AI for Science @Microsoft • 2x Founder • @ForbesUnder30
San Francisco, CA
Joined October 2013
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Nirman Dave retweeted
We now have state-of-the-art pre-trained base models in the 3T-parameter weight class, built entirely in-house at MAI.
Post-training results coming soon -- stay tuned!
Lots of details in our technical blog post.
microsoft.ai/news/frontier-p…
Nirman Dave retweeted
Introducing Microsoft-Decision-1, our new model for fast decision-making.
It delivers top performance on structured decision tasks, outperforming both LLMs and other decision models in latency and quality.
We’re already testing it across Microsoft for everything from incident response and quality control to scientific discovery.
Nirman Dave retweeted
We're launching the most accurate real time transcription model in the world... #1 !!!
55% faster and 60% cheaper than ElevenLabs.
Come build agents on our platform!
Microsoft AI has released MAI-Transcribe-2-Streaming, taking the #1 spot for Final Transcript accuracy and First Partial Transcript accuracy on AA-WER Streaming with 2.5% WER at 0.13s after end of speech
MAI-Transcribe-2-Streaming is @MicrosoftAI's new streaming Speech to Text model, joining the non-streaming MAI-Transcribe-2. It leads streaming Final Transcript WER at 2.5%, ahead of the previous #1, SpaceXAI's Grok Voice Transcribe 2.0 at 2.7%, and returns that transcript in 0.13s rather than 0.49s. It is available for streaming transcription at $0.54 per hour of audio, at the higher end of pricing among the leading streaming models.
Key takeaways
➤ Final Transcript: MAI-Transcribe-2-Streaming achieves 2.5% WER at 0.13s after end of speech, ranking #1 of 38 models. It is more accurate and faster than Grok Voice Transcribe 2.0 at 2.7% and 0.49s, Muse Voice Transcribe at 3.1% and 0.16s, and ElevenLabs Scribe v2 Realtime at 3.6% and 0.14s. It is also more accurate, though slightly slower, than Cartesia Ink Preview (external endpoints) at 3.1% and 0.11s
➤ First Partial Transcript: The model achieves 2.5% WER at 0.12s, ahead of Grok Voice Transcribe 2.0 at 3.4% and 0.49s, and ahead of Muse Voice Transcribe and ElevenLabs Scribe v2 Realtime on accuracy, both at 3.6%, and slightly faster than both at 0.12s versus 0.13s. It is more accurate but slower than Cartesia Ink-2 (external endpoints) at 4.0% and 0.07s
➤ Price: MAI-Transcribe-2-Streaming costs $0.54 per hour for streaming, or $9.00 per 1,000 minutes. This puts it level with Gemini 3.5 Transcribe Live at $9, above the $6.50 charged for ElevenLabs Scribe v2 Realtime and Deepgram Flux, more than twice Cartesia Ink-2 at $4, and three times Muse Voice Transcribe at $3. Non-streaming transcription costs $0.10 per hour, or $1.67 per 1,000 minutes
Congrats to the @MicrosoftAI team on the launch!
See more details below
Nirman Dave retweeted
Is AI actually speeding up drug discovery?
According to new McKinsey research, there are early signs that it is: all of these candidates were AI-enabled, with discovery time cut by ~15-80%.
(Incredibly bullish)
Nirman Dave retweeted
Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.
We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive.
And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control.
So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk.
The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.
This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.
Nirman Dave retweeted
Your entire life will change when you realize energy is the most attractive human trait. Not looks, wealth, or status. Energy. Start walking into rooms with genuine enthusiasm, curiosity, and interest. Watch what happens. You become a magnet for the highest quality people. Energy is contagious. Spread the kind you’d want to catch.
Nirman Dave retweeted
Don't join a startup just because you feel, the corporate life looks boring and you're not moving. You will be surprised, startups also have politics, manager drama and pointless meetings. And for a long time, you won’t know whether the company is early, growing or running out of money. Your job description will change every few months and it will confuse you. You may be hired for marketing but will be asked to do cold calling and reply to customer support and you've to leave your ego in your closet before getting to work. Nobody will give you complete instructions because nobody has complete answers. You need high agency and low entitlement which means you must pick up problems that don’t may not belong to you. Choose the founders more carefully than you choose the startup. Watch how they behave when things go wrong, because things will go wrong. Choose a honest founder, they may share genuine and useful stuff online. And not the ones doing video reels. Join them because you want to learn how to think, build, sell like them. The greatest upside of working at a startup might not be the equity but the person you become while earning it. A startup is not a smaller corporate. It is a half built company where your job is to help finish building it while everything looks like a struggle. Choosing the right people you are willing to struggle with is your decision.
