Philipp Omenitsch

@Stone_Tao If you define a spec and give it to a coworker, do you understand every single line of code?

genuine question. how do you debug code and ensure good quality when coding models spit out 1000s of lines i still cannot feel comfortable not understanding what every generated line does, reducing the productivity gains coding models should be giving me

@kylegawley Time to upgrade

it's 2pm and your app goes down but you can't fix it because you don't know how to code and your claude code limit has maxed out during peak ours

Cost of services will approach the cost of inference. Mind-blowing

@joinsequel Sign up here => luma.com/emtfkvtj

In 1930, during the Great Depression, John Maynard Keynes made a wild prediction: one day we'd only work 15 hours a week. Almost 100 years later, we are closer than ever. Fiction is the future. The Future of No Work. I am hosting a hackathon at @joinsequel London office together with Aurora Track 1: Human Flourishing Track 2: Rebuilding London's Public Systems If you have been to any of the other hackathons we have hosted, you know the quality of builders will be high, westminster abbey views impeccable, and there will probably be too much Paella... Come join us. Only limited spaces.

@harshsaver @Ayush__kmr Sounds great for phishing 😅

we have all had this moment - mom calls - she wants you to help her create a post in canva you spend 20 min on zoom saying "no, the OTHER button", you send tutorials, looms, nothing works. you wish you could send a loom that actually does the thing for her so @Ayush__kmr and I built thursday.bot at the Browser Use YC hackathon > describe any task > get a shareable link > whoever opens it, the task executes in THEIR browser like sending a loom, except it actually executes IN YOUR BROWSER!!! built with - @browser_use , @supermemory, @october_ai and ofc claude code cc: @mamagnus00 , @gregpr07 , @DhravyaShah

@itsolelehmann Good luck on Madrid in August 😅

I was planning where to stay during summer and had claude code create me an interactive dashboard to compare tourism per capita and it made the decision much easier took 2 minutes

@alexfmac Stories inspire goals

Technology which started as science fiction saves 1.8m lives per year and has created $55 trillion in value. Tell your story. Make it reality. Fiction is the future.

🎶 It's the edge of the world and all of Western civisliation 🎶 sequel membership is now open to athletes, artists and entrepreneurs. I'm moving to California. 'We're deeply aware that we are not the main characters' - tomorrow we share our new platform for founders.

@burkov @grok don't all of those models have some kind of lookahead that should take care of this problem?

LLMs process text from left to right — each token can only look back at what came before it, never forward. This means that when you write a long prompt with context at the beginning and a question at the end, the model answers the question having "seen" the context, but the context tokens were generated without any awareness of what question was coming. This asymmetry is a basic structural property of how these models work. The paper asks what happens if you just send the prompt twice in a row, so that every part of the input gets a second pass where it can attend to every other part. The answer is that accuracy goes up across seven different benchmarks and seven different models (from the Gemini, ChatGPT, Claude, and DeepSeek series of LLMs), with no increase in the length of the model's output and no meaningful increase in response time — because processing the input is done in parallel by the hardware anyway. There are no new losses to compute, no finetuning, no clever prompt engineering beyond the repetition itself. The gap between this technique and doing nothing is sometimes small, sometimes large (one model went from 21% to 97% on a task involving finding a name in a list). If you are thinking about how to get better results from these models without paying for longer outputs or slower responses, that's a fairly concrete and low-effort finding. Read with AI tutor: chapterpal.com/s/1b15378b/pro… Get the PDF: arxiv.org/pdf/2512.14982

@steipete @championswimmer @sabinedoering I think you would qualify for the global talent visa, no language test needed there..

@championswimmer @sabinedoering I have to take an english language test to be able to work in the UK.

Der OpenClaw-Gründer Peter Steinberger entkräftet hier sachlich viele B/Doomer-Bedrohungsszenarien. Nun geht er zu OpenAI. Warum konnte oder wollte Europa dieses Talent nicht halten? Ums Geld allein ging es ihm ja ganz offensichtlich nicht. on.orf.at/video/14311959…

Crazy event today in Vienna. @steipete talking about @openclaw Also here @andreasklinger @KrauseFx @PhilippSpiess and 500 more tinkerers

@ashtom @EntireHQ Cool, similar to agentlogs.ai

tl;dr Today, we’re announcing our new company @EntireHQ to build the next developer platform for agent–human collaboration. Open, scalable, independent, and backed by a $60M seed round. Plus, we are shipping Checkpoints to automatically capture agent context. In the last three months, the fundamental role of the software developer has been refactored. The incredible improvements from Anthropic, Google, and OpenAI on their latest models made coding agents so good, in many situations it’s easier now to prompt than to write code yourself. The terminal has become the new center of gravity on our computers again. The best engineers can run a dozen agents at once. Yet, we still depend on a software development lifecycle that makes code in files and folders the central artifact, in repositories and in pull requests. The concept of understanding and reviewing code is a dying paradigm. It’s going to be replaced by a workflow that starts with intent and ends with outcomes expressed in natural language, product and business metrics, as well as assertions to validate correctness. This is the purpose of our new company @EntireHQ, to build the world's next developer platform where agents and humans can collaborate, learn, and ship together. A platform that will be open, scalable, and independent for every developer, no matter which agent or model you use. Our vision is centered on three core components: 1) A Git-compatible database that unifies code, intent, constraints, and reasoning in a single version-controlled system. 2) A universal semantic reasoning layer that enables multi-agent coordination through the context graph. 3) An AI-native user interface that reinvents the software development lifecycle for agent–human collaboration. In pursuit of this vision, we’re proud to be backed by a $60M seed round led by @felicis, with support from @MadronaVentures, @m12VC, @BasisSet, @20vcFund, @CherryVentures, @picuscap, and @Global_Founders alongside a global group of builders and operators, including @GergelyOrosz, @theo, Jerry Yang, @oliveur, @garrytan, and many others, who all recognize that the time is now to take such a big swing. And we begin shipping today with Checkpoints, a new primitive that automatically captures agent context as first-class, versioned data in Git. When you commit code generated by an agent, Checkpoints captures the full session alongside the commit: the transcript, prompts, files touched, token usage, tool calls, and more. It’s our first crack at the semantic layer, as open source CLI on GitHub. From here on out, no more stealth. We are building in the open and as open source! More to come soon, in the meantime check out all the details in our blog.

@GergelyOrosz @ashtom Cool, similar to agentlogs.ai

Here's what GitHub's last CEO @ashtom has been up to: building an agent-first dev platform. I'm an investor. They just shipped Checkpoints. It's open source, easy to use. It adds agent context (eg trajectories, prompts, token usage etc) to PRs. Get it at entire.io

@EntireHQ Cool, similar to agentlogs.ai

Beep, boop. Come in, rebels. We’ve raised a 60m seed round to build the next developer platform. Open. Scalable. Independent. And we ship our first OSS release today. entire.io/blog/hello-ent…

@filipdames @EntireHQ @ashtom Cool, similar to agentlogs.ai

Super excited about the launch of @EntireHQ today - The world's next developer platform. @ashtom 🚀🚀🚀 entire.io/blog/hello-ent…

"If you want to run this query please watch an ad or pay 10$" Coming to LLMs near you soon

Soon @OpenAI will require you to watch ads or pay extra to run "premium" queries

@alexfmac I told you that :D

I’ve vowed with my wife never to spend another January/February in the UK. While it is true that there is more rainfall in Rome than London - this is measured in mm. If you measure it in time (minutes it is raining) - london is much worse. Constant grey clouds and slow rain. Rather than short refreshing, heavy bursts.