
Divyam retweeted
THE RESULTS ARE IN 🎉
1,402 hackers.
622 projects.
36 hours of building.
...and now, meet your 8 ETHGlobal Mumbai finalists:
🕸️ Bramble
💳 Tap2ETH
🔐 Quantum Smart Wallet
🚅 RupeeRail
🫨 Air Agents
🤑 Aven
🛕 kalash
🦫 CopeyBara
Here's what they shipped ↓
Divyam retweeted
Huge congratulations to our ETHGlobal Mumbai finalists 🏆
Divyam retweeted
Replying to @ashen_one
Hey it’s me, Anthropic’s #1 hater reporting in
Opus 5 is a new model trained on what they learned from Mythos. Hell, it was probably largely disrupted by Mythos.
Let’s say, hypothetically, Mythos is a big model and as a result of training, it has 100 “capabilities”. Most of them are good, but 5 of them can be bad. This happened because they weren’t working from a fixed set of capability, they were trying to squeeze in as much as possible.
Opus 5 starts from Mythos. They looked at all “100 capabilities”, said “okay we only want these 95 of them”, and then trained hard on those 95 through distillation.
Opus 5 is a much smaller model than Fable/Mythos. They effectively trimmed out the “scary” parts. The alignment benchmarks confirm they were pretty successful with that.
I see how it could look contradictory, but I don’t think it makes sense when you reason about it a bit
Divyam retweeted
Off-the-shelf tools make you work their way.
We build custom automations that work your way.
They find your leads. Kill your busywork. Create your content.
And you approve every move.
Superfluentic is live. 46 seconds, watch it.
Divyam retweeted
Most automation is a black box. You never see what it fires off.
We build you a custom automation team that runs the busywork on autopilot, but ships nothing without your one-tap yes.
Automation you actually control.
Book your audit: superfluentic.com
Divyam retweeted
Introducing: PlayerZero
The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot.
We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more
PlayerZero frees up 30% of your engineering bandwidth by:
1. Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify.
2. Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find.
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Here's why this matters:
No one in your org has a complete picture of how your production software actually behaves.
Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand.
PlayerZero connects all of it into a single context graph -
→ The Slack thread where your lead said "we went with X because Y fell apart in prod last time"
→ The PR review where an engineer explained the tradeoff
→ The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets
So you can trace any problem to its root cause across every silo.
And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows.
So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly.
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Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth.
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Our guarantee:
If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice.
Book a demo - bit.ly/3NlLMeN
Divyam retweeted
GPT-5.4 is launching, available now in the API and Codex and rolling out over the course of the day in ChatGPT.
It's much better at knowledge work and web search, and it has native computer use capabilities.
You can steer it mid-response, and it supports 1m tokens of context.
Divyam retweeted
Thrilled to share that Anthropic has opened our Bengaluru office and is deepening partnerships across India.
This is an exciting step in our commitment to India’s innovation ecosystem- supporting enterprises, startups, and public initiatives with responsible, practical AI.
We’re investing in local talent, meaningful collaborations, and building AI that truly works for India’s scale and diversity. The journey is just getting started.
We’re officially opening our Bengaluru office—our new home base in India, and Anthropic's second office in Asia-Pacific.
India is our second-largest market for Claude.ai. We’re launching new partnerships to deepen our long-term commitment: anthropic.com/news/bengaluru…
Divyam retweeted
Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings.
OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.
Divyam retweeted
The @Replit team is thrilled to kick off the Build India Hackathon with @AnthropicAI & @LightspeedIndia 🇮🇳
Excited to see what builders create and will be sure to showcase more soon!






























