Pascal's Chatbot Q&As
Because isn't AI the best 'person' to ask about AI? 🤖
Archive
AI-era competitive failure may come not from lacking powerful technology, but from refusing to accept machine-generated evidence when it threatens established products, structures, incentives, beliefs
Combining Levitt's view and Porter's analysis shows how companies can see markets, substitutes and competitive forces changing yet remain institutionally unable to respond.
Why OpenAI Paused Its IPO: Altman’s timing also coincides with a perfect storm of challenges. Soaring development costs and losses, cooling markets...
...fierce competition (Anthropic rushing to market) and rising public and regulatory scrutiny of AI and its infrastructure. The fallout has certainly gone beyond the boardroom debate.
The Harvey episode shows how a specialist legal AI can produce a polished, authoritative-looking document while containing serious hidden errors in law, citations, currency, scope & procedural status.
This is systemic across high-stakes AI: retrieval and strong models reduce error but do not guarantee that long, complex outputs are correct, internally consistent or properly grounded.
The psychology of refusing superior advice. When the Machine Is Right and We Still Say No. Private truths: when the answer threatens the self.
In domains where systems become demonstrably superior, the harder question will be whether humans are willing to live with what superior prediction reveals. The answer will often be no.
Prompt: Should C-level execs facing the AI era ask powerful AI models the following questions, and if so, why? 1. “Am I right by making the following statement?
2. “Is there use in building and deploying the following application, service or platform?” ChatGPT, Gemini and Claude provide their views...
CXO Data Summit Europe 2026: AI itself is becoming less exceptional. What matters is everything an organisation has to build around it. Hard to purchase: clear executive accountability,...
...managers capable of changing behaviour, and an organisational architecture flexible enough to allow work to flow across conventional departmental boundaries.
From Training Data to Market Substitution: Why the Seattle Times–Newsday Case Could Be a More Dangerous Copyright Case for OpenAI and Microsoft.
It appears to have been drafted after watching several years of AI copyright litigation and learning which arguments courts have accepted and rejected.
AI’s benefits and harms will depend on who owns the technology, who has bargaining power, and whether productivity gains are broadly shared. Evidence supports real risks...
...to entry-level work, wages, inequality and communities hosting AI infrastructure, although claims of imminent mass unemployment are being made with more certainty than the evidence supports.
AI shutdown stops being a reliable universal control by roughly 2027–2032, arriving unevenly across systems. The durable response is not a bigger kill-switch but more independent chokepoints.
Model-weight security, compute governance, and zero-trust agent architecture — so that weights, credentials, money, compute, and network access each remain separately revocable.
Agentic AI: enterprises need to measure the fully loaded cost per successful business outcome, including retries, external tools, human intervention and failures hidden inside apparent successes.
GPUs can deliver poor returns when storage, data pipelines and orchestration cannot keep them productively supplied. Making token throughput, latency, utilisation and token-per-watt critical.
Silicon Valley genuinely does have a documented, decades-old cultural streak that favors simplification and treats friction as a bug to engineer away.
If frictions go unconfronted, the costs are a market correction, misallocated capital, higher power bills and public backlash, grid instability, and unreliable AI deployed where it can do real harm.
Mayor Zohran Kwame Mamdani and Schools Chancellor Kamar H. Samuels today announced a moratorium on student-facing genAI use in schools...
...alongside a new screen time policy, a decision that will impact nearly 600,000 public school students, or two-thirds of the system’s total enrollment.