The Texan Patriot

@KanikaBK There is no paper with this title. Are you knowingly lying, or were you duped?

WAIT... WHAT!! Anthropic burned $3 million and 30 months running AI agents against real tasks in real companies and published everything in 12 pages and the people who read those 12 pages this week are going to make decisions about how they build and work that are fundamentally different from the people who scroll past it thinking they already understand what AI can do. 1,287 real tasks. 2.4 million lines of code. AI outperforming humans on their own projects. 63% of routine work automated. Engineer output multiplied three times with the right memory and the right cycles. Someone paid $3 million so you could read that for free and most people are going to bookmark it and never open it again which is the most expensive free resource in the history of AI research. But here is the gap that the 12 pages do not close. Knowing that the right system multiplies output three times and knowing how to build that system are two completely different things and the second one is where everyone gets stuck and stays stuck while the people who figured it out quietly operate at a different level. My article is the bridge between the $3 million research and the actual system build and it is the thing you read immediately after you bookmark those 12 pages. Do not let this be another thing you meant to act on. Full guide below.

@Polymarket And now, AI enters its enshitification phase.

69% chance Anthropic goes public by the end of the year. poly.market/HUyQqy3

JUST IN: Anthropic donates another $20 million to a political nonprofit demanding stricter AI regulation ahead of the midterms.

@Hesamation You will not stop open source. It will go underground if it's necessary. You also cannot stop someone from connection to a provider outside of US jurisdiction.

it’s just for your safety

@dilshadtweets @claudeai Setup optimization is not going to overcome the model architecture. You don't know what the hell you're talking about.

@watchmanpat @claudeai token usage is a result of your setup optimize it!!

Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.

@dilshadtweets @claudeai Kimi uses twice the tokens though, so half the cost + twice the tokens = even. The real benefit is the lack of a retarded safety harness, not the price.

@claudeai Why would choose anything for the half the price of fable? When we have Kimi which is better than fable and less than half the price of fable.

@claudeai I don't think it's that great. It could be without the stupid and aggressive safety harness. I find GPT 5.6 Sol to be better for my work. To each their own though.

@AntiWokeMemes No, retard. This is an Alpha Male!

Is this what you think an Alpha Male looks like? 😂

@kdandy888 Yes, because there are people clamoring for warehouse jobs! In reality, these jobs are about as popular as fast food jobs. NO ONE wants to do them, which is a prime candidate for automation.

Cool to watch until you realize this little dude just took a person’s job

@BuffaloRon "Assault knife"

Hawaii has fallen....

@BuffaloRon Do cars next. "Cars" kill a lot of people, we should do a buyback for those too.

@Excellentsalvic Say "Ok, then. Bye!" You should not have to pay to have a relationship with your sister. That's on her, not you.

@0xGrimmer_ There is no cheap way to get local inference at usual speeds with models large enough and capable enough to do meaningful work. <30B models (fits on one 3090 24B) can code, but their reasoning is quite terrible.

A USED $700 RTX 3090 HAS MORE MEMORY AND FAR MORE SPEED THAN THE ~$1,000 A2 GOING INTO THIS SERVER. THE A2 STILL WINS - FOR ONE REASON THAT ISN'T PERFORMANCE. that clip is a dell poweredge r760 - a 2u rack server - getting an nvidia a2 dropped in through a riser. this is the enterprise route to local ai. the rung the desktop ladder skips entirely. the a2, verified: 16gb of memory, single-slot, low-profile, and just 40 to 60 watts it's an inference card, built to sit in a server that has no room or spare power for a real gpu so why not a 3090? a used rtx 3090 gives you 24gb and many times the compute for around $700. the a2 gives 16gb, much slower, for roughly a thousand. on raw local-llm value, the desktop card wins, and it isn't close. the a2's whole reason to exist is the thing you can't see on a spec sheet: it fits. a 2u server has no spare gpu power and no room for a triple-slot furnace. the a2 slips into one low-profile slot on 60 watts and lets an existing server do inference without a rebuild. the honest caveats: the r760 is not a desk machine. loaded, it idles at hundreds of watts, and its fans sound like a hair dryer that never turns off. it belongs in a rack or a closet 16gb is still 16gb. the same 7b-to-32b ceiling as the cheap cards. the enterprise badge doesn't buy you a bigger model what it does buy: ecc memory, redundant power, remote management, hot-swap everything. reliability, not speed so who this is for: someone who already runs a rack and wants to add private inference without touching the power or cooling budget. for anyone starting from a desk, the mac mini or the 3090 wins on every axis that matters. the real point: the "best" local ai box depends entirely on what you already own. on a desk, efficiency wins. in a rack, fit and reliability win. the a2 isn't a bad card - it's a card for a constraint the ladder never mentions. no fastest gpu here, no desk-friendly box, no bigger model than the cheap cards already run. save this before you buy enterprise gear for a desktop job.

It has something similar, but quite the same. Systemd has a unique identifier, but it's not used as maliciously as Microslop's GDID. It's quite easy to write a script that rotates this ID on a given interval, but you have to do this manually after each install. There are Linux distros that don't use systemd though, but they are niche. Any distro that you've likely heard of uses it.

Does linux have the same thing? is this what Linus was hinting at?

Describe this man using ONE word

@vxylily 1. Obesity 2. Entitlement 3. Woke/Leftist Ideology 4. Too many tattoos 5. Septum ring, or unappealing piercings 6. Blue or other unnatural hair color 7. Non-domesticated (can't/won't clean) 8. Inability to prepare meals 9. Reluctance to have children 10. Intolerable family

Be honest

@TaraBull He never said Trump, at least not in this clip.

‘Reacher’ Star Alan Ritchson Erupts: Trump Is a ‘Fking Rapıst’ ‘All Up Into 13-Year-Olds’ – ‘Go to Jail’ Over Epstein Files** Better lawyer up Alan

@AndrewCurran_ This is a typical incompetent government knee jerk reaction, which is also always terrible and just in time to be too late to do anything useful.

The Hugging Face attack has led Representatives Ted Lieu (D-Califk) and Nathaniel Moran (R-Texas) to introduce the AI Kill Switch Act.

@WearForbidden Everything is the Jews' fault, of course.

How it feels filling up your tank while America fights another war for Israel: