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- Senate Majority Leader Schumer pledges 'supercharged' path to AI regulation
Senate Majority Leader Schumer pledges 'supercharged' path to AI regulation
Plus: Hiber3D's AI-generated 3D worlds

Welcome to The Dispatch! We are the newsletter that keeps you informed about AI. Each weekday, we scour the web to aggregate the many stories related to artificial intelligence; we pass along the news, useful resources, tools or services, technical analysis and exciting developments in open source. Even if you aren’t an engineer, we’ll keep you in touch with what’s going on under the hood in AI.
Good morning. Today in AI:
US government talks regulation
Twitter/X privacy policy update allows for user data scraping
Microsoft patents a new AI … backpack?
(Tools) Hiber3D offers a (very early) window into the future of AI-generated 3D worlds
Helpful tutorials for using Claude-2 to write books, creating AI plug-ins with Microsoft’s open source Semantic Kernel & more
Reported by Fox News: Senate Majority Leader Chuck Schumer is accelerating the U.S. government's move to regulate artificial intelligence, signaling his intentions to make this a legislative priority as Congress reconvenes from its August break. To facilitate this, Schumer plans to launch "AI Insight Forums," which will bring together tech leaders and policymakers for meaningful discussions on the future of AI regulation. The first session, scheduled for September 13, is set to feature industry names including Elon Musk, Mark Zuckerberg, and Sam Altman.
More details:
Bipartisan Effort: Schumer has gathered a bipartisan AI working group that aims to make lawmakers more conversant on AI so they can engage in informed regulatory discussions. Sen. Todd Young, a Republican, applauds the forum approach, stating it will help Congress explore key policy issues around AI while keeping legislative authorities empowered.
Broad Policy Concerns: The push for regulation is being framed not just as a tech issue but as a matter of national security, job creation, and civil liberties. Schumer emphasizes that tackling AI regulation will be complex but essential.
Resistance and Concerns: While there is bipartisan interest in regulation, not all lawmakers are on board. Sen. Ted Cruz warns that stringent regulations could impede AI development in the U.S., potentially ceding leadership to China, which is heavily investing in AI.
Competing Priorities: This ambitious agenda comes at a time when the Senate has multiple pressing issues to resolve, including a spending deal to avert a government shutdown and the reauthorization of several critical programs.
Takeaways: Back in June, Schumer outlined a rough regulatory framework plan called “SAFE” Innovation. “Many want to ignore AI because it’s so complex,” Schumer said in a speech when he announced the framework. “But when it comes to AI, we cannot be ostriches sticking our heads in the sand.” Sound familiar? Schumer and SEC Chairman Gary Gensler have been among the loudest voices in US government pushing for more intense scrutiny being placed upon AI’s development and application.
In July, Sen. Cruz said: “At this point, Congress doesn't have even the barest modicum of understanding (about AI). So it is far more likely that Congress would do harm than do good.” While there’s an element of truth to the statement, efforts to educate policymakers are underway - and polls indicate that the American public majority wants more caution and regulation.
Additionally, Cruz’s fears that regulation could lead to the US falling behind China in an AI race are unfounded. China itself has the most detailed and robust regulatory frameworks of any country in the world, including it’s 2023 generative AI regulations.
X Corp, formerly known as Twitter, recently updated its privacy policy to allow the company to use user data to train artificial intelligence models. The update introduces new categories of data collection, including biometrics and employment history. However, the brief mentions of AI training and biometric collection provide little detail on how user data will actually be leveraged. |
Considering today’s regulation news, this sparse language could put X Corp at even greater odds with emerging federal laws around data use. Residents in a few states have already been given the right to opt-out of having their data used for automated tech. The changes also raise questions around X Corp's 2011 consent decree with the Federal Trade Commission, which puts their data security practices under scrutiny until 2042. X Corp recently filed to have FTC oversight dismissed. There has been no ruling yet.
Microsoft has filed a patent for an AI-powered smart backpack that can interact with users and the environment. The backpack contains a camera, microphone, speaker, and other sensors to identify objects, listen to commands, and access cloud information. According to the patent filing, the backpack would leverage AI to perform contextual tasks - examples included checking ski conditions, adding calendar reminders, comparing grocery prices, and more. |
“Digital assistants are becoming more versatile due to advancements in computing. The present concepts relate to improvements in wearable digital assistants that can perform various tasks for the benefit of users,” says Microsoft.
