The artificial intelligence sector has never been more competitive. Forbes received some 1,900 submissions this year, more than double last year’s count. Applicants do not pay a fee to be considered and are judged for their business promise and technical usage of AI through a quantitative algorithm and qualitative judging panels. Companies are encouraged to share data on diversity, and our list aims to promote a more equitable startup ecosystem. But disparities remain sharp in the industry. Only 12 companies have women cofounders, five of whom serve as CEO, the same count as last year. For more, see our full package of coverage, including a detailed explanation of the list methodology, videos and analyses on trends in AI.
New Generative AI video tools coming to Premiere Pro this year will streamline workflows and unlock new creative possibilities, from extending a shot to adding or removing objects in a scene
Adobe is developing a video model for Firefly, which will power video and audio editing workflows in Premiere Pro and enable anyone to create and ideate
Adobe previews early explorations of bringing third-party generative AI models from OpenAI, Pika Labs and Runway directly into Premiere Pro, making it easy for customers to draw on the strengths of different models within the powerful workflows they use every day
AI-powered audio workflows in Premiere Pro are now generally available, making audio editing faster, easier and more intuitive
Summary:
Most corporate learnings aren’t cutting it. Almost 60% of employees say they’re interested in upskilling and training, but 57% of workers also say they’re already pursuing training outside of work. The author, the former Head of Innovation and Creativity at Disney, argues that creativity is the missing piece to make upskilling engaging and effective. From his experience, he shares four strategies to unlock creativity in trainings: 1) Encourage “What if?”, 2) respond “How else?” to challenges, 3) give people time to think by encouraging playfulness, and 4) make training a game.
[Report] The Top 100 AI for Work – April 2024 — from flexos.work; with thanks to Daan van Rossum for this resource AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.
Following our AI Top 150, we spent the past few weeks analyzing data on the top AI platforms for work. This report shares key insights, including the AI tools you should consider adopting to work smarter, not harder.
While there is understandable concern about AI in the work context, the platforms in this list paint a different picture. It shows a future of work where people can do what humans are best suited for while offloading repetitive, digital tasks to AI.
This will fuel the notion that it’s not AI that takes your job but a supercharged human with an army of AI tools and agents. This should be a call to action for every working person and business leader reading this.
Most leaders understand the value of investing in an onboarding process for orientation, productivity, and retention, but few associate onboarding with strong performance over the employee’s full tenure with the organization. By contrast, everboarding is a newer approach that prioritizes ongoing learning and development rather than only an initial commitment. Insights from Deloitte indicate organizations that establish an ongoing learning culture are 52 percent more productive with engagement and achieve retention rates 30–50 percent higher than those that don’t.
When implemented effectively, everboarding embraces proven elements of a coaching culture that establish an ongoing commitment to skill development, deepens understanding of the organization, and supports real-time feedback to prevent stagnancy in high-potential employees brought in through strong hiring practices.
I’ve spent months talking with founders, investors, and scientists, trying to understand what this technology is and who the players are. Today, I’m going to share my findings. I’ll cover:
What an AI agent is
The major players
The technical bets
The future
Agentic workflows are loops—they can run many times in a row without needing a human involved for each step in the task. A language model will make a plan based on your prompt, utilize tools like a web browser to execute on that plan, ask itself if that answer is right, and close the loop by getting back to you with that answer.
But agentic workflows are an architecture, not a product. It gets even more complicated when you incorporate agents into products that customers will buy.
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Early reports of GPT-5 are that it is “materially better” and is being explicitly prepared for the use case of AI agents.
“Knowing is not enough; we must apply. Willing is not enough; we must do.”
Johann Wolfgang von Goethe
Learning Transfer’s ultimate outcome is behaviour change, so we must understand the conditions that trigger a behaviour to start.
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According to Fogg, three specific elements must converge at the same moment for a specific behaviour to occur. Given that learning transfer is only successful when the learner starts behaving in the desired new ways, Fogg’s work is critical to understanding how to generate these new behaviours. The Fogg Behavioural Model [*1] states that B=MAP. That is, a specific behaviour will occur if at the same moment there is sufficient motivation, sufficient ability and sufficient prompt. If the behaviour does not occur, at least one of these three elements is missing or below the threshold required.
