I few months ago, I backed up my windows gaming machine and overwrote the partition with CachyOS. Haven't looked back. Gaming performance and compatibility has exceeded my expectations. Just a much better experience overall. I feel sorry anytime I see someone using Windows.
I have a lot of hope for local AI. Local model intelligence has come so far from where it was just a few years ago. It is about a model's intelligence density now for local AI. Models like Qwen 3.6 are truly capable. Sure Qwen 3.6 isn't SOA, but it certainly can do many daily tasks. Even if the AI isn't running locally, hosted GLM 5.2 is in the same ballpark as Opus 4.8, and you can choose your provider.
I would wager frontier LLM achievements will plateau, and open-weight models will catch up. Then OpenAI and Anthropic will have significantly less value prop. It is hard to say when that may happen. People regard open-weight models about 4-10 months behind frontier models, so its not like those using open-weight models need to wait long to catch up.
The biggest concern is identifying "who". If the US government says only US citizens can access a model, how do they enforce that. Anthropic and OpenAI will use Persona (a company funded by Peter Thiel) to verify user identity. Verifying your identity with a government ID and linking that to AI is the dream of a surveillance state. Agents running on your computer, accessing your internet accounts, access to your personal conversations with AI, and accessible by the government is just wild.
I don't call people rude for doing it. Maybe I should. I consider it rude. Maybe I should inquire if the earbuds are for hearing assistance then mention they are rude if they say no. Not really my style, but at least it would be direct. I don't know what percentage of earbud users depend on the earbuds for hearing assistance, but I would wager it is a small percent of the total of people who use earbuds. I doubt that I'm the only person who considers people who leave their earbuds while talking rude.
> And people now don’t feel neglected when you keep the Pods in your ear.
I disagree with this. Pods in ears are essentially a "do not disturb" sign for most people. Being around people who regularly have the "do not disturb" sign feels neglecting. People who might initiate conversation don't know if they will even be heard if they try to talk, so why bother. I would rather be alone than in a room of people who are actively ignoring each other.
I dislike the NC pause because it often awkwardly unpauses when someone is replying to you. I just pop the earbuds out when I start talking. To me, speaking with earbuds in is rude, and I want to show the courtesy to the person I'm talking to that they have my attention.
It kind of sucks, but I get the silent change. If a user was trying to use the model for something untoward, having a rejected prompt would just give signal to train on how to eventually successfully bypass security measures.
The title is a bit misleading. The title suggests that Facebook is intentionally paying for a political interference campaign targeting Alberta. It sounds more like it is the monetary incentive structure that indirectly encourages this type of behavior.
It has been years since I signed into Facebook. The content on Facebook is just vile and disgusting, IMO. I remember signing in 3 years ago, and signing out less than a minute later because I couldn't look at it. It wasn't content from people I knew. It was all the thirst traps, rage bait, weird ads, and other garbage. I don't think normal humans still use Facebook, do they? I can't imagine regularly frequenting a sewer like that.
I think devs forget how efficient and blazing fast server rendered pages can be, and ultimately what a great user experience non-SPA applications can provide. It seems like the dev community has locked in on SPAs for everything. There is so much complexity and other overhead associated with SPAs. At the end of the day a browser is rendering HTML + CSS, JS can handle some additional interactivity. Presently, we have some very complex SPAs that are handling large amounts of state, large dependencies (js libs), often optimized assets, etc. I remember people bemoaning Flash apps. I kind of feel like SPAs are kind of becoming the new Flash app.
> this will create pressure on developers to memory-optimize their software
Ideally, yes, realistically, no. It is rare that I hear FE devs considering how much memory their apps are using. I really wish RAM use would be a much greater concern, but when I look at programs I normally run, I can tell RAM is not a concern (imagine me giving a dramatic accusing look at Docker Desktop, next-server, ...). RAM use for web pages is often not given much consideration either.
The Neo's value prop is great for many people. I keep needing to remind myself that most computer users can get by fine with 8GB or RAM, and that the I'm not the target market for products like the Neo. I do get nervous with how future proof 8GB of RAM will be in terms of total usable lifespan for the Neo. Maybe the idea is shortened timeline to obsolescence means more sales. Not digging on the build quality, but just if 8GB or RAM will still be fine 5 years from now.
I feel this so much. I woke up at 1am last night stressing about AI and my potential lack of productivity. 2am rolls around, and I could not get back to sleep so I worked till 4:30am. Slept fine till 7:00am. AI has been causing a lot of stress for me and many others lately. My biggest source of stress is what will AI transform the human work world into by the time my children need a job? Most of us live in a capitalist society so AI utopia is right off the table.
