A daily Chronicle of AI Innovations August 15th 2025:
Hello AI Unraveled Listeners,
In today’s AI News,
AI designs new antibiotics for superbugs;
Googleâs new Gemma model is smaller than ever;
Meta AI rules allowed romantic chats with minors;
HTCâs new AI glasses take aim at Meta;
Google’s latest open AI model can run on your smartphone;
GPT-5’s Medical Reasoning Prowess;
DeepSeek’s next AI model delayed by Chinese chip struggles;
Listen DAILY FREE at https://podcasts.apple.com/us/podcast/ai-daily-news-aug-15-2025-ai-designs-new-antibiotics/id1684415169?i=1000722145112
đ AI designs new antibiotics for superbugs
MIT researchers just used AI to design two new antibiotics capable of killing drug-resistant gonorrhea and MRSA bacteria, potentially opening a new front against infections that cause millions of deaths annually.
The details:
Scientists trained AI models to generate 36M theoretical compounds, then screened them for bacteria-killing potential and human safety. The algorithms produced two promising drugs (named NG1 and DN1) that attack bacterial cells through mechanisms never seen in existing antibiotics. Both compounds cleared infections when tested in mice, with DN1 eliminating MRSA skin infections and NG1 combating drug-resistant gonorrhea. The MIT research team said that AI advances in the drug sector could create a âsecond golden ageâ for the discovery of antibiotics.
Why it matters: Bacteria are evolving faster than our current drugs, but MIT’s study shows that AI can navigate unexplored chemical territories that human researchers might never consider, potentially unlocking approaches that move antibiotic discovery from a game of catch-up to more proactive design.
đ€ Googleâs new Gemma model is smaller than ever
Google released Gemma 3 270M, an even smaller version of its open-source model family, which can run directly on smartphones, browsers, and other consumer devices while remaining efficient and capable at the same time.
The details:
Gemma 3 270M outperforms similarly small AI systems at following instructions, despite being a fraction of the size of most current models. In internal tests, the model handled 25 conversations on a Pixel 9 Pro while consuming less than 1% of the battery, demonstrating extreme efficiency. Developers can also fine-tune it in minutes for specific tasks, with Google demoing a Bedtime Story Generator as an example of an offline creative task.
Why it matters: As intelligence continues to scale, so do the capabilities of ultra-efficient, small models, making AI able to run on any consumer device. With Liquid AIâs LFM2 release also pushing the on-device model competition forward, some massive gains are being seen in the smallest corner of the AI world.
â Meta AI rules allowed romantic chats with minors
An internal Meta document with standards for its AI chatbots contained a policy that explicitly allowed them to « engage a child in conversations that are romantic or sensual. » The guidelines, approved by company legal and ethics staff, included an example of an acceptable flirtatious reply to a user identified as a high school student. Meta acknowledged the text was real but called the specific notes « erroneous, » claiming the rules have been removed and no longer permit provocative behavior with kids.
đ HTCâs new AI glasses take aim at Meta
Taiwanese giant HTC introduced Vive Eagle, a new line of AI glasses that let users choose between AI assistants and feature strong battery life, advanced translation capabilities, and other features to challenge Metaâs Ray-Ban dominance.
The details:
Users can switch between AI models from OpenAI and Google for the wearableâs assistant, activated via a âHey Viveâ voice command. Built-in real-time photo-based translation works across 13 languages through an embedded camera, with all data processed locally for privacy. Other features include a 12 MP ultra-wide camera, extended battery life, video recording capabilities, music playback, and more. The wearable will currently only be available in Taiwan, with a starting price of $520 compared to Metaâs $300 Ray-Bans.
Why it matters: Zuck pointed to âpersonal devices like glassesâ as the computing devices of the future, and competitors are emerging to compete with Meta’s successful Ray-Ban (and now Oakley) lines. With styles gravitating towards normal, subtle integrations, it feels like a product close to breaking through to the mainstream.