The prompt is, in effect, a call to action to do a specific behaviour. The prompt must be ‘loud’ enough for the target person to perceive it and be consciously aware of it. Once aware of a prompt, the target immediately, and largely unconsciously, assesses their ability to carry out the requested behaviour: how difficult would this be, how long will it take, who can help me, and so on. They base this on their perception of the difficulty of the requested behaviour, and their ability, as they see it, to achieve that behaviour.
From DSC: I have had two instances recently where the phone-based systems (i.e., the Voice Response Units) haven’t worked…at all. They either wouldn’t let me do something as simple as updating my credit card number on file or checking on the status of a prescription. Human beings had to get involved to help me get the issues resolved. (Sounds a bit like the recent issues with the FAFSA forms, as I think about it.)
This is old hat, I know. This is common knowledge. But with AI, I’m increasingly concerned that the temptations are there for the MBAs/executives out there to lay off employees and boost their short-term profits (so that Wall Street will reward them and so that they can get their year-end bonuses).
The reminder/lesson for businesses and organizations of all types (including colleges and universities):
Unless you want to piss off and lose your customers, always allow your customers to stop using a VRU and go directly to a person that they can talk to.
Then empower those employees on the front lines as much as possible so that they can get the issues resolved for your customers.
Don’t think you are putting your MBA to good use by laying off your employees after you implement some new VRU system or AI-backed system. Don’t be too quick to think that you’re going to save all kinds of money by going with AI. This might be the case down the line, but I wouldn’t be too quick to get there yet. And even when you do get there, please allow us to talk to human beings.
“The world is adapting to seismic shifts from generative AI,” says Luben Pampoulov, Partner at GSV Ventures. “AI co-pilots, AI tutors, AI content generators—AI is ubiquitous, and differentiation is increasingly critical. This is an impressive group of EdTech companies that are leveraging AI and driving positive outcomes for learners and society.”
Workforce Learning comprises 34% of the list, K-12 29%, Higher Education 24%, Adult Consumer Learning 10%, and Early Childhood 3%. Additionally, 21% of the companies stretch across two or more “Pre-K to Gray” categories. A broader move towards profitability is also evident: the collective gross and EBITDA margin score of the 2024 cohort increased 5% compared to 2023.
Selected from 2,000+ companies around the world based on revenue scale, revenue growth, user reach, geographic diversification, and margin profile, this impressive group is reaching an estimated 3 billion people and generating an estimated $23 billion in revenue.
While headlines trumpet the demise of the college degree, our joint report with Harvard Business School Project on Managing the Future of Work reveals a different reality. Many companies have announced dropping degree requirements, but sustained hiring changes remain elusive for most. This report identifies where the reality of Skills-Based Hiring is lagging well-meaning ambitions, and shows which companies are getting it right.
By 2027, businesses predict that almost half (44%) of workers’ core skills will be disrupted.
Technology is moving faster than companies can design and scale up their training programmes, found the World Economic Forum’s Future of Jobs Report.
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The Forum’s Global Risks Report 2024 found that “lack of economic opportunity” ranked as one of the top 10 biggest risks among risk experts over the next two years.
5. Skills will become even more important With 23% of jobs expected to change in the next five years, according to the Future of Jobs Report, millions of people will need to move between declining and growing jobs.
Partnering credentialing opportunities alongside pre-existing regional initiatives is a great way to get buy-in and create momentum.
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When Polk County schools began focusing on career and technical education in the spring of 2023, one of their goals was to help students succeed in the workplace by offering the opportunity to develop soft skills and earn micro-credentials to communicate with potential employers. The district collaborated with Education Design Lab, Muzzy Lane, Polk Vision, the Central Florida Development Council, and Southern New Hampshire University to make this dream a reality.
In its first few years, this collaboration has not only taught students valuable skills but has also provided employers with new recruitment opportunities and a linkage to a talent pipeline that they otherwise wouldn’t have had.
