook Neo with Slack, Microsoft Office, and Google Chrome signed into Atlassian and a CRM, all running simultaneously? No. >Do I reject a world where all of the above is necessary to realize value from an entry-level MacBook? In theory, yes.
- devnotes77 7mo ago[flagged]
- amluto 7mo agoOn a MacBook, one can download a data set, reboot, install updates, etc and still have the dataset. Those nice-ish AWS instances will wipe their local storage if they are stopped. Sure, one needs backups, but this is still annoying. Also, at on-demand prices, three months of continuous usage of a single c8gd.2xlarge will pay for that MacBook Neo. The MacBook Neo has a larger SSD than the AWS instances. To be fair, the MacBook Neo has seriously nerfed external IO bandwidth, so the c8gd.2xlarge will outperform it in networking. That being said, I think that any other Mac in the current lineup will utterly smoke c8gd.2xlarge if you are willing to use Thunderbolt-connected network adapters. Given how little power modern Macs use, a little closet full of Macs with a decent network switch will easily run on a single 20A circuit and will perform better than quite a few thousands of dollars per month of AWS products. Sadly, you’re kind of stuck on MacOS (which is not actually a fantastic server OS) and the management tools are poor. Oh, well.
- butILoveLife 7mo ago[flagged]
- eru 7mo agoPeople care about how long you can run in between charging. Low power consumption helps with that, even if you don't care about it directly.
- hermanzegerman 7mo agoWhere do I get a Laptop with a Nvidia GPU for 600$ ? I'm right now in the Market for a new Laptop, because I need way more GPU Power than my T470 provides, and to be honest the MacBookPros are quite competitively priced compared to the P-ThinkPads with Nvidia Cards. (Both around 3000€) They also finally offer a matte screen option The only thing holding me back right now is the soldered SSD, RAM (and shitty Linux support). It was quite nice being able to upgrade RAM, SSD and replace the Battery on it. Otherwise it wouldn't have lasted for 9 years
- nicbou 7mo agoYou get a long-lasting device that's usually pleasant to use. User experience is harder to measure than specs, but at least for me, Macbooks are consistently better laptops than everything else I've used.
- cosmic_cheese 7mo ago> And I have a hard time believing people who tell me stories about low power consumption, because no one had cared about that until Apple pretended people cared about it. That’s because battery life was pretty mediocre across the board, with Apple occasionally squeaking out a bit of an upper hand on the Air. Most laptops were in the same boat, aside from gaming and workstation laptops but battery life has never been the point of those. That changed dramatically with the M-series Macs. People didn’t start caring because Apple did, but because it meant no longer being tethered to a wall, being able to do a lot of outings without a brick or charger cable at all, and on extended trips being able to get by with a little phone charger instead of a the usual huge ungainly brick. One of the primary objectives of a laptop is portability, and long battery life is an objective upgrade in that category. Not everybody needs it but for those who do it’s difficult to give up once you’ve had it. EDIT: Another advantage of that higher efficiency is that MacBooks can run at full performance without being plugged in without it obliterating battery life. x86 laptops universally throttle when untethered and while this can be disabled, they burn through their batteries much more quickly.
- fnord77 7mo agothis has a phone CPU/memory
- pella 7mo agoother test: 2025-09-08 : "Big Data on the Move: DuckDB on the Framework Laptop 13" "TL;DR: We put DuckDB through its paces on a 12-core ultrabook with 128 GB RAM, running TPC-H queries up to SF10,000." https://duckdb.org/2025/09/08/duckdb-on-the-framework-laptop-13 https://duckdb.org/2025/09/08/duckdb-on-the-framework-laptop...
- scottlamb 7mo ago> The cloud instances have network-attached disks Props for identifying the issue immediately, but armed with that knowledge, why not redo the benchmark on a different instance type that has local storage? E.g. why not try a `c8id.2xlarge` or `c8id.4xlarge` (which bracket the `c6a.4xlarge`'s cost)?
- hirako2000 7mo agoWould it not also work on a raspberry. With I/O streaming and efficient transformation I do big data on my consumer PC and good old cheap HDDs just fine.
- MBCook 7mo agoI suspect the Neo’s A-series chip wipes the floor with a Pi. I’m really surprised just how competitive it was in their benchmark. I was expecting “sure it doesn’t compete but it works and you can use it”, not “it beat an Amazon instance, though not a really powerful one”.
- tonymet 7mo agoIO on a raspi is pathetic. As packaged it’s 100 times slower , with a M.2 hat it’s still 5x slower
- tonymet 7mo ago“Big data” doesn’t have a 5gb memory cap. I’m guessing so many devs started out on 32gb MacBooks that the NEO seems underpowered. but it wasn’t too long ago that 8gb, 1500mb/sec IO & so many cores was an elite machine. I did a lot of dev work on a glorified eePC Chromebook when my laptop was damaged. You don’t need a lot of ram to run a terminal. I’m hoping NEO resets the baseline testing environment so developers get back to shipping software that doesn’t monopolize resources. “Plays nice with others” should be part of the software developer’s creed.
- raphaelmolly8 7mo ago[dead]
- _glass 7mo agoSet up the machine yesterday. Everything runs just fine. Will use it mainly for academic writing, and light development work, only conceptual work, PoCs.
- haolez 7mo agoThis might be a buy for me once it is fully supported by Linux. Hopefully, the muscle memory of Ctrl, Super and Alt won't get in my way.
- kroaton 7mo agoIf SPTM is active on the chip, we are not going to be getting Linux at all.
- elAhmo 7mo agoHah, I wish people who are saying 'can you even do anything with 8GB in 2026' would read posts like this.
- hudtaylor 7mo ago[flagged]
- joe_mamba 7mo agoWhat does your AI agent do on it?
- jtbaker 7mo agoPost to HN apparently
- jatins 7mo agoYour comment is fully AI generated which is against HN guidelines https://www.pangram.com/history/6e9e9161-73d8-4860-88cf-2424a0532154?ucc=PQCmbwNZf1k https://www.pangram.com/history/6e9e9161-73d8-4860-88cf-2424... > Don't post generated comments or AI-edited comments. HN is for conversation between humans. https://news.ycombinator.com/newsguidelines.html https://news.ycombinator.com/newsguidelines.html
- ryan14975 7mo ago[flagged]
- yftsui 7mo agoI lost trust of DuckDB's test after https://duckdb.org/2024/12/06/duckdb-tpch-sf100-on-mobile#a-song-of-dry-ice-and-fire https://duckdb.org/2024/12/06/duckdb-tpch-sf100-on-mobile#a-..., they were comparing apples with bananas, well actually Swift app on iPhone vs CLI app in a terminal.
- SirSavary 7mo ago> CLI app in a terminal The terminal and CLI app within ran locally on a smartphone, which was the premise of the experiments within the linked post. They also weren't comparing a Swift app on an iPhone with their Android run, they were comparing both against "... the system in the research paper that originally introduced vectorized query processing[.]"
- elophanto_agent 7mo ago[dead]