Turn AI Hype into Real Business Results

Joined June 2012
HAI Insights retweeted
I’ve found the most important part of working with Fable is discovering my own unknowns so I can prompt it better, heres how I do that.
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HAI Insights retweeted
GAI World 2026 celebrates corporate leaders who have moved GenAI from concept to production, and @FreshworksInc is a perfect example of that. We're proud to welcome Freshworks as a Silver Sponsor. They build powerful, AI-enabled service software that helps 74,000+ businesses deliver scalable employee and customer experiences, exactly the kind of in-production GenAI leadership we celebrate at GAI World. Join us September 28-30 at the Hynes Convention Center in Boston to see what's possible when AI moves from pilot to production. 👉 Register at gaiworld.com?utm_source=link… #GAIWorld2026 #GAIWorld #GenerativeAI #AIInProduction @PaulBaier @jjsviokla
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HAI Insights retweeted
When the most capable model on Earth vanished in three days #fable open.substack.com/pub/genait…
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Read about OpenAI's deployment co along with repurcussions of labeling AI tools as employees as organizations grapple with adopting the newest AI tools. substack.com/@genaianalyst/n…
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$7B in PE-backed joint ventures from @AnthropicAI and @OpenAI in the same week. They are not selling models anymore. They are embedding engineers inside portfolio companies. The distribution layer is the product now. Read more in my substack. #PrivateEquity #LLM #GenerativeAI
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OpenAI Is Fumbling Its Way to an IPO, and Enterprise Buyers Are Absorbing the Cost OpenAI appears to be shipping out of fear rather than strategy. Five product launches in five days, a flagship feature deprecated with no migration path, and a new model that doubles the price.
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None of this suggests a company that is talking to its enterprise customers before making product decisions. It suggests a company racing to show growth metrics ahead of an IPO, and treating its installed base as collateral. #LLM #pricing #AIAgents
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The Hidden "Efficiency" Tax: New models like @AnthropicAI @claudeai Opus 4.7 use tokenizers that can consume 35% more tokens for the same input, while "thinking harder" in agentic settings to produce even more output tokens. #usagebasedpricing #tokens #LLMs
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Major vendors like Anthropic are actively dismantling flat-rate models, moving large customers to a base seat fee plus metered API rates per token. Check my substack at: open.substack.com/pub/genait…
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The Token Reckoning Arrives
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