Rohan Vaidyanathan

Drums, music, ai, prod @Hyland | @KelvinInc_, @IBM

[Ian Macomber @iandmacomber]

The Modern Data Stack is over, long live the Post-AI Data Stack🫡🤖

I wrote about how technological shifts change what a data team can build, the features of post-AI data stacks, what we've built at @tryramp, and what data teams can learn from @nbcsnl.

https://t.co/W3GEXDLdjY

[Jeff Huber @jeffreyhuber]

I’ve been looking forward to today for 3 years

Today we’re announcing Foundation - Chroma’s solution to memory

Our research preview of this technology builds self-improving memory from your agent sessions. Try it out at https://t.co/DpynS0vnSd

[Sandhya @sandhya]

https://t.co/uAxtFPV5mC

[Harrison Chase @hwchase17]

https://t.co/aZnKZ1SVXB

[Garry Tan @garrytan]

https://t.co/EVPCod6rxu

[Jaya Gupta @JayaGup10]

https://t.co/Vn0KVhQQg4

[Jaya Gupta @JayaGup10]

https://t.co/IcLsopvUhQ

[Chroma @trychroma]

Introducing Chroma Context-1, a 20B parameter search agent.

> pushes the pareto frontier of agentic search

> order of magnitude faster

> order of magnitude cheaper

> Apache 2.0, open-source

[Jamin Ball @jaminball]

https://t.co/5dJFcGNAKz

[cat @_catwu]

The PM playbook was built on an assumption that the technology underneath your product is roughly stable

With the current pace of model progress, this is no longer true. Here's how we've evolved the PM role:

[cat @_catwu]

3/ Revisit features with new models

Every model release, go back through your list of features that were too hard for the previous model and test the ideas again. Also, remove the extra scaffolding that is no longer needed.

[Jason Walls @walls_jason1]

Yesterday Mark Cuban reposted my work, DM'd me, and told me to keep telling my story.

So here it is.

I'm a Master Electrician. IBEW Local 369. 15 years pulling wire in Kentucky. Zero coding background. I didn't go to Stanford. I went to trade school.

Every week I'd show up to a home where someone just bought a Tesla or a Rivian. And every time, someone had already told them they needed a $3,000-$5,000 panel upgrade to install a charger.

70% of the time? They didn't need it.

The math is in the NEC — Section 220.82. Load calculations. But nobody was doing them for homeowners. Electricians upsell. Dealers don't know. And the homeowner just pays.

I got angry enough to build something about it.

I found @claudeai. No coding experience. I just started talking to it like I'd explain a job to an apprentice. "Here's how load calcs work. Here's the NEC code. Now help me build a tool that does this."

6 months later — @ChargeRight is live. Real software. Stripe payments. PDF reports. NEC 220.82 calculations automated. $12.99 instead of a $500 truck roll.

I'm still pulling wire. I still take service calls. I wake up at 5:05 AM for work.

But something shifted.

Yesterday @vivilinsv published my story as Claude Builder Spotlight #1. Mark Cuban saw it. The Claude community showed up. And for the first time, I felt like this thing I built in my kitchen might actually matter.

I'm not a tech founder. I'm a dad who wants to coach little league and be home for dinner. I just happened to build something that helps people.

If you're in the trades and thinking about using AI — do it. The barrier isn't technical skill. It's believing you're allowed to try.

https://t.co/cDVdY5mcLv

[Osho @oshosidhant]

Cricket Is an Inexact Sport

In Football, a goal is a goal. In Tennis, a game point is a game point. In sprints, one microsecond is one microsecond. Once a goal is scored or a foul is done - the argument ends. The scoreboard becomes paramount.

Football, tennis, athletics - these are sports of rules. Technology in these sports exists to erase ambiguity in decision making: Hawk-Eye, goal-line technology, photo finish technology. The purpose of technology is not interpretation but verification. The rules are executable.

Cricket actively resists finality. Cricket is, by design, an inexact sport.

From its very grammar, its history, cricket embodies a different philosophy. It does not speak of rules. It speaks of laws - codified by the Marylebone Cricket Club since the 18th century. Rules demand obedience whereas laws require judgment. Rules assume uniformity but laws take context into account.

Cricket can not be played without context. Context of time, of place, of intent and of decaying pitch. Remove context, and cricket collapses into an unrecognisable game.

1/n

[Jaya Gupta @JayaGup10]

https://t.co/uPXcTUEsnc

[Ryan Petersen @typesfast]

On April 17th the U.S. Trade Representative's office is expected to impose fees of up to $1.5M per port call for ships made in China and for $500k to $1M if the ocean carrier owns a single ship made in China or even has one on order from a Chinese shipyard. 🧵 1/

[AI at Meta @AIatMeta]

Today is the start of a new era of natively multimodal AI innovation.

Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality.

Llama 4 Scout
• 17B-active-parameter model with 16 experts.
• Industry-leading context window of 10M tokens.
• Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks.

Llama 4 Maverick
• 17B-active-parameter model with 128 experts.
• Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image.
• Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks.
• Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters.
• Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena.

These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight.

Read more about the first Llama 4 models, including training and benchmarks ➡️ https://t.co/9G3QgVdCkB
Download Llama 4 ➡️ https://t.co/eVomRvEr0w

[Gergely Orosz @GergelyOrosz]

A good reminder why you can pick up GenAI - and you probably should. Real story:

Small company, 5 devs. Last time they hired was 12 years ago. AI comes out: company wants to add AI feature. But they don't have the expertise. So hire an AI agency.

Agency spend 3 months planning:

[Sebastian Siemiatkowski @klarnaseb]

Yes, we did shut down Salesforce a year ago, as we have many SaaS providers—an internal estimate is about 1,200 SaaS shut down.

Not the end of Salesforce; might be the opposite.

Here is what actually happened and how/why we originally intended to NOT share it publicly:

[Coby @Cobylefko]

As the year ends, I wanted to provide an update on our quest to build the best new housing in America.

The purpose of this project is not to claim, or be given, this title with objectivity, but rather the pursuit itself. If we aim high, we may well fail, but we will fail well

[Shreya Shankar @sh_reya]

how come nobody is talking about how much shittier eng on-calls are thanks to blind integrations of AI-generated code? LLMs are great coders but horrible engineers. no, the solution is not “prompt the LLM to write more documentation and tests” (cont.)