Eva Rtology

Claude Mythos just leaked and it's Anthropic's most powerful model ever built Here are 3 things that matter right now: 1️⃣ Cybersecurity changes forever. Mythos finds and exploits software vulnerabilities beyond any existing AI. Anthropic is restricting access to defense-focused organizations first, offense potential is that serious. 2️⃣ A new model tier called "Capybara" sits above Opus. This signals Anthropic is restructuring its entire product line around frontier capabilities 3️⃣ Cost will gatekeep access. Running Mythos is extremely expensive, meaning enterprise-only pricing is likely at launch The AI arms race just accelerated overnight x.com/Mlearning_ai/s…

kill Sora, kill Atlas browser kill hardware experiments x.com/Mlearning_ai/s… @AnthropicAI captures 73% of new enterprise AI spending In January it was 50/50 with OpenAI In December, OpenAI led 60/40 Fidji Simo told staff: "We cannot miss this moment because we are distracted by side quests" @OpenAI still leads on total revenue ($25B vs $19B). But Anthropic is winning every new deal Revenue is a trailing indicator New customer share is a leading one

40+ Rules for Using AI Without Getting Played PS-015: The Sycophancy Audit

This alone explains why sora went dark x.com/Mlearning_ai/s…

Claude Code Can Auto-Dream Now My Rem-Dreamer Already Could I've run a custom rem-dreamer subagent since mid-2025 to let Claude dream over my artistic research project. Now @AnthropicAI shipped Auto-dream natively in @claudeai v2.1.81 They stack

the gap is setup 🟠 The Complete Claude Code Setup Guide From Beginner to Pro (March 2026)

Remember: there's no such thing as ugly art, but there absolutely is an ugly AI scam

That link in his bio? It leads to a lead-capture funnel designed to sell you something from a person who was never born. Nearly 650,000 people followed a ghost. If that doesn't make you want to learn how platforms handle this kind of deception, nothing will.

he sits in a rolls-royce he holds a painting he promises to protect your wealth but omar wiseman... x.com/evARTology/sta…

$1,050/month Subscriptions 🟠 Claude Max $200/mo​ ChatGPT Pro $200/mo​ Cursor Ultra $200/mo (20× usage credits vs Pro) Perplexity Max $200/mo (includes Computer) Google AI Ultra $250/mo $1,050 in API Tokens ⬇️ Kimi K2.5 $0.45/$2.20 per M → 2,333M input / 477M output

Your agent has access to your SSH keys right now. Here’s how to fix that in five minutes 🟠 NVIDIA OpenShell: 18+ Practical Tips to Run AI Agents Without Losing Sleep

The film uses Kilmer's post-tracheostomy voice rather than his original speaking voice. Kilmer had already worked with AI company Sonantic during his lifetime to digitally recreate his voice, a technology used in his final live-action appearance in Top Gun: Maverick (2022)

The AI Technology The filmmakers used an extensive collection of previously recorded footage, photographs, and audio to produce a photorealistic digital version of Kilmer employing a mix of publicly available generative AI tools, though the director declined to name specific ones

Nearly a year after his death, Val Kilmer will appear on screen one final time in the independent film As Deep as the Grave, marking what producers call a "first-ever performance enabled by generative AI"

GPT-5.4 Mini and Nano Ship 🟠 OpenAI Just Repriced the Entire Multi-Agent Stack OpenAI shipped GPT-5.4 mini and nano yesterday, and the framing matters more than the benchmarks. They are purpose-built subagent models, the first time a frontier lab has explicitly designed model variants for the worker tier of multi-agent architectures. GPT-5.4 mini approaches full GPT-5.4 performance: 54.4% on SWE-Bench Pro (vs. 57.7% for the full model), 72.1% on OSWorld-Verified (vs. 75.0%). It runs 2x faster than GPT-5 mini with a 400K-token context window. In Codex, it consumes just 30% of your GPT-5.4 quota, meaning you get roughly 3.3x more agent tasks per dollar. Pricing: $0.75 / $4.50 per 1M tokens (input/output). GPT-5.4 nano is the cheapest GPT-5.4 variant at $0.20 / $1.25 per 1M tokens. Purpose: classification, data extraction, ranking, and lightweight subagents handling support tasks inside a multi-agent system. API only. The intended architecture is now explicit in the product. Use GPT-5.4 as the planning/coordination model. Use mini for worker agents doing coding, computer use, and tool calling. Use nano for classification and routing. OpenAI showed this pattern directly in their Codex documentation, a parent agent delegates to specialized subagents running cheaper models. The cost structure of multi-agent systems just became viable at scale. The catch: mini is 3x pricier than GPT-5 mini, and nano is 4x pricier than GPT-5 nano. You are paying more per token, but you need far fewer tokens for equivalent results.

Artists live outside the clock @midjourney V8 vs @GeminiApp vs @grok vs @ChatGPTapp x.com/evARTology/sta…

@midjourney thank you, I arrived with the slightly old fashioned expectation of five fingers per hand, though I understand: BETA.

@evARTology you can wait for us to fix the bug or you can use different settings, either works! thank you for helping us spot a issue during the alpha testing phase <3

In 2026, @Midjourney went from seven fingers to eight on one hand congratulations, V8!

@midjourney I may be mistaken, though this is 2026, right?

@evARTology if you want good fingers avoid doing something like --stylize 0 for now, try just default settings --stylize 100 to --stylize 1000 or just dont put any stylize in there at all