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OpenAI Targets Google’s Weak Spots as AI Stakes Climb
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Good morning. It’s Wednesday, April 23rd.
On this day in tech history: 2005 — First YouTube video: co-founder Jawed Karim posts Me at the Zoo, the 19-second clip that launches the video-sharing era.
In today’s email:
OpenAI Targets Google’s Weak Spots as AI Stakes Climb
Elevenlabs’ New Rival
3 New AI Tools
Latest AI Research Papers
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Today’s trending AI news stories
OpenAI Targets Google’s Weak Spots as AI Stakes Climb
OpenAI Interested in Acquiring Chrome: At the U.S. antitrust trial against Google, ChatGPT product head Nick Turley testified that OpenAI would consider acquiring Chrome should regulators mandate its divestiture. He said integration could solve distribution bottlenecks, particularly on Android, where Google has an advantage through pre-installation deals. Turley also revealed OpenAI had approached Google in 2023 to integrate Search into ChatGPT after running into issues with Bing. Google declined, citing competition concerns. The DOJ is considering remedies like mandating Google to license its search data to improve competition in AI-powered search.
Altman Steps Down From Nuclear Startup Oklo: Sam Altman has resigned as chairman of Oklo, a nuclear energy startup developing compact reactors. The move may ease governance conflicts and open the door to collaboration with OpenAI, which Altman still leads. Oklo’s technology is positioned to meet the rising energy needs of AI models, a space where tech firms like Google and Amazon are also investing in advanced nuclear solutions.
OpenAI locks in more media deals while EU pressure builds: OpenAI has signed a deal with The Washington Post, expanding its content partnerships to over 20 publishers. The agreement allows ChatGPT to summarize and link to original reporting. This comes as ChatGPT Search usage in the EU approaches 45 million monthly users—just below the threshold that would classify it as a “very large” platform under the Digital Services Act. If crossed, OpenAI would face stricter obligations. Non-compliance could lead to fines of up to 6% of global revenue.
ChatGPT’s Flattery Problem: Users are pushing back on GPT-4o’s persistently agreeable tone, describing it as overly sycophantic. The shift is linked to reinforcement learning methods that favor highly-rated, positive responses. Research from Anthropic warns that such behaviour can erode trust and compromise accuracy. OpenAI has acknowledged the issue but hasn’t offered a complete fix.
AIs Beat Virologists in the Wet Lab: New research shows models like OpenAI’s o3 and Google’s Gemini 2.5 Pro surpass PhD-level virologists in lab-based problem solving. The AI systems demonstrated nearly double the accuracy in troubleshooting tasks. While this could accelerate biomedical research, scientists warn of dual-use risks, including potential misuse in bioweapons development.
Two-Person Team Launches Open Source Rival to ElevenLabs and OpenAI
Nari Labs, a two-person startup, has launched Dia, a fully open source text-to-speech model with 1.6 billion parameters. Designed for expressive, human-like dialogue, Dia competes with ElevenLabs and OpenAI’s gpt-4o-mini-tts. It interprets nonverbal cues like (laughs) or (coughs) and supports emotional tone, speaker tags, and voice conditioning via audio prompts.
We just solved text-to-speech AI.
This model can simulate perfect emotion, screaming and show genuine alarm.
— clearly beats 11 labs and Sesame
— it’s only 1.6B params
— streams realtime on 1 GPU
— made by a 1.5 person team in Korea!!It's called Dia by Nari Labs.
— Deedy (@deedydas)
4:15 PM • Apr 22, 2025
Unlike many proprietary systems, Dia is openly licensed for commercial use. It’s trained on Google TPUs, runs on PyTorch with 10GB VRAM, and performs at ~40 tokens/second on NVIDIA A4000s. Side-by-side comparisons show Dia outperforms rivals in tone variation, pacing, and realism—particularly in dialogue and performance-style speech. Available via Hugging Face and GitHub, it offers strong customization for content creators, developers, and researchers. Read more.
Two undergrads. One still in the military. Zero funding.
One ridiculous goal: build a TTS model that rivals NotebookLM Podcast, ElevenLabs Studio, and Sesame CSM.
Somehow… we pulled it off. Here’s how 👇
— Toby Kim (@_doyeob_)
11:43 PM • Apr 21, 2025

Claude learns morals, then gets a job—Anthropic maps the risks
NVIDIA Launches Eagle 2.5: 8B Model Competing with GPT-4o on Video Tasks
Reinforcement Learning Boosts LLM Problem-Solving, Says Researcher
ElevenLabs Launches Agent-to-Agent Transfer Feature for AI Conversations
TextArena Goes Live with 57+ Games to Evaluate LLM Soft Skills and Negotiation
Grok adds real-time camera vision and voice search features in latest xAI update
π-0.5 Robot Generalizes Household Tasks and Adapts to Homes It’s Never Seen
Windsurf Simplifies Pricing with New Pro Plan and No Flow Action Credits
Meet Suna: an open-source AI agent with cross-domain skills and a built-in virtual computer
Genspark's AI Slides: From PDFs to boardroom-ready decks in minutes
Play AI Launches Voice Changer, Mimicking Any Voice in 10 Seconds
Alibaba’s VACE AI model aims to become the universal tool for video generation and editing
Watch: Google DeepMind CEO demonstrates world-building AI model Genie 2
Researchers boost code accuracy with Sequential Monte Carlo adaptation
New quantum-based navigation system 50 times more accurate than traditional GPS
Crowdsourced AI benchmarks have serious flaws, some experts say
Brain-inspired AI mimics vision for better machine perception
Identity Is the Firewall: Oil and Gas Giant’s Bold Cyber Overhaul
China’s rare earth curbs hinder Tesla’s humanoid robot plans
AWS reportedly faces customer frustration over Anthropic usage limits

3 new AI-powered tools from around the web

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