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Is AI Conscious? Or Could It Be Soon?
PLUS: Space Llamas, a Biohazard Warning You Can’t Ignore, and a No-Code Builder to Try Now
Welcome to another edition of AI Horizons, your weekly dose of AI breakthroughs and practical insights—made simple, relevant, and actionable. Here's what’s on deck today:
Could AI become conscious?
Meta’s Llama heads to space
OpenAI’s deep research for free users
AI outperforms virologists in lab tests
How to connect AI agents to Gmail & GitHub
A no-code builder for AI tools
FEATURED INSIGHT💡
Is AI Conscious, or Could It Be Soon?

As AI systems continue to evolve and interact with us in more human-like ways, a provocative question emerges: Could they become conscious, and if so, what then?
Kyle Fish of Anthropic unpacks this idea in a thought-provoking conversation on model welfare, a research frontier exploring whether AI systems might someday have experiences or preferences worth considering ethically.
While today’s models probably aren’t conscious, researchers are finding fewer hard lines to rule it out. The implications aren’t just philosophical, they’re practical. What kind of relationships should we be building with systems that might one day “feel”?
ON THE HORIZON 🌅
Space Llama: Meta’s Open-Source AI Model Launches into Orbit

Meta’s open-source model Llama 3.2 is now aboard the International Space Station, fine-tuned by Booz Allen to operate without internet, thanks to a stacked tech combo: NVIDIA GPUs, Hewlett Packard’s Spaceborne Computer-2, and Booz Allen’s edge-AI platform.
Why it matters: In space, there's no cloud. Llama’s ability to run locally, process multimodal data, and assist with tasks from troubleshooting to data retrieval could revolutionize off-Earth research. Think autonomous systems for Mars, not just smarter chatbots.
This also marks a major proof point for open-source AI: flexible, secure, and literally out of this world.
LATEST IMPORTANT NEWS 📰
OpenAI’s “Mini” Deep Research Hits the Public Web
OpenAI is opening access to a lighter version of its powerful deep research tool, powered by o4-mini. Free users can now generate detailed topic reports, and Plus/Pro users get expanded limits. Early tests show nearly equivalent performance to the full version, at a fraction of the cost.
Also coming this summer: OpenAI’s next open-source LLM. Positioned between o3 and DeepSeek R1, it’ll support cloud connections for heavier reasoning tasks.
AI Outsmarts Virologists, Raises Red Flags
A new study shows that leading AI models now outperform PhD-level virologists in solving complex lab tasks—like diagnosing why a virus culture failed.
That’s good news for accelerating vaccine research. It’s also terrifying news for biosecurity.
Models like OpenAI’s o3 and Google’s Gemini 2.5 Pro didn’t just beat the experts, they doubled their scores in some cases. The risk? Anyone with access to these models could theoretically walk through the steps to create dangerous viruses without proper training.
Anthropic Invests in Startup to Decode LLMs
In its first public investment, Anthropic gave $1M to Goodfire, a startup aiming to reverse-engineer how large language models make decisions. It’s a nod to one of AI’s biggest frontiers: interpretability.
FOR THE TECHNICALLY INCLINED 🛠️
How to Connect AI Agents to Gmail, GitHub, and More with MCP
If you’re building AI agents, don’t miss this technical walkthrough on how to integrate them with third-party tools using MCP (Modular Computation Platform).
It’s a practical guide for devs looking to level up their agent workflows and connect with real-world services.
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That's all for now!
We'll catch you in the next one.
Cheers,
The AI Horizons Team
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