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Google Sheets Unveils Sheets Canvas for Interactive Data Visualization
- Sheets canvas allows users to transform spreadsheet data into interactive, visual dashboards with simple prompts.
- The new feature requires no coding, making it accessible for anyone to create custom layouts for various projects.
- Updates made in the Sheets canvas are automatically synced with the original spreadsheet, ensuring real-time accuracy.
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OpenAI’s GPT-5.6 Sol introduces lightning-fast Ultrafast mode
- GPT-5.6 Sol’s Ultrafast mode can process data up to 14 times faster than the standard version.
- The new mode generates up to 750 output tokens per second, enhancing productivity for developers.
- OpenAI is testing Ultrafast across various applications, including coding and financial research, to maximize speed benefits.
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Google’s AI hiring filters raise red flags for job seekers
- Insiders at Google caution candidates about the company’s AI-based hiring filters.
- The use of AI in recruitment is sparking controversy, with claims of bias against certain applicants.
- Job seekers are increasingly using technology to navigate the hiring process, complicating the landscape.
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LinkedIn’s New Tool Flags Posts as ‘AI Slop’
- LinkedIn has introduced a ‘seems like AI slop’ button to help users identify low-quality posts.
- The feature aims to combat generic content, regardless of whether it was generated by AI.
- VP of Product Laura Lorenzetti emphasizes the importance of maintaining meaningful conversations on the platform.
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Cisco’s security revenue soars 14% amid AI-driven cyber threats
- Cisco’s security revenue reached $2.2 billion in Q4 2026, a 14% increase year-over-year.
- The rise of agentic AI is driving demand for advanced cybersecurity tools to combat evolving threats.
- Over 1,500 customers adopted new Cisco security products, with firewall orders growing by over 30%.
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Z.ai launches GLM-5.3, boosting coding and cybersecurity prowess
- GLM-5.3 sets new records for open-source AI models, outperforming its predecessor GLM-5.2 by 50% on coding benchmarks.
- The model has identified over 2,400 vulnerabilities across 269 software projects, with many flaws rated medium or higher in severity.
- Z.ai utilized advanced training techniques, including specialized sandboxes, to enhance the model’s long-horizon coding capabilities.
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Anthropic Unveils Model 2 Amid Rising AI Risks
- Anthropic’s new Model 2 is deemed more capable than its predecessor, Claude Mythos 5.
- The latest AI risk report raises concerns about alignment, increasing the risk level for certain AI scenarios from ‘very low’ to ‘low.’
- Model 2 is being utilized internally for software development and AI training, but its rapid advancement poses potential safety challenges.
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Why do indian parents resist protein powder?

For many young Indians, starting protein powder is not just a nutrition decision. It can become a negotiation with the family.
OPXP’s analysis of conversations around protein supplements in India shows that parental resistance tends to come from five overlapping beliefs: fear of steroids, fear of health damage, faith in traditional foods, distrust of supplements, and decades of familiarity with products such as malt-based health drinks.
1. Protein powder is still confused with steroids
One of the strongest misconceptions is surprisingly basic: protein powder is sometimes treated as a steroid, drug, or bodybuilding substance rather than as a concentrated source of dietary protein.
People describe having to convince their parents that “protein powder isn’t steroids.” One person recalled buying whey only for his father to think he was taking drugs.
This matters because once whey gets mentally classified alongside steroids, the argument is no longer about whether someone needs more protein. It becomes an argument about whether they are doing something dangerous.
2. Parents worry that whey protein damages the kidneys or heart
The second major barrier is health anxiety.
Across conversations, people describe parents worrying that whey protein could cause kidney damage, illness, or even heart problems associated with bodybuilding. One version of the belief is effectively:
“One scoop of whey = kidney kharab.”
So the perceived trade-off looks completely different to the parent and the child.
The younger consumer sees whey as an efficient way to increase daily protein intake. The parent may see an unnecessary packaged product carrying potentially serious health consequences.
3. Traditional indian food beliefs compete with protein targets
The deeper conflict is often about what counts as adequate nutrition.
Parents frequently fall back on familiar foods and their own experience:
- “Khana khaya kar, weakness ho jaegi.”
- Dal is assumed to provide enough protein for the household.
- Rice may be perceived as a meaningful protein source.
- Parents point to their own youth: we ate normal food and were fit at your age.
This creates two competing models of nutrition.
One is based on traditional ideas of a balanced home-cooked diet. The other thinks in terms of daily protein requirements, grams of protein, body weight, training goals and macronutrients.
The disagreement over whey is therefore partly a disagreement over how nutrition itself should be measured.
4. Protein becomes a household argument
This isn’t merely a product objection.
People describe attempts to increase protein intake turning into recurring fights, with family members complaining that they only talk about “protein, protein.”
One commenter who identified as a doctor said that convincing even their own parents was extremely difficult.
That is commercially important. The person consuming the product may not be the only person influencing the purchase.
For younger consumers living with their families, parents can effectively become hidden stakeholders in the protein-buying decision.
5. Familiar packaged nutrition gets a free pass that whey doesn’t
There is also a striking trust asymmetry.
Some consumers point out that products such as Complan and Bournvita-style malt drinks became normalized in Indian households, while whey protein can still be treated almost like poison.
Their explanation is advertising and familiarity.
Indian parents spent decades seeing malt-based health drinks marketed around children, growth, strength and family health. Whey entered popular consciousness through a very different cultural doorway: gyms, bodybuilding, muscle building and supplements.
So two packaged powders can trigger completely different reactions.
One feels like nutrition.
The other feels like bodybuilding.
What this tells us about india’s protein market
The biggest barrier to protein adoption may not simply be price, taste or availability.
It is trust.
For brands trying to take protein beyond serious gym users and into mainstream Indian households, educating the person consuming the product may not be enough.
They may also need to answer the questions sitting in the parent’s head:
Is protein powder safe? Is whey a steroid? Does whey damage your kidneys? Why can’t you get enough protein from dal and normal Indian food? Why do you need protein powder at all?
That suggests a different marketing problem.
Protein brands aren’t merely selling more grams of protein.
They are trying to move protein powder from the cultural category of “gym supplement” into the much larger category of “normal food and nutrition.”
That transition may determine which brands win the next phase of India’s protein market.
Based on consumer conversations analysed by the OPXP Protein Category Brain.
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watermarks-remover

watermarks-remover — Strip multi-vendor AI provenance marks
A tool to remove AI provenance marks and metadata from various file formats.
- Supports PNG, JPEG, SVG, PDF, DOCX, HTML, and MD file formats.
- Includes features for Unicode text hygiene and statistical rewrite hooks.
- Utilizes C2PA metadata stripping capabilities.
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Meta Unveils Muse Glimmer: A 30B Parameter Open-Source AI Model
- Muse Glimmer features 30 billion parameters and can run on standard PCs with optimized memory usage.
- The model uses a two-step response generation process, enhancing accuracy and speed through speculative decoding.
- Meta plans to continue releasing open-source models, with expectations for future launches soon.