Production of pulses, some coarse cereals and groundnut seen likely hitting a 3-year low as per initial independent crop estimates; rice, cereals seen buoying overall output this season

Production in India, the world’s largest rice exporter, is under unusually intense focus after New Delhi banned exports of non-basmati white rice in July, sending global prices surging

Minister Carlos Fávaro offers transfer of technology to India to boost cooperative production

After dominating the region’s electoral stage for almost a decade, turmeric has lost its sheen; the PM’s announcement of a National Turmeric Board has not satisfied farmers, who also ask for MSP

Ministry directs all wheat stocking entities to register on government’s wheat stock limit portal and update the stock position every Friday

Growers in Punjab are worried over the drop in prices in the ongoing season and have demanded State intervention; many fear that they won’t be able to recover input cost

The government subsidised the sale of a few commodities to improve domestic supply and arrest the sharp spikes in retail prices of wheat, rice, edible oils, pulses, tomato, and onion

The Food Minister says the role of FCI is not only to deliver ration, but also to instill confidence in farmers and beneficiaries by bringing in transparency, efficiency and accountability

What are the measures the government is taking to bring down the increasing price of rice?

‘We intend to bring a revolutionary change in the agriculture sector with a special focus on promoting animal husbandry,’ Sukhvinder Singh Sukhu tells the hill State’s milk producers

Minister Anurag Thakur says the decision will benefit 5 crore farmers, including family members, and lakhs of other persons involved in the sugar sector

Traders are allowed to export this quantity till March 31

PM Modi made his comments while inaugurating the pilot project of “world’s largest grain storage plan”, which is being done across 11 States

BKS terms the government’s attitude towards farmers’ demands “regrettable”; seeks MSPs, abolition of GST on agri inputs, and increase in Kisan Samman Nidhi income support payments for farmers

A group of developing and least developed countries want WTO to find a solution to the issue of public stockholding of rice and wheat

A poor harvest could force the Centre to import wheat, palm oil, sunflower oil and soybean oil

Centre allows export of 99,500 tonnes of onions from Maharashtra to six countries despite domestic ban

Limited availability of chickpeas in the world market could force India to import of yellow peas, which are available in abundance, say officials

Shivraj Singh Chouhan has also been allocated the Rural Development Ministry in Prime Minister Narendra Modi's new Cabinet

The country is among those most vulnerable to water management risks, and has the poorest access to basic services, including water, among G-20 economies, the rating major flagged

A release said the award signifies the station’s unwavering commitment to maintain the highest standards in quality seed production and has emerged as a front runner setting an example for excellence in the field of seed production

The data will be used for formulating policies and programmes for farmers and the dairy sector

The new MSP for a quintal of wheat is ₹2,425 in comparison to ₹2,275 per quintal, which was in place for the previous rabi season

The Centre added that shipments by rail rake to Lucknow and Varanasi will be scheduled in next few days

A group of Indian Ocean islanders, forcibly removed from their homes 50+ years ago and deported to England, are still fighting for recognition and basic rights. By Alexi Demetriadi.

What is an internationalist to make of Donald J Trump’s vow to blow up the North American Free Trade Agreement? Mark Engler asks.

It’s against the Constitution, and means Norway will not respect the Paris Agreement, argues Tina Andersen Vågenes.

Kim Jong-un's headline grabbing aggressive irrationalism takes some beating (though he might have met his match in recent times...)

Rûwâhîne by Ifriqiyya Electrique; The Underside of Power by Algiers: our music reviews of the month.

A source of corruption and environmental degradation. Rod Harbinson reports.

A gesture of love and solidarity from estates and communities in East London to Grenfell and their local community.

How Senegal is trying to involve the diaspora to curb emigration. By Sofia Christensen

KidZania is an unashamed shrine to the sterile, dystopian human-made landscapes, comedian Steve Parry writes.

