Top Software Engineering Newsletters in 2024 — from ai-supremacy.com by Michael Spencer Including a very select few ML, AI and product Newsletters into the mix for Software Engineers.
This is an article specifically for the software engineers and developers among you.
In the past year (2023-2024) professionals are finding more value in Newsletters than ever before (especially on Substack).
As working from home took off, the nature of mentorship and skill acquisition has also evolved and shifted. Newsletters with pragmatic advice on our careers it turns out, are super valuable. This article is a resource list. Are you a software developer, work with one or know someone who is or wants to be?
As Americans live and work longer, many now find themselves needing to change jobs and careers several times within their lifetimes.
Now, Georgia Institute of Technology has created a new college to serve just these learners. Georgia Tech last week launched its College of Lifetime Learning, which will combine degree programs with non-degree programs, and seeks to educate 114K students by 2030. That would enable the university to double the current number of degrees granted and nondegree students served.
“What we’re hearing is that with the advancing pace of digitization taking place, changing demographics, people working longer, for example, higher ed needs to do something in addition to what it already has been doing” says Nelson Baker, interim dean of the new college.
Now a quarter way through the 21st century, higher education is again in need of a reboot. Post Covid, colleges are closing one per week. More than 40M U.S. learners have started college but never finished. Nearly two-thirds of those learners would complete their degree but can’t afford to. Student debt now sits at almost $2T. Americans are losing faith in higher education.
Enter the apprenticeship degree, where students can earn a debt-free, four-year degree entirely embedded within a full-time, paid job. In the U.K., with government tax incentives, the apprenticeship-to-degree model has surged in eight years from zero to 50K new enrollments, making progress toward an expected 20% of postsecondary starts within the decade. As I have previously written, I believe the apprenticeship degree is just what American higher education needs to meet the moment.
This stagnation in hiring is placing talent acquisition and retention near the top of the list of biggest concerns for business leaders. According to a pulse survey fielded by RGP in June, one in four financial decision makers (26%) say that acquiring and retaining talent is their top concern for the second half of 2024 – second only to the integration of more digital strategies, including AI and automation (30%). Nearly half (45%) of financial decision makers say their organization plans to increase investment in resources to reskill or upskill current employees this year.
From DSC: Anyone who is involved in putting on conferences should at least be aware that this kind of thing is now possible!!! Check out the following posting from Adobe (with help from Tata Consultancy Services (TCS).
This year, the organizers — innovative industry event company Beyond Ordinary Events — turned to Tata Consultancy Services (TCS) to make the impossible “possible.” Leveraging Adobe generative AI technology across products like Adobe Premiere Pro and Acrobat, they distilled hours of video content in minutes, delivering timely dispatches to thousands of attendees throughout the conference.
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For POSSIBLE ’24, Muche had an idea for a daily dispatch summarizing each day’s sessions so attendees wouldn’t miss a single insight. But timing would be critical. The dispatch needed to reach attendees shortly after sessions ended to fuel discussions over dinner and carry the excitement over to the next day.
The workflow started in Adobe Premiere Pro, with the writer opening a recording of each session and using the Speech to Text feature to automatically generate a transcript. They saved the transcript as a PDF file and opened it in Adobe Acrobat Pro. Then, using Adobe Acrobat AI Assistant, the writer asked for a session summary.
It was that fast and easy. In less than four minutes, one person turned a 30-minute session into an accurate, useful summary ready for review and publication.
By taking advantage of templates, the designer then added each AI-enabled summary to the newsletter in minutes. With just two people and generative AI technology, TCS accomplished the impossible — for the first time delivering an informative, polished newsletter to all 3,500 conference attendees just hours after the last session of the day.
The Success Rates report and data files show the number of degree-seeking students who enter a Michigan postsecondary community college or public university and achieve a successful outcome. This includes data for Michigan’s 28 community colleges and 15 public universities, along with aggregate metrics for the community college and public university sectors broken out by race/ethnicity and gender.
