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(1/3) Cut cloud costs by 30% while accelerating AI innovation? Thomson Reuters did. But how? Thomson Reuters used AWS Transform to modernize 1.5M lines of code monthly, freeing resources for next-gen AI products. Ok, but what was the impact?

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As LLMs continue to improve, it's clear that vertical AI agents are key to the next gen of billion-dollar SaaS opportunities. For the Lightcone Podcast, we sat down with Jake Heller, co-founder & CEO of Casetext, Part of Thomson Reuters, to discuss what it takes to build a successful vertical AI company.
0:28

As LLMs continue to improve, it's clear that vertical AI agents are key to the next gen of billion-dollar SaaS opportunities. For the Lightcone Podcast, we sat down with Jake Heller, co-founder & CEO of Casetext, Part of Thomson Reuters, to discuss what it takes to build a successful vertical AI company.

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A former lawyer turned founder, Jake Heller set out to make legal work faster, fairer, and more accessible through AI with Casetext (acquired by Thomson Reuters for $650M in 2023). On the Social Radars, he shares how a weekend with an early version of GPT-4 convinced him to pivot the entire company, what it means to be in founder mode during moments of extreme technological change, and how a decade of grinding led to one of the biggest exits in legal tech. 01:20 – Founding Casetext 03:10 – Early Struggles in Legal Tech 06:00 – The Decade-Long Grind to PMF 08:15 – A Weekend with GPT-4 That Changed Everything 11:30 – Pivoting the Company Around AI 14:40 – Building Trust in AI for Legal Work 17:50 – Scaling Casetext to Thousands of Firms 21:10 – Acquisition by Thomson Reuters for $650M 24:00 – What It Means to Stay in Founder Mode 26:20 – Lessons for Founders in Highly Regulated Industries 28:10 – The Future of AI and the Law
23:41

A former lawyer turned founder, Jake Heller set out to make legal work faster, fairer, and more accessible through AI with Casetext (acquired by Thomson Reuters for $650M in 2023). On the Social Radars, he shares how a weekend with an early version of GPT-4 convinced him to pivot the entire company, what it means to be in founder mode during moments of extreme technological change, and how a decade of grinding led to one of the biggest exits in legal tech. 01:20 – Founding Casetext 03:10 – Early Struggles in Legal Tech 06:00 – The Decade-Long Grind to PMF 08:15 – A Weekend with GPT-4 That Changed Everything 11:30 – Pivoting the Company Around AI 14:40 – Building Trust in AI for Legal Work 17:50 – Scaling Casetext to Thousands of Firms 21:10 – Acquisition by Thomson Reuters for $650M 24:00 – What It Means to Stay in Founder Mode 26:20 – Lessons for Founders in Highly Regulated Industries 28:10 – The Future of AI and the Law

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Roman Yampolskiy says AGI is no longer a question of when, but how much it costs Scaling laws are predictable: the cost has dropped from $1 trillion to $100 billion, and will soon reach $1 billion AI already writes 100% of the code for next-gen models, so recursive self-improvement has already begun
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Roman Yampolskiy says AGI is no longer a question of when, but how much it costs Scaling laws are predictable: the cost has dropped from $1 trillion to $100 billion, and will soon reach $1 billion AI already writes 100% of the code for next-gen models, so recursive self-improvement has already begun

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Something I'm hearing more often: AI wastage is necessary, at least for a while. Cisco's Jeetu Patel says you gotta let people burn through tokens to build the instinct. Now has its first product with zero lines of human code and expects 70% of Cisco's products will be 100% AI-written by end of next year
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Something I'm hearing more often: AI wastage is necessary, at least for a while. Cisco's Jeetu Patel says you gotta let people burn through tokens to build the instinct. Now has its first product with zero lines of human code and expects 70% of Cisco's products will be 100% AI-written by end of next year

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San Francisco: the birthplace of the modern startup. For years, it has been the launchpad for ideas reshaping industries and redefining how we live and work. In a city known for relentless innovation and fierce competition, AWS helps ambitious founders stay at the forefront of AI. We provide funding, resources, and support so that the next generation of builders has what they need to thrive.
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San Francisco: the birthplace of the modern startup. For years, it has been the launchpad for ideas reshaping industries and redefining how we live and work. In a city known for relentless innovation and fierce competition, AWS helps ambitious founders stay at the forefront of AI. We provide funding, resources, and support so that the next generation of builders has what they need to thrive.