The author of The Reluctant Fundamentalist talks to Graeme Green about extremism, the refugee crisis and feeling at home in the past.

We talked to homeless in different countries and they revealed housing insecurity's different causes around the world.

Polyp's latest cartoon, from our June magazine.

As the number of highly capable large language models (LLMs) released continues to quickly increase, I added the ability to test new models when they become available in the Ask Luke conversational interface on this site.

For context there's a number of places in the Ask Luke pipeline that make use of AI models to transform, clean, embed, retrieve, generate content and more. I put together a short video that explains how this pipeline is constructed and why if you're interested.

Specifically for the content generation step, once the right content is found, ranked, and assembled into a set of instructions, I can select which large language model to send these instructions to. Every model gets the same instructions unless they can support a larger context window. In which case they might get more ranked results than a model with a smaller context size.

Despite the consistent instructions, switching LLMs can have a very big impact on answer generation. I'll leave you to guess which of these two answers is powered by OpenAI's GPT-4 and which one comes from Antrhopic's new (this week) Claude 3.5 Sonnet.

Some of you might astutely point out that the instruction set could be altered in specific ways when changing models. Recently, we've found the most advanced LLMs to be more interchangeable than before. But there's still differences in how they generate content as you can clearly see in the example above. Which one is best though... could soon be a matter of personal preference.

Thanks to Yangguang Li and Sam for the dev help on this feature.

Over the years, I've given more than 300 presentations on design. Most of these have been accompanied by a slide deck to illustrate my points and guide the narrative. But making the content in these decks work well with the Ask Luke conversational interface on this site has been challenging. So now I'm trying a new approach with AI vision models.

To avoid application specific formats (Keynote, PowerPoint), I've long been making my presentation slides available for download as PDF documents. These files usually consist of 100+ pages and often don't include a lot of text, leaning instead on visuals and charts to communicate information. To illustrate, here's of few of these slides from my Mind the Gap talk.

In an earlier article on how we built the Ask Luke conversational interface, I outlined the issues with extracting useful information from these documents. I wanted the content in these PDFs to be available when answering people's design questions in addition to the blog articles, videos and audio interviews that we were already using.

But even when we got text extraction from PDFs working well, running the process on any given PDF document would create many content embeddings of poor quality (like the one below). These content chunks would then end up influencing the answers we generated in less than helpful ways.

To prevent these from clogging up our limited context (how much content we can work with to create an answer) with useless results, we set up processes to remove low quality content chunks. While that improved things, the content in these presentations was no longer accessible to people asking questions on Ask Luke.

So we tried a different approach. Instead of extracting text from each page of a PDF presentation, we ran it through an AI vision model to create a detailed description of the content on the page. In the example below, the previous text extraction method (on the left) gets the content from the slide. The new vision model approach (on the right) though, does a much better job creating useful content for answering questions.

Here's another example illustrating the difference between the PDF text extraction method used before and the vision AI model currently in use. This time instead of a chart, we're generating a useful description of a diagram.

This change is now rolled out across all the PDFs the Ask Luke conversational interface can reference to answer design questions. Gone are useless content chunks and there's a lot more useful content immediately available.

Thanks to Yangguang Li for the dev help on this change.

Browsing the Web on your smartphone these days can feel like a gauntlet: accept this cookie consent, close this newsletter promo, avoid this app install banner. This morass of attention-seeking actions makes it hard to focus on content. Enter Apple's Distraction Control feature.

There's more than 7 billion active smartphones on the planet. This is the Web they are getting.

I won't get into how the Web became a minefield of pop-ups, banners, overlays, modals, and other forms of annoyance. For that you can take a look at my Mind the Gap presentation which goes into depth on why and what designers can do about it. But it's pretty clear the average mobile Web experience sucks.

And when things suck, people usually decide to do something about it. In this case, with iOS 18, Apple is giving average folks a chance to fight back with Distraction Control. When turned on, this new feature allows anyone to remove distracting elements on Web pages complete with a satisfying animation.

