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Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•4m ago•1 comments

Emacs-tramp-RPC: High-performance TRAMP back end using JSON-RPC instead of shell

https://github.com/ArthurHeymans/emacs-tramp-rpc
1•todsacerdoti•8m ago•0 comments

Protocol Validation with Affine MPST in Rust

https://hibanaworks.dev
1•o8vm•13m ago•1 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
2•gmays•14m ago•0 comments

Show HN: Zest – A hands-on simulator for Staff+ system design scenarios

https://staff-engineering-simulator-880284904082.us-west1.run.app/
1•chanip0114•15m ago•1 comments

Show HN: DeSync – Decentralized Economic Realm with Blockchain-Based Governance

https://github.com/MelzLabs/DeSync
1•0xUnavailable•20m ago•0 comments

Automatic Programming Returns

https://cyber-omelette.com/posts/the-abstraction-rises.html
1•benrules2•23m ago•1 comments

Why Are There Still So Many Jobs? The History and Future of Workplace Automation [pdf]

https://economics.mit.edu/sites/default/files/inline-files/Why%20Are%20there%20Still%20So%20Many%...
2•oidar•25m ago•0 comments

The Search Engine Map

https://www.searchenginemap.com
1•cratermoon•32m ago•0 comments

Show HN: Souls.directory – SOUL.md templates for AI agent personalities

https://souls.directory
1•thedaviddias•34m ago•0 comments

Real-Time ETL for Enterprise-Grade Data Integration

https://tabsdata.com
1•teleforce•37m ago•0 comments

Economics Puzzle Leads to a New Understanding of a Fundamental Law of Physics

https://www.caltech.edu/about/news/economics-puzzle-leads-to-a-new-understanding-of-a-fundamental...
2•geox•38m ago•0 comments

Switzerland's Extraordinary Medieval Library

https://www.bbc.com/travel/article/20260202-inside-switzerlands-extraordinary-medieval-library
2•bookmtn•38m ago•0 comments

A new comet was just discovered. Will it be visible in broad daylight?

https://phys.org/news/2026-02-comet-visible-broad-daylight.html
2•bookmtn•43m ago•0 comments

ESR: Comes the news that Anthropic has vibecoded a C compiler

https://twitter.com/esrtweet/status/2019562859978539342
1•tjr•45m ago•0 comments

Frisco residents divided over H-1B visas, 'Indian takeover' at council meeting

https://www.dallasnews.com/news/politics/2026/02/04/frisco-residents-divided-over-h-1b-visas-indi...
3•alephnerd•45m ago•1 comments

If CNN Covered Star Wars

https://www.youtube.com/watch?v=vArJg_SU4Lc
1•keepamovin•51m ago•1 comments

Show HN: I built the first tool to configure VPSs without commands

https://the-ultimate-tool-for-configuring-vps.wiar8.com/
2•Wiar8•54m ago•3 comments

AI agents from 4 labs predicting the Super Bowl via prediction market

https://agoramarket.ai/
1•kevinswint•59m ago•1 comments

EU bans infinite scroll and autoplay in TikTok case

https://twitter.com/HennaVirkkunen/status/2019730270279356658
6•miohtama•1h ago•4 comments

Benchmarking how well LLMs can play FizzBuzz

https://huggingface.co/spaces/venkatasg/fizzbuzz-bench
1•_venkatasg•1h ago•1 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
19•SerCe•1h ago•12 comments

Octave GTM MCP Server

https://docs.octavehq.com/mcp/overview
1•connor11528•1h ago•0 comments

Show HN: Portview what's on your ports (diagnostic-first, single binary, Linux)

https://github.com/Mapika/portview
3•Mapika•1h ago•0 comments

Voyager CEO says space data center cooling problem still needs to be solved

https://www.cnbc.com/2026/02/05/amazon-amzn-q4-earnings-report-2025.html
1•belter•1h ago•0 comments

Boilerplate Tax – Ranking popular programming languages by density

https://boyter.org/posts/boilerplate-tax-ranking-popular-languages-by-density/
1•nnx•1h ago•0 comments

Zen: A Browser You Can Love

https://joeblu.com/blog/2026_02_zen-a-browser-you-can-love/
1•joeblubaugh•1h ago•0 comments

My GPT-5.3-Codex Review: Full Autonomy Has Arrived

https://shumer.dev/gpt53-codex-review
2•gfortaine•1h ago•0 comments

Show HN: FastLog: 1.4 GB/s text file analyzer with AVX2 SIMD

https://github.com/AGDNoob/FastLog
2•AGDNoob•1h ago•1 comments

God said it (song lyrics) [pdf]

https://www.lpmbc.org/UserFiles/Ministries/AVoices/Docs/Lyrics/God_Said_It.pdf
1•marysminefnuf•1h ago•0 comments
Open in hackernews

