Blano

Looking for #Fractional work #CPO Product & Channel; pursuer of cooking, history. AI for productivity, automating workflows, & prototyping. GitHub: enalbenerraw

[Blano @blano]

https://t.co/QpkIPQL4Er

[Blano @blano]

@hthieblot I agree with others on WinZip. Also, I definitely used AOL IM even after escaping the AOL CD accounts (yup, I was on in 1996). Also, I was a heavy Eudora user for email.

[Blano @blano]

LOVE the creativity!

[Om Patel @om_patel5]

THIS GUY LIVES UNDER SFO'S TAKEOFF PATH SO HE BUILT A CEILING PROJECTOR THAT TRACKS EVERY PLANE FLYING OVER HIS HOUSE IN REAL TIME

he uses a cheap $30 radio receiver to pick up the signals that planes broadcast while flying.

then projects them onto his ceiling in real time

when a jet flies over his house you hear it outside and at the exact same moment a plane glides across his ceiling labeled with the airline, aircraft type, and destination

pure black background so the projector's rectangle disappears and only the aircraft are visible

but he didn't stop at planes

it also draws the real sky behind them. sun, moon, bright stars, constellations, and live satellites including the ISS. all at their true positions for his exact location and time in real time

so he's lying in bed watching the actual night sky projected onto his ceiling with real planes crossing through it as they take off from SFO

there is a huge market for every man alive that runs outside to see the helicopter

vibe coded the whole thing himself with a cheap radio, a projector, and some clever software

[Blano @blano]

Are AI agents "colleagues" or just "workflows"? Top COOs at the Fortune Summit couldn't agree.

But for risk and compliance, both sides miss the mark. The solution: treat AI agents as digital employees under a hybrid governance framework. 🧵👇

Treating AI as a peer "colleague" backfires. HBR & BCG research shows it causes human workers to shift accountability, review work carelessly, and scapegoat the AI.

But treating AI as just a "workflow" ignores its dynamic, decision-making agency.

The answer: treat them as digital employees. They aren't peers, but they need an HR spectrum overlay alongside IT asset management.

IT manages the compute, licenses, and token budgets. HR processes manage the behavior and roles.

What does an HR overlay look like for AI?
• Written job descriptions & boundaries
• Onboarding protocols & policy alignment
• Regular performance reviews (auditing for drift)
• Formal deactivation (offboarding)

Crucially, every digital employee must report to a human manager. If the agent fails, the manager is responsible.

By applying an HR lens to AI, compliance leaders can keep lines of human accountability crystal clear. 🧵

The Fortune piece:
https://t.co/1HoUKyIxQL

[Blano @blano]

This will save a ton of time!

[Josh Woodward @joshwoodward]

A top feature request is rolling out in @NotebookLM: Google Drive files will now automatically sync! 🔄

We're actively rolling this out, starting with 10% today and ramping up soon.

[Blano @blano]

@mpopv What do you see when you stare into this? ;-)

[Blano @blano]

Governance is not an innovation brake. It is the brake system that lets a Formula 1 car run at 200 mph.

Without a Digital Employee framework, you are stuck in low-stakes Shadow AI pilots that never touch core revenue workflows.

Three actions for boards this quarter:

* Digital Workforce Registry with named human principals

* Role-specific Agent IDs (kill the shared API keys)

* "Audit of Intent" logs for high-stakes decisions

and make it an active framework, not just a slide.

Full brief: https://t.co/UjEjPyruzd

#AIGovernance

[Blano @blano]

Brilliant case study showing the power of context at a glance.

The Evolution of a Pitch Deck https://t.co/VArwhRzXqo

[Blano @blano]

It is a stunning number, even though it is early in the adoption curve. I see this at the micro level, including discussions of simple best practices such as managing context and MD files to ensure efficiency.

The meta-lesson: treat your AI assistant like a new senior hire. Ask it how it works, what it's good at, and where it struggles. You'll learn more in five minutes of conversation than in five hours of documentation. Then operationalize that internally.

[Brandon Carl @brandonjcarl]

Very interesting data across 2,444 companies.

82% of tokens are spent on AI-generated bugs, rework and review friction.

[Blano @blano]

I logged a meal by talking to my Mac Mini last night. It was in my food log before I sat down to eat

Same AI I use in product work, different half of my life.