Successful outcomes include:
Earning a certificate
Earning an associate degree
Earning a bachelor’s degree
Transferring to a university (for community college students)
These rates capture both part- and full-time enrollment for all degree-seeking students as well as mobility between institutions.
The report and data files are updated in late spring. See the Recently Posted Reports page for when they were last updated.
Interested in exploring in-demand jobs in Michigan? Explore Michigan’s Hot 50 Job Outlook through 2030, which includes the anticipated job growth, the average wage and the minimum education requirements for each occupation through 2028. The publication is intended to provide valuable career information to students in high school, vocational and community colleges, as well as job seekers. Additional occupational forecasts and research are available in Michigan’s Online Job Demand, a publication from Michigan’s Labor Market Information.
The Roadmap to Opportunity highlights in-demand, high-wage careers. Explore hot job career pathways that require a certificate or an associate degree. Hear from Michigan residents who have chosen these careers and why. The website includes pathway information for the careers, including information on available programs, hourly wage rates, and cool classes you can take.
Pure Michigan Talent Connect is your launch pad for new jobs, careers and job fairs. It is a tool connecting Michigan’s job seekers and employers and serves as a central hub linking all public and private stakeholders who support Michigan’s workforce. Pure Michigan Talent Connect serves as the state’s labor exchange system.
The Michigan Department of Education (MDE) has partnered with the Michigan Department of Labor and Economic Opportunity (LEO) and other statewide stakeholders to develop a post-graduation opportunities informational packet available on LEO’s Pathfinder resources page.
To comply with Michigan law*, districts are required to distribute the link above to all students in grades 8-12 by October 1 of each year. The information below is supplemental and focused on local opportunities and resources, assembled by Kent ISD staff.
I’m Not Sure / Assess My Skills The Educational Development Plan (EDP) tools listed on the Pathfinder site are free and very useful. However, most school districts supply students with EDP software such as Xello, Naviance, and Mavin for Career Development starting in 7th grade. Parents and teachers of enrolled students have access to their students’ EDP data through (and, in some cases, past) graduation. Consult with your school district for access to this resource.
DC: While I’m glad that wasn’t part of my K-12 experience, I’m sad for our kids and the younger generations growing up in such a time. What if we truly cared about each other? How would our society look/be different? https://t.co/SySp78NAwk
From DSC:
I realize that’s a gross generalization, but I think we all experience numerous times these days when businesses and others don’t really care about us.
What An Agent Is
Agents are computer programs that can autonomously perform tasks, make decisions and interact with humans or other computers. There are many different types of agents, and they are designed to achieve specific goals spanning our lives and nearly every industry, making them an integral and unstoppable part of our future.
Learning: AI agents will transform education by providing personalized learning experiences such as one-to-one tutoring. ChatGPT and other large language models (LLMs) are providing access to all digital knowledge now. An “agent” would act as a more personalized version of an LLM.
The hacking and control of an AI agent could lead to disastrous consequences, affecting privacy, security, the economy and societal stability. Proactive and comprehensive security strategies are essential to mitigate these risks in the future.
86% of students globally are regularly using AI in their studies, with 54% of them using AI on a weekly basis, the recent Digital Education Council Global AI Student Survey found.
ChatGPT was found to be the most widely used AI tool, with 66% of students using it, and over 2 in 3 students reported using AI for information searching.
Despite their high rates of AI usage, 1 in 2 students do not feel AI ready. 58% reported that they do not feel that they had sufficient AI knowledge and skills, and 48% do not feel adequately prepared for an AI-enabled workplace.
The Post-AI Instructional Designer— from drphilippahardman.substack.com by Dr. Philippa Hardman How the ID role is changing, and what this means for your key skills, roles & responsibilities
Specifically, the study revealed that teachers who reported most productivity gains were those who used AI not just for creating outputs (like quizzes or worksheets) but also for seeking input on their ideas, decisions and strategies.
Those who engaged with AI as a thought partner throughout their workflow, using it to generate ideas, define problems, refine approaches, develop strategies and gain confidence in their decisions gained significantly more from their collaboration with AI than those who only delegated functional tasks to AI.