Deloitte: AI to rapidly disrupt Australian economy
Gizmodo’s owner shuts down Spanish language site in favor of AI translations
Noonoouri becomes first digital artist to be signed by Warner Music
How Amazon missed early chances to partner with OpenAI, Cohere and Anthropic
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Researchers have developed an artificial intelligence system that can predict how a chemical will smell just by analyzing its molecular structure. In tests, the AI network matched human DESCRIPTORS of odors for unknown chemicals over 50% of the time, outperforming any individual human sniffer. Past AI systems have struggled to systematically link chemical structures to scents. |
The researchers suggest this AI "nose" could accelerate the development of new and improved smells for consumer products like foods, perfumes, and cleaners. Looking ahead, if the system can be trained to evaluate smell mixtures like those in the real world, AI odor prediction could find applications in public health. For example, AI noses could help identify dangerous gases, spoiled foods, and disease biomarkers based on odor cues imperceptible to humans. While not mimicking biological olfaction, this artificial nose demonstrates AI's ability to tackle a complex human sense once thought too difficult to model.
AudioLDM 2 is another breakthrough in multi-modal audio AI (after Meta’s SeamlessM4T), providing a unified framework for high-quality text-to-audio generation. Without relying on laborious audio annotations, the model leverages self-supervised pretraining and latent diffusion to convert text prompts into sound effects, music, and human speech. AudioLDM 2 generates audio conditional on text by integrating auto-regressive and latent diffusion architectures. |
With innovations like dual-encoder text embeddings and cross-attention conditioning, the model achieves state-of-the-art results in text-to-audio tasks. Available in multiple model sizes optimized for different modalities, AudioLDM 2 lowers barriers to audio generation and audio-based AI research.
Testing an AI-first code editor (Cursor AI): good for intermediate devs
MVDream: Multi-view Diffusion for 3D Generation
GPT Pilot: codes the entire app as you oversee the code being written

Trending AI Tools & Services:
Hiber3D: a lightweight game engine built in C++ with a wide set of services, compatible across all major mobile, tablet, and desktop browsers, native apps, PCs, and consoles
Droxy: all-in-one no-code AI chatbot builder
From InvertedStone: connect Google Sheets to OpenAI API
(App) EditApp: easily create and tweak images directly on your device (iPhone/Pad only)
AudioSonic: turn text into human-like speech instantly
Guides/useful/lists/fun:
(YouTube) How to hire an AI CEO - ChatGPT advanced data analysis
How business thinkers can start building AI plugins with Semantic Kernel
How to stop Meta from using some of your personal data to train generative AI models
I needed a mechanic. Here's how ChatGPT Plus helped me skip reading online reviews
How to write books using AI with Claude 2.0
Social media/video/podcast:
(Sensitive content) AI girlfriend/sex worker ads are flooding Instagram and TikTok [NBC News]
(Discussion) ChatGPT - too ‘holier than thou’? [Reddit]
(Discussion) Useful AI: automatic detection, aimbot, water cannon sprinkler system [Reddit]
Reinforcement learning takes robotics to the next level [X]
Midjourney better watch out! Ideogram AI comes out swinging! [YouTube]
Andrew Ng/Stanford University: Opportunities in AI - 2023 [YouTube]
Did you know?
The UK government is facing criticism over its lack of transparency regarding the use of artificial intelligence to assess welfare claims. The Department for Work and Pensions has increasingly deployed machine learning algorithms to detect fraud in Universal Credit applications. However, freedom of information requests about the systems have been refused, with officials citing national security and high costs.
Campaigners argue the public deserves to understand these opaque and potentially biased systems affecting vulnerable citizens. Without transparency, AI tools assessing welfare claims could negatively impact those in poverty if benefits are wrongfully suspended. The DWP maintains secrecy is necessary to prevent fraud. But its culture of opacity, set against citizens' right to know how decisions are made about them, highlights more mounting tensions between AI and accountability.
These forums will build on the longstanding work of our Committees by supercharging the Senate’s typical process so we can stay ahead of AI’s rapid development. This is not going to be easy, it will be one of the most difficult things we undertake. But in the twenty-first century we cannot behave like ostriches in the sand when it comes to AI. We must treat AI with the same level of seriousness as national security, job creation, and our civil liberties.