The more difficult it is for humans to consistently and accurately compare model outputs the more opportunity there is to spread FUD (Fear, Uncertainty, Doubt). Considering valuations of these companies and the astronomical investments being made, a sabotage campaign with bots or paid users on reddit, twitter, YouTube, or whatever socials could go a long way towards knocking market cap off the competition. Not saying that's happening, just saying its an obvious target. Even if the goal is not nefarious, people with a perceived bad experience are 2-3x more likely to complain. So even without bad actors involved, a new model may need to be significantly better in order to break even on the old net promoter score.
If data center water use is such a concern, why not require that data centers invest in closed-loop cooling systems? By closed-loop, I'm talking about re-condensing evaporated water and allowing the water to cool. Cooling the water would be more expensive in hotter environments, but still achievable. These data centers seem to have wild amounts of money for investment, why not just mandate conservation requirements?
Anthropic is loosing the good will they built with devs faster than they built it. Its the anti-competitive and anti-opensource behviors that will erode their dev customer base. No clue how much of Anthropic's revenue is based on devs paying for claude subscriptions, but they are going to lose that quickly.
I would have jumped ship, but OpenAI saying "hold my beer" when Anthropic declined the Pentagon's safeguard removal demands is the only thing that has prevented me from jumping ship. I've considered Chinese AI services but I'm too concerned with data (proprietary code) exfiltration.
I only use copilot for the occasional auto-complete suggestion. I'm betting I could run a lightweight local LLM with llama.cpp to get similar functionality. Maybe this would be a decent replacement https://github.com/TabbyML/tabby
I'm too concerned with data exfiltration to use many AI services unless their terms of service state they will not use your data for training or anything else. Zero retention is what I'm looking for. I care because I frequently work on proprietary code that I do not personally own (as most employed software devs do). So if I am using an AI service with proprietary code, I want assurances that there is no retention and no training happening. From my American perspective Chinese companies don't have the best track record of not training on proprietary information. I guess LLMs in general are trained on a lot of proprietary information. I just don't want to be responsible for unintentionally exfiltrating my employer's proprietary code.
My recent frustration with Claude has been it feels like I'm waiting on responses more. I don't have historical latency to compare this with, but I feel like it has been getting slower. I may be wrong, and maybe its just spending more time thinking than it used to. My guess is Anthropic is having capacity issues. I hope I'm wrong because I don't want to switch.
I feel like there have been enough hyperbolic claims by Anthropic, that I'm starting to get some real Boy Who Cried Wolf energy. I'm starting to tune out, and assume it is a marketing ploy. Trust me, I'm an Antropic fan, and I pay my $200/month for max, but the claims are wearing thin.
Thank you. I have the same card, and I noticed the same ~100 TPS when I ran Q3.5-35B-A3B. G4 26B A4B running at 150TPS is a 50% performance gain. That's pretty huge.
I feel the global instability could easily be very disruptive to SpaceX. Just imagine if Russia gets vindictive and starts destroying these satellites or blowing up their satellites to create orbital debris that could knock satellites out of orbit. A really bad solar storm could be devastating.
Just saying there are some decent risks, and pricing it at 1.75T IPO seems risky enough. I would not take that gamble.
I think two recent advances make your statement more true. The new Qwen 3.5 series has shown a relatively high intelligence density, and Google's new turboquant could result in dramatically smaller/efficient models without the normal quantization accuracy tradeoff.
I would expect consumer inference ASIC chips will emerge when model developments start plateauing, and "baking" a highly capable and dense model to a chip makes economic sense.
If turboquant can reliably reduce LLM inference RAM requirements by 6x, suddenly reducing total RAM needs by 6x should have a dramatic shift on the hardware market, or at least we can all hope. I know 6x is the key-value cache saving, so I'm not sure if that really translates to 6x total RAM requirements decrease for inference.
There are many sources for data on before and after school cell phone bans. Oregon is far from the first to implement this. 35 US states have some form of school cell phone ban, and I believe the UK is doing a nation-wide ban. There is a good amount of supporting data measuring results on this topic.
This is what I've been working on. I've written a project wrapper CLI that has a consistent interface that wraps a bunch of tools. The reason I wrote the CLI wrapper is for consistency. I wrote a skill that states when and how to call the CLI. AI agents are frequently inconsistent with how they will call something. There are some things I want executed in a consistent and controlled way.
It is also easier to write and debug CLI tooling, and other human devs get to benefit from the CLI tools. MCP includes agent instructions of how to use it, but the same can be done with skills or AGENTS.md (CLAUDE.md) for CLI.
I thought this was going to talk about a nerfed Opus 4.6 experience. I believe I experienced one of those yesterday. I usually have multiple active claude code sessions, using Opus 4.6, running. The other sessions were great, but one session really felt off. It just felt much more dumbed down than what I was used to. I accidentally gave that session a "good" feedback, which my inner conspiracy theorist immediately jumps to a conclusion that I just helped validate a hamstrung model in some A/B test.