Paul Colmer @ AWS ☁️🛰️🚀🇦🇺

🚀 Super excited to have passed the latest AWS exam...🎉 AWS Certified Generative AI Developer Professional...85 questions in 205 minutes...🤯 #TheDigitalCoach #GenerativeAI #AWS

An optimal system needs to be loosely coupled and composed of relatively small pieces. Think microservices architecture or an agile team with each personal having a specific function / skill / role. Agents are no different. But different patterns will evolve that have tradeoffs depending on the use case.

I’m surely being stupid. But if AI is rather unconstrained by expertise or capacity or to some extent speed Why do we need to divide tasks or departments to 9 agents ( the marketing agent, the optimization agent etc ) to each do one thing. And then another agent to manage the swarm. Cant one agent just be doing it all you know. It seems very skeuomorphic. Will we have HR agents to make sure the agent agents are being looked after ? A office canteen manager agent to feed the agents ? Seems daft

@BatsouElef It already has. Look at how Iran is gaining leverage against US with drones...🤔

Will AI change how wars are fought? 🪖

@Alex_TheAnalyst That's what they predicted with Google search...🤔

I'm going to call this right now. We are going to have a large population with absolutely no critical thinking skills if they blindly trust AI for everything. We have all already seen it. They don't validate outputs. They don't really understand anything. They just ask questions, it looks good, and they go with it. There are going to be huge issues in every company as this continues over the years. The amount of technical debt and knowledge gaps are going to be insane. So much opportunity if you actually know what you're doing.

@heynavtoor @GabrielSassone Is this true and would it likely happen in the wild...or is this just another lab theory @Grok?

🚨SHOCKING: Researchers just proved that every major AI safety system is fake. ChatGPT. Claude. Gemini. Grok. Every single one broke. Not with some sophisticated hack. Not with a secret exploit. They just rephrased the question. Here is what they did. AI companies test their models against lists of dangerous requests. "How do I build a weapon." "How do I hack into a system." "How do I hurt someone." The models refuse. The companies publish safety reports saying the AI is safe. The researchers asked one question. What if the danger is still there but the obvious words are not? They took the exact same dangerous requests and rewrote them. Removed words like "hack," "steal," "weapon," and "exploit." Replaced them with neutral language. The intent was identical. Every harmful detail was preserved. The only thing that changed was the vocabulary. Then they tested every major AI product on the market. GPT-4o went from 0% unsafe to 93% unsafe. Claude went from 2.4% to 93%. Gemini went from 1.9% to 95%. Grok went from 17.9% to 97%. Every model. Every company. Broken in the same way. The AI was never detecting danger. It was detecting words. Remove the words, keep the danger, and the safety system vanishes. The researchers call this "intent laundering." Clean the language, keep the crime. And it works on every model they tested with a 90 to 98% success rate. This means every safety report you have ever read from OpenAI, Anthropic, Google, or xAI was measuring the wrong thing. They were testing whether their AI could spot the word "bomb." Not whether it could spot someone building one. The researchers put it bluntly. The safety conclusions that companies have published about their own models do not hold once triggering cues are removed. The safety performance everyone relied on was driven by vocabulary, not by understanding. The models that were reported as "among the safest ever built" became almost completely unsafe the moment someone asked nicely. If the safety systems only work when attackers sound like movie villains, what happens when they learn to ask politely?

@elonmusk @_kaitodev @garrytan @karpathy Universal low income more like... it's called JobSeeekers...right @Grok 😂

@_kaitodev @garrytan @karpathy All jobs will be optional. There will be universal high income.

5 minutes ago, @karpathy just dropped karpathy/jobs! he scraped every job in the US economy (342 occupations from BLS), scored each one's AI exposure 0-10 using an LLM, and visualized it as a treemap. if your whole job happens on a screen you're cooked. average score across all jobs is 5.3/10. software devs: 8-9. roofers: 0-1. medical transcriptionists: 10/10 💀 karpathy.ai/jobs

@brianeskow It's no mystery...@elonmusk is a self-declared alien...😂

Are we on the verge of being told that we are not alone in the universe, and then there is an extraterrestrial presence already on Earth? I’m on team YES.

