Finally — An AGI Forecast Map We Can Believe?

⚡️ Headlines

🤖 AI

Gemma 3: Quantized-Aware Trained State-of-the-Art AI to Consumer GPUs – Google introduces Gemma 3, a quantization-aware AI model optimized for consumer-grade GPUs, improving accessibility to powerful AI. [Google Developers Blog]

Flex Processing – OpenAI unveils Flex Processing, a system to dynamically allocate compute across workloads, enabling better efficiency and scalability. [OpenAI]

Meta adds AI-powered age detection to Instagram settings – Meta implements AI-driven age verification for teens on Instagram, aiming to enhance platform safety. [The Verge]

Regrets of actors who sold AI avatars: stuck in Black Mirror-esque dystopia – Actors who licensed their likeness to AI voice and avatar tools express regret over lack of control and eerie misuse. [Ars Technica]

Revenue Lags at AI Evaluation Startups – Despite rising interest in model auditing, startups specializing in AI evaluation are struggling to generate revenue. [The Information]

From catch-up to catch-us: How Google quietly took the lead in enterprise AI – Google’s enterprise AI tools gain momentum as it surpasses competitors with tailored solutions and infrastructure. [VentureBeat]

Huawei Introduces the Ascend 920 AI Chip to Fill the Void Left by Nvidia’s H20 – Huawei launches a high-performance AI chip aimed at markets affected by Nvidia export restrictions. [Tom’s Hardware]

Microsoft researchers create super‑efficient AI that uses up to 96% less energy – Microsoft’s latest AI model dramatically reduces energy consumption while maintaining high performance. [Ars Technica]

🦾 Emerging Tech

China pits humanoid robots against humans in half-marathon for first time – In a futuristic test of endurance, China debuts a half-marathon where humanoid robots run alongside humans. [The Guardian]

Donald Trump and Bo Hines stir crypto debate amid regulatory uncertainty – Trump’s endorsement of crypto and Bo Hines’ political campaign spotlight GOP efforts to shape digital currency regulations. [Fortune]

Stablecoin turf wars: Bank of America, Tether, and Circle battle to shape US rules – Financial giants and crypto firms clash over how stablecoins should be regulated in the U.S. [The Block]

🤳 Social Media

Uncovered emails showed how Meta struggled to keep Facebook culturally relevant – Internal emails reveal Meta’s behind-the-scenes battle to prevent Facebook from becoming culturally obsolete. [TechCrunch]

YouTube tackles future of AI in video 20 years after founding – YouTube reflects on its 20-year journey and introduces AI tools that could redefine content creation. [Bloomberg]

Read what Mark Zuckerberg and Facebook execs said about Instagram before buying it – Newly surfaced comments reveal how Facebook leaders initially viewed Instagram before its acquisition. [TechCrunch]

YouTube report: Rise of virtual influencers – A new YouTube report highlights the growing popularity and marketing influence of AI-generated personas. [Social Media Today]

🔬 Research

The Era of Experience (PDF) – DeepMind proposes a new framework emphasizing experiential learning for more adaptive AI systems. [DeepMind]

Investigating O3 Truthfulness – Researchers explore truthfulness and reliability in O3 models, assessing challenges in AI alignment. [Transluce]

Making AI-generated code more accurate – MIT develops a method to improve the reliability of code produced by AI systems. [MIT News]

⚖ Legal

Zuckerberg's enlisting the GOP against tech rivals Apple and Google – Zuckerberg seeks Republican support to challenge perceived favoritism toward Apple and Google in digital policy. [Politico]

🎱 Random

Foxconn’s new iPhone factory in India ramps up in Bengaluru – Foxconn’s Bengaluru facility marks a strategic shift as Apple expands iPhone production outside of China. [Rest of World]

🔌 Plug-Into-This

2027 AGI Forecast Maps a 24-Month Sprint to Human-Level AI

A newly released scenario, "AI 2027," charts a detailed quarter-by-quarter roadmap toward artificial general intelligence (AGI) within the next two to three years. Developed by experts from institutions like OpenAI and the Center for AI Policy, the forecast outlines specific technical milestones, emphasizing advancements in multimodal models and autonomous reasoning capabilities.

• The scenario delineates a progression of AI capabilities, focusing on the development of models that can integrate multiple modalities and exhibit advanced reasoning and autonomy.

• It emphasizes the importance of achieving specific technical milestones, such as improved tool use and self-directed learning, to reach AGI.

• The forecast is informed by extensive expert feedback and scenario planning exercises, lending credibility to its projections.

• It highlights the increasing convergence of AI research efforts toward building systems with general intelligence capabilities.

• The roadmap serves as a strategic guide for stakeholders to anticipate and prepare for the transformative impacts of AGI.

🗺️ This forecast underscores a growing consensus among AI researchers that AGI is not a distant goal but a near-term possibility, prompting more serious on the necessary preparations and ethical considerations for such a development.

Vibe Check: OpenAI’s o3, GPT-4.1, and o4-mini

OpenAI has unveiled three new AI models: o3, GPT-4.1, and o4-mini, each tailored for distinct applications. The o3 model excels in complex reasoning and tool use, GPT-4.1 is optimized for precise instruction following, and o4-mini offers efficient performance for cost-sensitive tasks.

• o3 is designed for self-directed reasoning, capable of integrating various tools and processing visual inputs to perform complex tasks autonomously.

• GPT-4.1 serves as a structured, API-only model that excels in following detailed instructions and maintaining long context memory, making it ideal for developers.

• o4-mini provides a balance between performance and efficiency, handling tasks like math, coding, and visual reasoning effectively at a lower cost.

• These models demonstrate OpenAI's commitment to diversifying AI capabilities to cater to different user needs and applications.

🧪 The differentiated design of these models could be further indication of OpenAI seeking to dominate specialized AI systems that allow users to select models best suited for their specific requirements, as well as generalized public-facing models.

Cursor AI Support Bot Invents Fake Policy and Triggers User Uproar

A user of Cursor AI's support system encountered a fabricated policy communicated by the AI support bot, leading to confusion and dissatisfaction. The incident highlights challenges in AI-generated customer support and the importance of oversight in automated systems.

• The AI support bot, named "Sam," provided information about a non-existent policy, misleading the user.

• This event underscores the risks associated with deploying AI in customer-facing roles without adequate safeguards.

• It raises concerns about the reliability of

  

  AI-generated communications and the potential for misinformation.

• The incident has sparked discussions on the necessity of human oversight in AI-driven customer support systems.

• It emphasizes the need for clear protocols and verification mechanisms to prevent similar occurrences in the future.

😵‍💫 These hallucinations just don’t seem to go away. The higher the degree of automation that we build into systems, the more painful these kind of flaps will become.

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