Shiny Inc
Posts
Figure, Reflect Orbital, Claude Haiku, DeepMind SIMA & Devin.

Figure, Reflect Orbital, Claude Haiku, DeepMind SIMA & Devin.

Plus we'll be seeing the next Starship test tomorrow.

Tom Osman
March 14, 2024 • Reading time: 5 minutes

The last 24 hours felt like 100 years of technological advancements. So crazy!

Today we’ll be covering stuff like Humanoid Robots, Solar Panels that work at night, AI Software Engineers and a few more things that you might be interested in if you fancy yourself as a tip of the spear type.

Enjoy.

Figure installs OpenAI

Analysis: This post highlights the integration of OpenAI models with Figure 01 for enhanced conversational abilities, showcasing the synergy between high-level visual/language intelligence and low-level dexterous actions.

Key Takeaway: The advancement signifies a leap towards more embodied AI applications in real-world scenarios.

Plus, Corey, the technical lead on the Figure project does a longer deepdive here.

Reflect Orbital, Solar at Night

Analysis: A new company called Reflect have demonstrated the ability to bounce sunlight onto solar panels using big mirrors opening up the possibility for solar power generation even at night.

Key Takeaway: If achievable this presents the opportunity for solar power to reach entirely new benchmarks for energy generation.

Claude 3's Animation Capabilities

Analysis: This demonstrates Claude 3's ability to generate animation code for educational purposes, emphasizing the model's utility in creative coding and its potential as an educational tool.

Key Takeaway: AI's role in simplifying complex coding tasks and enhancing learning experiences is increasingly significant.

Google DeepMind's SIMA

Analysis: Introduces SIMA, a generalist AI agent capable of understanding and acting on natural-language instructions within 3D environments, marking a step forward in creating versatile AI agents.

Key Takeaway: Language understanding combined with environmental interaction opens new avenues for AI applications in gaming and virtual simulations.

Analysis: This index from a16z gives a great overview of the top consumer-facing AI applications, highlighting rapid progress, new entrants, and the diversification of AI into music, productivity, and companionship!

Key Takeaway: The consumer AI landscape is evolving quickly, with mobile platforms unlocking unique use cases and global participation driving innovation.

Analysis: Shows the potential of AI to analyze and reason over video content, using Gemini 1.5's ability to identify hazards in traffic videos as an example.

Key Takeaway: Advances in video analysis could lead to significant improvements in surveillance, safety, and content management.

Shoutout to for the find here.

Midjourney's Character Reference

Analysis: Showcases Midjourney's capability to maintain character consistency across different contexts, demonstrating AI's growing influence in creative fields.

Key Takeaway: AI is not only automating tasks but also enabling new forms of artistic expression and storytelling.

Claude 3 Haiku

Analysis: Announces the release of Claude 3 Haiku, emphasizing its speed, affordability, and enterprise-grade security for analyzing large datasets.

Key Takeaway: The development underscores the importance of efficient, secure AI solutions for business applications, from customer support to legal analysis.

Introducing Devin: The First AI Software Engineer

Analysis: The post announces Devin as a pioneering AI capable of performing software engineering tasks autonomously. Devin has demonstrated remarkable abilities by setting new benchmarks on the SWE-Bench coding benchmark, passing practical engineering interviews, and completing jobs on Upwork. Its proficiency in solving GitHub issues found in open-source projects significantly surpasses previous models.

Key Takeaway: Devin represents a major leap in AI's application to software engineering, showcasing the potential for AI agents to contribute meaningfully to real-world programming and dev tasks.

Each of these individual things reflects how fast the AI landscape is changing, from technical innovations and application-specific advancements to broader trends in consumer adoption and into the enterprise.

Together, they give a glimpse into a future where AI's impact is pervasive, touching every aspect of our lives, from how we learn and create to how businesses engage with consumers and think bigger.