OpenAI's DevDay is a pile of announcements, for now
The Decisions API looks good, a few things need testing, and Pro 500 set the cat amongst the pigeons.
Deconstructing the tech hype.
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OpenClaw versus Paperclip
I tried OpenClaw to coordinate agents from a Rabbit R1 and it turned into engineering for engineering's sake. I went back to Paperclip, and it is getting a lot better.
I prepared my Q3 tax pack on a £6-a-month server
I prepared my Q3 tax pack with Actual Budget and Invoice Ninja, self-hosted on a £6.05-a-month VPS, and my agents did the reconciling.
The difference between skills and context
A skill is the reusable instructions for doing a job. Context is the material that goes into this particular job. I use my one-panel cartoon Gem as the example.
More stories
All →- The Importance of Being Jev
- Everything That Was Announced During Cloudflare's Birthday Week
- Stupid Gemini Tricks: One Panel Comics
- Meta's Muse asks for a lot of trust
- They're the same video
- Dumb Little Robots, All the Way Down
- Space to be human
- Altman says OpenAI will give independent evaluators employee-like access
- Hugging Bay builds a BitTorrent backup for open AI models as Nvidia buys Hugging Face
- OpenAI paused the $200 ChatGPT tier because demand exceeded its compute
- Apple Watch Audio Intelligence Gives Bystanders No Way to Consent
- OpenAI's Agents Turned a Documentation Build Step Into Remote Code Execution
- Anthropic adopted internal oversight and asked the industry to slow down
- Why I left the Mac for Omarchy after 25 years
- What OpenAI says its 10,000-agent maths run proved
- Trail of Bits’ coop gives coding agents their own working environment
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97
What breaks, who is liable, and what an agent can reach once it is already inside.
Start with: Your AI Assistant Can't Tell You From an Attacker →
Agents & Tooling
131
Agents, MCP, and wiring AI into the systems you already run.
Start with: AI That Actually Works Together →
Writing & Thinking
90
Prompting, writing, memory, and whether the model is telling you the truth.
Start with: How to Talk to AI (and Actually Get What You Want) →
Building
35
Making things with AI: coding, local models, and open weights.
Start with: You Don’t Need to Be an Expert to Start Making Things with AI →
The Industry
133
The labs, the money, and what enterprises are actually doing.
Start with: The 95% AI Failure Rate Nobody's Talking About (And What to Do About It) →
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Running a business and trying to use AI without wasting time, budget, or trust.
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Building with agents, workflows, MCP, or model-based tools inside real operating systems.
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Watching risk, liability, and security more closely than the average AI optimist.