𝗝 𝟯 𝟯 𝗣 𝟰 | 𝗷𝟯𝟯𝗽𝟰.𝗲𝘁𝗵

@RockportAI Garbage verbiage

Your eyes are torsion field projectors and the Egyptians knew the whole time. That's the claim. The article goes deep into hieroglyphic evidence, pineal gland geometry, and electromagnetic field theory that would make your physics professor cry. We turned it into an audio summary with a British accent because someone asked nicely. 10-minute read → 5-minute listen. Make of it what you will. By Jimmy Edgar

@RadicalJimmah Bourne is clearly lv5 though

He’s getting folded at Level 1

@MushtaqBilalPhD @dranthoniaeddo She corrected your spelling mistake of Voila though…

@dranthoniaeddo You’re plagiarizing my thread. Please delete it. Otherwise I’ll have to report your account to X for plagiarism.

Use Claude Code to generate 100% human-written text and make more money 💴

@VadimYuryev Not quite true. People are getting M5 Macs even though ordered M4 - depends on demand for the model etc.

Explanation for those who don't understand how Apple does things: The iMac, Mac mini and Mac Studio are the only remaining Macs running M4, M4 Pro, M4 Max and M3 Ultra chips. Once the brand new M5 series models arrive (rumored between now and June) these current chips will never be sold again. For every chip that Apple manufactures, RAM has to be soldered onto the SoC package permanently since Apple uses unified memory. It's not like the RAM sticks that most people are used it. So if Apple ends up with extra M4 chips that never got sold when the new M5 models arrive (especially M3 Ultra) that memory will end up in the bin.. during a RAM crisis. Because of that, Apple stopped production of these custom configuration (high RAM) M4 series and M3 Ultra chips early to make sure they sell out completely, and the RAM that Apple has secured during this RAM crisis has instead been for the past few months soldered onto the new M5, M5 Pro, M5 Max and M5 Ultra chips that will be going into the new Mac mini and Mac Studio. So if you see a far-out 4-5 month shipping estimate by Apple for a custom Mac configuration with high RAM, it actually means that it's completely SOLD OUT and Apple is cleverly trying to push you towards buying one of the remaining standard RAM configuration Mac models. Because the high-end RAM configs are completely sold out and they will NEVER ship. They are literally sold out completely and Apple will NOT make any more of them since they have stockpiles of brand new unreleased M5 models sitting in warehouses right now being prepared for launch within the next couple of months. This is why people should watch tech videos about new Mac leaks.. like the one I just published on YouTube ;) youtu.be/5O6LBbm2USI

@hsamh2025 @interesting_aIl Michelin guide

@interesting_aIl Michelin star and he isn't making his own

Pasta Tier List w/ Michelin Guide Chef Sandro Nardone

@Kekius_Sage These guys are going down

BREAKING 🚨: This is Matthew Gallagher, who made 800+ Facebook accounts for fake doctors to advertise on Facebook — and went on to build a GLP-1 telehealth company with just $20,000, AI, and only one full-time teammate: his brother. It generated $401M in 2025 and could reach $1.8B in 2026.

@TansuYegen Morons

Black nitrile gloves absorb cuts that would slice skin, taking the damage your hands never see 🧤

@GAltringham Nah. It was crap

Series that NEVER should have been canceled. I'll start👇:

@ThePrimeagen Benchmaxxed. Doesn’t feel great. Doesn’t have big model smell etc. Tool calling is patchy. Latter is Google’s major issue with big brother models too.

Did Google just W?

@KYMaverick1 He’s right

“The attorney fired back in a follow-up email, arguing he had ‘no cases in your Court, thus this is not ex parte but merely a voter exercising one’s freedom of speech concerning what some would consider offensive decorum in your courtroom.’”

@cremieuxrecueil And now Nature thinks they produce the best science in the World. Massive corruption and replication issues, and obviously fraud.

In 2016, Chinese universities were paying up to $63k to researchers who got a paper in Nature or Science. China has pretty big financial incentives for elite publications!

@anishmoonka You really think this is the bottleneck rather than enough funding (and rapid funding cycles) required to convert this into reality?