5 hours of build time, $0.10/month to run vs $34 for three apps before this.

Speak a meal → Claude figures out what I ate → USDA fills in the calories and macros → row in a Google sheet

Post is up:
https://t.co/N3JJ9nfmq6

[Aakash Gupta @aakashgupta]

Your CLAUDE.md file is probably growing every week. Pawel Huryn's has six items and hasn't changed in months.

His file contains a 2-3 sentence project description, a file structure map so the agent never scans blindly, identity context (role, audience, goals), knowledge routing that tells the agent where domain-specific files live, workflow pointers, and a three-line self-improving prompt. That's the entire file. Six items. A routing table.

Writing style rules live in a voice file. Good and bad examples live in a patterns file. Platform instructions live in platform-specific folders (x/, linkedin/). Historical metrics live in a metrics file. Hypotheses and confirmed rules live in domain-specific knowledge files. Detailed procedures live in skills folders. The agent reads the routing table, identifies the domain, and loads only what it needs.

The three-line self-improving prompt is the part you can paste into your own CLAUDE.md today:

1. Before starting any task, review existing rules and hypotheses for this domain
2. Apply confirmed rules by default to your work
3. After completing work and receiving feedback, update rules and hypotheses based on what you learned

Three sentences. Works for any domain: marketing, testing, strategy, hiring, content. The agent reviews what it knows, applies what's confirmed, and updates its knowledge after every session without you rewriting instructions.

Over time, the system auto-discovers hook patterns that correlate with engagement, voice archetypes per platform, sentence structures that get quoted and shared, and which format/length/topic combinations drive reactions. All organized by domain, all ranked by evidence.

The compound gap between someone running this and someone prompting from scratch doubles every month.

[Blano @blano]

That is stunning @AJamesMcCarthy!

I have a personal favorite I took on my iPhone on a whim while landing in San Diego. What are the odds that the shadow fits between the moving cars? Pure luck.

[Andrew McCarthy @AJamesMcCarthy]

I took 1.7 million photos over 6 days to catch this photo of a commercial jet in front of the sun.

The moment it happened, TWO floating prominences were visible, making this not just my best aircraft transit photo, but one of the luckiest of my career! Videos of the transit 👇

[Blano @blano]

Lord, do I need this!!!!

[Elí Guerrón @eliguerron]

When I was at Apple, I loved working on micro interactions that you see all over the OS. Now that I’m not an apple I still like to solve for these little problems that really annoyed me. In this case, I designed a backspace button with a speed controller, so by just pressing it you can delete by letter and then immediately by word as you stretch it, without having to wait (like it usually does on the OS) and then if you stretch a little more, you can speed delete through words… I’m also working on another one where you can repair the words if you over-deleted it by accident 😜 (it also has haptic feedback, which makes it really fun)

[Blano @blano]

@davidaxelrod Love the pop-up jams, be they organic or staged!

[Blano @blano]

@Ike_Saul 🤦‍♂️

[Taylor Lorenz @TaylorLorenz]

This is fantastic work

[Blano @blano]

I concur - loved the crisps in the UK (wayyy better than US potato chips - though I love a wide array of US food!). Now, if Anthropic is buying AI Chips, let's get them the right recipe for AI Cod, then we can get a proper meal out of Claude Code.

[“paula” @paularambles]

they call them crisps there

[Blano @blano]

Apple ends up looking patient and wise, waiting for the weight of this untenable spending to collapse on itself.

[Gary Marcus @GaryMarcus]

Sheer insanity. Amazon, Google, Microsoft, and Meta collectively are spending more money than the Manhattan Project *every single month*. More than 12x the Manhattan Project every year.

And what they have got to show for it?

None are making major profits on AI; none has a technical moat; a massive price war is inevitable. And few of their customers are seeing major returns on investment.

Greatest capital misallocation in history.

[Charlotte Lee @cljack]

no professional economist has ever been or will ever be again this funny on purpose

[Paul Rees. ex Rucksack. @HannahIamthest1]

A truck loaded with thousands of copies of Roget's Thesaurus spilled its load leaving New York.
Witnesses were stunned, startled, aghast, stupefied, confused, shocked, rattled, paralyzed, dazed, bewildered, surprised, dumbfounded, flabbergasted, confounded, astonished, and numbed.