bordumb

@bcherny 1,000s of agents 😂 I appreciate Claude Code (def best CLI tool out there), but I think # of agents is not really the best metric to talk about — it also comes across as very sales-y “You’re not doing it right unless you have 1,000,000 agents spinning 24/7”

I talk to engineers at other companies every day and hear the same thing: one person is 10x'ing their output with Claude but the rest of the org hasn't caught up. Watching teams adopt AI, I keep seeing the same 4 steps. I mapped them out here: Steps of AI Adoption claude.ai/code/artifact/…

@muratcan “Forward deployed engineer” is just a retooled phrase for “sales engineer” or “solutions architect”

I thought this was just a joke. Then I tried hiring an FDE. The overlap between “great engineer” and “someone you’d confidently put in front of a customer” is extremely small.

@tunguz I dunno man… This presupposes that torrents won’t exist People will find a way, on both sides of supply and demand

This would be a very very bad outcome for most tech workers right now.

@pmddomingos Correction: There won’t be a singularity in *your* lifetime This is analogous to evolution. Early wins are easy wins. You won’t be around to see the compounding interest of it. That’s all.

Why there won’t be a singularity: recursive self-improvement gives diminishing returns.

@Jackendarelli @novatheidiot @MorePerfectUS 💯

@novatheidiot @bordumbb @MorePerfectUS Execs probably not, but people in hr definitely could. Business analysts/data analysts hired within hr pretty frequently

Meta used AI to target workers with medical conditions for layoffs, according to a new lawsuit. Twenty-six former Meta employees are suing, accusing the company of using AI that disproportionately targeted people with disabilities or workers who took medical leave in selecting people ​for mass layoffs. reuters.com/world/meta-use…

@maninak_ Reminds me of a really complex track produced on @Ableton 😂

You know shit's about to go down then the profiler is out.

@maninak_ @radicle Please explain like I’m 5 😂

Holy shit... In the image below you're witnessing a standard radicle seed node (radicle.at) successfully cloning a repo seeded from an in-browser @radicle node (grove) rewritten in JS almost entirely. Do you understand what that means?!

@gregosuri @business Amazing

@business nevers misses

Phia — the buzzy shopping app co-founded by Bill Gates' daughter, Phoebe — is claiming credit for online sales it didn’t actually drive, a Bloomberg investigation found. Read our exclusive story: bloom.bg/4wErGxe 📷️: Dia Dipasupil/Getty Images

@DanielPriestley @garrytan What resources do CEOs and entrepreneurs put to work?

Socialists imagine a class struggle. In their made-up fantasy the CEO is in competition with low level workers, the wealthy entrepreneur is stealing from the underpaid nurse. In reality, workers do not compete vertically they compete horizontally. Entrepreneurs compete with entrepreneurs. Investors outbid each other. CEOs are benchmarked against other CEOs. Nurses are hired from a pool of nurses. Etc. The CEOs pay has no correlation to the entry level workers. The Football star on £300K a week isn’t linked to the person selling drinks in the stadium. A biotech entrepreneur raising VC capital isn’t paid relative to a cleaner. What is linked is the demand and supply dynamic of each role. If a company places an ad for a qualified truck driver and 150 people apply for the role, then the company knows it does not need to increase wages for that role. If the company has an open role for months, it is forced to look at the compensation package. Same for a CEO. A board representing shareholders would like to hire a CEO for a lot less if they could. Their dream scenario would be to hire a CEO who brings in institutional investors, attracts top executives, drives innovation and growth, keeps margins steady and is a good public face for the business even under pressure. It turns out there aren’t a lot of these people looking for work and if you want one you have to pay more than other companies are offering. The class struggle isn’t vertical it’s horizontal. CEOs are in competition with CEOs. Retail workers are in competition with retail workers. Demand and supply dynamics set the price. Sure you can say that a CEO want’s profitability and would like wages to be lower BUT it’s not up to the CEO - demand and supply tension sets the price of workers. An Airline like RyanAir would like free pilots if they could get them but they can’t… so they pay the market rate. The reason incomes are rising at the top and falling at the bottom is not class warfare. It’s technology and globalisation. Technology makes basic jobs simple, remote or fully automated. At the same time tech makes executive roles more leveraged, more important and more valuable. A CEO used to run a smaller organisation. Today a CEO who’s 2% better on a $5B company is generating $100M more. Seems sensible to try and pay a few million to get $100M. Globalisation has put workers from all over the world in completion with each other - downward pressure on wages. Globalisation has given CEOs more market opportunities to explore - upside opportunity to unlock. The rich are not very interested in buying houses that poor people own. The poor are not buying up the homes the rich want. They are separate groups living separate lives. Try finding the genuinely rich people whose strategy is to hoard normal residential homes - it barely exists as a thing. About 85% of landlords are people who own 1-4 properties. Super-landlords (100+ properties) are 0.2% of landlords and own a tiny fraction of the 30M homes in the UK… and they’re heavily taxed. Class warfare isn’t real. It’s an imagined war in the minds of socialists. Demand and supply dynamics are real. To the degree it is measured in class, it’s a horizontal competition not a vertical one.

