Pavel Durov@durov

🤦‍♀️ Jensen made a rookie mistake. He had a board.

In 2014, my board kicked me out for saying no to spies.

In 2026, Jensen’s board kicked him out for saying yes to one.

So the board gets you either way.

Founders: Don’t have a board.

Be the board 😏

Vaibhav Domkundwar@vaibhavbetter

With AI collapsing any technical moat that existed in the past, almost every business will look the same. We are only investing in founders who have deeply internalised this and are not dreamy about how their AI product is differentiated. There is no differentiation, unless you are solving frontier problems.

So the vast majority of current and new startups will be built primarily on focus, execution capabilities, GTM strength, domain expertise, deep customer understanding and more - a wide range of small powers combined to give some advantages.

And capital will not solve this problem because it is not a capital problem necessarily.

That is why this is the best as well as worst the time to build - any investor that presents only the bull case is misleading ...at the very least.

Sundar Pichai@sundarpichai

Today we’re launching the Gemini Decisions API, powered by our new Gemini Decision 1 model in @GoogleAIStudio.

Instead of generating text token by token, it’s built for closed-set choices scoring up to 1,000 questions across text, images, audio, video + PDFs in a single pass. A few details:

– 3 decision types: yes/no, multiple choice (up to 255 options) + rubric scoring
– $0.10 / 1M input tokens with $0 billed for output tokens (~5x cheaper than Flash-Lite)
– leads on several benchmark evals with lowest calibration error

Google teams are already building with it, below is a look at Stitch Rapid designing a full product flow in seconds (1x speed)

Professor G R Sinha@profgrsinha

DRDO Paid Internship 2027 -Engineering & Science

An Opportunity for eligible UG and PG students to gain hands-on research and technical experience with the Defence Geoinformatics Research Establishment (DGRE), DRDO, Chandigarh.

🔹 Internship Duration: 6 Months
🔹 Monthly Stipend: ₹5,000
🔹 Internship Start Date: 1 January 2027
🔹 Last Date to Apply: 6 December 2026

Eligible Disciplines:
🎓 Undergraduate (B. Tech. – Final Year)
Computer Science & Engineering – 2 positions
Civil Engineering – 2 positions

🎓 Postgraduate (2nd Year M. Sc./M.Tech)
Remote Sensing / Geoinformatics – 2 positions

Eligibility Criteria:
▪️ Minimum 75% marks or 7.5 CGPA
▪️ Age below 28 years
▪️ Indian citizens pursuing full-time courses
▪️ Internship must be part of the degree programme
▪️ Recommendation letter from Principal/HOD/TPO.

📍 Location: DGRE, Sector 37-A, Chandigarh

📌 Applications must be submitted through Speed Post in the prescribed format.

Advertisement: drdo.gov.in/drdo/sites/defau…

Students meeting the eligibility criteria are encouraged to explore this opportunity and gain valuable exposure to research and defence-related applications.

Please share with eligible students and academic institutions.

#DRDO #PaidInternship #Internship2027 #EngineeringStudents #ResearchOpportunities #RemoteSensing #Geoinformatics #ComputerScience #CivilEngineering #StudentOpportunities #HigherEducation #ProfGRSinha @DRDO_India

jack@jack

buzz 1.0 is finally here! the most flexible team workspace out there. for humans and agents, model agnostic, local or cloud, and infinitely extendable.

buzz.xyz

Francis Davidson@FDavidsonT

OpenAI Acquires Odessia

I’m thrilled to announce that Odessia was acquired by OpenAI, and that I will be joining the team to focus on the future of travel.

Read original on X

a16z@a16z

HubSpot co-founder and CTO Dharmesh Shah says ChatGPT and Claude are the new browsers, and like browsers, they won't own the whole software stack:

"Everything kind of comes back around again. When we saw the original SaaS development moving to the web-based application world, we had the same kind of thing. We had client-server apps running on our desktops. And then we had this browser thing come along, Internet Explorer and later Mozilla."

"But as it turns out, Google did not own the entire application stack. There were lots and lots of software companies that got built. The interface became the browser because that was a convenient way to get to the actual product that you needed to get to."

"We have a similar thing now. And it's different, because the AI is doing cognition work, it's doing actual smart things. But if you just look at the ChatGPT and Claude Cowork thing, they're effectively the new OS. They are the new browsers. And there will be companies like HubSpot that sort of plug in."

@dharmesh

Pushmeet Kohli@pushmeet

Announcing a major milestone achieved by my team @GoogleDeepMind: we have proven key security properties of the machine code underlying the Signal messaging protocol. This is the first time the actual production code of a widely deployed protocol has been formally verified – by any method, with or without AI – and at this depth.

More than a research breakthrough, it’s a prime example of how frontier AI can be a force multiplier to counter the speed and scale of modern cyber threats.

Formal verification offers a higher standard of security; however, it’s extremely complex and time consuming, which is why in many cases it’s considered to be impractical. Similar efforts could take teams decades of combined effort. We did it in a month’s time.