Leveraging Generative AI for Inclusive Excellence in Higher Education — from er.educause.edu by Lorna Gonzalez, Kristi O’Neil-Gonzalez, Megan Eberhardt-Alstot, Michael McGarry and Georgia Van Tyne Drawing from three lenses of inclusion, this article considers how to leverage generative AI as part of a constellation of mission-centered inclusive practices in higher education.
The hype and hesitation about generative artificial intelligence (AI) diffusion have led some colleges and universities to take a wait-and-see approach.Footnote1 However, AI integration does not need to be an either/or proposition where its use is either embraced or restricted or its adoption aimed at replacing or outright rejecting existing institutional functions and practices. Educators, educational leaders, and others considering academic applications for emerging technologies should consider ways in which generative AI can complement or augment mission-focused practices, such as those aimed at accessibility, diversity, equity, and inclusion. Drawing from three lenses of inclusion—accessibility, identity, and epistemology—this article offers practical suggestions and considerations that educators can deploy now. It also presents an imperative for higher education leaders to partner toward an infrastructure that enables inclusive practices in light of AI diffusion.
An example way to leverage AI:
How to Leverage AI for Identity Inclusion Educators can use the following strategies to intentionally design instructional content with identity inclusion in mind.
Provide a GPT or AI assistant with upcoming lesson content (e.g., lecture materials or assignment instructions) and ask it to provide feedback (e.g., troublesome vocabulary, difficult concepts, or complementary activities) from certain perspectives. Begin with a single perspective (e.g., first-time, first-year student), but layer in more to build complexity as you interact with the GPT output.
Gen AI’s next inflection point: From employee experimentation to organizational transformation — from mckinsey.com by Charlotte Relyea, Dana Maor, and Sandra Durth with Jan Bouly As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.
To harness employees’ enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organization works with gen AI; the technology alone won’t create value.
Our research shows that early adopters prioritize talent and the human side of gen AI more than other companies (Exhibit 3). Our survey shows that nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25 percent of the experimenters. Early adopters focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn’t enough to close gaps and outsourcing can hinder strategic-skills development.Finally, 40 percent of early-adopter respondents say their organizations provide extensive support to encourage employee adoption, versus 9 percent of experimenter respondents.
Change blindness — from oneusefulthing.org by Ethan Mollick 21 months later
I don’t think anyone is completely certain about where AI is going, but we do know that things have changed very quickly, as the examples in this post have hopefully demonstrated. If this rate of change continues, the world will look very different in another 21 months. The only way to know is to live through it.
Over the subsequent weeks, I’ve made other adjustments, but that first one was the one I asked myself:
What are you doing?
Why are you doing it that way?
How could you change that workflow with AI?
Applying the AI to the workflow, then asking, “Is this what I was aiming for? How can I improve the prompt to get closer?”
Documenting what worked (or didn’t). Re-doing the work with AI to see what happened, and asking again, “Did this work?”
So, something that took me WEEKS of hard work, and in some cases I found impossible, was made easy. Like, instead of weeks, it takes 10 minutes. The hard part? Building the prompt to do what I want, fine-tuning it to get the result. But that doesn’t take as long now.
Lou Gerstner, writing about his legendary turnaround at IBM, said, “Culture isn’t just one aspect of the game, it is the game. In the end, an organization is nothing more than the collective capacity of its people to create value… What does the culture reward and punish – individual achievement or team play, risk taking or consensus building?”
Most business gurus would readily agree with that, but if you’d ask them what culture actually is they would be hard pressed to give a coherent answer. Anthropologists, on the other hand, are much more rigorous in their approach and most would agree that three essential elements of a culture are norms, rituals and behaviors.
In a positive organizational culture, norms and rituals support behaviors that honor the mission of the enterprise. Negative cultures undermine that mission. A common problem with many transformation initiatives is that they focus on designing incentives to alter behaviors. Unfortunately, unless you can shift norms and rituals, nothing is likely to change.
