Biotech Meetups Melbourne
Meet Melbourne's biotech minds and experts
![Databricks User Group Melbourne, June Meetup [Hosted by Vivanti]](https://secure-content.meetupstatic.com/images/classic-events/534310226/600x338.webp?w=3840)
Tech Networking Event by Startup Valley in Melbourne
Fri, Jun 19, 8:00 AM**Attention attendees!** **To register, use** [Luma](https://luma.com/tcjftauk) Warning: The meetup is not a platform for RSVP registration; for this, you need to follow [thisLink ](https://luma.com/tcjftauk)to purchase a registration ticket. The meetup is one of the platforms through which we offer participation in our events. **Startup Valley — Melbourne** A curated pitch night for startup founders, operators, angels and VC partners. We design these sessions to help founders sharpen their thinking through direct, candid feedback — and to give strong investors access to serious teams. **What happens:** • 4-8 startups pitch live and receive feedback from angels and VC partners • Feedback focuses on real decisions and next steps — not surface-level opinions • Investors stay in the room before and after pitches • The format leaves space for real conversations, not rushed networking • Attendance is limited to keep the room focused Designed for clear thinking, not noise. **Who you’ll meet:** * Startup founders * Angel investors and VC partners * Operators in marketing, sales, and tech * AI engineers * Local and international founders * AI Experts * Founders from Europe, Asia, and the United Kingdom **Practical details** **For investors:** We invite angel investors and VC partners to participate as judges and contributors. **To become a judge,** and get early access to our startups database, please fill out th[ the form](https://docs.google.com/forms/d/e/1FAIpQLSc8CVqvhQJu-AcclIF6PCuwjL4YpQt4w0FchGSoutRkt58v4g/viewform). Join the judge table, meet other investors, and see what teams are building early. Founders need your experienced view. **For pitching startups:** Startups selected to pitch will present live on stage and receive feedback from investors. **After purchasing a ticket:** Please[ submit your pitch deck](https://docs.google.com/forms/d/e/1FAIpQLSchcZr9gCNJh0RLiKBgbdbDBKEOc-92LNySkzHf8qGPHg5Wpg/viewform) and ensure it is open for viewers. **Agenda** **18:00 – 18:30** **Registration** Guests register, receive badges, and event programs. This is an opportunity for casual networking, making first connections, and preparing for the event. **18:30 – 19:30** **Event Kickoff & Interactive Networking** Official welcome from the organizers with a brief overview of the event goals and schedule. Interactive networking helps participants set their objectives and connect with key contacts. **19:40 – 20:20** **Startup Pitch Session** Startups present their projects to investors and experts. Each team has 5 minutes to pitch, covering the project's core idea, business model, and target market. **20:20 – 21:00** **Chill & Networking** Participants enjoy casual conversations with investors, discuss collaborations, and exchange ideas over refreshments.
Tech & Business Networking in Melbourne
Fri, Jun 19, 8:00 AM**Attention attendees!** **To register, use**[ Luma](https://luma.com/tcjftauk) Warning: The meetup is not a platform for RSVP registration; for this, you need to follow [thisLink ](https://luma.com/tcjftauk)to purchase a registration ticket. The meetup is one of the platforms through which we offer participation in our events. **Startup Valley — Melbourne** A curated pitch night for startup founders, operators, angels and VC partners. We design these sessions to help founders sharpen their thinking through direct, candid feedback — and to give strong investors access to serious teams. **What happens:** • 4-8 startups pitch live and receive feedback from angels and VC partners • Feedback focuses on real decisions and next steps — not surface-level opinions • Investors stay in the room before and after pitches • The format leaves space for real conversations, not rushed networking • Attendance is limited to keep the room focused Designed for clear thinking, not noise. **Who you’ll meet:** * Startup founders * Angel investors and VC partners * Operators in marketing, sales, and tech * AI engineers * Local and international founders * AI Experts * Founders from Europe, Asia, and the United Kingdom **Practical details** **For investors:** We invite angel investors and VC partners to participate as judges and contributors. **To become a judge,** and get early access to our startups database, please fill out th[ the form](https://docs.google.com/forms/d/e/1FAIpQLSc8CVqvhQJu-AcclIF6PCuwjL4YpQt4w0FchGSoutRkt58v4g/viewform). Join the judge table, meet other investors, and see what teams are building early. Founders need your experienced view. **For pitching startups:** Startups selected to pitch will present live on stage and receive feedback from investors. **After purchasing a ticket:** Please[ submit your pitch deck](https://docs.google.com/forms/d/e/1FAIpQLSchcZr9gCNJh0RLiKBgbdbDBKEOc-92LNySkzHf8qGPHg5Wpg/viewform) and ensure it is open for viewers. **Agenda** **18:00 – 18:30** **Registration** Guests register, receive badges, and event programs. This is an opportunity for casual networking, making first connections, and preparing for the event. **18:30 – 19:30** **Event Kickoff & Interactive Networking** Official welcome from the organizers with a brief overview of the event goals and schedule. Interactive networking helps participants set their objectives and connect with key contacts. **19:40 – 20:20** **Startup Pitch Session** Startups present their projects to investors and experts. Each team has 5 minutes to pitch, covering the project's core idea, business model, and target market. **20:20 – 21:00** **Chill & Networking** Participants enjoy casual conversations with investors, discuss collaborations, and exchange ideas over refreshments.