In the realm of technological advancements, artificial intelligence (AI) stands out as a beacon of immeasurable potential, yet also as a source of existential angst when considering that AI might already be beyond our ability to control.
His research underscores a chilling truth: our current understanding and control of AI are woefully inadequate, posing a threat that could either lead to unprecedented prosperity or catastrophic extinction.
From DSC: This next item is for actors, actresses, and voiceover specialists:
Turn your voice into passive income. — from elevenlabs.io; via Ben’s Bites Are you a professional voice actor? Sign up and share your voice today to start earning rewards every time it’s used.
15 legal Substacks worth your time — from jordanfurlong.substack.com by Jordan Furlong It’s my great pleasure to return the compliment of a Substack Recommendation and direct your attention to these terrific legal newsletters.
GeoLegal Notes, by Sean West, Co-Founder Hence Technologies, Santa Monica, CA. “Bridging the gap between global affairs and legal practice; helping equip legal leaders to thrive against a backdrop of increasing global complexity.”
—> Recommended post: Law and Politics of Supply Chains for Goods, AI and Knowledge
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In addition…please also take a moment to click through and check out these ten other excellent newsletters:
Abstract
We conducted the first randomized controlled trial to study the effect of AI assistance on human legal analysis. We randomly assigned law school students to complete realistic legal tasks either with or without the assistance of GPT-4. We tracked how long the students took on each task and blind-graded the results. We found that access to GPT-4 only slightly and inconsistently improved the quality of participants’ legal analysis but induced large and consistent increases in speed. AI assistance improved the quality of output unevenly—where it was useful at all, the lowest-skilled participants saw the largest improvements. On the other hand, AI assistance saved participants roughly the same amount of time regardless of their baseline speed. In follow up surveys, participants reported increased satisfaction from using AI to complete legal tasks and correctly predicted the tasks for which GPT-4 were most helpful. These results have important descriptive and normative implications for the future of lawyering. Descriptively, they suggest that AI assistance can significantly improve productivity and satisfaction, and that they can be selectively employed by lawyers in areas where they are most useful. Because these tools have an equalizing effect on performance, they may also promote equality in a famously unequal profession. Normatively, our findings suggest that law schools, lawyers, judges, and clients should affirmatively embrace AI tools and plan for a future in which they will become widespread.
Welcome to the first of a few special Legal Week 2024 edition episodes of “The Geek in Review,” where we looked for innovative and creative ideas on the road and recorded live from the bustling environment of the 2024 Legal Week conference in New York.
Marlene Gebauer notes the transformation of Legal Week into a thought leadership conference, with a special mention of keynote speaker Bryan Cranston’s impactful talk on storytelling, branding, and the thoughtful application of AI in both the acting world and the legal tech space.
In the second of a special series of interviews from Legal Week 2024 , co-hosts Greg Lambert and Marlene Gebauer welcomed Mollie Nichols, CEO, and Mark Noel, Chief Information and Technology Officer of Redgrave Data. Nichols and Noel discuss Redgrave Data’s mission to cut through the hype of legal tech innovations, particularly generative AI. Nichols emphasized the company’s focus on delivering custom solutions that meet clients’ actual needs and highlighted the importance of educating the legal community on effectively integrating new technologies into their practices.
Mark Noel emphasized the strategic addition of data scientists to their team, enabling Redgrave Data to develop and advise on cutting-edge technologies. He stressed the importance of applying generative AI judiciously, pointing out its limitations and the potential for misuse if not properly vetted. Noel and Nichols shared insights on navigating the legal tech landscape, emphasizing efficiency, data management, and the careful evaluation of tech solutions.
I can’t recall any prior technology that has simultaneously trigged both of breathless enthusiasm and panicked resistance . While the technology shows game changing promise, there are significant ethical, client relations, security and intellectual property concerns which still need to be addressed. The C-Suite survey charts the issues of concern where are impeding adoption of GenAI.
These days, whenever a customer asks me for my view of generative AI for law and where and how they should be using it, I reply with a simple analogy: Think ‘Google Maps for lawyers’.