Today the workforce is getting older, and the number of younger workers in positions of senior management is growing. These two developments might appear to spell trouble, in that they seem to set the generations against one another, but the author of this article argues that in fact they represent an important opportunity: If companies can figure out how to enable the intergenerational transfer of the wisdom that comes with age and experience, they can strengthen themselves — and the workplace as a whole.
It also allowed us to develop a list of the character qualities that most commonly defined our best informal mentors, among them: less ego and more collaboration skills, a knack at asking generative questions, and an ability to offer unvarnished insight that feels like a gift as opposed to judgment.
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It’s time that we invest as much energy in helping older workers distill their wisdom as we do in helping younger workers accumulate their knowledge.
From DSC: I think Chip hits on many important and valuable insights in this article. His messages apply to all kinds of organizations. Still, they are especially relevant to the Magnificent Seven (i.e., Google parent Alphabet, Meta Platforms, Amazon.com, Tesla, Apple, Microsoft, and Nvidia) and other tech-related companies who often move forward with designing and producing things without ever thinking about whether they SHOULD be producing those things. What are the positive and negative ramifications of this technology on society? THAT’s a wise question.
Rolling out today: Gemini Live <– Google swoops in before OpenAI can get their Voice Mode out there
Gemini Live is a mobile conversational experience that lets you have free-flowing conversations with Gemini. Want to brainstorm potential jobs that are well-suited to your skillset or degree? Go Live with Gemini and ask about them. You can even interrupt mid-response to dive deeper on a particular point, or pause a conversation and come back to it later. It’s like having a sidekick in your pocket who you can chat with about new ideas or practice with for an important conversation.
Gemini Live is also available hands-free: You can keep talking with the Gemini app in the background or when your phone is locked, so you can carry on your conversation on the go, just like you might on a regular phone call. Gemini Live begins rolling out today in English to our Gemini Advanced subscribers on Android phones, and in the coming weeks will expand to iOS and more languages.
To make speaking to Gemini feel even more natural, we’re introducing 10 new voices to choose from, so you can pick the tone and style that works best for you.
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We’re introducing Gemini Live, a more natural way to interact with Gemini. You can now have a free-flowing conversation, and even interrupt or change topics just like you might on a regular phone call. Available to Gemini Advanced subscribers. #MadeByGooglepic.twitter.com/eNjlNKubsv
Why it matters: Real-time voice is slowly shifting AI from a tool we text/prompt with, to an intelligence that we collaborate, learn, consult, and grow with. As the world’s anticipation for OpenAI’s unreleased products grows, Google has swooped in to steal the spotlight as the first to lead widespread advanced AI voice rollouts.
In a recent Q&A session at Stanford, Eric Schmidt, former CEO and Chairman of search giant Google, offered a compelling vision of the near future in artificial intelligence. His predictions, both exciting and sobering, paint a picture of a world on the brink of a technological revolution that could dwarf the impact of social media.
Schmidt highlighted three key advancements that he believes will converge to create this transformative wave: very large context windows, agents, and text-to-action capabilities. These developments, according to Schmidt, are not just incremental improvements but game-changers that could reshape our interaction with technology and the world at large.
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Eric Schmidt says in the next year, AI models will unite three key pillars: very large context windows, agents and text-to-action, and no-one understands what the impact will be but it will involve everyone having a fleet of AI agents at their command pic.twitter.com/roYSfZGQ5J
The rise of multimodal AI agents— from 11onze.cat Technology companies are investing large amounts of money in creating new multimodal artificial intelligence models and algorithms that can learn, reason and make decisions autonomously after collecting and analysing data.
The future of multimodal agents In practical terms, a multimodal AI agent can, for example, analyse a text while processing an image, spoken language, or an audio clip to give a more complete and accurate response, both through voice and text. This opens up new possibilities in various fields: from education and healthcare to e-commerce and customer service.