Newsletter pop-up? Boom, gone. Mobile app banner? Boom. Interstitial ad? Boom. Is it perfect? No. Elements might come back after you remove them if the page is reloaded. Accessing the control takes a few taps. But it's a way for people to fight back against Web clutter and we need more.

The most significant user interface change from iOS 17 to iOS 18 are the navigation differences in Apple's Photos app. The ubiquitous tab bar that's became the default navigation model in mobile apps is gone and in its place is one long scrolling page. So how does it work and why?

Most mobile applications have adopted a bottom bar for primary navigation controls. On Android it's called bottom navigation and on iOS, a tab bar, but the purpose is the same: make the top-level sections of an application visible and let people move between them.

And it works. Across multiple studies and experiments, companies found when critical parts of an application are made more visible, usage of them increases. For example, Facebook saw that not only did engagement go up when they moved from a “hamburger” menu to a bottom tab bar in their iOS app, but several other important metrics went up as well. Results like this made use of tab bars grow.

But in iOS 18, Apple removed the tab bar in their Photos app. Whereas the prior version had visible tabs for the top-level sections (Library, For You, Albums, Search), the redesign is just a single scroll view. The features previously found in each tab are now accessed by scrolling up and down vs. switching between tabs. One notable exception is Search which stays anchored at the top of the screen.

In addition to the persistent Search button, there's also a Select action and user profile image that opens a sheet with account settings. As you scroll up into your Photo library a persistent set of View controls appears at the bottom of the screen as well. The Close action scrolls you to the end of your Photo library and reveals a bit of the actions below making the location of features previously found in tabs more clear.

It's certainly a big change and given the effectiveness of tab bars, its also a change that has people questioning why? I have no inside information on Apple's decision-making process here but based on what I've learned about how people use Google Photos, Yahoo! Photos, and Flickr, I can speculate.

1. By far the dominant use of a Photo gallery is scrolling to find an image whether to share, view, or just browse.
2. Very few people organize their photo libraries and those that do, do it rarely.
3. People continue to have poor experiences with searching images, despite lots of improvements, so they default to browsing when trying to find photos.
4. Most automatic curation features like those found in For You just get ignored.

All that together can easily get you to the design answer of "the app should just be a scrolling list of all your Photos". Of course there's trade-offs. The top-level sections, and their features are much less visible, and thereby less obvious. The people who do make use of features like Albums and Memories now need to scroll to them vs. tapping once. But as iOS18 rolls out to everyone in the Fall, we'll see if these trade-offs were worth it.

I often use surfing as a metaphor for new technology. Go too early and you don't catch the wave. Go too late and you don't catch it either. Similarly next generation hardware or software may be too early for its time. I found myself wondering if this was the case for Google Glass and AI.

For those who don't remember, Google Glass was an early augmented reality headset that despite early excitement was ultimately shuttered. I spent time with the developer version of Google Glass in 2013 and, while promising, didn't think it was ready. But the technical capabilities of the device were impressive especially for its time. Glass featured:

• a camera for taking photos and video
• a microphone for accepting voice commands
• a speaker for audio input only you could hear (bone conduction)
• a mini projector to display information and interface controls in the corner of your field of vision
• a trackpad for controlling the interface and voice commands
• a number of sensors for capturing and reacting to device movement, like head gestures
• WiFi and Bluetooth connectivity

What Google Glass didn't have is AI. That is, vision and language models that can parse and react to audio and video from the real World. As I illustrated in a look at early examples of multi-modal personal assistants: faced with a rat's nest of signs, you want to know if it's ok to park your car. A multi-modal assistant could take an image (live camera feed or still photo), a voice command (in natural language), and possibly some additional context (time, location, historical data) as input and assemble a response (or action) that considers all these factors.

Google Glass had a lot of the technical capabilities (except for processing power) to make this possible in a lightweight form factor. Maybe it just missed the AI wave.

