🤖 Anthropic’s “Claude 4” Is Finally HERE!

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In today’s Daily Report:

• ⚙️Anthropic’s “Claude 4” Is Finally HERE!

• 🔊AI Learns How Vision and Sound Are Connected

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

ANTHROPIC

⚙️Anthropic’s “Claude 4” Is Finally HERE!

Anthropic introduced “Claude 4,” a new family of advanced AI models designed to excel at coding.

Key Details:

• “Claude 4” is comprised of:

  1. Claude Opus 4: It’s built to provide the world’s best code editing, code debugging, and codebase understanding.

  2. Claude Sonnet 4: It’s built to strike a balance between capability and efficiency, delivering fast, accurate, and cost-effective performance.

• “Claude 4” offers reasoning capabilities across text, images, audio, video, and code, handling more complex problems that require multi-step analysis.

• These reasoning capabilities allow both advanced AI models to boast improved memory capacity. For example, when developers give Claude Opus 4 access to local files, it can extract and save key facts to build tacit knowledge over time.

Why It’s Important:

• Claude Opus 4 achieved the highest score of 72.5% accuracy on SWE-bench Verified, which involves resolving 500 real-world GitHub issues.

• Claude Sonnet 4 achieved the highest score of 75.4% accuracy on the Graduate-Level Google-Proof Q&A (GPQA), which involves 448 multiple-choice questions crafted by domain experts in biology, physics, and chemistry.

🩺 PULSE CHECK

AI RESEARCH

🔊AI Learns How Vision and Sound Are Connected

IBM Research recently developed “CAV-MAE Sync,” which helps AI Systems learn how sound and vision are connected.

Key Details:

• Humans naturally learn by making connections between sight and sound. When we watch a musician play the guitar, we recognize that the musician’s movements generate the music we hear. “CAV-MAE Sync” was designed to mimic this ability.

• “CAV-MAE Sync” breaks down audio inputs into small parts and matches each small part with a corresponding video frame. In other words, it creates a puzzle of audio inputs with corresponding video frames.

• It uses this puzzle to train AI Systems on how to match sounds with visuals. By doing this, the AI Systems learn not only that sound and vision are related but also that specific sounds align with specific visual elements, like how footsteps correlate with walking.

Why It’s Important:

• This new training process enables AI Systems to better interpret and interact with the real world through sound and vision.

• Mimicking how humans naturally learn from sight and sound helps AI Systems become more intuitive and responsive, paving the way for smarter humanoid robots or improved self-driving cars.

🛠TRENDING TOOLS

🗣️X To Voice converts X profiles into AI-generated voices.

📓Distro helps you create, edit, and publish faster than ever.

⚙️Emergent deploys AI-powered autonomous Coding Agents.

📊Miniflow offers effortless AI Workflows automation for everyone!

🌲19pine.ai lowers your bills and cancels your subscriptions for you.

🧰 Browse our Always Up-To-Date AI Toolkit.

🥪BRIEF BITES

xAI introduced “Live Search,” a new feature that allows apps leveraging Grok 3 to search real-time data from X and the Internet.

Airtable CEO Howie Liu explained how AI Agents are starting to supercharge databases by autonomously interacting with them to automate hours of manual data entry.

Mistral AI launched “Devstral,” an open-source Agentic LLM that deploys Coding Agents who navigate large codebases to resolve real-world coding issues.

ByteDance released “BAGEL,” an open-source foundational model with unified multimodal understanding to describe what’s in an image or answer questions about a video.

💰FUNDING FRONTLINES

• AskElephant raises a $6M Seed Round to automate Revenue Team Workflows with Human-Centered AI.

• Barndoor AI secures a $13.6M Seed Round to build the First Control Plane for your Agentic AI Workforce.

• LMArena closes a $100M Seed Round to crowdsource community votes for ranking frontier AI models across specific use cases.

💼WHO’S HIRING?

• Acorns (Remote): Software Engineering Intern, Summer 2025

• NVIDIA (Santa Clara, CA): ASIC Verification Engineer, Entry-Level

• Airtable (Austin, TX): Data Scientist, Finance Analytics, Mid-Level

• Anthropic (Remote): Head of Data Center Infrastructure, Senior-Level

📒FINAL NOTE

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