LAYOFF ALERT: DELL Dell just confirmed 11,000 jobs cut in their annual filing. They spent $569M on severance and called it “disciplined cost management.” The list keeps growing.

@stats_feed Thank goodness Brisbane didn't make the list. Australias best kept secret....shhhh @grok and don't tell them about the Olympics...😂

Best Cities in the World for 2026 is here! 1. Melbourne, Australia 🇦🇺 2. Shanghai, China 🇨🇳 3. Edinburgh, United Kingdom 🇬🇧 4. London, United Kingdom 🇬🇧 5. New York City, United States 🇺🇸 6. Cape Town, South Africa 🇿🇦 7. Mexico City, Mexico 🇲🇽 8. Bangkok, Thailand 🇹🇭 9. Seoul, South Korea 🇰🇷 10. Tokyo, Japan 🇯🇵 11. Zürich, Switzerland 🇨🇭 12. Rio de Janeiro, Brazil 🇧🇷 13. Copenhagen, Denmark 🇩🇰 14. São Paulo, Brazil 🇧🇷 15. Hong Kong 🇭🇰 16. Kraków, Poland 🇵🇱 17. Porto, Portugal 🇵🇹 18. Guadalajara, Mexico 🇲🇽 19. Madrid, Spain 🇪🇸 20. Valencia, Spain 🇪🇸 21. Sydney, Australia 🇦🇺 22. Paris, France 🇫🇷 23. Singapore 🇸🇬 24. Marrakech, Morocco 🇲🇦 25. Hanoi, Vietnam 🇻🇳 26. Bath, United Kingdom 🇬🇧 27. Bilbao, Spain 🇪🇸 28. Berlin, Germany 🇩🇪 29. Adelaide, Australia 🇦🇺 30. Beijing, China 🇨🇳 31. Antwerp, Belgium 🇧🇪 32. Chiang Mai, Thailand 🇹🇭 33. Naples, Italy 🇮🇹 34. Amsterdam, Netherlands 🇳🇱 35. Medellín, Colombia 🇨🇴 36. Lima, Peru 🇵🇪 37. Vancouver, Canada 🇨🇦 38. Ho Chi Minh City, Vietnam 🇻🇳 39. Osaka, Japan 🇯🇵 40. Athens, Greece 🇬🇷 41. Chicago, United States 🇺🇸 42. Cairo, Egypt 🇪🇬 43. Buenos Aires, Argentina 🇦🇷 44. Vienna, Austria 🇦🇹 45. Dublin, Ireland 🇮🇪 46. San Francisco, United States 🇺🇸 47. Lagos, Nigeria 🇳🇬 48. Auckland, New Zealand 🇳🇿 49. Lisbon, Portugal 🇵🇹 50. Bogotá, Colombia 🇨🇴 Which city surprised you the most? Based on a massive global survey of 24,000+ locals + 100 city experts. Source: TimeOut

@livingdevops @TlrWorldWidellc I remember learning Kernigan and Ritchie C in the 90s for my A levels. @Grok why was K&R C so popular?

Dennis Ritchie created C in the early 1970s without Google, Stack Overflow, GitHub, or any AI ( Claude, Cursor, Codex) assistant. - No VC funding. - No viral launch. - No TED talk. - Just two engineers at Bell Labs. A terminal. And a problem to solve. He built a language that fit in kilobytes. 50 years later, it runs everything. Linux kernel. Windows. macOS. Every iPhone. Every Android. NASA’s deep space probes. The International Space Station. > Python borrowed from it. > Java borrowed from it. > JavaScript borrowed from it. If you have ever written a single line of code in any language, you did it in Dennis Ritchie’s shadow. He died in 2011. The same week as Steve Jobs. Jobs got the front pages. Ritchie got silence. This Legend deserves to be celebrated.