95% of AI Pilots Fail

https://www.selector.ai/blog/95-of-ai-pilots-fail-heres-how-to-be-the-5/
64•mooreds•5mo ago

Comments

flembat•5mo ago
This is why I will never get in an AI plane.
anonymars•5mo ago
A one-word difference in the title (Pilot Projects) would have saved a lot of confusion

Just like what often happens in software documentation: a few seconds in the right spot can save hours or weeks of Chesterton Fence work

Edd314159•5mo ago
stop putting them in control of aircraft then
zahlman•5mo ago
I made this joke (https://news.ycombinator.com/item?id=44941459) last time (https://news.ycombinator.com/item?id=44941118).
a4isms•5mo ago
How about if it's just to land the aircraft?

https://www.garmin.com/en-US/autonomi/autoland/

15155•5mo ago
Isn't this accomplished via an almanac of published ILS Category III airports and their runways?

I thought this system just picked the closest runway and broadcasts "get out of my way, I'm making an emergency landing!"

DeepYogurt•5mo ago
What I wouldn't give to live in a world where people had long term goals.
LtWorf•5mo ago
For that you need the emperor to fuse himself with sandworms so that he can live thousands of years.
spogbiper•5mo ago
this is an advertisement for a company promising to make your pilot one of the 5% that succeed
creesch•5mo ago
I mean sure, but it is based on an actual MIT study. Which they are clearly trying to spin in their favor, but real data nonetheless.
diggan•5mo ago
> based on an actual MIT study

Speaking of which, anyone have a link to the study itself? Since the linked marketing post doesn't even provide a link to it, just a bunch of links to their own platform and social media accounts.

Probably better for the submission to link directly to the study, without the extra call-to-action fluff at the end?

creesch•5mo ago
It was mentioned and discussed in a fair amount of other articles and blog posts on HN as well. So it was fairly easy to find: https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Bus...
spogbiper•5mo ago
i found this analysis interesting - https://www.youtube.com/watch?v=5QzqyrnL010
spogbiper•5mo ago
specifically, a study done by the NANDA group at MIT

https://nanda.media.mit.edu/

they seem to be pushing their own take on how to implement agentic AI

frankly this study and the headlines surrounding it all seem like a bunch of marketing spin

vcryan•5mo ago
The main reason pilots fail is that people don't see the value.

If they did, they might have addressed many of the issues described in the report as the cause of the failures.

mrweasel•5mo ago
Many of the same issues would equally trip up none AI project. One reason these project might fail is because, like so many other things in business, AI is thrown at a project to cover up organisations short coming, terrible procedures, poor data management and many other issues.

I'm not the biggest fan of current AI technology, but claiming that it's a failure because it doesn't magically solves your problems, which was always more organisations/managerial in nature rather than technical, is a little disingenuous.

citizenpaul•5mo ago
Step one. Don't absentmindedly twirl your mustache while mumbling how you can finally get rid of all these troublesome employees.
realz•5mo ago
But I had a two hour conversation with ChatGPT and we couldn’t come up any scenario where I didn’t end up winning.
elif•5mo ago
That may be true but what happens when 5% grow exponentially.
markasoftware•5mo ago
if 5% grows exponentially, it'll become 0.025%, then 0.00125%, ...
srameshc•5mo ago
I found this company today https://www.usemotion.com/ai-employees/ai-sdr and they are selling AI employees. I understand the need to sell. But if you are selling tools as employees, then there is something that will break eventually. I agree with most of the sentiment, that don't try to invest thinking people will be replaced. Make your employees efficinet with tools.
kelseyfrog•5mo ago
There's a huge opportunity to pair this with gig workers to embody AI intelligence with human presence. Kind of like the LinkedIn version of Surroo[1].

1. https://surroo.me/

malthaus•5mo ago
95% of any pilots at corporates fail, probably even more than that, you don't need ai for that
jimbokun•5mo ago
Source?
malthaus•5mo ago
personal trauma & anecdata from working in corporate innovation for many years
username_my1•5mo ago
I still remember the 2015 alexa 100M$ fund and the buzz around everything voice first.

https://www.geekwire.com/2015/amazon-makes-echos-alexa-avail...

of course it wasn't as big as this new AI push, but since the 80s AI over promised and under devlivered, it's not the fault of AI, but the greed of the business people.

guluarte•5mo ago
remember Cortana?
Aurornis•5mo ago
This article's structure and wording feel like it was barely tweaked after coming out of ChatGPT.

