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Forbes
34 minutes ago
- Forbes
Doing The Work With Frontier Models: I'll Talk To AI
Artificial Intelligence processor unit. Powerful Quantum AI component on PCB motherboard with data ... More transfers. Within the industry, where people talk about the specifics of how LLMs work, they often use the term 'frontier models.' But if you're not connected to this business, you probably don't really know what that means. You can intuitively apply the word 'frontier' to know that these are the biggest and best new systems that companies are pushing. Another way to describe frontier models is as 'cutting-edge' AI systems that are broad in purpose, and overall frameworks for improving AI capabilities. When asked, ChatGPT gives us three criteria – massive data sets, compute resources, and sophisticated architectures. Here are some key characteristics of frontier models to help you flush out your vision of how these models work: First, there is multimodality, where frontier models are likely to support non-text inputs and outputs – things like image, video or audio. Otherwise, they can see and hear – not just read and write. Another major characteristic is zero-shot learning, where the system is more capable with less prompting. And then there's that agent-like behavior that has people talking about the era of 'agentic AI.' If you want to play 'name that model' and get specific about what companies are moving this research forward, you could say that GPT 4o from OpenAI represents one such frontier model, with multi-modality and real-time inference. Or you could tout the capabilities of Gemini 1.5, which is also multimodal, with decent context. And you can point to any number of other examples of companies doing this kind of research well…but also: what about digging into the build of these systems? At a recent panel at Imagination in Action, a team of experts analyzed what it takes to work in this part of the AI space and create these frontier models The panel moderator, Peter Grabowski, introduced two related concepts for frontier models – quality versus sufficiency, and multimodality. 'We've seen a lot of work in text models,' he said. 'We've seen a lot of work on image models. We've seen some work in video, or images, but you can easily imagine, this is just the start of what's to come.' Douwe Kiela, CEO of Contextual AI, pointed out that frontier models need a lot of resources, noting that 'AI is a very resource-intensive endeavor.' 'I see the cost versus quality as the frontier, and the models that actually just need to be trained on specific data, but actually the robustness of the model is there,' said Lisa Dolan, managing director of Link Ventures (I am also affiliated with Link.) 'I think there's still a lot of headroom for growth on the performance side of things,' said Vedant Agrawal, VP of Premji Invest. Agrawal also talked about the value of using non-proprietary base models. 'We can take base models that other people have trained, and then make them a lot better,' he said. 'So we're really focused on all the all the components that make up these systems, and how do we (work with) them within their little categories?' The panel also discussed benchmarking as a way to measure these frontier systems. 'Benchmarking is an interesting question, because it is single-handedly the best thing and the worst thing in the world of research,' he said. 'I think it's a good thing because everyone knows the goal posts and what they're trying to work towards, and it's a bad thing because you can easily game the system.' How does that 'gaming the system' work? Agrawal suggested that it can be hard to really use benchmarks in a concrete way. 'For someone who's not deep in the research field, it's very hard to look at a benchmarking table and say, 'Okay, you scored 99.4 versus someone else scored 99.2,'' he said. 'It's very hard to contextualize what that .2% difference really means in the real world.' 'We look at the benchmarks, because we kind of have to report on them, but there's massive benchmark fatigue, so nobody even believes it,' Dolan said. Later, there was some talk about 10x systems, and some approaches to collecting and using data: · Identifying contractual business data · Using synthetic data · Teams of annotators When asked about the future of these systems, the panel return these three concepts: · AI agents · Cross-disciplinary techniques · Non-transformer architectures Watch the video to get the rest of the panel's remarks about frontier builds. What Frontier Interfaces Will Look Like Here's a neat little addition – interested in how we will interact with these frontier models in 10 years' time, I put the question to ChatGPT. Here's some of what I got: 'You won't 'open' an app—they'll exist as ubiquitous background agents, responding to voice, gaze, emotion, or task cues … your AI knows you're in a meeting, it reads your emotional state, hears what's being said, and prepares a summary + next actions—before you ask.' That combines two aspects, the mode, and the feel of what new systems are likely to be like. This goes back to the personal approach where we start seeing these models more as colleagues and conversational partners, and less as something that stares at you from a computer screen. In other words, the days of PC-DOS command line systems are over. Windows changed the computer interface from a single-line monochrome system, to something vibrant with colorful windows, reframing, and a tool-based desktop approach. Frontier models are going to do even more for our sense of interface progression. And that's going to be big. Stay tuned.
