Watch real customers struggle before you write the test, because you can't grade something properly until you've personally seen what failure looks like.
The Cybersecurity #Leadership Handbook for the #CISO and the #CEO
An essential read for all #leaders around #cybersecurity, looking beyond the #technology horizon, into the real dynamics of #security transformation
UPDATED edition now available here >> https://t.co/9KuKbo0KX1
this is f*cking gold
four loop shapes. running, they all look identical.
they differ in one thing: what is allowed to end them.
> turn based -> a prompt, the model checks itself, stops when it decides it is done
> goal based -> add an evaluator, stops when the score clears or the try cap hits
> time based -> add a clock, stops when you cancel it
> proactive -> take yourself out, it does not stop until you switch the routine off
number two is the one worth stealing.
the evaluator exists to refuse "i'm finished."
the model tries to stop. something else sends it back to work.
/goal reach 90+, stop after 5 tries.
number four is the one that changes your week.
event fires -> agent works -> PR opens -> you review.
you are in that chain exactly once, at the end.
a chat window needs you awake for every single turn.
everyone picks a loop by what starts it.
wrong end of the machine.
pick by what stops it.
here is how you can turn one AI workspace into a full creative production system...
188 models across image, video and audio, all accessible from one prompt bar instead of jumping between different tools
route every step to the model that actually fits the job, then move from brief β image β video β audio β edit β review β export
11 separate subscriptions β one credit balance and a single creative pipeline
no endless exports, no scattered assets, just the models and handoffs you actually need for the campaign
βWe can keep complaining, we can blame social media, or we can actually jump on board.β
Dr. Yazan Aljabery, Cardiac Surgery Consultant and Assistant Professor of Surgery at Cleveland Clinic Abu Dhabi, addresses a growing challenge for healthcare professionals: how to communicate credible medical information in a digital environment shaped by Instagram, TikTok, and YouTube.
His message to healthcare professionals? Be where people are, speak in language they understand, and work to rebuild trust between doctors and patients.
From the Healthcare Leaders Summit in Abu Dhabi.
π₯: @Forbes_MENA_@CCAD
#TheForbesMiddleEastHealthcareLeadersSummit #ForbesMiddleEastEvents #ForbesME #AbuDhabi #FutureOfHealthcare
π¨ THE ANATOMY OF AN AI AGENT
AI Agents are more than just an LLM.
They need 5 key components π
π§ Memory
Keeps short-term context and long-term knowledge.
π οΈ Tools
Search, code, files, APIs, and external actions.
π Agent Loop
Perceive β Plan β Act β Observe β Repeat.
π‘οΈ Guardrails
Validate actions, control scope, and manage budgets.
π€ LLM
The reasoning layer that plans, reflects, and decides what to do next.
Put them together and you get an AI system that can reason, use tools, remember context, and take actions.
Save this visual if you're learning AI Agents. π
π¨ BREAKING: NOTEBOOKLM JUST CHANGED THE GAME.
One prompt. Multiple outputs.
π Analyze raw data
π Find missing info
π₯οΈ Create PowerPoint
π Generate Excel
π Build PDF reports
No more hours of manual work.
π See how it works:
π Bookmark this.
This tool turns OSINT investigations into a visual map.
Meet Flowsint.
It helps you connect domains, IPs, subdomains and other entities in one interactive graph.
You can:
- Map relationships between entities
- Resolve domains to IPs
- Discover subdomains
- Run data enrichment workflows
- Explore connections visually
- Build repeatable investigation flows
Instead of jumping between dozens of tools, you can see the connections in one place.
Official website:
https://t.co/QDD84wGWzU
Documentation:
https://t.co/6GmQoh8TKL
GitHub:
https://t.co/LqroIGm5Pc
Useful for OSINT researchers, cybersecurity analysts, investigators and anyone working with complex connected data.
Use it only for authorized and lawful investigations.
Follow @ArifAIHQ for more useful AI, cybersecurity and tech tools.
Google just gave AI the ability to physically control your Android phone.
ARTEMIS is live. Open-source. And it's already hitting 99%+ success on real mobile tasks.
No scripts or automation tools. Just pure natural language.
Tell the AI what to do and it navigates the phone exactly like you would.
Open apps. Test login flows. Tap buttons. Capture screenshots. Detect crashes. Run entire multi-step workflows without touching the device.
The wild part is ARTEMIS works through MCP.
Meaning Claude Code, Codex, Windsurf, and every other AI coding agent can now interact with actual Android hardware.
One prompt: "Build the APK, install it on the test phone, open the login screen, run through authentication, check for unexpected popups, screenshot every step."
The AI executes everything. On the real device. Google's benchmark shows 99%+ task completion on Android World.
This is where mobile development and AI testing just collided.
GPT-6 ASTRA JUST TURNED ONE AGENT CREW INTO 20+ BUSINESS WORKFLOWS
one coordinator can route research, sales, support, compliance and engineering without spinning up a separate agent stack for every job.
objective β specialist β tools β guardrails β human review β output
multi-agent runs can burn roughly 15Γ more tokens than normal chat, but parallel research has cut complex task time by up to 90% when the branches are actually independent.
one real sourcing system replaced about $12,000 of analyst work with roughly $200 in compute, while its internal evals climbed from 25% β 60% β 85%.
the interesting shift is not βmore agents.β it is one reusable operating layer that changes skills, tools and permissions depending on the job instead of rebuilding the workflow every time.