Pradeep Prakash

A simple way to think about AI agents: LLM = reasoning Tools = actions Memory = context Agents combine all three.

2004 was a good year, but your Gmail address doesn't need to be stuck in it. To say goodbye to v0t3f0rp3dr02004@gmail.com or mrbrightside416@gmail.com (or whatever you were into at the time), go to your Google Account settings and choose any name available. You'll keep your old username and you can sign in with both.

Celebrating #WorldWildlifeDay means more than admiration - it means action. Support conservation, travel responsibly, protect what you can of your local habitats. Small steps from each of us can make a lasting impact on the wild we so cherish.

Running OpenClaw locally? Do it safely. This walkthrough shows how to run it inside Docker Sandboxes with Docker Model Runner: - Isolated microVM - No exposed API keys - Controlled network access - Fully private, local AI setup Secure agent workflows in ~2 commands. Read → bit.ly/4sgSKAy

We are excited to announce Open Day 2026! 📷 Visit our campus on March 7th between 9 am and 5 pm. Explore the exciting research demos, displays, exhibits and experiments! Use the hashtag #IIScOpenDay2026 to share what you see! Details: openday.iisc.ac.in

Today we are launching the Google AI Professional Certificate. Developed by Google experts with input from leading employers. Learn more: grow.google/aiCert

This is one of the best side effects of AI. The other advantage is AI will help us accelerate core engineering as well.

The future of India Starts Here. Join Now.

As an external observer, @SarvamAI came across to me as the standout winner at the AI Summit. Like 100% legit.

We put hiring ad in local Udupi newspaper today. Feeling joyful 😀

By the way, if you're on a job search, were laid off, or cannot afford an iximiuz Labs subscription for any other reason, but need it to study or prepare for interviews, do reach out. I'm always happy to provide free temporary access for folks in need. Only expect honesty in return.

✨ @AnthropicAI's Claude Sonnet 4.6 is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It excels on agentic coding ➡️ It is particularly successful in search operations Try it out in @code or Copilot CLI. github.blog/changelog/2026…

We tested a self-hostable Notion and Obsidian alternative for Markdown lovers linuxhandbook.com/apps/notedisco…

I hope someone funds these kids. Twitter do your magic. :)

Artificial Intelligence is scaling rapidly and there is a lot of hype recently predicting the demise of entire software industry and IT services. The rapid scaling of AI is real and the disruption is also real. However, that does not mean the demise of IT service and software industry will perish in next 1 to 3 years. Adoption depends not only on Tech development but also on infrastructure available, regulation and type of industry. Let’s look this point wise to separate hype from reality. Productivity gains will be real. Over a period of 5 years, a Team of 20 will be reduced to 5 because the repetitive tasks will be automated. Capability gains in AI is will not be equal to diffusion. To implement AI, there are multiple parameters need to be taken care of like legacy system, compliance, cyber security, integration. Infrastructure takes time for an upgrade. To give an example the overall cloud adoption worldwide is still <50%. Speed of implementation will vary across the industry. In Life sciences the adoption will be slower than let say adoptions in financial services operations. Reason being the cost of error in drug discovery or in a cure of a disease is of different magnitudes. Jevons Paradox is also applicable here. There are a lot of projects that are not prioritized due to budget constraints. If AI realizes massive productivity gains, then in a similar budget more projects can be prioritized reducing the impact on employment initially. Coding will be automated but architecture, system integration and domain knowledge will still require engineers. The major change will be in business models for the companies. It will move from FTE based to outcome based. Profits for these IT companies will be less predictable as we move to outcome-based model. People at the forefront of AI research does not agree on time lines. Below I have provided 2 links of Dwarkesh Patel’s podcast with Dario Amodei of Anthropic and Andrej Karpathy. Dario Amodei youtube.com/watch?v=n1E9IZ… Andrej Karpathy youtube.com/watch?v=lXUZvy… Both are at the forefront of research but believes in different timelines. Anderj mentions a timeline of 10 to 15 years while Dario mentions a timeline of 1 to 3 years. Dario gives a shorter timeline but has given confidence levels with timelines. He believes with 50% confidence in 1 to 3 years, 90% confidence in 10 years. If we look at the history it should take about 5 to 7 years for a realistic implementation for AI at scale as scale also brings its own issues which are not foreseen. In these 5 to 7 years, we should accelerate focus on retraining the workforce to work with AI agents.

Very good insights from Nandan Nilekani at Infosys AI meet - This time the AI transition has been much faster than earlier transitions - The AI speed faster because internet was already ubiquitous. - It therefore allowed people to distribute a ChatGPT/Gemini or cloud - The speed of AI is also because of the infrastructure of the previous era AI will change the talent model; Nature of jobs will change It's a huge challenge for talent - It will have to deal with the world, where writing code will not be the goal - It'll be actually making AI work, orchestration - Therefore the jobs will change - This is a fundamental root and branch surgery of the way business is done, which is why this technology transition is so dramatically different from anything else that we have seen The AI transition is dramatically different from the technology transition we have so far seen* - - Gen AI is a massive, massive cleanup job, which everybody has to fundamentally clean up - There are more state and non state actors who are getting better at using AI, so security is a huge problem for everyone - But the good news is for the first time, because of AI, we have the tools to do modernization fast and economically - AI is good for us because firms like Infosys will do that job - Our view is that foundational systems will increasingly become systems of record - There's a huge amount of work required (for IT companies) once clients go towards build, rather than buy [ - Because of the race and spending billions, technology is moving faster than the ability of enterprises to deploy There is a deployment gap between power of AI and capacity of businesses to use it - Talent transformation is huge - You will need talent such as QA testing or development - We have all kinds of new roles AI engineers, forward deployment engineers, AI leads, forensic analyst *The way you hire will change, the way you train will change, the way you deply the technology will change* - Taking brownfield systems and modernizing them is a hell of a lot more difficult than doing greenfield development

Anthropic Academy just dropped FREE AI courses that could replace a $10,000 degree. $0. No catch. No gatekeeping. Here are 6 AI courses that could separate you from everyone else in 2026:

Model Context Protocol (MCP) lets Gemini CLI connect to your databases, cloud services, and local files without custom integrations for every tool! Watch this week’s livestream to see how it works → goo.gle/4aNxCf0

@chandrarsrikant Now AI has impact on hotels too.. Unprecedented!!😆

Rs 30-lakh rooms, sold-out hotels: Delhi sees demand boom as Pichai, Altman headline AI summit Room rates at top luxury hotels have crossed Rs 30 lakh a night ahead of the upcoming AI Impact Summit, scheduled just a week from now, as the city prepares to host some of the world's most influential tech leaders, including Sundar Pichai and Sam Altman. A ‘Garden Luxury Suite' with a king bed and pool view at the Taj Palace is priced at Rs 27.55 lakh per night during the AI Summit, with taxes of around Rs 5 lakh taking the total bill to nearly Rs 32 lakh for stays between February 16 and 20. On February 13–14, the same room is available for about Rs 2 lakh a night, including taxes. Tariffs during the summit period are nearly 1,500 percent higher than the Valentine's Day peak. By @maryamf_writes moneycontrol.com/artificial-int…

Git Merge vs Git Rebase vs Git Squash (explained in 2 mins or less):