AI Project Challenges, New Tools from Stability AI & Anthropic, and Apple's Vision Pro Future Uncertain

[00:00:01] It's Thursday, October 24th, 2024, and I'm Dave Sobel. Three things to know today.

[00:00:07] Declining AI project success points to the need for better data and workforce training in both Fed and corporate spaces.

[00:00:15] Stability AI unveils image models, Anthropic enhances developer tools, and Microsoft launches co-pilot agents.

[00:00:22] And with Vision Pro's future in doubt, Apple prepares for affordable successor by next year.

[00:00:28] This is the Business of Tech.

[00:00:32] A recent survey by Appen, an AI data services company, reveals that the deployment of AI projects and their return on investment have declined.

[00:00:40] The survey, which included responses from 500 IT decision makers across various U.S. industries, found that the mean percentage of AI projects deployed fell from 55.5% in 2021 to 47.4% in 2024.

[00:00:56] Additionally, the percentage of deployed projects that showed significant ROI dropped from 56.7% to 47.3%.

[00:01:07] Appen attributes this decline to a lack of high-quality training data, emphasizing that incorporating expertly labeled data can enhance the accuracy and relevance of AI models.

[00:01:18] Meanwhile, a Gartner report highlights that 49% of businesses struggle to estimate the value of AI projects complicating adoption.

[00:01:26] Despite these challenges, EY reports that about a third of senior leaders see positive results on AI investments, particularly in operational efficiency and customer satisfaction.

[00:01:37] A recent FedScoop report highlights significant challenges U.S. federal agencies face in adopting artificial intelligence.

[00:01:45] The report reveals that 29 agencies participated, with many citing data hurdles and a lack of AI-trained employees as major obstacles.

[00:01:54] Specifically, a dozen agencies noted issues with data management, while six reported insufficient funding for their AI initiatives.

[00:02:03] The Department of Energy expressed concerns over security issues with cloud services and a shortage of necessary graphics processing units.

[00:02:11] Furthermore, the Nuclear Regulatory Commission acknowledged a workforce that is both interested in AI and fearful due to lack of understanding.

[00:02:21] A new report from the Capgemini Research Institute highlights the transformative potential of generative AI in entry-level careers, predicting that it could facilitate 32% of entry-level tasks over the next year.

[00:02:34] The report indicates that generative AI tools may save junior employees an average of 18% of their time, leading to significant productivity improvements.

[00:02:43] However, despite 97% of leaders and managers experimenting with generative AI tools, only 15% use them daily.

[00:02:51] The research also suggests that new roles such as data curators and AI ethics specialists are expected to emerge, with 81% of leaders anticipating this shift.

[00:03:03] Furthermore, while many managers believe generative AI can enhance strategic decision-making, nearly half of teams use AI primarily as a tool rather than a collaborative partner.

[00:03:13] The report underscores the need for training and support to equip employees with essential generative AI skills, as only 16% feel adequately prepared for the transition.

[00:03:25] Why do we care?

[00:03:26] These findings indicate that the federal government is struggling to keep pace with the AI revolution, which could endure its ability to implement advanced technological solutions effectively.

[00:03:36] Federal agencies' AI adoption struggles open consulting, training, and managed services opportunities, especially in securing infrastructure and training staff.

[00:03:44] AI adoption isn't just about technology.

[00:03:46] It's about cultural and operational preparedness.

[00:03:50] And whether in the private or public sectors, AI successes hinges on data quality.

[00:03:56] This calls for significant investment in better data management solutions and expertise.

[00:04:01] The Appen survey reveals a concerning drop in both AI project deployments and the returns they generate.

[00:04:08] The decline in deployment from 55.5% in 2021 to 47.4% in 2024 suggests that businesses are becoming more cautious about rolling out AI solutions.

[00:04:18] It also signals that AI projects may be overhyped relative to their practical benefits, unless this data challenge is addressed.

[00:04:28] To close the gap, the focus needs to shift to prioritizing data management and quality.

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[00:05:22] Stability AI has unveiled its latest image generation models, the Stable Diffusion 3.5 series,

[00:05:28] which the company claims will produce more diverse outputs, depicting a wider range of skin tones and features.

[00:05:35] The series includes three models, the powerful Stable Diffusion 3.5 Large with 8 billion parameters,

[00:05:41] the faster Large Turbo version, and the Medium model optimized for mobile devices, set to launch on October 29th.

[00:05:49] Stability emphasizes that these models are designed to generate images without extensive prompting and may yield greater output variation.

