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AI on your smartphone? Hugging Face’s SmolLM2 brings powerful models to the palm of your hand

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AI on your smartphone? Hugging Face’s SmolLM2 brings powerful models to the palm of your hand

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Hugging Face today has released SmolLM2, a new family of compact language models that achieve impressive performance while requiring far fewer computational resources than their larger counterparts.

The new models, released under the Apache 2.0 license, come in three sizes — 135M, 360M and 1.7B parameters — making them suitable for deployment on smartphones and other edge devices where processing power and memory are limited. Most notably, the 1.7B parameter version outperforms Meta’s Llama 1B model on several key benchmarks.

Performance comparison shows SmolLM2-1B outperforming larger rival models on most cognitive benchmarks, with particularly strong results in science reasoning and commonsense tasks. Credit: Hugging Face

Small models pack a powerful punch in AI performance tests

“SmolLM2 demonstrates significant advances over its predecessor, particularly in instruction following, knowledge, reasoning and mathematics,” according to Hugging Face’s model documentation. The largest variant was trained on 11 trillion tokens using a diverse dataset combination including FineWeb-Edu and specialized mathematics and coding datasets.

This development comes at a crucial time when the AI industry is grappling with the computational demands of running large language models (LLMs). While companies like OpenAI and Anthropic push the boundaries with increasingly massive models, there’s growing recognition of the need for efficient, lightweight AI that can run locally on devices.

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The push for bigger AI models has left many potential users behind. Running these models requires expensive cloud computing services, which come with their own problems: slow response times, data privacy risks and high costs that small companies and independent developers simply can’t afford. SmolLM2 offers a different approach by bringing powerful AI capabilities directly to personal devices, pointing toward a future where advanced AI tools are within reach of more users and companies, not just tech giants with massive data centers.

A comparison of AI language models shows SmolLM2’s superior efficiency, achieving higher performance scores with fewer parameters than larger rivals like Llama3.2 and Gemma, where the horizontal axis represents the model size and the vertical axis shows accuracy on benchmark tests. Credit: Hugging Face

Edge computing gets a boost as AI moves to mobile devices

SmolLM2’s performance is particularly noteworthy given its size. On the MT-Bench evaluation, which measures chat capabilities, the 1.7B model achieves a score of 6.13, competitive with much larger models. It also shows strong performance on mathematical reasoning tasks, scoring 48.2 on the GSM8K benchmark. These results challenge the conventional wisdom that bigger models are always better, suggesting that careful architecture design and training data curation may be more important than raw parameter count.

The models support a range of applications including text rewriting, summarization and function calling. Their compact size enables deployment in scenarios where privacy, latency or connectivity constraints make cloud-based AI solutions impractical. This could prove particularly valuable in healthcare, financial services and other industries where data privacy is non-negotiable.

Industry experts see this as part of a broader trend toward more efficient AI models. The ability to run sophisticated language models locally on devices could enable new applications in areas like mobile app development, IoT devices, and enterprise solutions where data privacy is paramount.

The race for efficient AI: Smaller models challenge industry giants

However, these smaller models still have limitations. According to Hugging Face’s documentation, they “primarily understand and generate content in English” and may not always produce factually accurate or logically consistent output.

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The release of SmolLM2 suggests that the future of AI may not solely belong to increasingly large models, but rather to more efficient architectures that can deliver strong performance with fewer resources. This could have significant implications for democratizing AI access and reducing the environmental impact of AI deployment.

The models are available immediately through Hugging Face’s model hub, with both base and instruction-tuned versions offered for each size variant.


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The Samsung Galaxy Ring is brilliant, but it misses the mark in three key areas

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The Samsung Galaxy Ring in Titanium Silver Colorway

I am more excited about the Samsung Galaxy Ring than any other recent new product from a big tech company. Surpassing my interest in the Apple Vision Pro as a product that people will actually find a purpose for, the Galaxy Ring has found a place in my daily routine for one very simple reason: I don’t like wearing a watch all the time.

Samsung is onto something here with a device that fits into its health and wearables ecosystem in a very interesting way. Down to the core, the Galaxy Ring takes the health smarts of the company’s great range of smartwatches and crams them into a tiny ring. There are some health features the Ring can’t provide that the Galaxy Watch can, but it covers the bases; heart rate, body temperature monitoring, sleep and steps. For me, the best feature is its sleep tracking, particularly because it’s much more comfortable to have a ring on my finger in bed instead of a smart watch.

