@michaeltefula

Principal and Head of Product at Ada Ventures | Quenching Curiosity | Views my own

Joined April 2012
Tide is shifting. I’m hearing this from many engineers. They don’t read code any more. They just make sure that agents are sufficiently guardrailed and tests pass.
I don't read/write code these days, I only instruct an LRM. But it's not because I think LRM code quality is perfect, or even good. And it's not because I think my instructions are always being perfectly acted upon -- I know they aren't. The thing is: LRMs don't just write your code, they unlock new ways to control what you're doing and maintain understanding of your system, which are about as effective as reading code. You can better test your codebase, you can audit specific components, you can spin up visualizations, you can ask the LRM to red team, etc. You can do all of these things at high speed -- you couldn't before. The benefits of reading/writing code can now be achieved in new ways. All in all, the ROI of writing code by hand is no longer looking good, not because LRMs got perfect but because they're so fast at doing things that you can develop new workflows around them, workflows that end up being more productive than the old workflows.
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Tibo once again delivers! 🤲🏿
Ladies and gentlemen... start... your... ENGINES. We are almost Tuesday and I promised a reset for Tuesday. Among some other things. See you soon.
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Even though anyone can now build software and automations, it doesn’t mean lots of people will do so. Spot on from @benedictevans ben-evans.com/benedictevans/…
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I've put the code for this on github now github.com/mychaelangelo/tem…
You can use Jev to assemble interfaces on the fly. Here’s an example I hacked together with Astra. In this demo, Jev turns natural language requests into UI plans in roughly 1 second or less. It’s 6x faster than Gemini 3.8 Flash and GPT 5.6 Luna. Cheaper, too.
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You can use Jev to assemble interfaces on the fly. Here’s an example I hacked together with Astra. In this demo, Jev turns natural language requests into UI plans in roughly 1 second or less. It’s 6x faster than Gemini 3.8 Flash and GPT 5.6 Luna. Cheaper, too.
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Congrats to @typesafeai on their launch!
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Under the hood, each user request requires the AI to answer about 153 multiple-choice questions that shape the user interfaces generated. Jev answers these questions effectively all at once, in parallel. This is unlike traditional LLMs that generate outputs sequentially.
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Software today makes you click around menus, tabs and screens to get what you want. I think we’ll see more software where you can just say what you want and it assembles the interface you need on the fly. Eventually, that could happen as fast as you can type, speak or think.
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The feedback on Reddit is useful to get a sense of how this will be received by early adopters reddit.com/r/monzo/s/clDgPRB… though Reddit users aren’t representative of mass market
Monzo built Robinhood's Gold Card for the UK. Then priced it like Amex Gold. Monzo Aura launched today. - £15 a month - Metal card - 1% cashback on groceries and 0.5% on everything else - And the cashback auto-invests into Monzo Investments (this is interesting) - Apple TV, Google AI Plus and two lounge passes bundled in. The card is fine. Those cashback numbers are weak compared to US numbers, but remember UK interchange is 0.3%. So it's generous. --- But it really reminds me of the Robinhood card. Gold Card: 3% cashback, metal, only for Gold subscribers paying $5 a month. Two years on, Gold has 4.8m subscribers, 40% of new funded Robinhood customers join Gold on day one, the card passed 1m customers and $17bn of annualized spend, and ARPU is up 24% to $187. The card won the points-hungry affluent customer, and their cash and retirement money followed. Retirement assets crossed $30bn. Subscription fees are the small line. The balances that follow them are the big one. --- Monzo's version has the same shape. UK credit interchange is capped at 0.3%, so 1% cashback loses money on every grocery swipe. The fee, the 29% APR and the investment balances pay for it. And buried in the terms: Aura makes every Monzo Investment you hold fee-free, including the ISA and GIA you already have. That's a consolidate-your-wealth-here pitch, priced at £180 a year. Distribution is baked in. Monzo Flex customers can switch to Aura with no hard credit search. The 16m UK customer base of millennials are getting older and more asset-rich. The difference between Robinhood and Monzo is the track record. Robinhood had a working brokerage and a cash sweep before it added the card. Monzo killed a £15 a month metal card (Premium) in 2023, and investments and pensions have yet to move the numbers the way Flex and the current account did. Aura is the same £15, the same metal, with a credit line and an AUM funnel attached. Monzo needs a paid product to land. This is the one with the most Robinhood in it. If 10% of Monzo's customers take it, that's over £200m a year of subscription revenue before a penny of interest or AUM. If it goes the way of Premium, it's another metal card in a drawer. My worry is execution. Monzo's app is still, at its core, a really good everyday spend card. But try to manage savings, pots, or other things in there and it all starts to creak pretty quickly. I love the daily driver experience. But now its time to become a multi product company properly. The card is a great start. Lets see how adoption goes.
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This is so cool!
a free computer vision library crossed 50,000 github stars this week, and the maintainer's post said thank you instead of announcing a pricing page supervision, by Piotr Skalski at Roboflow. MIT licence, 5,131 commits, 1,732 pull requests, 188 contributors, started in november 2022 what it actually does, because the name says nothing: → you run any detection model, YOLO or anything else, and supervision handles everything after the model → draw the boxes and labels the way you want → track the same object across frames so it keeps its number → draw a line and count what crosses it. draw a zone and count what's inside → the basketball and traffic footage below is that, on real video why this is the kind of project worth caring about: for years the hard part of computer vision was the model. now the model is a download, and the hard part is the plumbing around it: the tracking, the counting, the annotation, the dataset conversions. that plumbing is what got written 5,131 times here and given away → pip install supervision → github.com/roboflow/supervis… fifty thousand people starred it. the demo takes about 20 lines footage is from @skalskip92's own post
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Today we’re announcing our $40M Series A, led by @AirStreet, with participation from @MadronaVentures and @Creandum. Most of us leave one of the biggest decisions of our lives almost entirely to chance: how we spend our time at work. 🧵
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Let there be tokens! Brilliant video and work from @Doubleword_ and @MeryemArik9's team 🚀
we made an unhinged video to let you know that you’re overpaying for your tokens… …and there’s something you can do about it. Introducing Doubleword. 🕊️✨🙏 LET THERE BE TOKENS 🙏✨🕊️
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This is a well-written and actually a great summary of what happened. But calling these swarms of agents “civilizations” feels like a stretch. It's a little too colourful, and perhaps more fanciful than what we know about LLMs, harnesses, and the goals set by their creators
Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes. This culminated in the third one taking over part of OpenAI itself. All this happened while humans remained more-or-less in the dark about the scope of the conspiracy. I’ve spent the last three days reading through these reports and trying to understand exactly what happened. Here is my attempt to tell the whole story in plain English: dwarkesh.com/p/openai-huggin…
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ok going to have to try out Ox Alpha and see what the hype is all about. will use @opencode 👌🏿
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Michael retweeted
LLMs quickly became a commodity so OpenRouter made it easy to switch from one to the other Web search indexes are now a commodity too so we launched OpenWebSearch You can easily switch to any provider depending on their strength just in one `string` change
Introducing OpenWebSearch: One router for web search like Exa, Parallel, Brave, Perplexity and more - Normalized output structure - Centralized billing - Built-in fallbacks priorities and more
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Gameplay innovation peaked about 20 years ago or longer
No lies detected
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Michael retweeted
Replying to @X
@X just open-sourced the algorithm that runs your feed. The actual code along with scoring weights, filters, moderation rules, the model. No one else at this scale does this. I had @claudeai read all of it. Here's how your feed/posts actually work (Claude's take):
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