Welcome to the next 2026 AWS Melbourne Well-Architected User Group Meetup!
Wed, Jun 17, 7:30 AMHi Architects, Welcome to our next AWS Melbourne Well-Architected User Group Meetup for 2026, including more exceptional speakers and topics! :-D At each meetup we covered off various pillars in detail, best-practices and insights from industry leaders that specialise in the Well-Architected Framework. And giving away drones, of course. Lots of drones. **Please also note that AWS Security now requests a company name and company email where it is available. If you are a student, please list your institution and your student email address at that institution 👍** We’ll be updating throughout the month with more speakers and our speakers so far this month include: * **Mike Taylor, Solution Architect, TiDB** **Well-Architected Data Foundations for Agentic AI: Lessons from Kimi and Manus** As AI transitions from static prompts to autonomous, action-oriented agents, traditional data architectures often break down under the pressure of unpredictable scaling and relentless write workloads. We will explore the infrastructure of two massive-scale AI platforms, Kimi and Manus, through the lens of the well-architected framework. * **Mystery Speaker** **Well-Architecting AWS Marketplace** In this talk we will dive deep into the good, the bad and the ugly of AWS Marketplace, how to maximise traction and minimise the gotchas. This month's menu will include: * Pizzas * Beer: Nastro Azzurro * Wine: Big and red 🤤 NB: Please check in up the stairs from the ground floor to the Mezzanine Level. So come join us at 5:30 for a 6pm **SHARP** start, followed by beer, wine, pizza and friendly networking after our talks :-) (Please note that by registering to attend you agree to your details being shared as and where required with Amazon Web Services and AWS Well-Architected User Group partners)
Test Automation Summit | MELBOURNE
Wed, Jun 17, 11:00 PMMelbourne, Are You Ready for the Next Era of Intelligent Testing? Many teams are actively exploring AI-assisted QA workflows but are still figuring out how to apply them effectively within real delivery pipelines. That’s where the conversations at this summit are focused. Join the Test Automation Summit – Melbourne 2026 on 18 June 2026, where practitioners and engineering leaders discuss practical approaches to AI-enabled QA, secure delivery, test data management, and modern automation practices – with lessons drawn from real enterprise environments. Who Should Attend • QA & Quality Engineering Leaders • Automation Engineers & SDETs • DevOps & Platform Teams • Engineering & Delivery Managers • Software testers • Engineers working with AI, APIs, or mobile testing • Software Development Engineers in Test • Teams exploring AI-enabled testing and secure delivery practices Featured Sessions • Renard Vardy Principal Consultant, KJR The Rise of Test Data Management Exploring why test data is becoming a growing challenge for modern quality engineering and how teams are approaching governance, accessibility, and scalability. • Aarti Suresh Solutions Engineer, Postman MCP and AI Agents in QA: A Strategic Implementation Framework A practical look at how AI agents and MCP workflows can support QA teams, along with considerations for implementation and adoption. • Vinay Madan Technical Lead, MVSI DevTestSecOps – Secure Shift-Left Testing (Embedding Security Testing in CI/CD Pipelines) How teams are integrating testing and security earlier into development pipelines to improve delivery confidence and reduce downstream issues. Panel Discussion Human-Centric Quality: AI-Driven, Sustainable, and Secure Testing for the Digital Era Panel Speakers: • Humera Khanum Senior Delivery Manager, Lovisa Pty Ltd Additional panel speakers will be announced soon. Why This Event Matters Many teams are currently balancing the following: • Faster delivery expectations • AI-assisted development workflows • Increasing security considerations • Growing complexity in test environments and data The challenge is not just adopting new tools — It’s understanding how to apply them effectively within real delivery environments. This summit is designed around those practical discussions. If you're involved in modern QA, engineering quality, automation, or secure delivery practices – this is a conversation worth being part of.