Nirman Dave retweeted
I love agentic coding harnesses, but they shouldn't be primarily terminal-based. The terminal is great for quick and precise commands, but information density is extremely low and UI affordances are minimal. Maybe provision of TUIs is worthwhile for occasional use (when establishing a tunnel is too annoying, or something), but it feels very strange for this to be the default modality. It took a long time for dynamic language REPLs to break out of the terminal (Jupyter notebooks and similar); I hope we don't have to wait as long for the harnesses.
Nirman Dave retweeted
to put ai progress in perspective:
9 months ago: most developers wrote code by hand
now: misaligned multi-agent swarm finding and collaborating on 0-days undetected (OpenAI/hugging face)
9 months in the future likely much crazier
Nirman Dave retweeted
I see so many people founding because they want to be founders.
Almost all lack a contrarian thesis for why the world should be different.
There are about a dozen companies that matter each decade and meaningfully shape how the world works.
You should generally optimize for contributing meaningfully to one of those.
Nirman Dave retweeted
A sunny day in Mountain View. Like every other day.
Jeff, Sanjay, Oriol and Quoc walk into a VC office on Sand Hill. The VC is on his second oat latte and has fourteen minutes blocked for this.
Jeff: So. We decided to build our own company.
VC: Okay, great, love that. Who's "we"?
Jeff: The four of us.
VC: ...All of you?
Jeff: Yes.
VC: All four. In one company. Together.
Jeff: That's right.
VC: I'm giving you $100 million right now.
Jeff: We haven't shown you anyth-
VC: You know what, forget it. A billion. One billion dollars.
Sanjay: We prepared a deck.
VC: I don't want the deck.
Jeff: It's only eleven slides.
VC: Two billion.
Oriol: Slide one is the mission.
VC: Three.
Oriol: "Automate machine learning, science and engineer-"
VC: FOUR. Four billion. Stop reading.
Quoc: Should we talk about the market?
VC: If you say the word "market" I will go to five and I have not cleared five with my partners.
Jeff: We were also thinking about being a Public Benefit Corp-
VC: Five.
Jeff: Do you want to hear the technical approach?
VC: Six billion. Please leave. Please leave...
Jeff: Nice to talk with you!
VC: Seven, please go 😥
They leave. It's still sunny. It's always sunny. The deck was never opened.
Nirman Dave retweeted
Zams – your AI-powered AE copilot – is live.
Early users are accelerating follow-ups, auto-syncing Salesforce, and compressing deal cycles—closing 31% more pipeline in just 60 days.
No playbooks. No Zaps. Just type “Update stage, push forecast, fire off recap,” and it’s done.
Try Zams now (before your VP of Sales tells you to).
👇 Link in Thread 👇
Nirman Dave retweeted
Ship AI Agents Like You Ship Product.
Drag-Drop-Deploy. Your AI Agent is Ready.
Zams Turns Builders Into AI Commanders.
Last night’s AI Agent Building Night with @zamshq & @eChaiVentures-Unreal. Talked to co-founder @iamnirman and Live demo by @chinmaypingale1 were electric.
Nirman Dave retweeted
#AI #Governance Revolution: From Rulebooks to Principles
As published by @zamshq :
zams.com/blog/ai-governance-…
#artificialintelligence #digitaltransformation @IanLJones98 @Shi4Tech @lyakovet @IngridVasiliu @dinisguarda @FrRonconi @DeepLearn007 @avrohomg @bimedotcom @sallyeaves @richardturrin @helene_wpli @Khulood_Almani @sonu_monika @mvollmer1 @AkwyZ @EstelaMandela @Nicochan33 @mikeflache @psb_dc @Xbond49 @Eli_Krumova @NevilleGaunt @efipm @AlbertoEMachado @chidambara09 @jeancayeux @PMaroney_tech @PerBBerggreen @smaksked
@RagusoSergio @AnthonyRochand @pierrecappelli @bamitav @enilev @JagersbergKnut @ipfconline1 @pierrepinna @CurieuxExplorer @TerenceLeungSF @Fabriziobustama @SpirosMargaris @FinMKTG @KanezaDiane @GlenGilmore @debashis_dutta @Hana_ElSayyed @drsharwood @nafisalam
Nirman Dave retweeted
I’m back in the zero to one stage (after running a multi-hundred million dollar co for 6yrs 😅) & remembering how fundamentally different this is.
When you have a team and customers and a working business — you get pulled.
You wake up with a million requests from people and can only work on the top 1-3 things for the company at a time. You’re always on and responding to the world. Momentum just exists and you have to intentionally carve out time to think. The challenge is selection.
When you don’t have a team or product or customers and are trying to create something from nothing, you have to push.
If you don’t create work, there is no work. No one is calling you or needing you. You have to create momentum where there is none. You could spend endless time thinking. You have to force yourself to do. The challenge is creation.
Both stages are fun, but there’s something ultra special about building from nothing.
Excited to be back in the trenches again. 🤩