machine learning

.@ClementDelangue | that's not an emoji | Mythos is the Greek-rooted noun meaning a sacred narrative, plot structure, or symbolic worldview (used in philosophy since Aristotle and in science as a framework of meaning), while mytho is merely its truncated combining form (as in mythology, mythopoeia) with no independent standing in any formal discipline

can someone share this with the Anthropic team?

this guy literally called this 11 days ago and this was thariq's response lol

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

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

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

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)

Hot take: paying $100+/month for a frontier AI model is becoming the wrong default Mistral Small 4 (open source, Apache 2.0) matches GPT-OSS 120B on benchmarks with 3.5x shorter outputs. $0.15 per million input tokens. Or self-host for free on 4x H100. Open-source models now trail SOTA by only ~3 months. For 80% of production workloads, that gap is irrelevant. Run open-source first. Fall back to proprietary when you actually need it

DeepSeek V3.2 🆕 $0.28/$0.42 per M → 3,750M input / 2,500M output​ DeepSeek R1 (deprecated) $0.55/$2.19 per M → 1,909M input / 479M output​ GLM 4.5 🆕 $0.60/$2.20 per M → 1,750M input / 477M output Gemini 3.1 Pro $2.00/$12.00 per M → 525M input / 87M output ✅​ GPT-5.4 $2.50/$15.00 per M → 420M input / 70M output Claude Sonnet 4.6 🆕 $3.00/$15.00 per M → 350M input / 70M output​ Claude Opus 4.6 $5.00/$25.00 per M → 210M input / 42M output ✅ x.com/Mlearning_ai/s…

$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

Verdict: Depends on your workflow 💰 Best value per token → AMD Strix Halo 🧪 Long context + agentic pipelines + CUDA → DGX Spark ⚡ Fastest decode + zero setup friction → Mac Studio M3 Ultra

The Ultimate 128GB Local LLM Hardware Battle Judging local inference (Qwen3.5-27B IQ4_NL ~16 GB) on top unified-memory machines: 1️⃣ AMD Strix Halo (Ryzen AI Max+ 395) ~$2,500 | ~16 tps decode | ~340–1,000 tps prefill | Windows Best $/token by far. Solid decode at half the price. Prefill lags behind both competitors. Software stack (Vulkan/ROCm) still needs tinkering 2️⃣ Apple Mac Studio M3 Ultra ~$5,000 | ~40+ tps decode | Strong prefill via MLX | macOS 800 GB/s bandwidth crushes decode fastest generation of the three. MLX ecosystem is polished and just works. Premium price for premium throughput. 3️⃣ NVIDIA DGX Spark (GB10 Blackwell) ~$3,999 | ~17 tps decode | ~1,939 tps prefill | ARM64 Ubuntu Prefill monster, 5× faster than Halo for long-context ingestion. Decode is bandwidth-limited. CUDA ecosystem is unmatched for ML tooling and fine-tuning. EXO pooling with Mac Studio achieves 2.8× overall speedup

Tool most people missed: Claude-HUD It is a Claude Code plugin that shows you exactly what your agent is doing in real-time: 1️⃣ Context usage (how much of the window is consumed) 2️⃣ Active tools (which MCP servers are being called) 3️⃣ Running agents (subagent tree) 4️⃣ Todo progress (task completion %) 9,700+ stars #1 on GitHub Trending today Install it in Claude Code, zero config Solves the "black box" problem of long agent sessions

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 hunter is comming