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Lawyers find grooming claims against YouTube co-host baseless

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Lawyers find grooming claims against YouTube co-host baseless

Lawyers hired by MrBeast to investigate claims that his former co-host groomed a teenager have concluded that the allegations were “without basis”, the star YouTuber has said.

Ava Kris Tyson stopped working with MrBeast in July after other YouTubers accused her of sending inappropriate messages to a minor, reportedly then 13, when she was 20.

At the time, Tyson apologised for her “past actions”, but said her behaviour never “extended beyond bad edgy jokes” and denied ever grooming anyone.

The alleged victim – who was named online – also defended her, saying the claims were “massive lies” and that they had never been “exploited or taken advantage of”.

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MrBeast, 26, real name Jimmy Donaldson, hosts the largest channel on YouTube, with 325m subscribers, and is known for making videos of stunts, challenges and acts of philanthropy.

Tyson, 28, who last year came out as transgender, has appeared regularly on the channel since it was launched in 2012.

After the initial claims in July, MrBeast said he was “disgusted” by the “serious allegations of Ava Tyson’s behaviour online” and “opposed to such unacceptable acts”.

On Friday, he shared a letter on X from Quinn Emanuel Urqhart & Sullivan LLP, the law firm he hired to conduct an investigation into the claims.

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The letter said the firm had conducted 39 interviews with current and former employees of MrBeast’s company and reviewed over 4.5m documents collected from mobile phones, e-mails, and a variety of messaging platforms.

“Allegations of sexual misconduct… between company employees and minors are without basis. The allegations were soundly rejected, including by alleged victims,” it said.

It added that allegations the company had knowingly employed “individuals with proclivities or histories towards illegal… conduct” were “similarly without basis”.

The letter said some “isolated instances of workplace harassment and misconduct were identified” and that, once informed about them, the company had taken “swift and appropriate actions”.

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Following the publication of the letter, the alleged victim of Tyson’s behaviour said again that the claims were “completely false”.

“People used my name to make very serious allegations and claims without ever speaking to me,” they said.

“It was incredibly difficult having my name thrown around in a public forum without being given the opportunity to share the truth.

“The private investigators reviewed all my [direct messages] and interactions with Kris.

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“I was not groomed. These were false allegations made up by other people with my name thrown in them.”

Responding to the initial allegations in July, Tyson apologised for her “unacceptable social media posts, past actions, and to those who may feel betrayed by how I used to act online”, but added: “I never groomed anyone”.

“To lump these two factors together to create a narrative that my behavior extended beyond bad edgy jokes is disgusting and did not happen,” she said.

“I have learned that my old humor is not acceptable. I cannot change who I was, but I can continue to work on myself.”

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NYT Connections: hints and answers for Saturday, November 2

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NYT Connections: hints and answers for Monday, October 7
New York Times' Connection puzzle open in the NYT Games app on iOS.
Sam Hill / Digital Trends

Connections is the latest puzzle game from the New York Times. The game tasks you with categorizing a pool of 16 words into four secret (for now) groups by figuring out how the words relate to each other. The puzzle resets every night at midnight and each new puzzle has a varying degree of difficulty. Just like Wordle, you can keep track of your winning streak and compare your scores with friends.

Some days are trickier than others. If you’re having a little trouble solving today’s Connections puzzle, check out our tips and hints below. And if you still can’t get it, we’ll tell you today’s answers at the very end.

How to play Connections

In Connections, you’ll be shown a grid containing 16 words — your objective is to organize these words into four sets of four by identifying the connections that link them. These sets could encompass concepts like titles of video game franchises, book series sequels, shades of red, names of chain restaurants, etc.

There are generally words that seem like they could fit multiple themes, but there’s only one 100% correct answer. You’re able to shuffle the grid of words and rearrange them to help better see the potential connections.

Each group is color-coded. The yellow group is the easiest to figure out, followed by the green, blue, and purple groups.

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Pick four words and hit Submit. If you’re correct, the four words will be removed from the grid and the theme connecting them will be revealed. Guess incorrectly and it’ll count as a mistake. You only have four mistakes available until the game ends.

Hints for today’s Connections

We can help you solve today’s Connection by telling you the four themes. If you need more assistance, we’ll also give you one word from each group below.