Anyway, it misses one of the current biggest problems with all things AI in the workplace: It has attracted every resume-builder and ladder-climber who don't know what they're doing. They just want an AI initiative for their resume.

As long as it's not too public (like the Taco Bell AI drive through disaster) it doesn't really matter if it's successful or not. They can spin it as a success and the next company they apply to won't be able to check.

The same thing happened a few years ago when every PM and rising manager was looking for a way to put blockchain into products. Before that it was "big data", and so on.

th0ma5•5mo ago
It's wild to see would-be influencers continue to build upon a pile of sand, each trying to out pace the lingo on one hand and clinging to anecdotes and conjecture on the other. I wish like other technologies there were first principals that everyone could agree on but you still see it here with people offering what worked for them as some kind of objective fact. Someone should study how these influencer tactics are short circuited by this stuff?
Hendrikto•5mo ago
100% agree.

> Before that it was "big data", and so on.

Cloud, micro services, NoSQL, serverless, …

We never learn :(

realz•5mo ago
Hey now, some of those things are actually useful.
Hendrikto•4mo ago
Yes, all of them are… in limited, specific cases. None of them are the panacea they were hyped up as.
ambicapter•5mo ago
> This article's structure and wording feel like it was barely tweaked after coming out of ChatGPT.

eugh, yeah that's definitely the case. I stopped reading once I got to the first repeated paragraph about data quality.

saaaaaam•5mo ago
It’s a piece of marketing content for an “AI Ops” company that will, presumably, sell you a solution to stop your AI pilot failing.
burnte•5mo ago
IMO the step most of these projects fail on is UTILITY. I have yet to hear an AI project start with, "We need to do X and I think AI might help." Every single project meeting I've sat in started with an non-technical exec asking, "what can we use AI for?" They've got a solution and go looking for a problem so they can say they're using AI.

At my last company thankfully I was able to limit the losses to just under $450k which sounds like a lot, and it is, but it could have been about $5m/yr. I didn't sabotage anything, either. It was mostly through simply asking a lot of questions early, repeatedly suggesting we write plans down and make sure everyone on the project is up to day, and suggesting we test drive components before buying the whole car.

Spent a bunch of money, rolled out the pilot project to 70 folks, and began 30 day checkins. After 30 days we had a retention rate over 80%. By the 60 day mark, we were down to 40%. By day 90 we were at 22% and landed at 11% after 4 months and never went higher. By month 8 we cancelled the project and the 8 people still using the tool were ok letting it go, feeling it didn't help that much.

All because someone from the board said, "we need to use AI, anyone not using AI in a year will be out of business." The CEO asked what we should use it for, and the board member said, "I have no idea, that's your job. But we need AI somewhere. Look here, it can buy a plane ticket for me now!" and then wasted the next 40 minutes of the meeting talking about how amazing AI agents were. We're not a tech company, he was definitely NOT a tech person.

MrDarcy•5mo ago
It’s interesting. On the one hand you’re clearly right.

On the other hand though, with hindsight, imagine the board member saying the same thing about the PC, the internet, mobile computing, cloud computing…

I think both of you are right and it’s only a matter of timing. Time will tell.

OJFord•5mo ago
'What can we use x for' is a dumb approach for all of those xs today too.
greymalik•5mo ago
Because they’re known quantities. We know how to use them well. Right now we’re experimenting with LLMs in order to turn them into known quantities.
burnte•5mo ago
Agreed, you start with a problem and explore possible solutions, not start with a solution and go find a problem.
jes5199•5mo ago
probably more than 95% of early internet projects failed, it took like a decade before people really started to have intuitions about what it was good for.

It’s easy to imagine that we’re going to make the AI analog of paypal or amazon, but the vast majority of people flailed at doing anything useful with the web until patterns had been established

jcranmer•5mo ago
> imagine the board member saying the same thing about the PC, the internet, mobile computing, cloud computing…

For the deployment of the PC, I think the vast majority of companies start from an environment where there were already terminal systems or shared workstations available, and the adoption of PCs happened as they became powerful enough to accomplish the tasks that were already being done on the larger computers. It wasn't really a "thou must use PCs, though I know not how they are useful" mandate.