@DasSurma Opus 4.8 also does this It’s really annoying “Let’s take a break here for no technical reason…and if you want me to keep going, just say the word”

Me: Review your own code changes using subagents GPT 5.6 Sol:

@cloudhead That’s pretty pathetic It should be totally normal to call a business “incompetent” 🤷‍♂️

RIP 1996-2026 🪦customer reviews in Germany

@NotionHQ Well shaven head dude… Is this supposed to be another George Costanza meme?

Introducing Ship OS: The agent-native way to ship software. Run your entire product development cycle in Notion, from customer feedback to a merged PR. Agents handle the triaging, routing, and summarizing. Your team handles the judgment calls. Set up Ship OS → notion.com/ship-os

@chetaslua @alexandr_wang @AIatMeta What are you smoking? If you zoom in, there are no legs It’s just poppy seeds I don’t get what you’re going on about 🙃

Holyyy SHiiiitttt 🤯 meta muse spark 1.1 passed this image test that even fable failed < this vision is on par of google models > @alexandr_wang what did you guys cooked , and thanks to let us see reasoning , best release for the price @AIatMeta is back in the game

@texasrunnerDFW @jakubflow 100% This OP is just so stupid You lose all credibility when you start saying “anyone can be 6’5”” It’s 100% genetics: either extreme luck in a mutation, or you just have tall family.

Most men won’t have the genetic potential to be 6’5” even with a perfect diet and sleep in their youth Doctors will tell you there’s an upper and lower bound For many men, good diet and sleep in their first 18 years is the difference between being 5’8” and 5’9.5” not 5’8” and 6’3”

Most people see Erling Haaland and think: "genetics" But then you look at how he lives: - red meat - raw milk - organs - raw honey - sunlight - sleep - grounding - recovery - simple lifestyle And suddenly it makes sense. Elite biology is built from elite inputs. You don't become a machine by living like a modern slave. Haaland is what happens when you live like a human.

@RatWasteCapital @unusual_whales Not really x.com/wariocolosseum…

@bordumbb @unusual_whales Is that usually rare?

Meta, $META, says it faces up to $1.4 trillion in potential penalties in a teen mental health lawsuit, roughly equal to its market value.

@RatWasteCapital @unusual_whales Glad somebody agrees with me :)

@bordumbb @unusual_whales Yes very reasonable let’s devalue the whole company because kids use their products irresponsibly

Great way to build this pipeline: - Record all their question and workflows - Label all of this data “high quality” because it likely is - Train LLMs on the maintainers’ thought processes to get better intuition

@levie On the first point: Making your business work well with AI is an exercise in restructuring and rethinking all the things you did to make the company intelligible for humans We silo for division of labor and to empower individuals to grow into specific expertise

Just coming off of meetings with a couple dozen enterprise IT leaders discussing AI agents. Here are a few of the common themes that stand out: * Lots of conversation that you have to solve an operating model challenge to get the full benefits of AI. Most companies have orgs that have always operated in siloes; but agents are most effectively when they are tied to a process, which often cuts across these siloes. So the big question is how do you start to deploy centrally managed agents that can work across organizational boundaries. Who manages these agents? How do they get deployed and adopted? * Data fragmentation remains a major issue for most organizations. As long as data remains highly fragmented and not in standard formats, or data is not available to the right people and agents, enterprises are dealing with issues around being able to get answers from agents that are accurate or that conform to their business practices. This cuts across both systems with structured data (product metrics or revenue figures) and unstructured data (product roadmap or customer contracts). * Clear sense that companies need to figure out what their core data moats are going to be in the future. If everyone has access to roughly the same superintelligence from the various models, then the context that you feed the models becomes proprietary value in the future. Capturing this data and getting it into a format that agents can use becomes very important. * Everyone is trying to figure out the right metrics to manage to for AI adoption. General consensus that tokens are not the right metric per se, and people leaning more toward business outcomes (in an ideal world). For business outcomes (like more revenue or more shipped product), though, you have to get close to each individual workflow to figure out if it was successfully transformed with AI so it’s harder to manage top down. * Growing view that enterprises are going to live in a multi-model world. Lots of interest (though early in actual adoption) in layers that can route workloads to different models (frontside or open weights) for cost or performance reasons. Also enterprises are trying to figure out what things do you give to the models directly vs. what do you separate as horizontal systems and context so you can swap any system in and out. * Talent for driving AI adoption and implementation still remains a major issue and topic. Many view it as something you necessarily have to train for internally due to a shortage of talent being trained on this in the outside. As an aside, this feels like it remains a huge opportunity for those that get very good at deploying and management agents in an enterprise since most companies are looking for these skills. * The best use-cases for AI tend to be those that fundamentally change the work being done instead of just replacing an existing process and doing it more efficiently. Companies are working through their versions of this individually because it’s different per industry, but this often remains both the most exciting and higher upside uses of AI. Many more topics discussed recently, but overall it’s clear that there’s a ton of change going on with much more to come.