Today’s themes

  • SEEN IN A KITCHEN
  • GROUP OF ADVISORS
  • CORE EXERCISES
  • KIDS OF EARRINGS

One-answer reveals

  • SEEN IN A KITCHEN – COUNTER
  • GROUP OF ADVISORS – BOARD
  • CORE EXERCISES – BOAT
  • KIDS OF EARRINGS – CHANDELIER
New York Times Connection game logo.
New York Times

Today’s Connections answers

Still no luck? That’s OK. This puzzle is designed to be difficult.  If you just want to see today’s Connections answer, we’ve got you covered below:

Connections grids vary widely and change every day. If you couldn’t solve today’s puzzle, be sure to check back in tomorrow.






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Google may bring Quick Share to iOS and macOS soon

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Google may bring Quick Share to iOS and macOS soon

Google could be bringing its Quick Share tool to iOS and macOS. The convenient and fast file-sharing tool may need to play nicely with Apple’s restrictive policies.

Why is Quick Share missing on Apple iPhones?

Formerly known as Nearby Share, Quick Share arrived in 2020. It’s a file-transfer service that lets users quickly move any number of files over a local network connection.

iOS is one of the leading smartphone operating systems that’s exclusive to iPhones. Still, Quick Share isn’t even available as a standalone app on the Apple Store. Android users have to find another solution if they want to share files with anyone who has an iPhone.

Apple is quite restrictive about iOS and the backend processes. In other words, iOS and macOS are closed-source or proprietary operating systems. This could be one of the reasons why tools such as Quick Share don’t work on these platforms.

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Google porting Quick Share to iOS and macOS, reveals code

Quick Share is one of the best and easiest tools to move files between Android phones. It is also available on Chromebooks and even Windows PCs can utilize Quick Share after installing the tool.

Quick Share is built on top of Nearby Connections, which is a peer-to-peer networking API that lets apps “easily discover, connect to, and exchange data with nearby devices in real-time, regardless of network connectivity.” The source code for Nearby Connections is easily and openly available on GitHub under Google’s Nearby repository. Google engineers improve the platform, fix bugs, and add new features to Quick Share regularly.

In one of the bug fixes, Android Authority discovered references to iOS and macOS. Mishaal Rahman spotted a potential clue suggesting that Google is working on bringing Quick Share to iOS and macOS.

Google hasn’t made any official announcements about Quick Share coming to iOS and macOS. Moreover, the company would have to make several changes to integrate Quick Share into Apple’s ecosystem and work in accordance with Apple’s App Store and privacy policies.

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Interestingly, OnePlus has already laid the groundwork. According to Phone Arena, in the recently introduced OxygenOS 15, there’s a feature called “Share with iPhone”.

OnePlus essentially created a dedicated iOS app. While installing yet another app could be a minor convenience, it dwarfs in comparison to the possibility of easily transferring files between an Android device and an iPhone or MacBook computer.

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Audible is offering three months for $3 in an early Black Friday deal

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Lawrence Bonk

Audible is offering a sweet promotion as an early Black Friday deal, allowing new users to sign up for three months of its Premium Plus plan for just $3. That breaks down to $1 per month. It’s only for new users, so anyone who has previously dipped their toes in the Audible waters are out of luck.

This offer starts today, but is available all the way until midnight on New Year’s Eve. It’s only for US customers and, as usual, the subscription will automatically renew after the three months, so be vigilant about smashing that cancel button if it’s not working out. The regular price for Audible Premium Plus is $15 per month plus tax.

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Audible Premium Plus is the top-tier offering for listening to audiobooks. A membership provides access to the entire catalog plus a monthly credit to purchase nearly any title outright. Subscriptions also offer discounts on other newly-released titles. All told, there are thousands of books to choose from, along with podcasts and Audible Originals.

To that end, there’s a whole lot of original content here for fans of different literary genres. James Patterson has an Audible Original that features a stacked voice cast, with Cobie Smulders and Reid Scott headlining. There’s also unique fare like sleep meditations and the like.

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Check out all of the latest Black Friday and Cyber Monday deals here.

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DevRev raises $100.8 million in Series A funding and becomes an AI unicorn at a $1.15 billion valuation

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DevRev raises $100.8 million in Series A funding and becomes an AI unicorn at a $1.15 billion valuation

Palo Alto, CA — October 2024 — Following its successful Series A funding round in August 2024, where DevRev secured $100.8 million and reached a $1.15 billion valuation, the company continues to drive forward its mission to revolutionize customer support and product development. Led by Khosla Ventures with participation from Mayfield Fund, Param Hansa Values, U First Capital, and several accelerators, family offices, and angel investors, this investment highlights the growing potential of AI-native enterprise software.

