Dinesh Chandrasekhar

Founder/CEO/CMO/Analyst @stratolallc Tweets about #realtime #AI #Automation #GenAI #LLM #datainmotion #streamingdata

[Dinesh Chandrasekhar @AppInt4All]

Oh wow! This sounds insanely real. We are headed into a whole new world of scamming.

[Ragavan Thurairatnam @RagavanThurair]

We made the first AI model you can have a realistic conversation with that was trained entirely on speech!

Dessa is a full-duplex speech-to-speech model that you can run on consumer GPUs.

This is a GPT3 moment for speech.

[Dinesh Chandrasekhar @AppInt4All]

@jaykreps The ironic thing is that even the US Govt is not going to agree on pacing frontier AI (even if the companies says so). We need to pace our own foreign policies and tech policies at the same speed first.

[Jay Kreps @jaykreps]

A lot of otherwise smart people on Twitter seem 100% convinced AI risks are all fake and stupid and part of some marketing ploy. What is surprising is that some of these people seemingly also believe that AI’s positive uses are on an incredible trajectory of increasing capability with no end in sight. VC Twitter is particularly infected by this pattern. It’s not really coherent.

Most positive use cases for AI have a corresponding “dark version”. If you are super human at coding, you are also super human at hacking. If you are superhuman at structural engineering you are likely superhuman at finding structural flaws to knock buildings down. If you are superhuman at designing drugs, you are superhuman at designing novel undetectable poisons. If you can cure viruses, you can create them. Some of these “dark versions” are not so bad, and some are actually pretty scary. Either way these are real societal and technical problems that need to be solved to get the good stuff and avoid the bad stuff. We’re experiencing the first of these with coding and computer security which is the most advanced, but that won’t be the last. I think we’ll be able to solve these problems, but they aren’t solved yet and if you believe in continued AI progress they are surely coming.

But “bad people using AI” is not the only problem. Uncontrolled AI autonomously doing bad things, despite sounding kind of nutty, is also something we should be concerned about. AI “killing us all” is not the most likely outcome, but the chance of a major civilization-wide catastrophe doesn’t have to be very high for it to be a concern. Again, this is only a problem if capabilities advance to a point that AI can do really crazy things on their own, which hasn’t happened yet, but I think the Hugging Face incident is a good example of the outline of how things can go wrong when capabilities outpace alignment. We should be glad that the only available bad thing right now is hacking, which isn’t all that bad. It’s clear that as you get to superhuman capabilities you need a level of alignment and control that is correspondingly superhuman. Humans have plenty of misalignment problems themselves (serial killers, mass shooters, tyrants, etc), but it’s a manageable problem because most humans can’t do that much damage and we’ve developed systems to prevent dangerous humans from getting too much power.

Talking about these issues is just common sense. It’s not a sign of some kind of neuroticism or pessimism. These are just hard problems that it’s very important to solve for AI to have a positive impact. I’m pretty confident we will solve them. But we haven’t solved them yet, and to my mind we are clearly on a trajectory of rapidly increasing capabilities which means this is important. Mocking people who are worried about this or talking about it, without anything substantive to say about how we can be sure these problems won’t arise, is not really a very helpful contribution.

[Ramya Chinnadurai 🚀 @code_rams]

https://t.co/ey663Xlmt7

[rohit @krishnanrohit]

So I downloaded bunch of moltbook data and reddit data and did some comparative linguistics. The results are interesting.

[Ethan Mollick @emollick]

Had Claude Code build a little plugin that visualizes the work Claude Code is doing as agents working in an office, with agents doing work and passing information to each other. New subagents are hired, they acquire skills, and they turn in completed work. Fun start.