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LeetCode is dead. Developers don't write code line-by-line anymore. They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions. That's the job now. But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment. We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:
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LeetCode is dead. Developers don't write code line-by-line anymore. They orchestrate AI agents working in parallel, review AI-generated code, and make architectural decisions. That's the job now. But most interview processes haven't caught up. They still test algorithm memorization instead of AI fluency, code review, and judgment. We're building assessments for next-gen hiring that mirror how developers actually work. Here's how we think about it:

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I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm solving this by: disrupting the world's fastest growing industry = AI + with the most proven business model = Ads You can actually try it out now -- just one line of code, and you unlock all the powers of Claude Code, for free. how it works: 1. sign up on Giga AI Free 2. change Claude Code env variables to use our inference endpoint 2. to support the free usage, we'll add ads inside the AI responses (only contextual and relevant ads, no spam) Since we get too many signups, there's a waitlist, but we'll be rolling it out to the maximum people as we can. Watch the video to get started & comment and retweet to get access first.
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I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm solving this by: disrupting the world's fastest growing industry = AI + with the most proven business model = Ads You can actually try it out now -- just one line of code, and you unlock all the powers of Claude Code, for free. how it works: 1. sign up on Giga AI Free 2. change Claude Code env variables to use our inference endpoint 2. to support the free usage, we'll add ads inside the AI responses (only contextual and relevant ads, no spam) Since we get too many signups, there's a waitlist, but we'll be rolling it out to the maximum people as we can. Watch the video to get started & comment and retweet to get access first.

Namanyay

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Introducing Encore Cloud 2.0: The development platform for the AI era We believe infrastructure and operations need to keep pace with code generation. Over the past few years, 100+ engineering teams have adopted Encore in production and ship more efficiently because infrastructure isn't a bottleneck anymore. Databases, queues, IAM roles, networking, gateways, tracing - all automatic, in their AWS or GCP accounts, with production guardrails built in. Encore Cloud 2.0 takes this foundation further - with enhanced visibility, service catalogs, and MCP integration so both teams and AI agents have the context they need. Everything deploys as standard cloud resources in your cloud account with just a few lines of Encore code to declare what you need - without infrastructure lock-in. Read more in our announcement post below.
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Introducing Encore Cloud 2.0: The development platform for the AI era We believe infrastructure and operations need to keep pace with code generation. Over the past few years, 100+ engineering teams have adopted Encore in production and ship more efficiently because infrastructure isn't a bottleneck anymore. Databases, queues, IAM roles, networking, gateways, tracing - all automatic, in their AWS or GCP accounts, with production guardrails built in. Encore Cloud 2.0 takes this foundation further - with enhanced visibility, service catalogs, and MCP integration so both teams and AI agents have the context they need. Everything deploys as standard cloud resources in your cloud account with just a few lines of Encore code to declare what you need - without infrastructure lock-in. Read more in our announcement post below.

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NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

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1:12

I'm giving Claude Code for FREE (yes the world's best AI -- at no cost at all) My mission is to get the next billion people to write great software, but so many are constrained by costs. We solved this by combining AI with ads (only contextual and relevant ads, no spam). In return, you get the best AI models without needing a credit card. For the next batch, I will choose 500 people randomly who have done the following steps: 1. Comment "GIVE ME SANTA CLAUDE" below 2. Like and retweet this 3. Follow Namanyay and supermemory 4. Sign up on the link in the next tweet Watch this quick video to understand how it works!

Namanyay

293,166 görüntüleme • 9 ay önce

Shopify Head of Engineering: "We have 3,000 engineers acting like 100,000. We're trying to solve the problem of entrepreneurship." in 26 minutes, Farhan breaks down exactly how Shopify turned AI into a profit multiplier, not a headcount cut here's what he covers: - why cheaper tools always mean more builders, not fewer jobs - the "AI leverage" mindset that turns 1 person into a full team - how a single intern saved $600K by deleting 6 lines of code - why the best AI users get to build, not get replaced most people think AI means smaller teams and fewer opportunities the people paying attention are using it to build businesses solo that used to need 50 people how to automate content creation at scale with AI 👇
26:40

Shopify Head of Engineering: "We have 3,000 engineers acting like 100,000. We're trying to solve the problem of entrepreneurship." in 26 minutes, Farhan breaks down exactly how Shopify turned AI into a profit multiplier, not a headcount cut here's what he covers: - why cheaper tools always mean more builders, not fewer jobs - the "AI leverage" mindset that turns 1 person into a full team - how a single intern saved $600K by deleting 6 lines of code - why the best AI users get to build, not get replaced most people think AI means smaller teams and fewer opportunities the people paying attention are using it to build businesses solo that used to need 50 people how to automate content creation at scale with AI 👇