Fueling this mission is DevRev’s AgentOS platform, which is rapidly advancing GenAI adoption in enterprises. By offering seamless 1-click data migration from legacy systems and deploying lightweight AI agents, DevRev is setting a new standard for how businesses integrate and benefit from AI. 

A visionary approach to developer-customer interaction

DevRev, founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, aims to remodel how businesses connect developers directly with customers and revenue. The company was born out of a simple yet powerful realization:

“Today, every company is a software company, yet we isolate developers from customers and revenue…Our mission is to break down these barriers and empower developers to create customer-conscious products and businesses.” — Dheeraj Pandey, CEO of DevRev

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DevRev’s knowledge graph powers its AgentOS, delivering AI-native solutions that streamline customer service, product management, and software engineering. The platform is already trusted by customers across all major geographies, various industries, and numerous company sizes, including many of the global leading players across AI, SaaS, and financial services.

By analyzing structured and unstructured data — from customer conversations to session analytics – the platform’s unique approach allows developers to connect their code directly to production issues and customer interactions. From there, DevRev’s AI-driven agents are able to automate enterprise workflows to reduce manual effort, enhance operational efficiency, and accelerate response times.

“We have invested heavily in the generative AI sector. We’ve noticed that to fully harness the potential of AI, the underlying data and knowledge infrastructure must be reimagined and rebuilt. DevRev is at the forefront of enabling AI adoption in enterprises, thanks to its innovative product architecture. Furthermore, DevRev is pioneering a new vision for organizational structure by breaking down internal silos, fostering greater collaboration and efficiency across the company.” — Dr. Ekta Dang, CEO of U First Capital

AI agents on knowledge graphs

Organizations today suffer from technology complexity that siloes around departments and their respective apps, data, and workflows, which results in poor customer experiences, delays in product development, and often building the wrong software.

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DevRev believes that this complexity can be meaningfully resolved by AI-on-Knowledge Graphs, which combines the emerging power of GenAI and an organization’s own systems mapped into Knowledge Graphs. While AI is proving to be powerful, organizations are realizing that without Knowledge Graphs, they either end up with AI copilots on single apps or AI copilots on vast data lakes with little-to-no context or definition.

The solution begins by creating an organization’s Knowledge Graph by ingesting data from 2-way real time integrations with an organization’s CRM, support, and engineering applications, along with the underlying code repositories. By doing so, the Knowledge Graph understands the product (software), the customers (users), the people (employees), and the workflows involved, along with unique elements to the organization, such as security and customizations. Once mapped, customers and employees can run queries through AI Agents to not only return more accurate search results, but also power systems of action quickly across the organization. This is the productivity promise GenAI holds, which is only enabled by the contextual mapping that Knowledge Graphs provides.

With DevRev’s Knowledge Graph platform and data from major system of record applications that are ingested real-time into DevRev, DevRev creates an interdependent network of customer, user, product, employee, work and usage records.

Put simply, DevRev comprises both the front-end applications and the back-end Knowledge Graphs to analyze, contextualize, and act on enterprise data, enabling organizations to:

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  • Gain Deep Organizational Insights: spot emerging trends and linkages across customers, products, and employees to better inform strategic planning
  • Increase Focus: connect the dots between product / engineering roadmaps and customer impact to better prioritize and allocate resources
  • Boost Operational Efficiency: streamline operations by identifying bottlenecks, eliminating redundancies, and automating workflows across the organization
  • Enhance Customer Experience: gain a comprehensive understanding of customer interactions and feedback, leading to more personalized and effective service

About DevRev

DevRev’s mission is to help build the world’s most customer-centric companies, embracing the principle that “less is better.” Founded in October 2020 by Dheeraj Pandey and Manoj Agarwal, DevRev is headquartered in Palo Alto, California, with offices in seven global locations. For more information, visit DevRev’s website.

About U First Capital

Led by two technical PhDs based in Silicon Valley for over two decades, U First Capital’s focus is to invest in stellar founders. The firm has invested in over twenty five category-leading companies like Anthropic, Cohere AI, Rubrik, Worldcoin, Pensando, Palantir, Uniphore, and Nile. For more information, visit U First Capital’s website

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