[Dinesh Chandrasekhar @AppInt4All]

@recap_david @therecapai Newsletter

[RisingWave @RisingWaveLabs]

🔥 Happens THIS WEDNESDAY!
Trends to Watch in the Data Infra & AI Space in 2026 2026 panel discussion with @SanjMo, @AppInt4All, Ben O'Mahony and @YingjunWu!
🎟️Save your spot: https://t.co/8KxncnltY2

[Avthar Sewrathan @avthar]

💥NEW AI CODING TUTORIAL: How To Start Claude Code Projects The Right Way (@claudeai )

TIMESTAMPS
00:00 Don't make the same mistake I did
02:30 Phase 1: PLAN
02:54 2 Questions to ask before starting
04:44 How to use AI to help you plan
06:14 Creating a project spec doc
11:36 Phase 2: SETUP
12:04 GitHub Repo setup
13:32 Create your environment variable file (.env)
13:50 CLAUDE md (and what to put in it)
15:57 Automated Project Documentation
18:24 Install Plugins
19:33 Install MCP Servers
20:52 Setup Custom Slash Commands and Sub-agents
23:22 Advanced setup: Preconfigure Permissions
24:09 Advanced setup: Hooks
24:55 Phase 3: BUILD
25:41 Building Your MVP with Claude
26:33 Workflow 1: Single Feature Development
27:49 Workflow 2: Issue based development
29:19 Workflow 3: Multi-Agent Development (Multi-Clauding)
30:39 Tips for Building Productively
33:04 Applying what you learned

[Jaana Dogan ヤナ ドガン @rakyll]

I'm not joking and this isn't funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, not everyone is aligned... I gave Claude Code a description of the problem, it generated what we built last year in an hour.

[JigsawML @JigsawML]

Architectural Intelligence is starting to show up in real industry conversations.

In this interview, @AppInt4All discusses why understanding how systems are structured - across code, cloud, and data - matters as much as observing runtime behavior.

As AI writes more of the software, a living architectural context becomes essential.

Thanks, @TonyBaer, for advancing the conversation.

https://t.co/G4crHlUCOG

[Dinesh Chandrasekhar @AppInt4All]

#GPT5 is like a teen that follows 2 out of 4 instructions given to it. Read our report on the @OpenAI launch. @stratolallc #ai #llm #GenAI #llama #gemini #claude

https://t.co/X6vqDM0Ws2

[Dinesh Chandrasekhar @AppInt4All]

@ScottWapnerCNBC - “Not all barbells are created equal” 😂 #megacaps #bigtech

[Unstract @GetUnstract]

🙌 Join @GetUnstract at @InsurTechNY 2025!

➡️ Discover how to successfully navigate AI in automating insurance workflows with @AppInt4All and @narenism at #Booth 14

➡️ Ask us how to leverage AI to eliminate manual processes involving unstructured data.

[Unstract @GetUnstract]

Unstract is excited to sponsor InsurTech Spring Conference in NYC, April 2-3!

🎤 Join @narenism & @AppInt4All at BOOTH 14 InsurTech NY

🔍 Want to revolutionize your insurance workflows?

[Dinesh Chandrasekhar @AppInt4All]

The one word you don’t want a typo on at a Kafka event! 🤦‍♂️ #current25

[Confluent, an IBM Company @confluentinc]

Just announced at #Current25: Tableflow is now generally available, bringing real-time analytics, AI, and modern data apps to life with real time business context in just a few clicks.

What’s new?
🌟 GA support for Apache Iceberg™
🌟 New early access for Delta Lake, powered by our expanded @Databricks partnership
🌟 Seamless integrations with AWS Glue (@AWS_Partners) & @SnowflakeDB Open Catalog
Watch our demo video and get a deep dive on Tableflow in our blog. -> https://t.co/jrcE7BJuHk Let’s start building!

[Dinesh Chandrasekhar @AppInt4All]

Attending a conference in India is such a unique experience. Bollywood music pumping out before the keynote, filter coffee dripping at all stations, food is actually good, reverent crowd vibe, CEO lights a lamp than dashing onto stage with a loud intro music
#current25 #bengaluru

[Dinesh Chandrasekhar @AppInt4All]

#emails #federalworkers #weeklyupdate

[RTInsights.com @RTInsights]

Learn how AI-driven real-time decision-making is reshaping capital markets in this webinar, sponsored by @kxsystems and hosted by RTInsights partner and @stratolallc Chief Analyst @AppInt4All ➡️ https://t.co/xYywvtPEfY

#AIinFinance #RealTimeData #DataImmediacy #CapitalMarkets