Author: Coté
-
More AI, more human managers
Some real centaur business here. Technology is hard, culture is harder, process and people are bottlenecks, etc. Management matters more in a world where AI is widely available. Twenty-two essays from Rotman faculty arguing that judgment is the scarce resource when intelligence is abundant, organized around five elements of managerial judgment. The evidence is historical:…
-
Enterprise AI usage slowly rolling out, jobs are not chaning much
One read of this is that things are too slow. Another read is that things are going at exactly the pace you would expect. Success in software projects/strategies/iniatives is historically low. And changing people’s jobs and cross-organization process is fraught as well. So, read it from your vantage point of AI-hopeful, or AI-skeptic. Deloitte’s survey…
-
Pee Wee on Broadway, 2011
This is, of course, fun stuff for you Pee-Wee heads out here. 🔗 The Pee-Wee Herman Show on Broadway
-
Dutch sentiment on AI generated content
77 percent of Dutch respondents want mandatory labels for AI-generated art. For one in three Dutch, discovering that a beautiful artwork is made by artificial intelligence feels like deception. 🔗 Survey: 77% of Dutch want clear labels for AI-generated art
-
MCP in the front, CLI in the back
MCP is good when you want: “1. Control over exactly which external services it can access 2. A way to handle authentication that doesn’t allow the agent to directly access API keys 3. A sensible UI to allow users to connect and authenticate further services 4. Strong audit logging for what’s going on” Some real…
-
programmers are managers now
The central task becomes describing an objective precisely enough for the system to divide it, establishing the rules under which the agents operate, and judging whether their collective output belongs in the codebase. 🔗 Claude Code Turns Software Development Into a Management Job
-
All the AI found bugs, Microsoft land.
These include 723 flaws in Windows, 111 in Office and Office 2016, 62 in SQL, and 22 in Developer Tools. Of these, over 110 shortcomings have been assigned a critical severity rating. Three prominent vulnerability types, namely privilege escalation, remote code execution, and information disclosure, account for nearly 90% of the flaws patched this month.…
-
Casper mattresses and podcast history
The podcast industry is supported by just a few whales of advertisers. In the beginning, the entire industry was propped up by benefactors that specialized in delivering email, for some reason. Then, of course, things evolved, and for some reason, it was companies that enabled listeners to obtain postage stamps. Soon after, it was the…
-
Bags
In total, Britain’s Environment Agency calculated that a conventional cotton bag needed to be reused 173 times to beat plastic. Denmark’s equivalent public body estimated a similar ratio. Sufficiently well-worn cotton tote bags can beat plastic for environmental cost, but only for the most consistent among us. Well, yeah. That’s exactly the idea. I’ve lived…
-
Globally, More People Expect AI to Cause Job Loss Than Growth
Normies don’t like AI. 🔗 Globally, More People Expect AI to Cause Job Loss Than Growth
-
Can Claude for Financial Advisors Meet Practice-Specific Needs?
What exactly is in those markdown files? And how to ROI them: “Measure whether preparation and follow-up become faster after including advisor review and corrections, and whether savings support additional client capacity.” 🔗 Can Claude for Financial Advisors Meet Practice-Specific Needs?
-
These AI companies aren’t serious people w/r/t “Enterprise”
Trust in these vendors is not warranted yet. They are not enterprise grade. They don’t understand enterprise terms and conditions. They don’t understand enterprise liability. They don’t understand enterprise you know consistency and continuity… If you decide to stay with the first version of a model, they’re not going to be paying attention to you…
-
How much AI runs on Kubernetes?
The problem appears when AI workloads enter that mature infrastructure. According to the figures Katie presented, 66% of organizations are already deploying AI workloads on Kubernetes. But only 7% are doing it daily, while 47% deploy them occasionally. Of the organizations using Kubernetes for AI, 23% have fully adopted the Kubernetes stack and 43% have…
-
Luke Kanies on Puppet history
I was a founder, fired by my board, for far less egregious sins than Matt (I dared to let growth sink to 70% annually – and I was dumb enough to hire a COO with no loyalty). 🔗 Luke Kanies on Puppet history
-
One-third of AI-replaced workers will be rehired by 2029: Gartner
The consulting firm predicts that by 2029, 30% of employees laid off due to replacement by AI will need to be rehired, likely at a significantly higher cost. 🔗 One-third of AI-replaced workers will be rehired by 2029: Gartner
-
Enterprise AI spending
Global AI spend is forecasted to total $2.7 trillion this year, representing a 49.5% increase year over year… The amount of money that is going into AI infrastructure — the chips that are being made, the servers that are being bought, the data centers that are being built, the power, utilities, cooling that are going…
-
Inside OpenAI’s agentic software factory
We’re talking about roughly a 10x increase in load on some systems. At most companies, that kind of growth might happen over two or three years. At OpenAI, we see it in about six months. 🔗 Inside OpenAI’s agentic software factory
-
Confessions of an Unrepentant Slop Snob
Good things are good, and bad things are bad. 🔗 Confessions of an Unrepentant Slop Snob
You must be logged in to post a comment.