I disagree with the idea that file is a good metaphor for LLM. Files have seek and byte streams, which is just an unneeded abstraction for LLM. The LLM doesn't need to seek or jump to the middle of a file, if you store and organize your data properly.
Why force the LLM to use files over vector database or key-value stores, just because it's a design principal for UNIX (which is designed for human users, not LLMs.)
If your objective is just to hack something together quickly to test an idea, and doesn't care if the application segfault 6 hours later (eg. a prototype game engine), C++ is definitely the superior choice to Rust.
Rust is like the instructor demanding that you build your house up to the national code, down to the choice of nail for your floor board. Your house will be perfect, but building it is extremely difficult and high-friction. In many cases this is unnecessary.
Linus always backs up his insults with technical reasonings on why the other side is wrong though. You might not agree with his reasons, but at least he provided them.
>Posting it in this sprawling, mean form was dumb.
Thank you for putting my thoughts in words I can never string together so well.
I too would just stash the letter in my ZFS dropbox and never let it see the light of day again.
The letter reads like a husband who was just served a divorce notice from his wife. The man is angry, and wants everyone to know that he is not angry, and he is very much not bothered by the whole affair even though he has misgivings since the first day of marriage.
The letter would be much more convincing if it has any technical rebuttal against the decision.
The 711s in Japan let you print color postcards from memory card for ~$1 USD . I would take photos with my camera, go to the copier machine in a 711 (they are everywhere), print the postcards, and sometimes buy the stamps from the cashier. Some stores don't have postcard specific stamps. Just ask for stamps in equivalent value 100 yen.
Given a powerful enough AI with enough outlays (eg. a Playwright instant), can an AI cheat by influencing the real world and self-fulfil its prediction?
Eg. Is corp ABC's stock price going to go down by 10% in 30 days?
Orchestrate a disinformation campaign on the 29th day to tank ABC's stock price.
I am using LLM to build some security tool, and I ran into this a few times. I have to come up with a reasoning to convince (?!!) Fable to continue the work without downgrading.
I assume Anthropic will continue to tune the model, so I am not too bothered by this.
I ran 5 external USB + SMR hard disks in RAIDZ 5 for 10 years. The only thing I had to change was to use Highpoint's enterprise level USB controllers- commercial USB controllers from Realtek and Renasus are junk and will drop the drives after a while.
Even then, I had multiple cases where files were corrupted, and once the whole array refused to be online due to corrupted metadata. I had to make ZFS to replay the journal log with undocumented commands. Sometimes it takes a few days of hair-rising recovery but I always manage to get the array back intact.
The files that are corrupted are always extremely large files (>50 GB) with many small read/writes (eg. iSCSI image files.)
It's pretty impressive how resilient ZFS is, really, given I had what likely to be the worst possible hardware combination.
2 companies have functionally similar products, but behaves completely different. One company makes technical decisions with security as the fundamental principal, while for the other company, security is not a consideration.
Having it running on host (!), and the metadata for all guest VMs stored and managed by the same memory/service (!!), with no clear security boundary (!!!).
It's like storing all your nuke launch codes in the same vault, right in the middle of Washington DC national mall. Things are okay, until they are not okay.
As someone who had worked adjacent to the functionally-same components (and much more) at your biggest competitor, you have my sympathy.
Running 167 agents in the accelerator? My gawd that would never fly at my previous company. I'd get dragged out in front of a bunch of senior principals/distinguished and drawn and quartered.
And 300k manual interventions per year? If that happened on the monitoring side , many people (including me) would have gotten fired. Our deployment process might be hack-ish, but none of it involved a dedicated 'digital escort' team.
I too have gotten laid off recently from said company after similar situation. Just take a breath, relax, and realize that there's life outside. Go learn some new LLM/AI stuff. The stuff from the last few months are incredible.
We are all going to lose our jobs to LLM soon anyway.
- Local LLM, with a powerful debugger as its oracle, is now powerful enough to run rudimentary malware analysis without consulting with external sources.
- More complex malwares are still beyond what local LLMs can handle. The local LLM can see all the behaviors by the malware, but the LLM fails to put the analysis together to deduce the true intention of a binary.
- Local LLM is a very lost-cost way to do malware analysis (about 5 US cents of electricity.)
- The biggest killer-app feature is having the LLM writes its analysis back to Ghidra. The more you interact with the LLM, the more data it will write back to Ghidra. This could potentially saves hours per manual debugging by skipping function/resources/variables labeling.
The "NemoClaw vs. OpenClaw" section is absolutely ridiculous.
OpenClaw vs NemoClaw (NVIDIA)
Developer Peter Steinberger (individual project) vs NVIDIA Corporation
Current Status Acquired by OpenAI (Feb 2026) vs Upcoming release (GTC 2026)
Target Market General-purpose consumer AI assistant vs Enterprise AI agent platform
Core Strength Rapid deployment, viral adoption vs Security, privacy, enterprise reliability
Ecosystem Community-driven (NanoClaw variants) vs NVIDIA NeMo & NIM integration
Governance Transitioning to foundation management vs NVIDIA-backed with open-source access
GPU Acceleration Not natively optimized vs Native NVIDIA GPU acceleration
NemoClaw is not even out yet, so who knows what it might look like. I guess if you sprinkle the word 'Nvidia' around enough, your product is automatically better than the rest.
I don't even like OpenClaw, but this is just silly.
Insurance and overhead (eg. safety harass) exist for a reason other than to drain your wallet. Roofing is also a physically difficult job. You won't find many 50+ year old to couch on a rooftop all day, regardless of pays.
Well since the 787 program will very likely never break even, let alone turn in profit, for Boeing, the 737's replacement will be a do or die project for Boeing. They cannot afford another money-losing product.