Speeding up Symbolic

Here is a short list of recent notable AI developments that we think professional writers and publishers should be paying attention to:

Software's Nuclear AI Moment? Global software stocks have been under pressure for months, and this week they suffered a significant further drawdown as the risk of AI disruption looms. The bear thesis is that a combination of AI coding tools and agents will enable the replacement of expensive software. Although we are an AI disruptor, we think this risk is significantly overblown.There’s a vast difference between vibe-coding a demo and building an enterprise service that must be performant, secure, continuously updated to reflect evolving technology, seamlessly integrated into existing workflows, and capable of serving as a reliable system of record. Companies can theoretically replicate many things in their supply chain, but successful companies focus on things that create differentiation and value.

Clawdbot 2 Moltbot. An open source project is creating buzz as a preview into the future of agents. It can run local general purpose agents with memory that execute complex tasks. We have tried it, and there are many execution and customer experience issues, but if you squint you can get a glimpse at how agents may operate in the future. Agents will be important to Publishers, but we believe that they will be optimized for specific tasks and the actual work of the industry. Stay tuned.

Google Pulls Some AI Summaries. Google pulled some AI summaries after a Guardian investigation showed that the summaries were providing dangerously incorrect medical information. Publishers are undoubtedly asking whether other categories will be pulled, and our best guess is "doubtful, absent significant legal exposure".

And here's what's new in Symbolic:

Speeding Up Symbolic

Symbolic has recently completed a significant architectural migration in order to speed up the performance of its customer interface and experience. If you click around between sections, projects, and menus, you will find that many actions are now in the sub 250ms range, and the services that require inference calls to models are usually sub 2 seconds (this is model dependent). Part of this effort has been adding monitoring tools that provide us with near real time intelligence on any service issues, so that we can quickly intervene and inform our customers when necessary.

We will continue to employ every means at our disposal to create lightning fast, stable user experiences.

That's it from us this week. We are always working to improve Symbolic and make your experience more efficient and enjoyable. We would love to hear your feedback and any suggestions you may have for future updates. Don't hesitate to reach out to team@symbolic.ai.