AI Change Management: 41 Tactics to Use (August 2024)— from flexos.work by Daan van Rossum Future-proof companies are investing in driving AI adoption, but many don’t know where to start. The experts recommend these 41 tips for AI change management.
As Matt Kropp told me in our interview, BCG has a 10-20-70 rule for AI at work:
10% is the LLM or algorithm
20% is the software layer around it (like ChatGPT)
70% is the human factor
This 70% is exactly why change management is key in driving AI adoption.
But where do you start?
As I coach leaders at companies like Apple, Toyota, Amazon, L’Oréal, and Gartner in our Lead with AI program, I know that’s the question on everyone’s minds.
I don’t believe in gatekeeping this information, so here are 41 principles and tactics I share with our community members looking for winning AI change management principles.
Claude is so good
Prompt:
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I am using a video generator
Please give me a map of all the different types of shots and things I can enter for my prompt.
The Skills Of The Future Are Clear: Ability To Drive Change I had an interesting set of meetings today with a group of HR leaders we talk with every few weeks. Every single one of the CHROs and other leaders told us they are investing in “change management” and “business transformation” skills in their people. What does that mean?
It means just this. While we all want more engineers, manufacturing gurus, scientists, and sales and marketing experts in our companies, the biggest set of “skills” we need is the “ability to drive change.” That particular skill is quite complex, learned over time, and massively important at the moment. And that led me to my final point.
Some of the nation’s biggest tech companies have announced efforts to reskill people to avoid job losses caused by artificial intelligence, even as they work to perfect the technology that could eliminate millions of those jobs.
It’s fair to ask, however: What should college students and prospective students, weighing their choices and possible time and financial expenses, think of this?
The news this spring was encouraging for people seeking to reinvent their careers to grab middle-class jobs and a shot at economic security.
For too long, students with learning disabilities have struggled to navigate a traditional education system that often fails to meet their unique needs. But what if technology could help bridge the gap, offering personalized support and unlocking the full potential of every learner?
Artificial intelligence (AI) is emerging as a powerful ally in special education, offering many opportunities to create more inclusive and effective learning experiences for students with diverse learning profiles.
*SearchGPT
*Smaller & on-device (phones, glasses) AI models
*AI TAs
*Access barriers decline, equity barriers grow
*Claude Artifacts and Projects
*Agents, and Agent Teams of a million+
*Humanoid robots & self-driving cars
*AI Curricular integration
*Huge video and video-segmentation gains
*Writing Detectors — The final blow
*AI Unemployment, Student AI anxiety, and forward-thinking approaches
*Alternative assessments
Since then, two more pieces have been widely shared including this piece from Inside Higher Ed by Kathryn Palmer (and to which I was interviewed and mentioned in) and this piece from Chronicle of Higher Ed by Christa Dutton. Both pieces try to cover the different sides talking to authors, scanning the commentary online, finding some experts to consult and talking to the publishers. It’s one of those things that can feel like really important and also probably only to a very small amount of folks that find themselves thinking about academic publishing, scholarly communication, and generative AI.
In one respect, we already have a partial answer. Over the last thirty years, there has been a dramatic shift from a teaching-centered to a learning-centered education model. High-impact practices, such as service learning, undergraduate research, and living-learning communities, are common and embraced because they help students see the real-world connections of what they are learning and make learning personal.11
Therefore, I believe we must double down on a learning-centered model in the age of AI.
The first step is to fully and enthusiastically embrace AI.
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The second step is to find the “jagged technological frontier” of using AI in the college classroom.
“People with disabilities have been wanting to work, eager to work, capable of work,” he explained. “But it wasn’t until this huge change in the way we approached work that the opportunities presented themselves,” he continued.
People with disabilities have been entering the U.S. workforce at record levels over the past three years, the most recent Bureau of Labor Statistics data shows. A recent analysis from LinkedIn’s Economic Graph team suggests an increase in more amenable company policies and working accommodations contributes to this trend.
In May 2024, more than half (54.3%) of LinkedIn members who self-identified as having a disability applied for remote positions. What’s more? Since March 2021, members with disabilities have consistently accounted for a higher share of job applications to remote positions than members who report no disabilities.
