AI should make work less mechanical. If it ends up tracking mouse clicks to judge people, we took the dumbest route. Meta reportedly heard staff pushback and scaled back: https://t.co/YicMSqZhsG
Where is your red line?
#AI#Privacy
I agree with Sean: prompts are technical debt too. They decay silently with every model upgrade. Keep AGENTS.md files concrete, reviewed, and easy to delete.
https://t.co/ZMDW6Shwmn
What prompt should you delete?
#AI#LLM#TechDebt
Most software quality problems are workflow problems wearing a tooling hoodie. If security and QA only show up at the end, the bug is already expensive. Move the checks left, but keep humans in the loop. What has saved your team most?
#DevSecOps#SoftwareQuality#QA
Opus 4.8 looks good, but I would not make it my default:
https://t.co/a7KotiLVlf
Close on coding, much higher cost. My recommendation stays: GPT-5.5 low for everyday work, GPT-5.5 high for harder planning/coding.
What is your default model this week?
#AI#LLM#OpenAI
I care less about AI that talks well and more about AI that helps people discover something new. Google's Gemini for Science fits that better than most launches. https://t.co/vL0BO8Mlw3 What would you try first?
#AI#Science#GenAI
Google is calling it the 'agentic Gemini era' https://t.co/7BrGIhXMu6 That means the race is moving from chat to action. Demos are easy. Reliable agents are hard.
#AI#GenAI#Agents
Would you trust one with real tasks?
Kubernetes 1.36 feels like a grown-up release https://t.co/rrvYKnW6Cf User namespaces hit GA, AI scheduling got better, and the security story improved. Which feature would make your next upgrade easier?
#Kubernetes#DevOps
CBS says AI drove 26% of April layoffs: https://t.co/yrbtvqlgOF That does not prove jobs disappeared. It proves budget is moving from payroll to GPUs. Who feels this first: juniors or middle managers?
#AI#Jobs#Tech
Karpathy joining Anthropic is more than a hiring headline: top talent is clustering where frontier model research can still move fastest https://t.co/7DpBvxPgTZ The race now is for researchers, not just GPUs. Agree?
#AI#LLM#Anthropic
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
The New Stack put it well: when AI can spit out 100K lines fast, QA becomes the whole job https://t.co/XpkPX6THKa Speed without verification is just faster risk. Are your tests keeping up?
#QA#DevOps#AI
arXiv will ban authors for a year if a paper includes obvious unreviewed LLM junk, like fake references or leftover prompt text: https://t.co/eb5yUYAbUO
Good rule. If your name is on it, you own it. Fair?
#AI#Research
If you, like me, have spent many hours evaluating what's the best AI model for local use, I can save you some time:
https://t.co/eF7rcl7V8W
#ai#agi#chatgpt#anthropic#openai#llm
GitHub pushed secret scanning into MCP workflows: https://t.co/R0f05d0Mak If agents can write code, they should also catch leaked keys before merge. That's real DevSecOps. Agree?
#DevSecOps#AppSec#GitHub
AI agents are reducing the value of polished IDEs, and JetBrains took the wrong turn with AI support: "our tools do it better." They didn't.
Glad to see them willing to pivot:
https://t.co/cdZ8nl2Ebp
#Software#AI#Developers#Coding#AGI
GitHub Copilot released their billing preview calculator today, 17 days before they move to usage-based billing:
https://t.co/DMreFwbzph
We ran our own numbers through the calculator:
350% more expensive🫣.
Currently, completely pointless staying with Copilot.
TechCrunch: https://t.co/LaDg7sFhQn Once AI starts replying inside the thread, its no longer just a tool. Its part of the conversation. Useful or exhausting?
#AI#SocialMedia
AI promised to save time, not make the power grid tap out. TechCrunch says PJM is under strain from data centers and AI. We wanted smarter software, not laptops that come with a utility-scale side quest. Worth it?
#AI#Energy#Tech