Using AlphaProof Code, Google DeepMind’s new agentic framework for formal verification that runs on LLMs including Gemini Carbon, we verified the Signal protocol down to the actual code running on devices. This milestone lays the groundwork for a future in which vital systems, from medical device firmware to power grid software, ship with mathematical proof that their protections work.

Reaching that future will take continued research from our community. In that spirit, we’re open-sourcing our formal specifications and verification artifacts so others can build on this work.

On a personal note, this moment is of deep significance to me. I started my own research journey more than two decades ago as an intern working on checking the consistency of complex software systems. Seeing this grand challenge made practical with modern AI is extraordinary.

I’m extremely proud of my team members: Swarat Chaudhuri, Andrew Ferraiuolo, Anton Kovsharov, Tej Chajed, Sam Schlesinger, Karn Seth, Jonathan Katz, and Charles Sutton for taking on this grand challenge and delivering, and grateful to the Signal team for their partnership.

deepmind.google/blog/formal-…

Soham Sankaran@sohamsankaran

AI-designed viruses are coming, and our team @PopVaxIndia is building the Immune Engine to produce medicines against these threats within 4 weeks from sequencing. We’re basing this work, led by @hcherzig, in London because of the UK’s prescient vision in AI safety & biosecurity.

Just as @ukgov were the first government to establish an AI safety & security lab @AISecurityInst, they are now the first government to set up a dedicated organisation to combat the biosecurity risks created by generative AI, which require a different approach than natural threats.

We’ve been talking with the team building the AI Biosecurity Lab over the past few weeks, and we’re confident that they’re building an institution that is capable of meeting the enormous challenges that lie ahead. We look forward to working with them to help secure the world against the threat of AI-enabled bioweapons.

Anand Mahindra@anandmahindra

I recently posted about the irony of India coming back into favour with global investors, partly because we were seen as being outside the supposedly overheated AI trade.

But perhaps there’s another way to look at it.

Stanford now ranks India #3 in global AI vibrancy.

No, we don’t make the most advanced chips or lead the race in foundational LLMs.

But I’m reminded of an analogy I used in Tech Mahindra’s Annual Report.

Smartphones created the platform. Apps unlocked their potential. James Carville famously said, “It’s the economy, stupid!” Perhaps the AI version should be, “It’s the ecosystem, stupid!”

The real explosion of applications, domain expertise & enterprise-wide deployment may still lie ahead.

And with our software talent, systems integration expertise & enormous domestic market for AI use cases, surely India has a promising hand to play?

Perhaps India isn’t just a refuge from the AI hype. It may have a compelling AI opportunity of its own.

And if that’s true, the renewed interest in Indian equities may have more staying power than we think…

Pavel Durov@durov

🤦‍♀️ Jensen made a rookie mistake. He had a board.

In 2014, my board kicked me out for saying no to spies.

In 2026, Jensen’s board kicked him out for saying yes to one.

So the board gets you either way.

Founders: Don’t have a board.

Be the board 😏

Vaibhav Domkundwar@vaibhavbetter

With AI collapsing any technical moat that existed in the past, almost every business will look the same. We are only investing in founders who have deeply internalised this and are not dreamy about how their AI product is differentiated. There is no differentiation, unless you are solving frontier problems.

So the vast majority of current and new startups will be built primarily on focus, execution capabilities, GTM strength, domain expertise, deep customer understanding and more - a wide range of small powers combined to give some advantages.

And capital will not solve this problem because it is not a capital problem necessarily.

That is why this is the best as well as worst the time to build - any investor that presents only the bull case is misleading ...at the very least.

Sundar Pichai@sundarpichai

Today we’re launching the Gemini Decisions API, powered by our new Gemini Decision 1 model in @GoogleAIStudio.

Instead of generating text token by token, it’s built for closed-set choices scoring up to 1,000 questions across text, images, audio, video + PDFs in a single pass. A few details:

– 3 decision types: yes/no, multiple choice (up to 255 options) + rubric scoring
– $0.10 / 1M input tokens with $0 billed for output tokens (~5x cheaper than Flash-Lite)
– leads on several benchmark evals with lowest calibration error

Google teams are already building with it, below is a look at Stitch Rapid designing a full product flow in seconds (1x speed)

Professor G R Sinha@profgrsinha

DRDO Paid Internship 2027 -Engineering & Science

An Opportunity for eligible UG and PG students to gain hands-on research and technical experience with the Defence Geoinformatics Research Establishment (DGRE), DRDO, Chandigarh.

🔹 Internship Duration: 6 Months
🔹 Monthly Stipend: ₹5,000
🔹 Internship Start Date: 1 January 2027
🔹 Last Date to Apply: 6 December 2026

Eligible Disciplines:
🎓 Undergraduate (B. Tech. – Final Year)
Computer Science & Engineering – 2 positions
Civil Engineering – 2 positions

🎓 Postgraduate (2nd Year M. Sc./M.Tech)
Remote Sensing / Geoinformatics – 2 positions

Eligibility Criteria:
▪️ Minimum 75% marks or 7.5 CGPA
▪️ Age below 28 years
▪️ Indian citizens pursuing full-time courses
▪️ Internship must be part of the degree programme
▪️ Recommendation letter from Principal/HOD/TPO.

