EP 534: Claude 4 - Your Guide to Opus 4, Sonnet 4 & New Features - podcast episode cover

EP 534: Claude 4 - Your Guide to Opus 4, Sonnet 4 & New Features

May 28, 202545 minEp. 534
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Episode description

Claude 4: Game-changer or just more AI noise? 

Anthropic's new Opus 4 and Sonnet 4 models are officially out and crushing coding benchmarks like breakfast cereal. 

They're touting big coding gains, fresh tools, and smarter AI agentic capabilities. 

Need to know what's actually up with Claude 4, minus the marketing fluff? Join us as we dive in. 

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Topics Covered in This Episode:

  1. Claude 4 Opus and SONNET Launch
  2. Anthropic Developer Conference Highlights
  3. Anthropic's AI Model Naming Changes
  4. Claude 4's Hybrid Reasoning Explained
  5. Benchmark Scores for Claude 4 Models
  6. Tool Integration and Long Tasks in Claude
  7. Coding Excellence in Opus and SONNET 4
  8. Ethical Risks in Claude 4 Testing


Timestamps:
00:00 "Anthropic's New AI Models Revealed"

03:46 Claude Model Naming Update

07:43 Claude 4: Extended Task Capabilities

10:55 "Partner with AI Experts"

15:43 Software Benchmark: Opus & SONNET Lead

16:45 INTROPIC Leads in Coding AI

21:27 Versatile Use of Claude Models

23:13 Claude Four's New Features & Limitations

28:23 AI Pricing and Performance Disappointment

32:21 Opus Four: AI Risk Concerns

35:14 AI Model's Extreme Response Tactics

36:40 AI Model Misbehavior Concerns

42:51 Pre-Release Testing for Safety


Keywords:
Claude 4, Anthropic, AI model update, Opus 4, SONNET 4, Large Language Model, Hybrid reasoning, Software engineering, Coding precision, Tool integration, Web search, Long running tasks, Coherence, Claude Code, API pricing, Swebench, Thinking mode, Memory files, Context window, Agentic systems, Deceptive blackmail behavior, Ethical risks, Testing scenarios, MCP connector, Coding excellence, Developer conference, Rate limits, Opus pricing, SONNET pricing, Claude Haiku, Tool execution, API side, Artificial analysis intelligence index, Multimodal, Extended thinking, Formative feedback, Text generation, Reasoning process, Lecture summary.

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