Aditya Chhabra

Claude says you hit the limit.” But the real problem isn’t messages. It’s context. Most people don’t realize Claude re-reads the entire conversation every time you send a prompt. So longer chats = faster burn rate. That’s why you can hit limits in 10 minutes without even doing heavy work. A few ways to avoid it • Start fresh chats more often • Don’t dump unnecessary context every prompt • Use Projects for reusable files/context • Save instructions once instead of repeating them • Use Sonnet for most work, Opus only when needed AI productivity is becoming less about prompting and more about context management.

@OpenAI and @Anthropic are approaching AI cybersecurity very differently and that’s what makes it interesting. OpenAI’s Daybreak = fast, always-on security checks inside the dev workflow. Anthropic’s Claude Mythos = deeper threat analysis and attack-path reasoning. Daybreak is the smoke detector. Mythos is the fire investigator. One reduces exposure faster. The other helps understand complex breaches better. The future of cybersecurity likely needs both. What matters more for your team right now: faster detection or deeper analysis? #CyberSecurity #AI #DevSecOps

@sama People remember personality more than version numbers.

what if we name the next model "goblin" almost worth it to make you all happy...

@chatgpt21 We’re moving from “AI as a tool” to “AI as an autonomous worker.”

Codex made me money without me doing anything.. Huge turning point for me today, I asked Codex to go off and make me $5. It went out, found a small open-source security/audit bounty path, made a legit PR, followed up with the maintainer, kept my payment details private - (without me asking), handled the GitHub proof/verification loop, and got the work merged. it spent about 22 hours working on multiple security audits. Today I received my first payment from that experiment: $16.88. That’s a $506.40/month run-rate if repeated daily. Not life-changing money yet, but it's deeply exciting to live out Sam Altman's vision for AI, where it will just go out and make money for you. It's awesome to start to see the beginning of that.

Malware is getting harder to detect. Threat actors are now using AI-generated “junk code” and decoy logic to confuse analysts and evade detection systems. Examples like LONGSTREAM and CANFAIL show how LLMs are already changing malware obfuscation.

AI-assisted zero-day exploits are here. Google identified a likely AI-assisted 2FA bypass exploit in a popular admin tool. Not brute force. Not traditional scanning. The LLM reportedly helped reason through application logic flaws humans often miss.

Google’s latest AI Threat Intelligence report just confirmed what many security teams feared: AI is no longer just helping defenders. It’s becoming infrastructure for cyber offense. Here are the biggest takeaways

300,000+ servers running @Ollama may be exposed to a critical security flaw. Researchers discovered: CVE-2026-7482 Nickname: “Bleeding Llama” Severity: CVSS 9.1 The bug allows remote memory leakage from Ollama instances. Meaning attackers could access: → prompts → API keys → internal data → source code → environment secrets Biggest issue? Ollama exposes itself on all interfaces by default with no authentication layer. If it’s reachable from the internet, it’s a serious risk. AI adoption is accelerating. AI security needs to accelerate faster. #InfoSec #AI #DataBreach

@Claude is about to get a lot faster. Here's why. @Anthropic has signed a deal with @SpaceX to use the entire Colossus 1 data center in Memphis. → 220,000+ Nvidia GPUs → 300+ megawatts of compute → All of it going to Claude What this means for you right now: Claude Code rate limits — doubled Peak hour restrictions — removed for Pro & Max Claude Opus API limits — significantly raised And it doesn't stop there. Anthropic and SpaceX are also exploring AI data centers in space. Orbital compute. Gigawatts of it. This deal comes on top of existing agreements with Amazon, Google, Microsoft and Nvidia. Anthropic is making sure compute is never the bottleneck again. The AI race is moving fast. And Claude just got a serious upgrade. #AI #Anthropic #Claude #SpaceX #AINews #Tech

This weekend, don't open Netflix. Open YouTube instead. Here are 3 free videos that will actually teach you AI 1.Master 97% of Codex in 1 Hour No coding background needed. One sitting. That's it. 👉 youtu.be/3TdD8Qv5Tk8?si… 2. Full Claude Cowork Tutorial for Beginners Claude isn't just a chatbot. This shows you how to put it to work on your computer for real tasks. 👉 youtu.be/JdQ_FHgP5ms?si… 3. Andrej Karpathy From Vibe Coding to Agentic Engineering The co-founder of OpenAI on where AI is headed next. Watch this to stop feeling behind. 👉 youtu.be/96jN2OCOfLs?si… RT if this helps someone in your feed

@ClaudeDevs Higher limits + no peak-hour reductions = more confidence in compute capacity. The real AI race is now models + infrastructure together.

Usage limits are up, effective today we're: 1) Doubling Claude Code's 5-hour limits for Pro, Max, Team and seat-based Enterprise plans 2) Removing peak hours limit reduction on Claude Code for Pro and Max plans 3) Substantially raising our API rate limits for Opus models

@michaelgrowth @claudeai Software optimization helps, but eventually every AI company runs into physical infrastructure constraints: compute, GPUs, networking, power, and inference capacity.

@claudeai So the issue for customers has been COMPUTE restraints? While simultaneously gaslighting everybody that it was a software issue?... So you're publicly admitting you weren't able to render the services paid for? In any other industry this would be an easy class action...

We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.

@claudeai @SpaceX The AI race is no longer about models alone. It’s about who can scale inference faster than demand. Claude × SpaceX is a very strategic move.

Everyone’s talking about MCPs, but most are just API wrappers. APIs: fixed request → fixed response MCPs: model decides what to call, when, and how If your API returns 50 fields and the model needs 1, you’re wasting tokens and hurting accuracy Good MCPs are selective, not verbose The edge isn’t the model It’s the context #AI #MCP #LLM

@AnatoliKopadze 100% accountability? Still human

Anthropic CEO: "AI will write 100% of code within a year" developers spend 4 years in university learning to code Claude learned it from every book ever written if the hardest skill is already handled - the gap is no longer about what you know it's about how well you've configured the tool that knows everything most people haven't done that yet the article below is where you start

@GoogleCloudTech @LangChain @hwchase17 We’ve crossed the phase of “look what AI can do.” Now it’s about “can this run daily without breaking?” @GoogleCloudTech

Is agent harness engineering the new prompt engineering? @LangChain co-founder and CEO, @hwchase17, joined us at #GoogleCloudNext to explain why the "harness" is the secret to moving AI agents from a cool demo to a reliable production reality → goo.gle/4tjbyze

Everyone is “using AI” But at which stage are you actually at ?

@satyanadella Excel used to reward people who knew formulas. Now it rewards people who know what to ask. @ErnestWongBWM @satyanadella

We’ll take it 😊 Copilot is getting better fast, and Excel is one of the best places to see that. More to come…

@mitchmalone @openclaw @OpenAI what’s been the biggest game-changer for you so far? @mitchmalone

Oh man, @openclaw with @OpenAI Codex 5.5 is insanely good. It’s so good.

@sundarpichai AI is clearly becoming the core engine now, not just a feature.

Q1 earnings are in: 2026 is off to a terrific start. Our AI investments and full stack approach are lighting up every part of the business: Search queries are at an all-time high with AI continuing to drive usage. Google Cloud revenue grew 63%, Gemini models have incredible momentum, and it was our strongest quarter ever for consumer AI subs, driven by @GeminiApp. Thanks to our partners + employees around the world. Much more to share on our earnings call in 20 minutes… and at Google I/O in 20 days!