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LLM from scratch, part 28 – training a base model from scratch on an RTX 3090

https://www.gilesthomas.com/2025/12/llm-from-scratch-28-training-a-base-model-from-scratch
89•gpjt•6d ago•10 comments

The Joy of Playing Grandia, on Sega Saturn

https://www.segasaturnshiro.com/2025/11/27/the-joy-of-playing-grandia-on-sega-saturn/
58•tosh•2h ago•14 comments

Show HN: AlgoDrill – Interactive drills to stop forgetting LeetCode patterns

https://algodrill.io
19•henwfan•1h ago•3 comments

No ARIA is better than bad ARIA

https://www.w3.org/WAI/ARIA/apg/practices/read-me-first/
73•robin_reala•6d ago•35 comments

A deep dive into QEMU: The Tiny Code Generator (TCG), part 1

https://airbus-seclab.github.io/qemu_blog/tcg_p1.html
14•costco•6d ago•0 comments

Epsilon: A WASM virtual machine written in Go

https://github.com/ziggy42/epsilon
60•ziggy42•1w ago•16 comments

Icons in Menus Everywhere – Send Help

https://blog.jim-nielsen.com/2025/icons-in-menus/
591•ArmageddonIt•16h ago•246 comments

The universal weight subspace hypothesis

https://arxiv.org/abs/2512.05117
297•lukeplato•11h ago•104 comments

Kroger acknowledges that its bet on robotics went too far

https://www.grocerydive.com/news/kroger-ocado-close-automated-fulfillment-centers-robotics-grocer...
185•JumpCrisscross•12h ago•165 comments

Brent's Encapsulated C Programming Rules (2020)

https://retroscience.net/brents-c-programming-rules.html
3•p2detar•54m ago•1 comments

Manual: Spaces

https://type.today/en/journal/spaces
70•doener•12h ago•7 comments

Jepsen: NATS 2.12.1

https://jepsen.io/analyses/nats-2.12.1
376•aphyr•17h ago•138 comments

ZX Spectrum Next on the Internet: Xberry Pi ESP01 and Pi Zero Upgrades

https://retrogamecoders.com/zx-spectrum-next-on-the-internet-xberry-pi-esp01-and-pi-zero-upgrades/
3•ibobev•1h ago•0 comments

Strong earthquake hits northern Japan, tsunami warning issued

https://www3.nhk.or.jp/nhkworld/en/news/20251209_02/
324•lattis•21h ago•149 comments

Microsoft increases Office 365 and Microsoft 365 license prices

https://office365itpros.com/2025/12/08/microsoft-365-pricing-increase/
399•taubek•22h ago•465 comments

AMD GPU Debugger

https://thegeeko.me/blog/amd-gpu-debugging/
256•ibobev•20h ago•46 comments

Has the cost of building software dropped 90%?

https://martinalderson.com/posts/has-the-cost-of-software-just-dropped-90-percent/
304•martinald•17h ago•443 comments

Launch HN: Nia (YC S25) – Give better context to coding agents

https://www.trynia.ai/
118•jellyotsiro•19h ago•75 comments

Horses: AI progress is steady. Human equivalence is sudden

https://andyljones.com/posts/horses.html
438•pbui•11h ago•344 comments

Let's put Tailscale on a jailbroken Kindle

https://tailscale.com/blog/tailscale-jailbroken-kindle
292•Quizzical4230•19h ago•69 comments

A thousand-year-long composition turns 25 (2024)

https://longplayer.org/news/2024/12/31/a-thousand-year-long-composition-turns-25/
26•1659447091•5h ago•5 comments

Trials avoid high risk patients and underestimate drug harms

https://www.nber.org/papers/w34534
132•bikenaga•17h ago•40 comments

IBM to acquire Confluent

https://www.confluent.io/blog/ibm-to-acquire-confluent/
407•abd12•22h ago•325 comments

Paramount launches hostile bid for Warner Bros

https://www.cnbc.com/2025/12/08/paramount-skydance-hostile-bid-wbd-netflix.html
332•gniting•21h ago•344 comments

The Lost Machine Automats and Self-Service Cafeterias of NYC (2023)

https://www.untappedcities.com/automats-cafeterias-nyc/
79•walterbell•11h ago•24 comments

