Observed Signal · Mar 7, 2023 · Technical Release · Source: Trending Topics · Impact: 4/5 · Sentiment: Neutral
Google's PaLM-E Robot AI Executes Complex Language Commands
Google Research, TU Berlin, and Robotics at Google published PaLM-E, a new embodied multimodal language model with 562 billion parameters. The model combines Google's PaLM language model (540 billion parameters) with ViT vision transformer (22 billion parameters). In a demonstration, a robot correctly executed the spoken command 'bring me the rice chips from the drawer.' PaLM-E also supports deriving text from images, visual question answering, image captioning, and sequential planning of robot manipulations. The publication marks Google's push to communicate AI progress more aggressively following the ChatGPT hype and Microsoft's OpenAI deal. Microsoft has integrated GPT-3 into Bing but had to restrict some AI responses after user criticism. Google is expected to integrate its Bard chatbot into its search engine. The research shows major advances in combining language understanding and computer vision for robotics.
Major technical release from Google Research unveiling PaLM-E, a 562B-parameter multimodal AI model, advancing robotics and vision-language understanding; highly relevant to the AI infrastructure underpinning the broader AdTech ecosystem.
Track Google Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Google Research and TU Berlin developed PaLM-E, an embodied multimodal language model with 562 billion parameters.
- PaLM-E combines Google's PaLM language model (540 billion parameters) with ViT vision transformer (22 billion parameters).
- A robot demonstrated the execution of the language command 'bring me the rice chips from the drawer.'
- PaLM-E can derive text from images and performs visual question answering and image captioning.
- Microsoft integrated GPT-3 into Bing, while Google is expected to integrate its Bard model into search.
Connected Companies & Entities
4 Entities mapped“In einer neuen Veröffentlichung von Google Research, der TU Berlin und der Abteilung Robotcs at Google wird gezeigt, wie ein Roboter in eine...”
“Nur zum Vergleich: GPT-3 von OpenAI, das ChatGPT laufen lässt, hat etwa 175 Milliarden Parameter....”
“Googles Mutter Alphabet hat unter dem ChatGPT-Hype und eigenen Kommunikationsfehlern dieses Jahr im Aktienkurs zeitweise ordentlich gelitten...”
“Mit dem OpenAI-Deal hat Microsoft es geschafft, sich im AI-Rennen ins Spiel zu bringen....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Fired OpenAI Researchers Dispute Misconduct Claims, Warn of Chilling Effect
Three OpenAI safety researchers, Jasmine Wang, Tomek Korbak, and Mikita Balesni, who were fired last week, have published an open letter denying allegations of mishandling sensitive information. They warn that their dismissal creates a chilling effect that stifles AI safety work and open dialogue within the company. The researchers say they acted in good faith and within company norms, and that the reasons for their firing are unclear. They urge OpenAI to uphold its commitments to third-party safety auditors and maintain a transparent culture. OpenAI responded with an internal memo denying retaliation and stating that employees are not terminated for raising concerns, but did not address specific policy violations or circumstances of the dismissal. The dispute highlights tensions between internal safety research and company communication policies at a time when OpenAI faces scrutiny over safety incidents.
Ben Affleck's AI Knowledge Goes Viral
Ben Affleck, the actor who sold his AI filmmaking startup to Netflix for a reported $587 million, has gone viral for demonstrating deep understanding of AI technology in recent interviews. He discussed machine learning, neural networks, and even admitted to writing Python scripts. Affleck detailed his journey from analog to digital film, his use of AI in visual effects, and his creation of a proprietary dataset for ethical AI filmmaking. He also visited OpenAI and used his celebrity status to access emerging tech. Affleck addressed AI's potential, expressing concerns about its effect on education and learned helplessness rather than existential threats. He used AI in his movie 'Animals' and emphasized the additive nature of AI in filmmaking.
AI Leaderboard Arena Raises $200M at $3.1B Valuation
Arena, the AI leaderboard platform that originated as a UC Berkeley research project, has raised a $200 million Series B round at a $3.1 billion valuation. The round was led by Lightspeed Venture Partners and Khosla Ventures, with participation from Salesforce Ventures, 01 Advisors, Dell Technologies Capital, Endeavor Catalyst, a16z, Felicis, and others. This follows the company's announcement in June that it reached $100 million in annualized run-rate revenue. Arena provides a crowdsourced platform where users rate AI model outputs, and it has introduced a commercial product called AI Evaluations to offer detailed performance analytics. The company has also added a new 'alignment' category to its leaderboard, ranking models on issues like unauthorized actions and deceptive completion. Arena's valuation has nearly doubled in about 10 months, from $1.7 billion post-money in January to $3.1 billion now.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.