■Order issued for OC Exemption for Power, which is one of New #Karnataka Govt's 1st 8 announcement.
■ Applicable for Buildings built on plot size upto 2400 Sqft
■ Applicable for G+3 or Stilt parking + 4
■ Expected to bring a relief for about 4 lakh buildings in #Bengaluru@DKShivakumar@CMofKarnataka
@kripalamanna ragi mudde + Upp Saaru + Kara...
😋
Next time please try hot rice + Upp Saaru + Kaara...
Finally .. Left over Upp Saaru in the plate + Kara + Butter Milk 🙂
India’s fertility rate has fallen below replacement for the first time in the country’s history, declining from a TFR of 2.3 to 1.9 in just a decade.
Delhi’s fertility rate now sits at 1.2, lower than Finland’s.
Follow: @AFpost
Jayanagara Mess, near Jayanagar metro station. A nice simple meal (unltd) - ragi mudde, upsaru with khara (rly spicy), palya of boiled lentils/ greens, rice, ghee and sambar (generous with peas/ potato/ veggies). Around 7 months old, not a bad addition/ mess at all :)
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Enroute to Kabini, tucked away in the HD Kote region, is Sri Durga Veg Mess where Mr. Bhaskar & Mrs. Rajeshwari have spent 40 years feeding travellers from their 4-table home mess. 🍛✨ No grand promises - just honest ragi mudde, upsaaru & boundless warmth.
Watch the journey! 🎬👇🏽
https://t.co/brMfibT7G8
@foodloversindia
Doesn't Karnataka also need one ?
where bjp... as an opposition really doesn't exist + adjustment politics openly visible + not having very strong leaders... A vacuum.. bsy, anantkumar, eshwarappa.
Karnataka is slipping away.
Unsure if @BJP4India is even aware of ground reality.
ppl had given unconditional support.
Except a few MLAs & MPs .. all others are not grounded & not working for constituency & usual rhetoric for formality.
@narendramodi@NitinNabin@blsanthosh@nabilajamal_@smitharanganath@harishupadhya@ARanganathan72
Mysuru Development Authority (MDA) officials seen working late into night on June 4.
Star of Mysore checks the activity at 11.30 pm.
All sections of MDA office were operational, with lights on across corridors.
Seeing cameras, staff members and middlemen left the premises hurriedly.
Some officials moved quickly with files, making notes, and working with urgency.
Vehicles belonging to senior officers were seen parked outside MDA office.
However, designation nameplates in front of vehicles were removed.
They were and kept inside the vehicles, adding to the intrigue.
The next day, June 5, none of the officials came to office even at 10.45 am.
Most chambers were vacant despite strict biometric attendance system.
What work is being carried out at night that cannot be done during the day?
Why is it being done after office hours? That too at midnight?
How are individuals other than officials being allowed into the inner sections of MDA?
What is the purpose of deploying security personnel if middlemen can gain free access?
ನಮ್ಮ 24ನೇ ಮುಂದೆ ಬನ್ನಿ ಸಂಚಿಕೆ ಈಗ ನಿಮ್ಮೆದುರು. ಭಾರತದ ಐಟಿ ದಿಗ್ಗಜರಿಗೆಲ್ಲ ಎ.ಐ ಜ್ವರ ಬರುತ್ತಿದ್ದರೆ ಇವರಿಗೆ ಅದೊಂದು ಅಗಾಧ ಅವಕಾಶಗಳ ಬಾಗಿಲು ತೆರೆಯುತ್ತಿದೆ.
ಇಂಡೋನೇಶಿಯಾದ ಅತೀ ದೊಡ್ಡ ಸ್ಟಾರ್ಟ್ ಅಪ್ ಗೋಜೆಕ್ ಅನ್ನು ಆ ಮಟ್ಟಕ್ಕೆ ಬೆಂಗಳೂರಿನಲ್ಲಿ ಕೂತೇ ಬೆಳೆಸಿದ ಟೆಕ್ನಾಲಜಿಯ ಸಾರಥಿ ಇವರು.