Hunting for North Korean Fiber Optic Cables

https://nkinternet.com/2025/12/08/hunting-for-north-korean-fiber-optic-cables/
260•Bezod•19h ago•95 comments

Periodic Spaces

https://ianthehenry.com/posts/periodic-spaces/
26•surprisetalk•5d ago•8 comments

Cassette tapes are making a comeback?

https://theconversation.com/cassette-tapes-are-making-a-comeback-yes-really-268108
106•devonnull•5d ago•176 comments

AI should only run as fast as we can catch up

https://higashi.blog/2025/12/07/ai-verification/
175•yuedongze•18h ago•152 comments

Show HN: Fanfa – Interactive and animated Mermaid diagrams

https://fanfa.dev/
119•bairess•4d ago•26 comments
Open in hackernews

Fixrleak: Fixing Java Resource Leaks with GenAI

https://www.uber.com/blog/fixrleak-fixing-java-resource-leaks-with-genai/
17•carimura•6mo ago

Comments

stevoski•6mo ago
> “Resource leaks, where resources like files, database connections, or streams aren’t properly released after use, are a persistent issue in Java applications”

This was true maybe back in 2005. Java has had try-with-resources for a loooong time. As I see it this has been the dominant idiom for ages, for handling resources that might leak.

okr•6mo ago
People tend to forget. Stream-API is a good candidate, that people like to not consider for leakage. If you don't own your stream, if you do not definitly know, that your stream comes from a collection, then ya better close it with a try-block.
bob778•6mo ago
How much effort was spent automating this to fix 112 instances across Uber’s code base? I assume code reviews would catch any new issues so this seems like overkill for a small one-off task?
hawk_•6mo ago
Spotbugs or checkstyle etc... would catch these. What does AI add here?
xyst•6mo ago
It gives marketing team at Uber to say "wE uSe AI hErE!!1". C-levels approve since anything AI gets a nice pump.

Engineering wise. This adds nothing. It’s an absolute waste of compute and energy to run this through LLMs

sigotirandolas•6mo ago
> This analysis ensures that FixrLeak skips functions where resources are passed as parameters, returned, or stored in fields, as these resources often outlive the function’s scope.

> FixrLeak delivers precise, reliable fixes while leaving more complex cases for advanced analysis at the caller level.

In other words, this will only fix trivial leaks, which are best seen as a language design issue and can be fixed by RAII, reference counting, etc.

It won't fix the more insidious leaks like `UNBOUNDED_QUEUE.add(item)` that are more likely to pass through code review in the first place.

xyst•6mo ago
Using AI when a static scanner like SonarQube easily picks up these types of resource leaks, especially in Java.

Peak waste.

What’s next?

"Get rid of your GitHub dependabot alerts and replace it with my shitty ChatGPT wrapper”

rvz•6mo ago
> Using AI when a static scanner like SonarQube easily picks up these types of resource leaks, especially in Java.

Exactly.

It's very disappointing to see that Uber engineers would rather trust an LLM to that claims to spot these issues when a battle-tested scanner such as SonarQube would have caught this in the first place.

The LLM hype-train is almost just as bad as the JavaScript hype train in the 2010s where some of the worst technologies are used on everything.

rvz•6mo ago
Why exactly do you need LLMs for this when efficient alternatives like SonarQube or checkstyle already do this without the expensive waste LLMs create?

This adds little to no technical advantage over existing solutions what so ever for this particular use case.

yahoozoo•6mo ago
stupid af
Traubenfuchs•6mo ago
So you tell me those 200-600k software engineers that can easily solve leetcode hard are so incompetent they missed using try-with-resources at such scale, they needed to introduce new AI tooling to fix it?

Hey Uber, I am from the EU, I usually can‘t even solve leetcode medium but I will write you scalable, spotless Java for a third of the salary.

Our industry and its economics are a joke.

hello_moto•6mo ago
So you write bug-free scalable code 100% in any jobs you ever worked for?

I guess we don’t need QA and Dev/Staging environment

rad_gruchalski•6mo ago
Can the QA team? How does the dev/staging environment help writing less buggy code?
rad_gruchalski•6mo ago
But can you leetcode heh.
TYMorningCoffee•6mo ago
A lot of commenters point out that there already are many established static checkers that do this. That is not what Uber attempts here.

Uber is not proposing a static checker. They even use sonar qube in their architecture. They propose using an LLM to resolve the leak detected by sonar qube.