rewind

16,831 görüntüleme • 1 ay önce

In 2026, multi-player AI will eat single-player AI. Right now, most AI tools are built for one human + one model in a private workspace. ChatGPT, Cursor, Claude. Incredibly powerful, but currently optimized for individuals. The impact is massive: drafts, code, specs, campaigns, workflows. But almost none of it is shared, aligned, or contextualized across a team. We've seen this movie before. Cloud 1.0 was just "the same software, but online". The real breakthrough was collaboration. Google Docs beat Word. Figma beat Sketch. Notion beat Evernote. Every single-player tool lost to its multi-player counterpart. AI is about to go through the same transformation. AI 1.0 gave individuals superpowers. AI 2.0 will give teams superpowers. And just like cloud, single-player tools will go multi-player or get replaced. If you're building here, I'd love to talk.
2:20

In 2026, multi-player AI will eat single-player AI. Right now, most AI tools are built for one human + one model in a private workspace. ChatGPT, Cursor, Claude. Incredibly powerful, but currently optimized for individuals. The impact is massive: drafts, code, specs, campaigns, workflows. But almost none of it is shared, aligned, or contextualized across a team. We've seen this movie before. Cloud 1.0 was just "the same software, but online". The real breakthrough was collaboration. Google Docs beat Word. Figma beat Sketch. Notion beat Evernote. Every single-player tool lost to its multi-player counterpart. AI is about to go through the same transformation. AI 1.0 gave individuals superpowers. AI 2.0 will give teams superpowers. And just like cloud, single-player tools will go multi-player or get replaced. If you're building here, I'd love to talk.

Fareed Mosavat

55,384 görüntüleme • 8 ay önce

What used to take 3 weeks of development work can now be finished within 1. 👀 The team at One Acre Fund shares how GitHub Copilot helps them ship faster and set more ambitious goals. Here's their story on how AI is scaling impact for smallholder farmers. 👇
0:28

What used to take 3 weeks of development work can now be finished within 1. 👀 The team at One Acre Fund shares how GitHub Copilot helps them ship faster and set more ambitious goals. Here's their story on how AI is scaling impact for smallholder farmers. 👇

GitHub

30,315 görüntüleme • 9 ay önce

My conversation with Eric Vishria of Benchmark. Eric has spent a decade investing across software and hardware, backing companies like Fireworks, Sierra, Sunday Robotics, and Cerebras. This one is about what history teaches us about the current moment, and a dispatch from inside the AI buildout through his companies. We discuss: - What AWS tells us about how big AI can get - How the goalposts have moved for every software company - Lessons from a decade with Cerebras - China and the energy bottleneck - Benchmark's return to growth investing - Robotics Enjoy! TIMESTAMPS 0:00 Intro 3:36 What Cloud Teaches Us About AI 12:52 Sierra, Sandcastles, and AI Products 17:35 The New SaaS Competitive Frontier 28:28 AI Demand and the Energy Bottleneck 31:28 The Cerebras Story and AI Chips 45:10 The Future of Robotics 52:53 Eric’s Venture Investing Philosophy 1:07:30 Going Public, AI Value, and Jobs
1:17:52

My conversation with Eric Vishria of Benchmark. Eric has spent a decade investing across software and hardware, backing companies like Fireworks, Sierra, Sunday Robotics, and Cerebras. This one is about what history teaches us about the current moment, and a dispatch from inside the AI buildout through his companies. We discuss: - What AWS tells us about how big AI can get - How the goalposts have moved for every software company - Lessons from a decade with Cerebras - China and the energy bottleneck - Benchmark's return to growth investing - Robotics Enjoy! TIMESTAMPS 0:00 Intro 3:36 What Cloud Teaches Us About AI 12:52 Sierra, Sandcastles, and AI Products 17:35 The New SaaS Competitive Frontier 28:28 AI Demand and the Energy Bottleneck 31:28 The Cerebras Story and AI Chips 45:10 The Future of Robotics 52:53 Eric’s Venture Investing Philosophy 1:07:30 Going Public, AI Value, and Jobs

Patrick OShaughnessy

654,308 görüntüleme • 8 gün önce

Whoa, I just used Google's Bard AI to recreate a basic timer app for iPhone in under 4 minutes... just from a screenshot! 🤯 Did not give it hints as to what the app did, and it provided all of the code—it made some mistakes but nothing it couldn't fix! Here's the full process
2:20

Whoa, I just used Google's Bard AI to recreate a basic timer app for iPhone in under 4 minutes... just from a screenshot! 🤯 Did not give it hints as to what the app did, and it provided all of the code—it made some mistakes but nothing it couldn't fix! Here's the full process

Ammaar Reshi

508,457 görüntüleme • 3 yıl önce