ಎ.ಐ ಕುರಿತು ನಾವು ಮಾಡಿದ ಸಂಚಿಕೆಗಳಲ್ಲೇ ಹೊಸ ಬಗೆಯ ನೋಟಗಳುಳ್ಳ ಸಂಚಿಕೆ ಈ ಬಾರಿಯದ್ದು. ರಿಯಲ್ ಫಾಸ್ಟ್ ಎ.ಐ ಸ್ಥಾಪಕರಾದ @ponnappa ಅವರೊಡನೆ ನಮ್ಮ ಹೊಸ ಸಂಚಿಕೆ.
ನೋಡಿ, ನಿಮ್ಮ ಸ್ಟೇಟಸ್ ಗೆ ಹಾಕಿ. ಮೂರು ಬಾರಿ ಹೈಪ್ ಮಾಡಿ. ನಮ್ಮ ಶ್ರಮಕ್ಕೆ ನಿಮ್ಮ ಸಣ್ಣದೊಂದು ಬೆಂಬಲ ಕೋರುತ್ತೇವೆ. 🙏 Link in the comments
Word of the day: Ashamed
Kapil Sibal is ashamed after attacks on TMC leaders like Abhishek Banerjee and Kalyan Banerjee.
2021:Mr Sibal represented Bengal police in cases filed by victims of post poll violence. He said NHRC (which reported multiple rape, murder cases) was biased
One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations.
The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below.
The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs.
However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality.
Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on.
What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities.
[Original text: The Batch newsletter]
Since few weeks... BJP Karnataka & it's leaders are getting very negligible media coverage.
What is it indicating? Are they losing relevance slowly in the current political landscape in Karnataka ?
Since 3yrs they are not playing the role of a strong opposition inside/outside Vidhan Soudha. TV panelists debating in Kannada News channels... are really bad.
Too many non-performers, Some into adjustment politics, be it MLAs or MPs. Zero connect with people. 2028 & 2029 is not going to be a good one for them.
@NitinNabin@narendramodi@nsitharaman@rajnathsingh@blsanthosh@RShivshankar@ShivAroor@harishupadhya@ARanganathan72@smitharanganath@smitaprakash
We spoke to global and Indian firms on surging AI costs. Perspectives from OpenAI, Zerodha, Together Fund, among others...
“You don't necessarily need frontier intelligence for every aspect or every portion of a workflow" Thomas Jeng of OpenAI
Jeng said sophisticated enterprises are already moving toward layered deployments where different models are used depending on the complexity of the task.
“It’s generally a good idea to have a combination of different things and to be judicious about how you're applying the technology."
That distinction received far less attention during the first phase of enterprise AI adoption.
At the time, leadership teams were largely focused on making sure employees actively used AI tools. The broader assumption was that higher AI usage would naturally translate into higher productivity.
Inside some companies, AI usage itself slowly became a marker of employee productivity.
Kailash Nadh, CTO of Zerodha, believes parts of the industry pushed that behaviour too aggressively.
“Large parts of the industry have been doing completely illogical things like incentivising and even pressuring employees to significantly increase their token usage as a proxy for measuring productivity,” he told Moneycontrol.
“And needless to say, force-fitting LLMs into places they don't belong.”
The industry even developed its own informal phrase for the phenomenon: tokenmaxxing.
The problem enterprises are now running into is that rising AI usage does not automatically mean proportional increases in business output.
Part of the reason enterprises were caught off guard is because AI pricing behaves differently from traditional enterprise software.
Most SaaS products scale predictably through seats or subscriptions.
Generative AI scales through activity: Every prompt, retry, uploaded file, generated response, and context window increases token consumption.
The economics become more complicated once enterprises move beyond simple chatbot interactions into AI systems capable of handling long-running workflows.
“Previously people just used to use chat and now they are moving into an agent-deployed flow,” said Pratyush Choudhury, investment professional at Together Fund, an investor in vibe coding startup Emergent.
“What happens in an agent-deployed flow is, agents keep running.”
According to Choudhury, enterprises are increasingly experimenting with “long-horizon tasks”, where AI systems continuously execute workflows instead of responding to isolated prompts.