Analogising generative AI for law to mapping technology begins with thinking about legal matters as journeys. A similar conceptualisation appears in a recent article by Justin Turman, legal systems and processes manager at Stryker, with legal work as flight paths. Either way, you have a desired destination (winning a lawsuit, closing a deal, finalising a contract, etc.) and many possible ‘routes’ reflecting various strategic and tactical decisions along the way. At various junctures, it is helpful to get intelligence and directions on how to proceed. And, as with driving (or flying), circumstances are subject to change along the way – newly discovered facts, shifts in goals, etc.
Based on that bathroom-break induced inspiration, Neal went on to develop — and this week launch — Lexplug, a site developed for law students “to make interacting with cases more accessible, efficient, and engaging.”
Search, Query and Simplify Case BriefsAt its core, Lexplug is a library of case briefs, all created by Neal using GPT-4. So far, he has created 7,000 briefs, and hopes to have 50,000 by the end of the year. To decide which cases to prioritize, he collected a variety of syllabi for basic law school courses such as constitutional law and torts and extracted the key cases. He also has the full text of every briefed case.
But there is another, related, kind of justice gap in this country. It is the funding gap between those who are developing legal technology to better meet the legal needs of low-income Americans and those who are developing legal tech to serve large law firms and corporate legal departments.
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At Legalweek, the focus of the conference is almost exclusively on tech for large law firms and corporate legal departments. The sponsors and exhibitors are focused on products for e-discovery, contract lifecycle management, large firm financial and business management, and the like. The programs, similarly, focus on data privacy, e-discovery, information governance, contract technology, and large-scale litigation.
The exhibit hall spans three floors, the booths are big and bright, and the vendors seemingly all throw parties that are over the top, or quite literally near the top, at venues such as the Rainbow Room at the top of Rockefeller Center, with freely flowing alcohol and plenty of food.
By contrast, at the ITC conference, the attendees come mostly from the ranks of legal aid offices, pro-bono programs, court self-help staff, and the like. The programs focus on how understaffed legal aid offices and understaffed courts and understaffed community programs can use technology to help meet the influx of low-income people seeking legal help.
The juxtaposition of the glitziness of one conference and the modesty of the other speaks to the larger issue of inequity in legal tech – and specifically financial inequity.
The scammers used digitally recreated versions of an international company’s Chief Financial Officer and other employees to order $25 million in money transfers during a video conference call containing just one real person.
The victim, an employee at the Hong Kong branch of an unnamed multinational firm, was duped into taking part in a video conference call in which they were the only real person – the rest of the group were fake representations of real people, writes SCMP.
As we’ve seen in previous incidents where deepfakes were used to recreate someone without their permission, the scammers utilized publicly available video and audio footage to create these digital versions.
Since we launched Bard last year, people all over the world have used it to collaborate with AI in a completely new way — to prepare for job interviews, debug code, brainstorm new business ideas or, as we announced last week, create captivating images.
Our mission with Bard has always been to give you direct access to our AI models, and Gemini represents our most capable family of models. To reflect this, Bard will now simply be known as Gemini.
A new way to discover places with generative AI in Maps— from blog.google by Miriam Daniel; via AI Valley Here’s a look at how we’re bringing generative AI to Maps — rolling out this week to select Local Guides in the U.S.
Today, we’re introducing a new way to discover places with generative AI to help you do just that — no matter how specific, niche or broad your needs might be. Simply say what you’re looking for and our large-language models (LLMs) will analyze Maps’ detailed information about more than 250 million places and trusted insights from our community of over 300 million contributors to quickly make suggestions for where to go.
Starting in the U.S., this early access experiment launches this week to select Local Guides, who are some of the most active and passionate members of the Maps community. Their insights and valuable feedback will help us shape this feature so we can bring it to everyone over time.
Google Prepares for a Future Where Search Isn’t King — from wired.com by Lauren Goode CEO Sundar Pichai tells WIRED that Google’s new, more powerful Gemini chatbot is an experiment in offering users a way to get things done without a search engine. It’s also a direct shot at ChatGPT.
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