📍 Location: DGRE, Sector 37-A, Chandigarh

📌 Applications must be submitted through Speed Post in the prescribed format.

Advertisement: drdo.gov.in/drdo/sites/defau…

Students meeting the eligibility criteria are encouraged to explore this opportunity and gain valuable exposure to research and defence-related applications.

Please share with eligible students and academic institutions.

#DRDO #PaidInternship #Internship2027 #EngineeringStudents #ResearchOpportunities #RemoteSensing #Geoinformatics #ComputerScience #CivilEngineering #StudentOpportunities #HigherEducation #ProfGRSinha @DRDO_India

jack@jack

buzz 1.0 is finally here! the most flexible team workspace out there. for humans and agents, model agnostic, local or cloud, and infinitely extendable.

buzz.xyz

Francis Davidson@FDavidsonT

OpenAI Acquires Odessia

I’m thrilled to announce that Odessia was acquired by OpenAI, and that I will be joining the team to focus on the future of travel.

Read original on X

a16z@a16z

HubSpot co-founder and CTO Dharmesh Shah says ChatGPT and Claude are the new browsers, and like browsers, they won't own the whole software stack:

"Everything kind of comes back around again. When we saw the original SaaS development moving to the web-based application world, we had the same kind of thing. We had client-server apps running on our desktops. And then we had this browser thing come along, Internet Explorer and later Mozilla."

"But as it turns out, Google did not own the entire application stack. There were lots and lots of software companies that got built. The interface became the browser because that was a convenient way to get to the actual product that you needed to get to."

"We have a similar thing now. And it's different, because the AI is doing cognition work, it's doing actual smart things. But if you just look at the ChatGPT and Claude Cowork thing, they're effectively the new OS. They are the new browsers. And there will be companies like HubSpot that sort of plug in."

@dharmesh

Pushmeet Kohli@pushmeet

Announcing a major milestone achieved by my team @GoogleDeepMind: we have proven key security properties of the machine code underlying the Signal messaging protocol. This is the first time the actual production code of a widely deployed protocol has been formally verified – by any method, with or without AI – and at this depth.

More than a research breakthrough, it’s a prime example of how frontier AI can be a force multiplier to counter the speed and scale of modern cyber threats.

Formal verification offers a higher standard of security; however, it’s extremely complex and time consuming, which is why in many cases it’s considered to be impractical. Similar efforts could take teams decades of combined effort. We did it in a month’s time.

Using AlphaProof Code, Google DeepMind’s new agentic framework for formal verification that runs on LLMs including Gemini Carbon, we verified the Signal protocol down to the actual code running on devices. This milestone lays the groundwork for a future in which vital systems, from medical device firmware to power grid software, ship with mathematical proof that their protections work.

Reaching that future will take continued research from our community. In that spirit, we’re open-sourcing our formal specifications and verification artifacts so others can build on this work.

On a personal note, this moment is of deep significance to me. I started my own research journey more than two decades ago as an intern working on checking the consistency of complex software systems. Seeing this grand challenge made practical with modern AI is extraordinary.

I’m extremely proud of my team members: Swarat Chaudhuri, Andrew Ferraiuolo, Anton Kovsharov, Tej Chajed, Sam Schlesinger, Karn Seth, Jonathan Katz, and Charles Sutton for taking on this grand challenge and delivering, and grateful to the Signal team for their partnership.

deepmind.google/blog/formal-…

Soham Sankaran@sohamsankaran

AI-designed viruses are coming, and our team @PopVaxIndia is building the Immune Engine to produce medicines against these threats within 4 weeks from sequencing. We’re basing this work, led by @hcherzig, in London because of the UK’s prescient vision in AI safety & biosecurity.

Just as @ukgov were the first government to establish an AI safety & security lab @AISecurityInst, they are now the first government to set up a dedicated organisation to combat the biosecurity risks created by generative AI, which require a different approach than natural threats.

We’ve been talking with the team building the AI Biosecurity Lab over the past few weeks, and we’re confident that they’re building an institution that is capable of meeting the enormous challenges that lie ahead. We look forward to working with them to help secure the world against the threat of AI-enabled bioweapons.

Anand Mahindra@anandmahindra

I recently posted about the irony of India coming back into favour with global investors, partly because we were seen as being outside the supposedly overheated AI trade.

But perhaps there’s another way to look at it.

Stanford now ranks India #3 in global AI vibrancy.

No, we don’t make the most advanced chips or lead the race in foundational LLMs.

But I’m reminded of an analogy I used in Tech Mahindra’s Annual Report.

Smartphones created the platform. Apps unlocked their potential. James Carville famously said, “It’s the economy, stupid!” Perhaps the AI version should be, “It’s the ecosystem, stupid!”

The real explosion of applications, domain expertise & enterprise-wide deployment may still lie ahead.

And with our software talent, systems integration expertise & enormous domestic market for AI use cases, surely India has a promising hand to play?

Perhaps India isn’t just a refuge from the AI hype. It may have a compelling AI opportunity of its own.

And if that’s true, the renewed interest in Indian equities may have more staying power than we think…