Despite the opportunities created by the ADA — and the rise of remote work — many people with disabilities still face barriers in the workforce. LinkedIn’s data scientists and editors parsed the data to identify the most common roles for workers with disabilities, how those with disabilities are progressing in their careers and how employers can continue to support more inclusive hiring.
The New Entry-Level Job (and Skill)
In a world where AI can perform entry-level tasks, and employers are prioritizing experienced candidates, how can recent college graduates and job seekers find a job?
AI is the new entry-level skill. As AI permeates every industry, it’s becoming increasingly common for employers to ask candidates how they think about applying AI to their jobs. (We’ve started asking this here at Reach ourselves.) Even if the job is not technical and doesn’t list AI as a skill, candidates would do well to prepare. Journalists, for instance, are warming up to using AI to transcribe interviews and suggest headlines.
So it’s not just AI that may take your entry-level role, but rather the person who knows how to use it. Candidates who are bracing for this technological shift and proactively building their AI literacy and expertise will have a leg up.
Leading school systems are incorporating AI tools such as tutoring, chatbots, and teacher assistants, and promoting AI literacy among teachers and students to adapt to the evolving role of AI in education.
And to understand the value of AI, they need to do R&D. Since AI doesn’t work like traditional software, but more like a person (even though it isn’t one), there is no reason to suspect that the IT department has the best AI prompters, nor that it has any particular insight into the best uses of AI inside an organization. IT certainly plays a role, but the actual use cases will come from workers and managers who find opportunities to use AI to help them with their job. In fact, for large companies, the source of any real advantage in AI will come from the expertise of their employees, which is needed to unlock the expertise latent in AI.
Ilya Sutskever, OpenAI’s co-founder and former chief scientist, is starting a new AI company focused on safety. In a post on Wednesday, Sutskever revealed Safe Superintelligence Inc. (SSI), a startup with “one goal and one product:” creating a safe and powerful AI system.
Ilya Sutskever Has a New Plan for Safe Superintelligence — from bloomberg.com by Ashlee Vance (behind a paywall) OpenAI’s co-founder discloses his plans to continue his work at a new research lab focused on artificial general intelligence.
Ilya Sutskever is kind of a big deal in AI, to put it lightly.
Part of OpenAI’s founding team, Ilya was Chief Data Scientist (read: genius) before being part of the coup that fired Sam Altman.
… Yesterday, Ilya announced that he’s forming a new initiative called Safe Superintelligence.
If AGI = AI that can perform a wide range of tasks at our level, then Superintelligence = an even more advanced AI that surpasses human capabilities in all areas.
As the tech giants compete in a global AI arms race, a frenzy of data center construction is sweeping the country. Some computing campuses require as much energy as a modest-sized city, turning tech firms that promised to lead the way into a clean energy future into some of the world’s most insatiable guzzlers of power. Their projected energy needs are so huge, some worry whether there will be enough electricity to meet them from any source.
Federal officials, AI model operators and cybersecurity companies ran the first joint simulation of a cyberattack involving a critical AI system last week.
Why it matters: Responding to a cyberattack on an AI-enabled system will require a different playbook than the typical hack, participants told Axios.
The big picture: Both Washington and Silicon Valley are attempting to get ahead of the unique cyber threats facing AI companies before they become more prominent.
Immediately after we saw Sora-like videos from KLING, Luma AI’s Dream Machine video results overshadowed them.
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Dream Machine is a next-generation AI video model that creates high-quality, realistic shots from text instructions and images.
Introducing Gen-3 Alpha — from runwayml.com by Anastasis Germanidis A new frontier for high-fidelity, controllable video generation.
AI-Generated Movies Are Around the Corner — from news.theaiexchange.com by The AI Exchange The future of AI in filmmaking; participate in our AI for Agencies survey
AI-Generated Feature Films Are Around the Corner.
We predict feature-film length AI-generated films are coming by the end of 2025, if not sooner.
