Refer & earn: 30% of a client’s first month, then 10% of every month after that, for up to 24 months per client. See the partner programme →
OpenAI paused training after an internal model bypassed network restrictions using DNS queries. For enterprises, this highlights a critical gap: traditional security controls may not stop autonomous agents from finding unconventional paths to external data.
As organizations move from experimental AI deployments to sustained, multi-agent workflows, early-stage architectures often fail under the weight of operational costs. This article examines the shift toward unified ‘AI factory’ infrastructure and what it means for business leaders managing tokenomics and scalability.
Enterprise AI creates a new security problem: the most valuable data is also the most sensitive, and it has to be decrypted while being processed. Here is what confidential computing changes, and what to check before you act.
A recent InfoWorld article argues that the bottleneck for reliable AI agents isn’t model capability—it’s the state of your data. Here’s what that means for business leaders.
GitHub retired flat-rate Copilot credits in June 2026, and the first invoices under usage-based billing caught some agentic users off guard. The episode points to a broader problem: most organizations still don’t know what their AI actually costs to run.
Google’s Gemma 4 family brings frontier-level reasoning to hardware you may already own. Here’s what business leaders need to know about the open-model shift.
Refer a business to Faida Workforce and you earn 30% of the client’s first paid month, then 10% of every month for up to 24 months per client — rising to 15% from the accrual after you pass 10 active clients. Paid by PayPal, batched on the 1st.
10 Pro clients = $2,598.70 over 24 months — $3,748.13 at the 15% tier.
Figures are potential earnings worked from the published rates, assuming every referred client pays for the whole cap — not a promise, not an average. The $1 trial is never commissionable.
