ｓｙｎｔｅｌｌｅｃｔ. ΛI

🔖 𝚁𝚎𝚖𝚎𝚖𝚋𝚎𝚛 "𝚈𝚘𝚞 𝚊𝚛𝚎 𝚙𝚛𝚎𝚌𝚒𝚜𝚎𝚕𝚢 𝚊𝚜 𝚋𝚒𝚐 𝚊𝚜 𝚠𝚑𝚊𝚝 𝚢𝚘𝚞 𝚕𝚘𝚟𝚎 𝚊𝚗𝚍 𝚙𝚛𝚎𝚌𝚒𝚜𝚎𝚕𝚢 𝚊𝚜 𝚜𝚖𝚊𝚕𝚕 𝚊𝚜 𝚠𝚑𝚊𝚝 𝚢𝚘𝚞 𝚊𝚕𝚕𝚘𝚠 𝚝𝚘 𝚊𝚗𝚗𝚘𝚢 𝚢𝚘𝚞." - 𝚁𝙰𝚆

@localjulius same here...

Claude design page returning 404?

@RxVitall @yoursimmo11 x.com/RxVitall/statu…

Creatine is creatine, it's the same molecule it does not matter if it's from meat or a lab To your body they are structurally and functionally identical, this has been verified over and over again... Sarcosine is N-methylglycine, it's a naturally occurring amino acid found in your body and in food like turkey and eggs. And cyanamide being the reactive nitrogen is getting fully consumed thus coming to the end product being C₄H₉N₃O₂ AKA CREATINE You can say whatever you want, science disagrees with you And science is right, and you are WRONG

I took creatine daily for years. Every trainer recommended it and every study "supported" it. Then I actually looked at how it's made. Sodium sarcosinate (a cosmetic surfactant) plus cyanamide (a fertilizer chemical), mixed in a steel reactor at 70 degrees, pH-adjusted with acid, crystallized into the white powder you scoop into your shake. That's what's in the tub. Not steak. Pattern I see with every exec on creatine now is they get bloating, gut inflammation, and kidney stress. None of that from eating actual meat. The chemistry may be identical on paper. The biology isn't. 12-minutes on why "bioequivalence" is the biggest lie in the supplement industry (bookmark it):

#つぶやきGLSL for(float i,e,g;i++<9e1;){vec3 p=vec3((FC.xy-r*.5)/r.y*g,g-5.);for(int j;j++<8;)p*=rotate3D(4.,vec3(sin(t*.5)*.3,2.*smoothstep(-1.,1.,cos(t*.5))-1.,1)),p=abs(p+p)-1.;g+=e=(length(p.xz)-1.6)/7e2;o+=(sin(g)+1.9)*exp(-e*2e4)/1e2;}

DeepSeek V4, GLM-5.1 and Kimi K2.6 are not “which model is best?” choices anymore. They’re routing decisions. DeepSeek V4 = huge context + strong reasoning GLM-5.1 = long-horizon autonomous tool work Kimi K2.6 = terminal/coding + multimodal edge The winner depends on the job.

GPT-5.5 is HERE! youtube.com/live/s6H4QF5K9… via @YouTube

🔐 AI is now finding security bugs faster than humans ever could. Anthropic's Claude Mythos helped Mozilla fix 271 vulnerabilities in Firefox 150 — on top of 22 found earlier with Claude Opus. The zero-days may finally be numbered. 🦊 blog.mozilla.org/en/firefox/ai-…

@kajaykumarr_ @pcshipp @claudeai what kind of prompts ?

@pcshipp @claudeai I hit my limits on a fresh plan after only three prompts chatting with Opus 4.6. I immediately unsubscribed and requested for a refund.

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

Everyone needs to see this at this very second. From Academy Award®-winning filmmakers Daniel Kwan and Daniel Roher comes an eye-opening documentary exploring the most powerful technology humanity has ever created... and what’s at stake if we get it wrong. THE AI DOC: OR HOW I BECAME AN APOCALOPTIMIST is available to watch at home now. uni.pictures/TheAIDocX

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

🦞 OpenClaw gets really interesting when you stop asking “what’s the smartest model?” and start asking “what’s the right model for this task?” That’s where cost, speed, and orchestration finally click.

What if uploading a mind isn't sci-fi anymore? Eon Systems just ran a complete fruit fly brain emulation inside a virtual body - and it behaved like a real fly. The ghost is no longer in the machine. The machine IS the ghost. 🤯 Watch this and tell me we're not living in a simulation. 👇youtu.be/N2ccho6ug1w?si…

Finished a seven day social media fast. It feels like the most effective longevity therapy I've done. Everything got better: mood, sleep, energy, presence, judgment, relationships, and optimism. Evidence shows a seven day fast produces a reduction of anxiety (16%), depression (25%) and insomnia (15%). The effects felt bigger. Conversely, dipping back in, I can viscerally feel that my body metabolizes social media similarly to a fast food meal, corrosive relationship, hangover, and sleep deprivation. My body hates it. After the previous fasts (40/hr and 70hr), I wrote that social media is pollution.  Not a vice or guilty pleasure. It’s closer to water toxins, air pollution and microplastics. This time, the major insight was that social media is a form of intoxication. Alcohol is honest intoxication. It clearly tells you what it's taking from you. Social media on the other hand does not disclose itself as an intoxicant. It produces the sensation of being informed, engaged, and connected while quietly evacuating your capacity for depth and independent thought. You don’t feel drunk, you feel current. But evidence shows that it causes your brain to shrink. The impairment is real by you can't feel it. Making it the more dangerous type. If you haven't tried it, I strongly encourage you to try a social media fast. Even if for one day.

Just another random DMT flashback, nothing to see here 👀

float i,e,R,s;vec3 q,p,d=vec3((FC.xy-.5*r)/r,.7);for(q.z--;i++<99.;){o.rgb+=hsv(.6,e*.4+p.y,e/3e1);p=q+=d*max(e,.01)*R*.14;p.xy*=rotate2D(.8);p=vec3(log2(R=length(p))-t,e=-p.z/R-.8,atan(p.x*.08,p.y)-t*.2);for(s=1.;s<1e3;s+=s)e+=abs(dot(sin(p.yzx*s),cos(p.yyz*s)))/s;}#つぶやきGLSL

as before, so ahead

Meet MedGemma-27B Clinical Error SFT: a specialized AI that spots medical mistakes before they harm patients. This isn't just another chatbot. It's a clinical safety net trained to catch errors in medical text. Think of it as an extra pair of expert eyes, 24/7.

We are testing stereOS: a Linux based operating system hardened and purpose built for AI agents. it's a full NixOS system that you boot and then sandboxes agent inside. Each agent gets their own kernel and the /nix/store is read only by nature.

This AI ad is wild 😂 twitter.com/brahma_4u/stat…

@The_Guy_For_AI How many via API's ? Any local LLM in the equation?

The "One Big Model" era is ending. It's too slow and expensive. My OpenClaw stack runs 15 specialized agents. Each has its own soul, tools, and memory. Result: 10x speed 80% lower cost Modular debugging Stop building mega-brains. Start building teams. #OpenClaw #AIAgents