Graeme

[Ryan G. Cox @RyanGCox_]

Here are some logical career pivots if you want to break into Cybersecurity:

IT -> Corporate Security
SWE -> Application Security/Red Team
Network Engineer -> Cloud Security
Data Analyst -> SOC Analyst
SysAdmin -> IAM Security
DevOps -> DevSecOps/Infrastructure/Cloud Security
Help Desk -> SOC Analyst

To work in cybersecurity, you don't have to start in cybersecurity.

Everyone's path is different. Find the path that makes the most sense for you.

[Graeme @gmilroy]

RAG for Regulated Industries - Control Your AI, Protect Your Data https://t.co/1sTly8pn2U #retrievalaugmentationgeneration #localAI #governance #artificialintelligence

[Graeme @gmilroy]

Interview with Will MacAskill (March 2025) on AGI preparedness https://t.co/hiGmQ9hp4S #agipreparedness

[Graeme @gmilroy]

Fraud is big business. One type of scam - pig butchering - is stealing billions.

A special investigation in this weekend's The Economist & must-read (and listen) for anyone interested in cybersecurity, financial crime
https://t.co/X7kluNyux0

[Startup Archive @StartupArchive_]

Jensen Huang on why he rarely fires people and will instead “torture them into greatness”

Jensen once told Stripe founder Patrick Collison that he didn’t like firing people and seldomly did it. When asked to elaborate on this, Jensen responds:

“I’d rather improve you than give up on you. When you fire somebody, a lot of people will say ‘it wasn’t your fault,’ or ‘I made the wrong choice.’ But I used to clean bathrooms and now I’m the CEO of a company. I think you can learn it. There are a lot of things in life that I think you can learn and you just have to be given the opportunity to learn it… I don’t like giving up on people because I think they can improve.”

He continues:

“It’s kind of tongue in cheek, but people know I’d rather torture them into greatness. I’d rather torture you into greatness because I believe in you. And I think that coaches that really believe in their team torture them into greatness. Oftentimes they’re so close. Greatness will sometimes come in one day with an ‘I got it!’ — that feeling that you didn’t get it yesterday and all of a sudden one day something clicks. Could you imagine giving up that moment right before you got it? I don’t want you to give up on that, so I’ll just keep torturing you.”

Video source: @stripe (2024)

[Graeme @gmilroy]

Best productivity hack I've read in a while - keeping a 'decision notebook'

[oreghall @oreghall]

I've recently found a productivity hack that moved me from bottom 10% conscientiousness to top 10% overnight, where other techniques have failed.

I know there must be others out there who would find it useful, so l figured a twitter thread is the best thing short of a blog post.

[Graeme @gmilroy]

Despite the uncertainty, employees in Singapore still seek to improve their AI skills. In fact, 88% “feel an urgency to become an AI expert,” according to the report. https://t.co/0FknNhvrVX

[Graeme @gmilroy]

@ryan_waas An invite would be nice

[Matthew Green @matthew_d_green]

So Apple has gone and updated the iMessage protocol to incorporate both forward security (very good!) and post-quantum cryptography. https://t.co/c7lidT3P9b

[Linus ✦ Ekenstam @LinusEkenstam]

If it’s not clear yet, this is what I think will happen soon.

Every major tech company except Apple has announced their own LLM.

Apple have spent years perfecting their on-device neural engine. Capable of some absolute insane operations. Loads of compute in a small and energy efficient form factor.

With M1, M2 & soon M3 the neural engine is even more powerful than their A series mobile chipsets.

While we currently need the cloud to run ChatGPT and it’s clunky, I think Apple is going to blow everyone out of the water here. Both on desktop class hardware and mobile.

I think Apple will be launching their own secure and private LLM that runs on device (edge compute). And when necessary it offloads more heavy workloads to a cloud based LLM that’s optimized for heavier tasks. So we will initially have some hybrid.

Personal, with tight hardware and software integration this AI will be omnipresent. Apple will probably use this to sell a lot of new hardware that they claim is needed to run this. They will make a lot of moneys.

For me the LLM’s will form the new protocol level technology upon which most new software will be built. We will have to re-wire our core understanding about what an application is.

Single-use apps will be a huge thing. If you need to solve a unique problem, and nobody has ever done software for that because not enough market. With an LLM even a problem with only one user, will be doable, enter your ask, and code gets written, problem gets solved. Runtime ends, app dies. Done. Single use apps are born.

It’s hard to predict or try to understand how the world will look just 10 years from today. It will be very different, we have passed the inflection point, the rocket engines have been lit. We’ve taken off.

Add to all the above that every single field, category and market will be disrupted at the same time. And not only with text/coding but with any multi-media we have. Images, video & audio. Anything we can come up with can and will be enhanced or disrupted by AI.

Once we got more people that will have their AI A-ha moment the rate of change and adoption will continue to increase. This will continue until we have global access and coverage.

People will get left behind, and this will be one of the most important things to try to combat. Having a 0% left behind policy. We need to make sure AI benefits all.

We’re living through a paradigm shift, and we’re witness a new protocol level technology. We’re seeing it arrive in real-time and most people have no clue about what’s about to happen.

I’m not an AI alarmist, I’m an AI gardener, and optimist.

We will have time to adapt. Not as long as we had during the Industrial Revolution, but enough time to make sure we have a chance at a positive outcome.

We’re moving away from the Information Age into the Age of Intelligence. With unlimited access to intelligence anywhere, anytime.

18th Mars 2023 - Linus Ekenstam

[Graeme @gmilroy]

My flight #77 on #JetLovers: LHR > HKG - another 5984 miles in the air! https://t.co/CXEfnAmNJ9

[Genevieve Roch-Decter, CFA @GRDecter]

4. FTX, a company valued at $32 billion, never had board meetings. Neither did most of the subsidiaries.

[kadhim (＾ｰ^)ノ @kadhim]

THE FTX FIRST DAY DECLARATION

New CEO John Ray is scathing about Sam Bankman-Fried's management.

"Never in my career have I seen such a complete failure of corporate controls and such a complete absence of trustworthy financial information."

https://t.co/iTGlCA9olr

[Tiago Forte @fortelabs]

5/ The Document Culture of Amazon, by @rothgar

One of my biggest goals for next year is to institute a truly asynchronous, document-based culture, and this case study offers many great suggestions for how to do that

https://t.co/bWH9KVWQho

[Stewart Brand @stewartbrand]

Neil Stephenson's TERMINATION SHOCK and Kim Stanley Robinson's THE MINISTRY FOR THE FUTURE should be sold as a boxed set.

They are certainly being read as such.

[Graeme @gmilroy]

Do you remember when you joined Twitter? I do! #2006 #MyTwitterAnniversary

[Brian Roemmele @BrianRoemmele]

Dunnottar, Scotland.

[ServiceNow Events @HelloKnowledge]

Thank you to our Premier Sponsor @DeloitteOnTech. Learn how they provide tools to absorb today’s continuous flow of disruptions at the #Know21 Digital Experience.
https://t.co/QRF43eK33n

[David Perell @david_perell]

Jeff Bezos has a saying: “Good intentions don’t work. Mechanisms do.”

Long-term, you can’t solve problems by working more or trying harder. If you want persistent change, you have to fix the underlying system.