[00:05:59] The models are free for non-commercial use, while businesses earning over $1 million annually must obtain an enterprise license.

[00:06:06] Stability also allows users to request the removal of their data from training sets, with around 80 million images already removed since March 2023.

[00:06:16] The company remains proactive in addressing copyright concerns and ensuring safe usage of its technology amidst ongoing discussion about AI's implication in various domains.

[00:06:25] An Anthropic has launched updated AI models designed to automate mouse clicks and streamline tasks for software developers.

[00:06:33] The new Computer Use feature allows the AI to perform complex actions like mouse movements and typing commands autonomously.

[00:06:42] The advancement marks a shift toward AI agents that can execute multi-step processes with minimal human input.

[00:06:49] Anthropic's models, including the newly updated 3.5 Haiku and mid-tier Sonnet, are priced based on performance.

[00:06:57] The company emphasizes the importance of user feedback in refining the feature further.

[00:07:02] Current safeguards are in place to prevent misuse in areas such as spam and fraud, although they acknowledge that AI is not infallible.

[00:07:11] Anthropic has also updated its Responsible Scaling policy to manage better the risks associated with increasingly capable AI systems.

[00:07:18] The new framework emphasizes that as AI capabilities grow, so must safety measures, with the company committing not to train or deploy AI models without implementing adequate safeguards.

[00:07:30] Anthropic currently assesses its models under four AI safety levels, with all existing models meeting at least the ASL2 standard.

[00:07:38] Microsoft is set to launch its co-pilot AI agents next month, allowing customers to automate tasks using a no-code interface.

[00:07:46] The company claims significant productivity improvements, citing Honeywell's experience equivalent to adding 187 full-time employees through co-pilot usage.

[00:07:57] In testing, Microsoft reported that sales teams using co-pilot achieved a 9.4% revenue increase per seller and closed 20% more deals.

[00:08:06] However, experts urge caution regarding these claims, as percentage improvements can be misleading without clear baseline data.

[00:08:14] As enterprise adopt these agents, whether they will be trusted to make decisions autonomously or merely add to existing alert systems remains to be seen.

[00:08:23] Why do we care?

[00:08:24] So, everything from Stability AI, Anthropic, and Microsoft signals a broader movement toward the increased adoption of AI tools across various applications, from creative content generation to software development to business ops.

[00:08:36] These developments represent both opportunities and challenges for providers.

[00:08:40] The need to integrate AI responsibly, demonstrate measurable ROI, and navigate ethical concerns will shape how providers deploy these tools in client environments.

[00:08:50] Continuing to know the models and their capabilities is part of the required skills to meet customers' needs.

[00:08:57] Per reporting in the information, Apple has significantly reduced production of its Vision Pro mixed reality headset and may discontinue the current version by the end of the year.

[00:09:08] This decision, driven by insights from multiple component builders, indicates that Apple has ample inventory to satisfy demand.

[00:09:17] Early this year, Apple shifted its focus toward developing a more affordable model, which is expected to launch by late 2025 and could replace the existing $3,500 headset.

[00:09:28] Why?

[00:09:29] Well, developer enthusiasm for the device appears lacking.

[00:09:33] According to app figures, only two apps specifically designed for the device were launched in September, a significant drop from 252 in February.

[00:09:42] Overall, there are around 1770 apps available for the Vision Pro and Apple's App Store, while Tim Cook claimed there were more than 2,500 native apps during a recent earnings call.

[00:09:53] The device has not gained traction in popular culture.

[00:09:56] Despite Apple's efforts to develop its own content, such as the immersive short film, Submerged, skepticism remains about whether these offerings are sufficient to drive sales.

[00:10:07] The ongoing challenge for Apple is breaking this cycle where consumers want great apps, but developers are hesitant to create them for a device that hasn't gained widespread popularity.

[00:10:18] Why do we care?

[00:10:20] Half a million units sold was a modest goal to declare victory for the device, and it seems Apple won't hit it.

[00:10:27] It's becoming increasingly clear that this is not the form factor for spatial computing, which likely looks more like Meta's Ray-Ban glasses than Apple's Vision Pro.

[00:10:37] This trend is significantly further out than the predictions indicated.

[00:10:41] It may be a technology dead-end looking for a solution.

[00:10:44] When the form factor is different, perhaps face computers will be a thing.

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[00:11:41] Thanks for listening.

[00:11:42] It's National Food Day.

[00:11:44] Apparently, all food, although a focus on production safety and hunger prevention.

[00:11:49] It's also National Jamaican Jerk Day, so that kind of food too.

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