Your next cancer drug or gene therapy spends years stuck in a lab before it reaches a pharmacy shelf. Anthropic is testing a tool that goes after the bottleneck: the coding work biologists do before any human trial even starts. It’s called Operon. Four tasks show up on the loading screen and they tell you everything. “Design a CRISPR knockout screen” means turning off every gene in a cell, one at a time, across 20,000+ genes, to find which ones cause disease. Imagine flipping 20,000 light switches to figure out which one controls the kitchen. Planning that experiment alone takes a biologist months. “Analyze scRNA-seq data” means reading what each individual cell in a tissue sample is doing, instead of blending them all together into one average. The code to crunch that data takes weeks to write. “Rank enzyme variants with PLMs” means feeding an AI trained on 65 million protein sequences and asking: which version of this enzyme will actually work? It predicts the answer before anyone picks up a pipette. “Build a phylogenetic tree” means mapping how organisms or genes branched apart over evolution. How scientists trace where a virus strain came from. Every one of these jobs requires a PhD and serious programming chops. Operon wants to turn them into a conversation. The name itself is a nod. An operon is a cluster of genes that switch on together in biology. Nobody outside a biology department would pick that name. Operon sits inside Claude Desktop as its own mode, next to Chat, Code, and Cowork. It reads files straight off a researcher’s computer (biology datasets are way too big to upload). It has a planning mode and an auto mode, borrowed from Claude Code. Anthropic has been laying track here for months. Last October they launched Claude for Life Sciences with plug-ins for PubMed (35 million medical papers), Benchling (where scientists log experiments), and 10x Genomics. In January they added a drug compound database. Claude already beats human experts on a lab protocol comprehension test, 0.83 versus 0.79. And the real-world pharma results are hard to ignore. Novo Nordisk used Claude to chop clinical report writing from 15 weeks to under 10 minutes. A team of 50 writers shrank to 3. Their annual Claude bill costs less than one writer’s salary. Every day a drug hits the market sooner is worth roughly $15 million to them. The AI drug discovery market sits around $3 to 5 billion this year, growing 20 to 30% annually. Over 200 AI-discovered drug candidates are in clinical trials right now. But I want to be straight about what AI can’t touch: clinical trials still grind on for years. Regulatory review, manufacturing, all of that stays slow. AI trims the front of a decade-long pipeline. Anthropic hit $19 billion in annual run rate last month. $380 billion valuation. 80% of that revenue comes from businesses. Operon says a lot about where they think the next enterprise dollar is hiding. The lab.

@AngelMD1103 Judge needs investigating, not the tech

This got awkward FAST… ⚖️ During a remote court hearing, an IT technician tried to fix an audio issue and casually joked it was a “false alarm.” But the judge didn’t take it lightly at all—he immediately asked to speak to the technician’s supervisor. What seemed like a small comment quickly turned into a tense moment in court. Do you think the judge overreacted, or should professionalism be taken that seriously in a setting like this?

@mal_shaik They ain’t using opus 4.6

to: anthropic what i really wanna know is how you guys are using claude code internally to ship so damn much would be so cool to see a study on how the highest performing engineers at anthropic are using claude code pls make this happen 🫶

@C_S_Skeptic Why would anyone look forward to an IPO. It’s downhill for a long time with VCs and early investors dumping none stop?

A list of companies sitting at insane valuations that are still running out of cash to burn.

@chiefofautism @migtronix The cycle of code

@migtronix ouroboros

someone at ANTHROPIC just showed CLAUDE finding ZERO DAY vulnerabilities in a live conference demo claude has found zero day in Ghost, 50,000 stars on github, never had a critical security vulnerability in its entire, history... it found the blind SQL injection in 90 minutes, stole the admin api key, then did the exact, same thing to the linux kernel

@joshwhiton @patrickc @conor64 Err. Which ones?

@patrickc @conor64 Widespread suppression of numerous effective alternative treatments in order to secure and maintain vaccine Emergency Use Authorization. No better business model than a product forced onto consumers by a government mandated monopoly with zero liability to the mfg.

A question for everyone: survey data suggests that by the end of the Covid-19 emergency trust in public health institutions had decreased significantly. If you are among the people who reacted that way, why specifically? I'm hoping for long, diverse, individualized answers.

@patrickc @tszzl @conor64 Yeah. Because it was sooo easy to get all this evidenced when people were dying left, right and center. And all requires a lot of time to track cause and effect. Hindsight is great.

Offhand — * Vacillation on masks, with abundant motivated reasoning in every case. * Promulgation of made-up thresholds with no evidentiary basis (e.g. 6 feet). * Authoritarian delight in nanny state intrusiveness (policing the beach and such). * 180 on many issues around BLM. * Lack of effective response from science funding bodies. * Denial of aerosolized transmission. * Changing of trial readouts so that they’d occur after the election. (Confirmed to me by senior OWS officials.) * Crazy criteria for vaccine distribution. * Adamant insistence on vaccine efficacy beyond what was supported by data. * Almost complete lack of follow-through on OWS (on pan-variant vaccines). I’m sure there are more, but those are the ones that stick out.

@trung_rta @Scobleizer @TheAhmadOsman Really? Memory bandwidth and slowish memory cannot be optimized tha much?

@Scobleizer @TheAhmadOsman DGX Spark is not as good as its potentials. I think Nvidia is working on optimization

please don't waste your money or time on this for LLMs / local AI

@stevehou Nah

“Hassabis administered a subtle test on him. The two men discussed the potential of AI, and Zuckerberg expressed appropriate excitement. But then, as the dinner continued, Hassabis brought up other hot technologies: virtual reality, augmented reality, 3-D printing. Zuckerberg sounded equally excited about all of them. ‘That told me what I needed to know,’ Hassabis said.”