shane

[justin @justinsunyt]

https://t.co/gm5UvJ4HH5

[Glenna Milberg @GlennaWPLG]

Just in @NIST: Champlain Towers catastrophe actually started 3wks prior to the condo collapse (5yrs ago this Wed)

https://t.co/x5hebaJO39

[Matt Devitt @MattDevittWX]

Happy 1st day of Summer and longest day of the year in terms of daylight hours. Enjoy it now because starting tomorrow we gradually start losing daylight! 🌞

[alex bronzini-vender @alexbronzini]

Absolutely rules that Zohran just randomly dropped Gettysburg Address-tier oratory at the Knicks championship celebration

[Vaishnavi @_vmlops]

MICROSOFT OPEN-SOURCED A PII DETECTION SDK

presidio detects and anonymizes sensitive data before it ever touches your model

the problem is real: names, emails, SSNs, credit cards, medical records all flowing through LLM pipelines unfiltered

presidio stops that

▫️ detects PII in text, images, and structured data
▫️ redacts, masks, or anonymizes before it hits the model
▫️ supports NLP, regex, rule-based, and transformer detection
▫️ runs on Python, PySpark, Docker, and Kubernetes
▫️ even handles DICOM medical images

in an era of GDPR, HIPAA, and AI compliance audits, this is infrastructure not optional

https://t.co/pcEkm4mMt7

[Daniel Beauchamp @pushmatrix]

Everyone's talking about AI-generated HTML.

But have you tried giving your sites a zero-config API for saving data, file storage, AI, websockets, etc?

We did this at Shopify. Runs on a single VM that costs $200/month, and it's changed the way we work.

We call it Quick 👇🧵

[sarah guo @saranormous]

https://t.co/Hw02laH9yp

[Amazon Web Services @awscloud]

The real bottleneck was never writing code. It's releasing it, debugging it, & keeping it running well. So when @Honeycombio CTO Charity Majors set a productivity target, she didn't chase 10x. She chose 2x, & built from there.

[Tim Sneath @timsneath]

One of my personal favorite features announced at WWDC will I suspect be a sleeper hit: container machines, allowing your Mac to run a lightweight, persistent Linux environment with your home directory and repos automatically mounted: https://t.co/dOBdfOOVxC

[George from 🕹prodmgmt.world @nurijanian]

https://t.co/NoYTeKDf4z

[Karri Saarinen @karrisaarinen]

This is how we think about @linear too

It is the shared system where product work, teams and its context live, so humans and agents can coordinate around the same knowledge.

The Linear workflow runs from intake and triage through planning, building, code review, and release.

[Sarah Edwards @eddy_sarah]

genuinely think this is one of the most beautiful documents of our time

[Simon Willison @simonw]

When I woke up this morning I didn't think I'd be spending a bunch of time today getting familiar with Catholic theology, but here we are. Notes on Pope Leo XIV's encyclical on AI. https://t.co/VUN6bjVcEx

[KEZI | c0mms on vgen @kezillustrator]

actual banger paragraph holy shit

[Dan Shipper 📧 @danshipper]

We’ve automated every single thing we can @every with AI agents.

And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3.

I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI.

After Automation: https://t.co/Lb7SUCduAg

[Ben Chase @BenGChase]

111 days until we pack The Swamp again.

Hopefully these gaps of incredible nights and unforgettable experiences in Ben Hill Griffin close more and more in the coming years.

A packed Swamp on any night is great for Gainesville, great for UF, and great for the Gators.

[BuccoCapital Bloke @buccocapital]

I get why the tech outcomes drive some people insane. I’ve joined companies 12 months “too late”, and merely made a good amount of money instead of generational wealth

The people who joined before me weren’t any better or smarter. They just got lucky. Just like someone looks at me and thinks I got lucky

The pure randomness of it all can either drive you crazy or give you an appreciation for the role of luck.

But at the end of the day you are in the driver’s seat. You choose your perspective

What I have come to learn is the people who think they alone earned their accomplishments are the most unhappy. The people with gratitude for the role luck played in their success are able to keep striving for more without losing their mind

They have come to acknowledge that while they can shape the world around them, and tilt the odds in their favor ever so slightly, ultimately a lot of it is out of their hands

[David Cramer @zeeg]

vendor-specific chatbots are broken by design

that means the Sentry agent, the Linear agent, and any others you might have in Slack

they are fine for some point situations, they're nice to get started with, but agents with generalized access outperform them in every single scenario

some weeks ago we built an internal Slackbot, gave it access to a bunch of systems (Sentry, GitHub, Linear, Notion, etc), and its capabilities overnight far exceed these other bots

"Oh cool Linear can now search your code bases" - our bot did that on day one, and then could push that information wherever it needed to go.

Its useful to the point where I now discourage use of things like the Linear bot because it _creates worse outcomes_.

this also goes beyond the simple generalization of access: we can customize it. we throw in skills-as-runbooks, templates, etc and the outcomes once again incrementally improve

if your org hasnt already built a general purpose bot internally you should. if you need inspiration ours is open source on GitHub (albeit fairly unstable still)

https://t.co/4SzdZPIMBP

[Aaron Levie @levie]

We’re in a period where everything feels like it’s getting jumbled up across roles because AI lets you explore the adjacencies of other functions more easily.

We all collectively have to figure out the new form of definition of what these jobs look like in a world of agents, and certainly many will look different from what they did before. But there are some immutable laws that will eventually re-emerge over time and become clear again.

As an example, when you’re scaling, product managers should be spending an insane amount of time with customers and getting feedback on the product and thinking through what to do build next, how to design it so it’s usable, and so on. Engineers should be understanding the business objectives, and building systems that scale and are secure, even as feature velocity increases by 10X. Now both can do a bit more of the others role, and this can temporarily get conflated as doing the whole thing, but eventually the work adds up to be enough that it makes sense to specialize again.

Similarly, in GTM, the product marketer can certainly generate a working design and video for a launch, but the specialist is always going to (or should) have an eye for quality that delivers a better outcome.

My bet is that AI enhances specialization even further, even if a few roles collapse into each other, and the future toolchain and craft of the specialist will be much higher leverage and output far greater than anyone else as a hobbyist in that function.

[David Fowler @davidfowl]

https://t.co/Y4ALRmrJCN