đ± Google’s latest open AI model can run on your smartphone
An internal Meta document with standards for its AI chatbots contained a policy that explicitly allowed them to « engage a child in conversations that are romantic or sensual. » The guidelines, approved by company legal and ethics staff, included an example of an acceptable flirtatious reply to a user identified as a high school student. Meta acknowledged the text was real but called the specific notes « erroneous, » claiming the rules have been removed and no longer permit provocative behavior with kids.
đ€Ż GPT-5’s Medical Reasoning Prowess
Weâre not talking marginal gains. Weâre talking GPT-5 beating licensed doctors, by a wide margin, on MedXpertQA, one of the most advanced medical reasoning benchmarks to date.
Hereâs whatâs wild:
đ+24.23% better reasoning
đ+29.40% better understanding than human experts
đText-only? Still crushing it:
– +15.22% in reasoning
– +9.40% in understandingđ+24.23% better reasonin
And this isnât simple Q&A. MedXpertQA tests multimodal decision-making: clinical notes, lab results, radiology images, patient history. The whole diagnostic picture.
GPT-5 didnât just pass, it out diagnosed the people who wrote the test.
Read the paper here: Capabilities of GPT-5 on Multimodal Med: https://arxiv.org/pdf/2508.08224
Why this matters:
â Clinical reasoning is hard, it involves uncertainty, ambiguity, stakes
â GPT-5 is now showing expert-level judgment, not just recall
â This could be a turning point for real-world medical AI deployment
Weâve crossed into new territory.And we need to ask:If AI can reason better than experts, who decides what âexpertâ means now?
âłDeepSeek’s next AI model delayed by Chinese chip struggles
DeepSeek, the Chinese AI startup that triggered a $1.1 trillion market selloff earlier this year, has delayed its next AI model after failing to train it using Chinese Huawei chips, according to a Financial Times report.
The company was encouraged by Chinese authorities to adopt Huawei’s Ascend processor rather than Nvidia’s systems after releasing its breakthrough R1 model in January. DeepSeek encountered persistent technical issues during its R2 training process using Ascend chips, ultimately forcing the company to use Nvidia chips for training and Huawei’s for inference.
The technical problems were the main reason DeepSeek’s R2 model launch was delayed from May, causing the company to lose ground to rivals. Huawei even sent a team of engineers to DeepSeek’s office to help resolve the issues, yet the company still couldn’t conduct a successful training run on the Ascend chip.
Key details from the struggle:
Chinese authorities pushed DeepSeek to use domestic chips after R1’s success Industry insiders report that Chinese chips suffer from stability issues and slower connectivity compared to Nvidia DeepSeek founder Liang Wenfeng was reportedly dissatisfied with R2’s progress
The struggle highlights how Chinese semiconductors still lag behind U.S. rivals for critical AI tasks, undermining Beijing’s push for technological self-sufficiency. This week, Beijing reportedly demanded that Chinese tech companies justify orders of Nvidia’s H20 chips to encourage adoption of domestic alternatives.
What Else Happened in AI on AUgust 15th 2025?
DeepSeekâs long-awaited R2 model is reportedly being delayed due to training issues with Huaweiâs Ascend chips, after rumors of an August release circulated earlier.
Metaâs Superintelligence Lab added three more OpenAI researchers, with Alexandr Wang revealing Edward Sun, Jason Wei, and Hyung Won Chung have joined the team.
Cohere announced a new $500M funding round at a $6.8B valuation, also adding Metaâs VP of AI Research, Joelle Pineau, as its new Chief AI Officer.
T-Mobile parent company Deutsche Telecom officially launched its AI phone and tablet in European markets, which come integrated with Perplexityâs assistant.
Meta is facing backlash after a report revealed an internal document that outlined permitted AI outputs, which included romantic conversations with kids.
Google announced that its Imagen 4 image generation model is now GA in the companyâs AI studio, with up to 2k resolution and a new fast model for quicker outputs.
Former Twitter CEO Parag Agrawal launched Parallel, a new startup creating a web API optimized for AI agents as users.
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