Business Insider
an hour ago
- Business Insider
Big Tech's new recruits are skipping out on college, and tech companies are encouraging it
Welcome back to our Sunday edition, where we round up some of our top stories and take you inside our newsroom. Happy Father's Day to all of the committed and inspiring dads out there. I know I'm forever grateful to mine, Larry Heller, for his love and advice over the years — including about Business Insider! You might not know who Alexandr Wang is, but you're about to. Meta effectively just spent about $15 billion to hire the 28-year-old CEO of Scale AI, BI's Peter Kafka writes. On the agenda today: VC's new favorite guessing game: Who is Arfur Rock, the " Gossip Girl of Silicon Valley"? Advice from Goldman Sachs insiders for the 2025 intern class. From buying a house to job-hopping, taking a big financial risk is scarier than ever. Potential big changes to private-equity recruiting could benefit us all. But first: Forget college degrees. If this was forwarded to you, sign up here. Download Business Insider's app here. This week's dispatch Big Tech is turning against college Julia Hornstein covers tech and other startups in the defense sector for Business Insider. One increasingly common refrain from some leaders in this space is their disdain for higher education. I talked with Julia about her recent, great, in-depth article on the subject. Is the negative view on higher education from some tech leaders more about the value of school versus experience, or what's being taught in schools? It's both. The founders I spoke to see college as expensive and inefficient. Top four-year schools can cost hundreds of thousands of dollars. Some don't want to miss the AI boom while in class. Others want to become financial providers as soon as possible. Some also perceive an ideological tilt at universities, a belief that the Trump administration has also espoused. One founder who has built a billion-dollar company told me he doesn't see value in a liberal arts education and has "yet to meet people that consistently rave about that as being super useful." Palantir is ideologically opposed to college coursework, too. Its CEO, Alex Karp, said in his new book that colleges are "walled off from the world." The Meritocracy Fellowship, the company's internship for high school grads, tells applicants to " skip the indoctrination" of college. Skipping college for an opportunity in tech or startups isn't uniquely a defense tech phenomenon. I interviewed non-college founders building marketing platforms, AI startups, and nuclear fusion companies. That said, many in defense tech question higher education. Palantir cofounder and investor Peter Thiel, who has both a BA and JD from Stanford, has called higher ed "the worst institution we have." Joe Lonsdale, another Palantir cofounder and a venture capitalist, cofounded a college in Austin in 2022 out of a frustration "with how modern universities stifle free thought and academic diversity," he wrote. Some founders I spoke with decided to ditch college in their early teens. A few dropped out of high school. The Palantir fellows are different: For now, they told me, they're taking a gap year and holding their seats in college. Their decision about college might depend on whether Palantir makes them a full-time offer they can't refuse. Silicon Valley's little whisperer Serena & co. had Gossip Girl, and Bridgerton has Lady Whistledown. Silicon Valley has Arfur Rock, the anonymous X user who posts scoopy info about startups and VC. Identifying only as an "anon GP at your favorite multistage-VC," Rock has the tech industry in a twist over their true identity. Some regard Rock's transparency as a breath of fresh air, while others question their motives. Here's what Rock told BI about the guessing game. Dear Goldman Sachs interns … About 2,600 students are kicking off their summer at the investment bank. Working on Wall Street can be overwhelming, though, so BI spoke with three former Goldman interns who rose through the ranks. They encourage interns to bring a positive attitude, share fresh ideas, and take advantage of the "coffee culture." How to land a postgrad offer. Also read: Goldman Sachs CEO David Solomon to interns: 'The only constant is change.' See the letter. Meet the 0.4% of students who made it into Citadel's 2025 summer intern program — the firm's lowest acceptance rate yet. Big financial risks are scary right now Recession worries and inflation are keeping Americans on the edge of their seats. Some are stuck in their jobs, and others are reminiscing about the days of dirt-cheap mortgage rates. BI's Emily Stewart broke down how Americans are confronting this uncertainty — and what that means for their spending. While it may not be the best time to take a big leap, the impact on the broader economy can be even trickier to decipher. Stuck reading tea leaves. PE takes a pause The path to a prestigious corner of Wall Street is hitting a roadblock. JPMorgan and Apollo recently announced plans to slow down the ever-earlier recruitment of junior bankers to PE jobs. The decision created shockwaves among young Wall Streeters, who had spent years preparing for the well-worn recruiting cycle that's now been put on hold. But the impact could extend well beyond those in finance. And it's not a bad thing. Also read: Jamie Dimon just made good on his promise to crack down on bankers with hush-hush private equity jobs Apollo pulls the plug on a hiring practice for junior bankers that Jamie Dimon called 'unethical.' General Atlantic halts a recruiting practice blasted by Jamie Dimon a day after Apollo also slammed the brakes. 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Forbes
4 hours ago
- Forbes
Update Every App On Your Phone That's On This List
Update these apps now. The recent warning that Meta and Yandex have been secretly tracking billions of phones is a stark reminder that your most sensitive data is at risk. That loophole will now close, as others will be found. Let's not forget Google itself was caught doing broadly the same. It's now four years since Apple's game-changing App Privacy Labels exposed the sheer extent of data harvesting targeting iPhone users, with the assumption that Android must be even worse. I covered that extensively at the time, and it was clear then — as it is now — that when you're not paying for a product, you are the product. Multiple reports since have highlighted that permission abuse is still rife, with apps requesting access to data and functions they do not need to deliver the features of the app itself. This is data monetization, pure and simple, your data monetization. Top-1o data hungry apps Now the researchers at Apteco have revisited Apple's privacy labels to find out 'who's collecting most of your data' in 2025. The study focused specifically on 'Data linked to you,' as this is the type of data that ties directly back to your identity.' Apteco's key findings are unsurprising: 'Social media apps are the most data hungry,' and the most collected personal data is 'contact information (such as your name, phone number and home address).' But the range of harvested data goes far beyond that, as you can see from Apteco's table reporting the data accessed during testing. Data collected from users. Apteco's list 'is dominated by social media… highlighting how important data collection is to these types of platforms in order to customize content to show things such as posts and friend suggestions [and] which build detailed social profiles.' Apteco's top-1o list is dominated by global brands with apps installed by hundreds of millions if not billions of users. This isn't a call to delete those apps — albeit you should be aware of the data they're collecting while running on your phone. App settings on iPhone Instead, you should update the permissions granted to apps on this list, deciding if you want to give them blanket access to location and other sensitive data. You should also be aware that when you operate within the confines of an app, for example using its own browser, you are not protected by the usual web tracking defenses on your phone. You don't need to grant all the permissions requested, and you can limit those permissions that might be needed — such as location — to only apply when using the app or to manually request each time before sharing. You can also restrict location data such that it's not precise and just gives a general idea of where you are. Here are instructions for iPhone and Android on how to apply updates. 'The study highlights how extensive data collection has become across a huge variety of apps,' Apteco says. 'The sheer scale of data collected highlights why understanding and managing app permissions and data policies is increasingly important for users [who] need to be aware of how to actively manage app permissions and data policies.'
