Kayode (@KayodeMusings) header
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25 years making computer systems meet regulatory requirements in clinical trials. Data. AI. Chess & Music ❤️ Building. Inferring. Living. Field notes 📓

Joined January 2009
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The people getting the most from AI aren't the most technical. They're the ones who know their information. Where it came from, and how far to rely on it. These are my field notes on doing that well.
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Claude or ChatGPT? Which plan fits you? Both start at $20. Both go up to $200 and beyond. The limits are very different. Light use. Any $20 plan. Claude Code every day. Claude Max $100. Hitting the 5 hour wall. Claude Ultra $200 or ChatGPT Pro $100. Building with the API. Any $100 plan or higher. Start at $20. Move up only when you hit the wall. Which one are you on?
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Worried AI is coming for your job? Then it's probably not the time to ask for a raise.⁣ ⁣ My literal advice to friends and family: become the best AI person at your company. You'll be the last one fired. newsletter.platypuseconomics…
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Kayode retweeted
Replying to @elonmusk
Can't go any higher up the chain. We are seeing how tech companies are dealing with brand poisoning through CEOs of the company listening and responding. The Google Ceo did the same think recently
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Are we coming into a new world order where the week days are now governed by frontier model resets?
my weekend rest only starts after my claude code weekly limit is reached.
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What about If you keep your data and hire your ai? Data (skills and notes) can always be onboarded to the AI
The question isn’t what’s the best Ai, Claude or ChatGpt. That’s a low IQ question. Whichever Ai you train most for your life will win. Can be any of the Ai companies really. Have to train it.
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If you are in the regulatory digital industry cybersecurity is more important than ever before
security architecture fundamentals are more important than ever before
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Kayode retweeted
Replying to @nima_owji
I am seeing a lot of how to's and how grokbot is amazing as a personal assistant ai. But it's not fit for use. They need to call it out. The usage credits don't last its utterly ridiculous and no one is responding. Loathe him or like him at least @thsottiaux did something about poor service at Openai
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The engineer who created dots at Openai is leaving. Be interesting to see how they stay on course or pivot with new ideas
I recently made the tough decision to leave OpenAI. It was truly a privilege to make some small contributions to the company’s incredibly massive ambition. I will be forever grateful for @embirico convincing me to join and @thsottiaux’s belief in me. The people at OpenAI were the hardest part to leave behind. I am grateful to have worked directly with literally hundreds and hundreds of the smartest people I’ve ever met — across product, engineering, and GTM. Many of the best people I know also decided to join us during my time there, further proving how magnetic the culture is. Even though I was there for a short time, it feels like the company went through 3 or 4 evolutions. I’m incredibly bullish on OpenAI because it is able to swarm on the hardest problems, move incredibly quickly, and adapt to all the craziness in the world today. I’ve always said, it’s a very non-regrettable choice to work at OpenAI, and that is more true than ever :) Im pretty bad at taking breaks, but I look forward to grinding out a couple days on Maplestory Classic and then getting back to work 🚀
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Scarey and exciting at the same time. I have opus 5.5 control of my laptop from my PC and is literally like handing over your laptop to opus5.5 unhinged and it's waiting for any instructions. I know about cloud computing and running Linux environments locally. This is different.
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Anthropic is putting an expiry date on prepaid Claude credits. Buy credits from 7 December and anything unused disappears after 12 months. Existing credits stay safe. Same money upfront. Less freedom to use it. What does the customer gain?
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Use what already works, and build only what’s genuinely missing
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Kayode retweeted
Replying to @Brian_Bo_Li @ylecun
"If you’re interested in human level AI do not work on LLMs" - @ylecun 🙀🙀🙀🙀🙀
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Grok Bot cut usage. This video shows how to make it last. 7 tips from Sharbel A: 1. See where usage goes 2. Slow your routines 3. Start fresh chats 4. Batch requests 5. Use connectors 6. Words, not images 7. Script repeat jobs youtu.be/vR5lzCWpp6o
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Try this prompt. "Set goals then give results be autonomous"
Your goal of using a personal Al assistant should be to stop the back and forth chat. Minimum human intervention maximum intent result match.
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Your goal of using a personal Al assistant should be to stop the back and forth chat. Minimum human intervention maximum intent result match.
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Take an idea. Rubric it to find the weak spots. Red-team it to uncover what you missed. Claude-arena it to compare different approaches. Then test the strongest version in the real world.
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wtf is an agent harness. An agent is a model plus a harness. Model reads the context and picks the next action. The harness is all the code that turns that choice into work. Claude Code, Codex, Antigravity, OpenClaw and Hermes Agent are all harnesses. 8 common parts every agent harness shares: 1. The loop • Sends the context to the model and runs whatever tools it asks for • Feeds the results back in for the next step • Decides when the task is finished 2. Tools and sandbox • Give the model a terminal, files, a browser and your connected apps • Run every task inside its own isolated computer • Keep the damage from a bad command inside the sandbox 3. Subagents • Take side tasks off the main agent and run them in parallel • Start each one with a fresh context window • Send back only a short summary, so the main context stays clean 4. Context management • Decides what the model sees on every turn • Loads skills and files only when the task needs them • Summarizes old history before the context window fills up 5. Memory • Stores progress notes, git history and skills on disk • Lets a new session read what the last one did • Picks the work up where it stopped 6. Guardrails • Hold risky actions like emails, payments and deletes for your approval • Keep real credentials outside the sandbox • Give a prompt injection no credentials to steal 7. Verification • Stops the agent from handing you a summary that only sounds finished • Runs tests, browser checks or a separate grader first • Lets the agent call the task done only after those checks pass 8. Observability • Traces every model call and tool call • Spots the agent repeating the same failed edit • Pushes it to try a different approach follow @Saboo_Shubham_ for more on Agent Harness.
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