AI: More Moral Than Us?
Thu, Jun 11, 8:30 AM**Why the Question Matters for Alignment, Moral Progress, and Long Term Flourishing** Practically nobody in alignment wants to say it out loud. So let’s say it: *AI might turn out to be* ***[more moral than us](https://www.scifuture.org/more-moral-than-us/)***. Now – why does that feel like a dangerous thing to claim? The question is not whether AI can match human moral reasoning. The question is whether that’s even worth bragging about. The idea of AI being more moral than humans is a real taboo in some circles. Many alignment researchers are uncomfortable with the idea because it seems to smuggle in the assumption that AI could have genuine moral agency, which conflicts with deflationary views of LLMs as “stochastic parrots” – and also because it sounds uncomfortably close to AI-worship or motivated reasoning for deferring to AI. Invoking this idea could get one dismissed as naive or as an actual safety risk oneself. *It’s also epistemically risky.* *More moral* – but in what sense? Knowing more facts relevant to ethics? Drawing better inferences from values? Applying principles wisely in context? Actually being *moved* by moral considerations, rather than just computing them? These aren’t the same thing. Conflating them produces both overclaiming and underclaiming – and most of the bad arguments on both sides of this debate do exactly that.[1](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6ebcc18c-d890-4a28-8b01-27945a532c66) An AI could plausibly exceed humans on moral knowledge, reasoning and even judgement without having anything like moral motivation. Collapsing these leads to both overclaiming and underclaiming. Clear distinctions between stuff like moral judgement and moral motivation makes the conversation tractable. Is it dangerous for public discourse? There’s a genuine risk that the framing gets weaponised – either by people wanting to justify AI authority over human decisions, or by critics who use it to paint alignment researchers as unhinged techno-utopians. It can also trigger motivated reasoning in both directions. A lot more could be said here. But the taboo is not protecting us from a dangerous question. It’s protecting us from the answer. The taboo itself is epistemically costly, yet if we ***refuse to ask*** whether AI could have better-grounded moral reasoning than humans, we prevent getting to the heart of the issue. ## **The questions worth asking** Before thoroughly assessing whether AI could be more moral than humans, we need to ask whether the question is even coherent. ### Alignment targeting and verification *What should AI align to?* Is morality a cohesive alignment target, or a family of overlapping intuitions that only look unified from a distance? And if there is a *fact of the matter* about moral improvement, *how would we know we were tracking it* – rather than simply laundering our current preferences with extra steps? More pressingly: what would it mean to *verify* that an agent has better moral judgement than us, given that we’re the ones doing the evaluating? This is the bootstrapping problem. We cannot step outside our own moral reasoning to assess a system that exceeds it. That isn’t a reason to stop asking – it’s a reason to ask more carefully.[2](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#114785ab-004c-4882-b8c8-c0437942e9ec) ### The motivational gap Even if the epistemic questions could be resolved, a deeper problem remains: most human moral failure isn’t a failure of *reasoning*. It’s a failure of *motivation*. If humans are themselves imperfectly morally motivated, what does alignment to human preferences actually track? Not moral truth – at best, some weighted average of moral intuitions, distorted by power, attention, and self-interest. How much of human moral failure is motivational rather than epistemic? More than we tend to admit. We frequently know what the right thing is and fail to do it anyway – which means a system that merely reasons better about ethics hasn’t addressed the failure mode that actually matters most. And this raises the hardest question in the cluster: is moral motivation necessarily tied to phenomenal experience – to there being something it is *like* to care? Or could a system be genuinely motivated by moral considerations without felt engagement? Can motivation be grounded without being felt? ### The systemic stakes Finally, there are second-order questions that rarely get asked – about what happens to *us* if AI gets this right. Does sustained deference to AI moral judgement atrophy human moral reasoning capacity? And if so, what are the systemic risks of that atrophy – not just for individuals, but for the collective processes through which moral knowledge has historically developed? (There is recent work on comparative moral Turing Tests that begins to