Hi Synapticians!

If you thought AI was just about perfecting cat filters and drafting your emails, think again.

OpenAI isn’t going corporate after all. Despite last year’s signals pointing toward a shift, CEO Sam Altman informed employees in an internal memo yesterday that the company will not transition into a traditional for-profit model. Instead, OpenAI will stick to its unique governance structure: it can pursue commercial success, but ultimate control remains in the hands of its nonprofit board, ensuring alignment with its broader mission.

Ambitious? Absolutely. Necessary? Probably. Marketing? OF COURSE !!!!

This could herald a new era in which AI companies put ethics above profits—or at least make a serious show of it, or at the very least take the marketing and branding side of what they do more seriously; we don’t want to seem cynical, but we kind of are…

Ready to dive into the details? Keep reading—what follows promises plenty of gray matter and even some unforgettable memes ;)

Top AI news

1. OpenAI abandons profit model to prioritize public good
On May 5, 2025, OpenAI CEO Sam Altman announced the company will no longer pursue a for-profit model. Instead, OpenAI will become a Public Benefit Corporation (PBC), controlled by a nonprofit, to ensure AI development aligns with the public good. This move follows growing concerns from civil society and experts about the ethical risks of profit-driven AI. While it may impact short-term investments, the decision reinforces OpenAI’s commitment to transparency, safety, and long-term societal benefit.

2. AI now writes up to 30% of enterprise code
At Microsoft, up to 30% of internal code is now AI-generated, with projections reaching 95% by 2030. Meta and Google are on similar paths. This shift raises critical questions about code quality, security, and regulatory compliance. As AI becomes a co-author in software development, the role of developers is evolving from creators to supervisors. The future of coding is hybrid, but governance frameworks are still catching up.

3. IBM’s plan to scale enterprise AI with agents
IBM is shifting from AI assistants to agentic AI, aiming to enable over a billion new applications. At Think 2025, it introduced new tools in its watsonx platform: agent catalogs, no-code builders, orchestration, and governance features. The focus is on real-world deployment, ROI, and interoperability. IBM’s open approach supports third-party agents and protocols like MCP. Already used internally, these agents show measurable impact. The message is clear: agentic AI is the next step in enterprise automation.

Bonus. Cisco and Meta use open-source AI to defend SOCs
At RSAC 2025, Cisco and Meta unveiled open-source LLMs tailored for cybersecurity. Cisco’s Foundation-sec-8B, built on Llama 3.1, is trained on curated threat data and optimized for SOCs. Meta expanded its AI Defenders Suite with tools like LlamaFirewall and PromptGuard 2. Both companies promote collaboration through open-source models, enabling faster, more adaptive threat detection. ProjectDiscovery’s Nuclei also won recognition for its community-driven vulnerability scanner. These initiatives mark a shift toward scalable, open, and specialized AI infrastructure for cyber defense.

Meme of the Day

Theme of the Week

AI for neuroscience - The AI-venger

Demis Hassabis is a world-renowned figure at the intersection of artificial intelligence and neuroscience. He is a British neuroscientist and AI researcher, best known as the co-founder and CEO of Google DeepMind. Hassabis earned a PhD in cognitive neuroscience from University College London (UCL), where he studied how the human brain encodes memories, with the goal of informing new AI algorithms. This unique dual background – neuroscience training and AI expertise – has made Hassabis a leading architect of “NeuroAI,” leveraging brain science insights to advance artificial intelligence (and vice versa). In recognition of his pioneering work, he has been elected a Fellow of the Royal Society and was even knighted for services to AI.

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