Michael Stresing
157 posts
Michael Stresing
@notstresing
building @remedylegalai
London, England Katılım Kasım 2015
491 Takip Edilen1.6K Takipçiler
Fed Fable 5 Remedy's brief.
I think we good 😂
Gary Simon@designcoursecom
No, Fable 5 is not better than GOOD logo designers. 👇Fable 5 logo design tested
English
Michael Stresing retweetledi
New Anthropic research: A global workspace in language models.
Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.
We found a strikingly similar divide inside Claude.
English
We partnered with @remedylegalai for their new brand identity.
Remedy is an AI platform that helps UK tenants fight back against their landlords.
Legal branding almost always goes cold and corporate, the last thing a stressed tenant needs.
We went the other way.
Gassed with how this one came out 🤘
GIF
English
Michael Stresing retweetledi
Michael Stresing retweetledi
All Gods creations long to serve their purpose
English
Michael Stresing retweetledi
A NEW DAWN HAS BROKEN HAS IT NOT?!
Duncan Robinson@duncanrobinson
Ed Miliband is, and has always been, prime minister
English
someone in the office came over to me today and asked if I used worktrees.
when I said I did, he spent 5mins enthusiastically showing me his Zed setup with worktrees and threads.
within 30mins, I'd moved all my current sessions over
aspirational levels of pmf
if you haven't tried it recently, you're missing out big time.
Zed@zeddotdev
We've shipped more than a thousand versions of Zed, but all of them began with zero. Today, that changes. zed.dev/blog/zed-1-0
English
Michael Stresing retweetledi
microsoft MAI tech report is a gold mine, one of the most transparent for a model at this scale.
this model uses zero synthetic data or distillation from previous models. this means reasoning, agentic behavior, tool use are all learned fully during post-training with no cold start. bold choice that makes it harder and requires more iterations to reach sota, but you get FULL control over your model series and it proves they are serious about being a frontier lab.
the tech report is insanely detailed and precise about numbers. to give an example, they give the exact MFU across all the iterations of the model, with the exact changes etc. they also share the full scaling ladder recipe, to my knowledge this is the first time i've seen this in a tech report at this scale
let's look at all of this in this likely very long thread 🧵
Mustafa Suleyman@mustafasuleyman
Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier. First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks. - It’s a 35B active parameter MoE with a 256K context window. Independent human raters on Surge prefer it for overall quality in blind side-by-sides versus Sonnet 4.6, and it’s achieved 97% on AIME 2025, the key measure of its general-purpose reasoning abilities. - It's at 53% on SWE Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks. - And since we co-designed our models with our own silicon, MAI-Thinking-1 is optimized on our MAIA 200 chip. Benchmarking head-to-head against the GB200, we see 30% better performance per dollar as well as a 1.4x performance-per-watt gain when running our MAI models on the MAIA 200 end-to-end. Next is MAI-Image-2.5 and its Flash variant. Two super strong models now at #2 on the leaderboards, surpassing the score of Nano Banana 2 on image editing. Last for now is MAI-Code-1-Flash, our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI. - Code-1-Flash achieves 51% on SWE Bench Pro, despite having just 5B parameters, putting it closer to Haiku in size but cheaper in cost. All of this is the foundation for Microsoft Frontier Tuning. It lets you customize our models to create custom, company-specific agents that only you control. You can make our model, your model. Your data. Your agents. Your moat. Early adopters are already seeing a difference. When we tuned our models for McKinsey’s tasks, MAI delivered the highest win rate, outperforming GPT-5.5 on quality, while being 10x lower on cost. Also really excited to be collaborating with the amazing team at Mayo Clinic to jointly train a new frontier AI model for healthcare. Our announcements today mark another milestone on the road to humanist superintelligence. You can learn more and about our other new models in our latest blog: microsoft.ai/news/building-…
English
Michael Stresing retweetledi
Legal AI superempowers normal individuals with no legal background to fight big institutions in bureaucracies and in courts on a level knowledge/skill playing field, for the first time in human history. As such, it is one of the most inspiring applications of AI.
Jeff Huber@jeffreyhuber
Legal AI is probably the least inspiring application of AI change my mind
English
Michael Stresing retweetledi
Michael Stresing retweetledi