take this seriously[3](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6efcb4e9-295e-425c-8860-40f415ef4935)) Moral progress for humans has never been a purely individual achievement. It has happened through argument, conflict, revision, and hard-won consensus across generations. A system that resolves moral questions faster than humans can engage with them might not accelerate that process. It might short-circuit it entirely. I think asking these questions Socratically can help nudge the conversation into the open productively rather than letting it fester as an unexamined assumption. Also I think this line of questioning isn’t just intuition pump fodder, I think they are directly important to the project of AI alignment.[4](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#13e5d2e0-79f6-42fc-8d1e-fcae403c2f6b) > Refusing to ask whether AI could exceed human moral reasoning doesn’t make the question safe. It just means we’ll answer it by accident, badly, and too late. Handled carelessly, this question causes damage. Left unasked, it causes more. ## Footnotes 1. The claim is easy to make sloppily. “More moral” conflates several things that need to be separated: a) Moral knowledge (knowing more facts relevant to ethics) b) Moral reasoning (drawing better inferences from values) c) Moral judgement (applying principles wisely in context) d) Moral motivation (actually being moved by moral considerations – which is one of my core focus points of activism) [↩︎](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6ebcc18c-d890-4a28-8b01-27945a532c66-link) 2\. This was brought up in an interview with Nick Bostrom [↩︎](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#114785ab-004c-4882-b8c8-c0437942e9ec-link) 3\. See Eyal Aharoni’s and Danica Dillion’s work on Moral Turing Tests – presentations and interviews [here](https://www.scifuture.org/eyal-aharoni-breaking-the-moral-turing-test-studies-of-human-attribution-and-deference-to-ai-moral-judgment-and-decision-making/), [here](https://www.scifuture.org/ai-outscored-humans-in-a-blinded-moral-turing-test-should-we-be-worried-dr-eyal-aharoni-explains/) and [here](https://www.scifuture.org/danica-dillion-ais-moral-compass-better-than-expected-now-what/). [↩︎](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/#6efcb4e9-295e-425c-8860-40f415ef4935-link) 4\. The grounded values approach actually requires asking questions like: – What should AI align to?, Is morality a cohesive alignment target?, is there a fact of the matter about moral improvement, or is “more moral” just “more aligned with our current intuitions”? – What would it mean to verify that an agent has better moral judgement than us, given that we’re the ones doing the evaluating? (see work one recently on comparative moral Turing Tests) – If humans are themselves imperfectly morally motivated, what does alignment to human preferences actually track? – How much of human moral failure is motivational versus epistemic? – Is moral motivation necessarily tied to phenomenal experience, or could a system be genuinely motivated by moral considerations without anything it’s like to be it? – Can motivation be grounded without being felt? – Does sustained deference to AI moral judgement atrophy human moral reasoning capacity, and what are the systemic risks of that atrophy – both for individuals and for the collective processes through which moral knowledge has historically developed? Also see: **[Why Are We Afraid to Ask Whether AI Could Be More Moral Than Humans?](https://www.scifuture.org/why-are-we-afraid-to-ask-whether-ai-could-be-more-moral-than-humans/)**
Build Production-Ready AI Agents on AWS with Amazon Bedrock AgentCore
Wed, Jun 10, 8:00 AMIn this hands-on workshop, you'll go from zero to a fully deployed multi-agent system on AWS — no prior AgentCore experience needed. We'll build a real multi-agent research assistant, step by step: \- Deploy your first AI agent using the Strands framework and BedrockAgentCoreApp — running in the cloud in minutes \- Orchestrate multiple agents with the A2A \(Agent\-to\-Agent\) protocol\, a cloud\-agnostic standard that lets agents discover and call each other securely via IAM \- Connect external tools — wire in PubMed via MCP Gateway\, deploy a citation manager as a Lambda function\, and expose your own MCP server By the end you'll have a working orchestrator agent that routes queries to a search specialist, calls real APIs, and manages citations — all running on AgentCore Runtime with proper IAM permissions and CloudWatch observability. What to bring: \- Laptop with Python 3\.11\+ and AWS CLI installed \- An AWS account \(free tier works for most of the workshop\) Skill level: Intermediate — some Python and basic AWS familiarity helpful. No prior agent development experience required.
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