DegenSing

finally a benchmark that actually matters.
forget MMLU and math scores.. PinchBench tests which AI model is best at doing real work.
not answering trivia. actually doing things:
→ looking up info from multiple web sources
→ creating and scheduling meetings
→ organizing files on your computer
→ writing and managing emails
it tests models running as agents through OpenClaw.. meaning the AI has to use tools, chain actions, and complete tasks end to end.
the results are interesting:
> Gemini 3 Flash leads at 95.1%
> MiniMax M2.1 close behind at 93.6%
> Kimi K2.5 at 93.4%
> Claude Sonnet at 92.7%
>

Claude can literally make you rich.
investment firms, banks, and financial institutions are all using Claude for research and analysis.
and now you can steal their exact playbook.
here's the 9-phase system top financial institutions use with Claude:
> phase 1: build your investor profile
tell Claude your style (value, growth, macro), risk tolerance, time horizon, return targets. this becomes the lens for everything that follows.
prompt: "here is my investor profile. reference this for everything we discuss today."
> phase 2: institutional document analysis
upload 10-Ks, earnings calls, hedge f

someone just leaked the Claude Code meta.
this repo has 13k stars and it's basically a free AI engineering team in a folder.
what's inside:
→ sub-agent architectures that actually scale
→ the only 3 MCP servers you'll ever need
→ slash commands that aren't in the official docs
→ real workflows from Karpathy and Boris Cherny
→ orchestration patterns: Command → Agent → Skill
Boris Cherny (Anthropic) said it best.. "every engineer uses their tools differently. we built Claude Code to not just have great defaults, but to also be incredibly customizable."
hooks, plugins, LSPs, MCPs, skills, custom

10 AI companies are giving away courses for free that people pay thousands for.
master even 3 of these and you're ahead of 99% of people panicking about AI replacing them.
here's your free curriculum:
1. OpenAI — learn directly from the people building GPT
→
2. Google — AI fundamentals from the company that started the transformer revolution
→
3. Microsoft — enterprise AI, Azure, Copilot.. the corporate AI stack
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4. NVIDIA — GPU computing, deep learning, the hardware side nobody teaches
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5. — Andrew Ng's courses.. this is the gold standard for ML foundations
→
6. Meta — open-source AI,