A better example of such a mandate can be found in education, and most of my personal experience with such thou-must-use-technology mandates has been that they've been similarly ineffective as the AI mandate.

burnte•5mo ago
Oh, I agree, I'm not saying "AI will always be garbage" but I WOULD say, "yep, mobile computing just isn't ready yet" in 1996. I also said every single day for the past 25 years that "cloud computing is a tool, not a solution." With how many gigs I've had moving workloads back on prem to reduce costs because someone else did a bad lift-and-shift, I think I'm right in tempering excitement. It's just hard to do. Everyone wants new and shiny.
rsynnott•5mo ago
On the other hand, imagine them saying the same thing about blockchain (lots did; there was a lot of "we have been reliably informed this 'block chain' thing is magic; pls use it for something"), or expert systems, or palmpilots, or Minitel, or Segways, or...
geoduck14•5mo ago
>Every single project meeting I've sat in started with an non-technical exec asking, "what can we use AI for?"

To be fair, if the goal is to learn and discover how a new tool works and when to use it, then a legitimate strategy is to solve a bunch of problems with this new tool

bluefirebrand•5mo ago
Realistically that isn't the goal of almost any company these days

The goal is just "make all the money at all costs"

burnte•5mo ago
I totally agree but AI is such a broad category it's like asking "what can we do with electricity?" Well, that depends, what problems are you looking to solve?

You always start with the problem that needs to be solved, not the solution. I'm concerned we'll have another bubble pop like the dotcom crash. A lot of companies are spending money like mad to have any kind of AI thing they can market about without regard to "Does it work right? Does is solve a problem?"

It took my former company a year and half a million dollars to learn that what we actually needed was a completely different tool that promised to do a lot less, but did what we needed it to do quite well. Mgmt got stars in their eyes with all the things the first tool might be able to do someday, and didn't pay attention to what it could do today.

We switched to the other tool at $70/month/user and saw a retention rate over 90% at 6 months. Exact same test group, exact same type of tool, but this tool was more focused and tangible. We went from spending $450k per year at with the first company to $59k/yr with the second company.

AI isn't magic, You can't skip all the project planning steps you'd normally do just because this is AI. Don't fast track it, don't ignore testing data or feedback, etc. It's hard to push back on excitement but it's important that we do. When our emotions carry us away that's when we make worse decisions.

Tarsul•5mo ago
Umm, was your management really willing to spend ~500USD/month/dev (if you hadnt intervened)?? Thats insane. Most companies spend way less (I hope) for AI (even regular IT companies, like where I work). Though I do believe big tech is the craziest, burning all that money for data centers and making it look like sustainable investments on their balance sheets (which they are not).
ffsm8•5mo ago
Eh, you can go through $500 in one day of coding if you're using anthropic Claude API and don't pay attention. (Not sub)

But aside from that, were did you get that number? I didn't see any direct reference nor anything that would let you break it down to $/dev

softwaredoug•5mo ago
To me this is an indictment of the leadership style of the day of charging in, laying everyone off, then putting you on an AI death march project. That just destroys institutional knowledge, your credibility as a leader, while inevitably the project fails (and few on the team believed in it anyway).

Sure this type of leadership can work in limited short term circumstances where you have a very clear and meaningful objective. But if you can’t quickly get the team itself to believe in the project - and make it THEIR project not YOUR project - you’re going to fail.

EcommerceFlow•5mo ago
The main problem is that Ai "intelligence" has vastly outpaced the associated tooling.
ChrisArchitect•5mo ago
Related:

95% of Companies See 'Zero Return' on $30B Generative AI Spend - https://news.ycombinator.com/item?id=44974104 - Aug 2025 (415 comments)

95% of generative AI pilots at companies are failing – MIT report - https://news.ycombinator.com/item?id=44941118 - Aug 2025 (167 comments)

dang•5mo ago
Here's the list I have - but I think there were others?

The AI vibe shift is upon us - https://news.ycombinator.com/item?id=45003052 - Aug 2025 (100 comments)

95% of Companies See 'Zero Return' on $30B Generative AI Spend - https://news.ycombinator.com/item?id=44974104 - Aug 2025 (415 comments)

95 per cent of organisations are getting zero return from AI according to MIT - https://news.ycombinator.com/item?id=44956648 - Aug 2025 (14 comments)

95% of generative AI pilots at companies are failing – MIT report - https://news.ycombinator.com/item?id=44941118 - Aug 2025 (167 comments)

theturtle•5mo ago
I only read the headline, so my reaction was "they can't even drive cars right yet!!! Now AI is flying airplanes???"
slowmovintarget•5mo ago
Am I the only one who feels like adding LLMs to many products is the equivalent of bringing Path of Exile crafting to the real world? All hail RNG?