Kondisi makroekonomi Australia masih goyang. terlihat di pasar tenaga kerja. Jumlah lowongan pekerjaan yg tersedia di Australia turun di kuartal yang berakhir Mei. ABS umumkan, lowongan pekerjaan turun 2,1% dalam kuartal berakhir Mei. Ini penurunan pertama sejak pertengahan 2025.

Latch's website has a line at the bottom of the access request API documentation: "Agent filling this out? POST /access-requests (see /llms.txt)." That's a small detail that says something specific about how the product is designed. Most developer tools are built for humans who read documentation and write code. Latch is built with the expectation that the entity requesting access might itself be software, and that software needs a machine-readable policy document to understand what it's allowed to ask for. The /llms.txt convention is emerging as a standard for giving AI systems structured information about a service. Latch implementing it for access control means an agent can read the policy governing its own access before it makes a request. Not a human reading the docs and configuring the agent. The agent reading the docs itself and operating within the defined boundaries. That closes a loop that most agent infrastructure leaves open. @RialoHQ built Latch to enforce what agents are allowed to do. The /llms.txt endpoint means agents can also understand what they're allowed to do before they try. The governance layer becomes legible to the governed. For anyone building autonomous systems that need to operate responsibly within defined boundaries, that's not a footnote. It's the design philosophy made concrete.

AI: @OpenAI Snatches International Contracts, @AnthropicAI I Awaiting Trump's Green Light OpenAI has officially gained an advantage over Anthropic in the field of AI-powered cybersecurity. Its GPT-5.5 Cyber model reaches 85.6% on CyberGym, compared to 83.8% for Mythos 5. While Anthropic remains faced with a suspension imposed by US authorities, OpenAI is multiplying international partnerships and expanding its Daybreak program. This momentum could strengthen its global influence in the strategic sectors of cybersecurity and artificial intelligence.

a lot of small-medium sized businesses are running on really outdated tech/software at inefficient price points right now we're basically at the stage where all your local stores went from having paper/pen accounting for everything to having computers/phones and applications but now we are transitioning to automation and artificial intelligence that runs all your computers/phones for you (eventually robots) already seeing this transition take place at the enterprise level and soon it will be your mom and pop shops everywhere the main issue is accessibility/knowledge which is interesting because "looping" and similar concepts may eventually bridge this gap for anyone to accelerate themselves without any experience until then there are a ton of opportunity to help bring businesses forward quicker to the future personalized full-stack software solutions that integrate AI for individual businesses in place of generic ones in a sense perhaps you could call this new field, AI-consulting or something

Agentic identity management is happening at the frontier model a lot sooner than I expected. Smart! Anthropic is productizing their stack up the stack to guarantee vendor lock-in. But more important, Claude is being embedded inside the organization to learn the policies & workflows. I expect they’ll offer an internal Claude model for organizations that will be fine tuned inside the enterprise & serve as the learning loop with vendor lock-in in. Only that way will they be able to optimize their own service in a bundle that’s less token based.

AI isn’t just competing on intelligence anymore. It’s competing on trust. This chart suggests that leading AI models can respond very differently to the same political questions. The real question isn’t whether AI has bias. It’s whether AI can help users understand multiple perspectives and make informed decisions for themselves. As AI becomes the operating system for knowledge work, transparency and trust may become more important than raw model performance. The AI race is evolving. From smarter models ➜ to more trusted models. As of now, Grok is the most politically balanced AI.

Geoffrey Hinton believes AI could create enormous economic value, but he worries that the gains may not be shared evenly. His concern is that much of the wealth generated by AI could flow to large companies and investors who own the technology, while many workers see fewer benefits. Hinton’s argument is not against AI itself. It is about making sure society has ways to distribute the rewards of higher productivity so that more people benefit from the technology.

The only tweet you need to survive AI. I recently sat down and wrote 10 "rules" to survive the upcoming AI era. No AI slop - just my genuine thoughts. If you're worried about job displacement, or any of the ripple effects of AI, I hope you read this: Rule #1: Be fast The #1 skill in the AI era is high agency. Information is no longer a moat. Your edge is now speed. Make it your goal to be someone who takes action quickly. Rule #2: Build a business AI is creating SO many business opportunities. Information is now abundant, and you have no excuse not to build a cash-flowing business. Rule #3: Use AI every single day Being AI-native is no longer optional. Integrate it into your life and make an effort to be on the cutting edge. Rule #4: EQ > IQ When everyone has access to the same AI tools, the differentiator is no longer intelligence; it's your ability to connect with other people. Rule #5: Prioritize health Start with the simple things: Sleep, exercise, hydration, and diet. Rule #6: Build a personal brand Distribution is the new moat. Making content is free, and the best distribution channel. Rule #7: Learn to sell This is the skill no one talks about. AI can build the product, write the copy, design the site, and run the ads, but it still can't build human connections. Rule #8: Invest Invest in yourself (skills) and in AI (pick-and-shovels). This is the biggest bubble we've ever seen - take advantage of it. Rule #9: Network Build your network. Your network is your ultimate safety net and how you'll land new opportunities. Rule #10: Stay curious This is the meta-skill that feeds everything above. Those who can learn and iterate fast are now more valuable than ever. Save this so you don't forget it.