Hungi Pham

Learning by osmosis / Finance @PaymentLabs_io / Pravda vítězí 🇨🇿 🇻🇳

[Hungi Pham @hungipham]

Slackbot finally takes a breather; Lgtm = Looks good to me will be my new power move in chats

[Claude @claudeai]

Introducing Claude Tag, a new way for teams to work with Claude.

In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.

[Hungi Pham @hungipham]

@weblog20 Zrovna u Frank mi přijdou ty emaily a komunikace o manipulování dat (fake consumer data) jako tutovka. O soudu s JPM týkající se legálních nákladů se dovídám až teď, dobrý drama 😂 🍿

[Reads with Ravi @readswithravi]

A reminder from Atomic Habits by James Clear:

“It doesn't make sense to continue wanting something if you're not willing to do what it takes to get it. If you don't want to live the lifestyle, then release yourself from the desire. To crave the result but not the process is to guarantee disappointment.”

[Hungi Pham @hungipham]

@foundersfund Used to play this game in elementary school, then at our house parties in college, and hope to play this again in the future. Good to know this game doesn't get boring

[Hungi Pham @hungipham]

@petr_zabza @fidrhel @daniel_benes @SkupinaCEZ Souhlas, a košile jak Palmer Luckey? 👏🏼

[Nicholas Fabiano, MD @NTFabiano]

Emotional suppression is associated with an earlier death.

[Brian Graham 🦬 @iroasmas]

me as i read 40% of what claude wrote back and type in “continue”

[Hungi Pham @hungipham]

@benln Love to see it!

[Ben Lang @benln]

Cafe Cursor in Hanoi

[Aaron Levie @levie]

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise.

Some quick takeaways:

* Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow.

* Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated.

* Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs).

* Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these.

* Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs.

* Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy.

* Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems.

* Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been.

One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise.

This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

[NASA @NASA]

We see our home planet as a whole, lit up in spectacular blues and browns. A green aurora even lights up the atmosphere. That's us, together, watching as our astronauts make their journey to the Moon.

[tweet davidson @andyreed]

“You’re absolutely right. I meant left”

[Hungi Pham @hungipham]

There's a fascinating mixture of poignant, inspiring, and hilarious quotes in here, like this one that about describes my impression of Spain 🤣

[Anthropic @AnthropicAI]

We invited Claude users to share how they use AI, what they dream it could make possible, and what they fear it might do.

Nearly 81,000 people responded in one week—the largest qualitative study of its kind.

Read more: https://t.co/tmp2RnZxRm

[Hungi Pham @hungipham]

@AndrewCurran_ This gives off gradually, then suddenly vibes

[Hungi Pham @hungipham]

“We’re early” but not that early right? This is already impressive.

[Andrew Curran @AndrewCurran_]

Striking image from the new Anthropic labor market impact report.

[Hungi Pham @hungipham]

@thenanyu @signulll That’s right. Incredible reporting from @WSJ here. https://t.co/7fFe02XXEv

[Hungi Pham @hungipham]

@hwbhatti Lemon

[Hungi Pham @hungipham]

@SahilBloom 25,000 dinners together, it’s about the boring Wednesdays

[Hungi Pham @hungipham]

@exec_sum

[Hungi Pham @hungipham]

@VinQuilop Same but crab egg omelette at Krua Apsorn!