The Ask Luke feature on this site uses the thousands of articles, hundreds of PDFs, dozens of videos, and more I've created over the years to answer people's questions about digital product design. Since it launched a year ago, we've been iterating on the core of the Ask Luke system: retrieving relevant content to improve answers.

The most important job of any product interface is making its value clear and accessible to people. Most apps resort to some form of onboarding to accomplish this, but it's exponentially more impactful to experience value than to be told it exists. Likewise it's much more effective to learn through using an interface than through a tutorial explaining it.

These two factors make the seemingly simple job of "getting people to product value" quite difficult. Compounding the issue is that fact that interface solutions that accomplish this often feel simple and obvious -but only after they're uncovered. So iterating to an interface that intuitively conveys value and purpose is usually an iterative process.

That's a long-winded introduction, but it's important context for the changes we made to Ask Luke. The purpose and value of this feature is to pull the most relevant bits of my writings, videos, audio, and files together to answer people's questions about digital product design. So we made a bunch of changes to make that even more front and center -to make how Ask Luke works more obvious.

Now as answers to people's questions stream in, we add citations to the relevant articles, videos, PDF, etc. being used to answer a question in real-time. We also add these citations to the list of sources on the right dynamically instead of all at once before a question is answered.

Before people were able to select any given source and view it in the Ask Luke conversational UI. With these updates, they are also taken to the relevant part of a source: to the relevant point in a video; to the relevant page in a PDF. Since this is easier to see than read about, here's a quick video demonstrating these changes and hopefully making the value and purpose of Ask Luke a bit more obvious.

• Integrated Audio Experiences & Memory: enabling specific content experiences within a conversational UI
• Expanding Conversational User Interfaces: extending chat user interfaces to better support AI capabilities
• Integrated Video Experiences: adding video-specific experiences within conversational UI
• Integrated PDF Experiences: unique considerations when adding PDF experiences
• Dynamic Preview Cards: created on the fly to improve sharing answers
• Text Generation Differences: testing the impact of AI new models
• PDF Parsing with Vision Models: using AI vision models to extract content form PDFs

Acknowledgments

Big thanks to Sidharth Lakshmanan and Sam Breed for the engineering lift on these changes.

In her How to Use AI to Build Accessible Products presentation at Smashing Conf New York, Carie Fisher discussed using AI coding tools to test and suggest fixes for accessibility issues in Web pages. Here's my notes on her talk.

• AI is everywhere. You can use it to write content, code, create images, and more. It impacts how everyone will work.
• But ultimately, AI is just a tool but it might not always be the right one. We need to find the tasks where it has the potential to add value.
• Over 1 billion people on the planet identify as having a disability. Accessible code allows them to access digital experiences and helps companies be complaint with emerging laws requiring accessible Web pages and apps. Businesses also get SEO, brand, and more benefits from accessible code.
• AI tools like Github Copilot can find accessibility issues in seconds consistently, especially compared to the manual checks currently being done by humans. AI can also spot patterns across a codebase and suggest solutions.
• Existing AI coding tools like Github Copilot are already better than Linters for finding accessibility issues.
• AI can suggest and implement code fixes for accessibility issues. It can also be added to CI/CD pipelines to check for accessibility issues at the point of each commit. AI can also serve as an accessibility mentor for developers by providing real-time suggestions.
• More complex accessibility issues especially those that need user context may go unfound when just using AI. Sometimes AI output can be incomplete or hallucinate solutions that are not correct. As a result, we can't over rely on just AI to solve all accessibility problems. We still need human review today.
• To improve AI accessibility, provide expanded prompts that reference or include specifications. Code reviews can double check accessibility suggestions from AI-based systems. Regularly test and refine your AI-based solutions to improve outcomes.
• Combing AI and human processes and values can help build a culture of accessibility.

New material is made by compressing treated wood