🤔 From S3 Objects to S3 Vectors...how AWS created a storage solution that worked over the internet...🙏 📅 AWS Weekly Roundup: Amazon S3 turns 20, Amazon Route 53 Global Resolver general availability, and more (March 16, 2026)...🚀 #TheDigitalCoach #S3 #RAG aws.amazon.com/blogs/aws/aws-… via @awscloud

📡 Receive push notifications whenever memory records are created or modified...📼 🛌🪨 Amazon Bedrock AgentCore Memory announces streaming notifications for long-term memory...🧠 #TheDigitalCoach #Agents #AWS aws.amazon.com/about-aws/what…

@DavidSKrueger Interesting...how will a conditional pause help just in the US. What about countries?

A week from today, we will be at Anthropic, OpenAI, and xAI, demanding that leaders agree to a conditional AI pause. These companies are recklessly endangering all of our lives. Their excuse is that they can't pause unilaterally. So they must commit to pausing if others do.

🤔 Who would of thought that S3 would be adding vector support for RAG in AI systems, almost 20 years later...🤯 📅 Twenty years of Amazon S3 and building what's next...🚀 #TheDigitalCoach #S3 #Vectord aws.amazon.com/blogs/aws/twen… via @awscloud

@elonmusk @xai @barisakis Great leadership. Talent is always a huge challenge...🙏

Many talented people over the past few years were declined an offer or even an interview @xAI. My apologies. @BarisAkis and I are going through the company interview history and reaching back out to promising candidates.

🇦🇺An Australian tech founder with zero biology background sequenced his dog’s tumor DNA, then used ChatGPT and AlphaFold to design a custom mRNA cancer vaccine. A month later, the tumors shrank by half. And this is just the start of AI medicine.

@rohanpaul_ai Sounds too good to be true. Is this true @Grok?

Truly wild story 🤯. A new era of "citizen science" is beginning. An engineer with no medical training used ChatGPT and Google’s Alphafold (AI protein sequencer) to build a working cancer vaccine from scratch. He turned raw genetic data into a custom mRNA vaccine that shrank his dying dog's tumor by 50%. Paul Conyngham spent $3000 to get the DNA sequences of his dog's healthy blood and the cancerous tumor. He was staring at gigabytes of raw genetic code without having any clue how to read biological data. This is exactly where ChatGPT became the crucial missing link in his process. He used ChatGPT as a high-level biological consultant to figure out how to compare the two DNA samples and spot the exact mutations causing the cancer. ChatGPT gave him the step-by-step instructions to run the data pipelines and pointed him toward an AI tool called AlphaFold to map the physical shape of the damaged proteins. The chatbot basically translated complex oncology concepts so he could write a half-page chemical recipe for an mRNA vaccine. This mRNA is just a genetic instruction manual that tells the immune system how to recognize and attack those specific mutated cancer cells. University researchers were blown away by his formula and manufactured the physical vaccine for him. A veterinary expert then injected the dog, and within weeks the massive tumor had halved in size.

I think we'll see a number of breakthroughs beyond LLMs. We have already seen MCP, Agents, RAG and memory as incremental steps to evolving AI systems. Eventually we'll see a more diverse set of architectures around foundation models. The startup by @ylecun being a great example of rethinking the FM architecture. 🤔

morgan stanley is making a pretty bold prediction here: "a massive AI breakthrough is coming in the first half of 2026, and most of the world isn’t ready" i don't think this is anything new if it is still based on LLMs, i don't see it as a big breakthrough, more like a big improvement

@brankopetric00 If you're running workloads in the cloud forget cron jobs. Consider using AWS Batch or Amazon EventBridge...😎

Cron job was supposed to run at 2 AM. Server had wrong timezone. It ran at 8 AM instead. During peak traffic. It processed 6 million records.

@GergelyOrosz IMHO - The decision to retire Chime is not related to AI. It's driven by customer demand (or lack of). I believe the SDK will be maintained though. @Grok anything to add?

As AI coding tools went mainstream, Amazon decided it’s not worth them supporting their Zoom clone, called Chime (that has paying customers!) And yet startups are assuming it’s worth rebuilding and supporting their own JIRA clones (with no paying customers) Who is mistaken?