Mamal Amini

@KrisLachance Always such an honour hosting you!

Always good to experience the GovernGPT hospitality

Growth is non-linear; more importantly you can amass leverage in exponential fashion.

I strongly believe A-player leverage will 10x over the next few years. The overlap of passion and aptitude is the only way to win.

Biggest leverage I see with AI, isn’t the first product - it’s the second and third product that’s built on on top of the first product.

🧑‍💻 Request for Design Partners 👩‍💻 At YC, I work with a number of highly technical young founders who can build mind-blowing stuff with the latest AI-based tools. But they don't yet have connections to old, established industries, and so they're struggling to identify problems that big businesses will pay for. To bridge this gap, I'm looking for people working in the following sectors: - Banking - Insurance - Law - Audit & Compliance - Healthcare If you're doing people-heavy services work and you think that some LLM-powered software would make your job 10x easier, I'd love to connect you with some smart technical founders in your space 🚀

Anthropic just dropped an incredible guide on "How To Build Effective Agents" 2025 will be the year of AGENTS 🤖 Here's everything you need to know: 🧵

Even the richest guy on earth pulls the “it’s oversubscribed” line when raising money.

@JD_DeYonker I love this guy!

Researchers introduced ExBody2 an advanced whole-body controller for humanoid robots It essentially allows humanoids to mimic human-like motions better through training with RL in simulation and transferring to real robots x.com/xuxin_cheng/st…

Google released Gemini 2.0 Flash Thinking Experimental The model pauses to "think" through complex problems like OpenAI's o1, but is free to use through AI Studio and the Gemini API x.com/lmarena_ai/sta…

Figure update: 31 months after establishing our company, Figure now generates revenue! This week, we delivered Figure-02 humanoid robots to our commercial client, & they're currently hard at work x.com/adcock_brett/s…

I recently sat down with @AminiMamal, YC-backed founder and CEO of GovernGPT, to discuss how he is automating manual tasks within the private markets. Excited to see his company's growth and continued innovation within the space! foundersbrief.co/p/how-mamal-is…

How can machine learning students make an impact in their work? Canada CIFAR AI Chair @apsarathchandar (@Mila_Quebec @polymtl @UMontreal) gives advice to ML students about the value of engaging in applied projects in addition to academic work.

100% Fully Software 2.0 computer. Just a single neural net and no classical software at all. Device inputs (audio video, touch etc) directly feed into a neural net, the outputs of it directly display as audio/video on speaker/screen, that’s it.

@frantzfries @frantzfries you should talk with @maxrumpf

we removed the AI-powered search from our docs because it was unreliable and made up fake features still waiting for the production-grade llm that can reliably produce data without hallucinations long way to go

I'm sure there's a technical fix people will try: Weigh the citations/impact with some expected value based on existing h-index/university ranking. A bit like TF-IDF. But I'm sure that can be gamed and people will game it. I don't really have a good solution – I mostly read stuff on referral or if it's cited by a paper I really liked and read. But that really doesn't ensure diversity of ideas: People only recommend what confirms their beliefs and only cite what agrees with them (obviously). Generally, things get better as a research area becomes more mature, because for obscure stuff it's almost impossible to tell quality. "Does this new NN architecture really outperform given the only benchmark was also invented by the authors in the same paper?"

@maxrumpf Let me ask you this: what do you propose as a filtering mechanism for people? How do we weigh one source over another? Most papers aren’t general enough, they’re bending the truth to serve their narrative.

arxiv might kill small universities and labs. i love arxiv & open access, and agree that journals are pretty toxic, but arxiv leads to a credentialing of academia and i'm unsure we've considered the second-order effects. arxiv lets people publish ~unfiltered work, so readers create their own filters when evaluating a paper. the easiest filters are credentials: is this work from a famous university or professor? or has someone like @_akhaliq recommended it? if the answer to both of these questions is no, e.g., because it's a young researcher from a second-tier institution, vanishingly few will read her work and consider the ideas – no matter how good they are. the lesson? if you're an ambitious researcher and you want your ideas to get a fair shake, you *have to* go for the name-brand professor and institution. this creates a death spiral for second-tier institutions. maybe even worse: it means academia slowly drifts from a battle of ideas to a battle of accolades. the existing experts become the gatekeepers to new ideas. dangerous! could a lowly swiss patent officer still publish a paper that changes physics and the world in this new era?

@maxrumpf The fake hierarchy we’ve created is probably the best way to give some measure of how to weight all the info we’re regularly bombarded with. I agree with you entirely that this is not incentivizing good ideas purely for being good ideas.