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On Wednesday, Google unveiled the second generation of its Pathways Language Model (PaLM), called PaLM 2. The new large language model (LLM) will power the latest version of the company’s ChatGPT-rivalling artificial intelligence (AI) chatbot, Bard, and Google has claimed to have significantly improved the capabilities of its latest AI model over its predecessor. The list of upgrades to PaLM is similar to the changes that OpenAI announced with the release of its latest LLM, Generative Pre-trained Transformer (GPT)-4, but with a few key differences.

What is Google PaLM 2?

In a blog post announcing the rollout, Zoubin Ghahramani, vice-president at Google’s AI research division DeepMind, said that PaLM 2 is a “state-of-the-art language model with improved multilingual, reasoning and coding capabilities.”

Artificial intelligence could potentially replace 80% of jobs “in the next few years,” according to AI expert Ben Goertzel.

Goertzel, the founder and chief executive officer of SingularityNET, told France’s AFP news agency at a summit in Brazil last week that a future like that could come to fruition with the introduction of systems like OpenAI’s ChatGPT.

“I don’t think it’s a threat. I think it’s a benefit. People can find better things to do with their life than work for a living… Pretty much every job involving paperwork should be automatable,” he said.

A team at the Jet Propulsion Laboratory is testing EELS on various terrains.

And, imagine if every penny sank into this was available for AI research right now.

Meta sank tens of billions into its CEO’s virtual reality dream, but what will he do next?

Continue reading “A moment’s silence, please, for the death of the Metaverse” »

An algorithm that allows more precise forecasts of the positions and velocities of a beam’s distribution of particles as it passes through an accelerator has been developed by researchers with the Department of Energy (DOE) and the University of Chicago.

Traveling at nearly light speed, the linear accelerator at the DOE’s SLAC National Accelerator Laboratory fires bursts of close to one billion electrons through long metallic pipes to generate its particle beam. Located in Menlo Park, California, the facility, originally called the Stanford Linear Accelerator Center, has used its 3.2-kilometer accelerator since its construction in 1962 to propel electrons to energies as great as 50 gigaelectronvolts (GeV).

The powerful particle beam generated by SLAC’s linear accelerator is used in the study of everything from innovative materials to the behavior of molecules on the atomic scale, despite how the beam itself remains somewhat mysterious since researchers have a hard time gauging its appearance as it passes through an accelerator.

The team takes AI personalization to a whole new level.

Researchers at the School of Engineering at Princeton University have successfully deployed a large language model (LLM) to help a robotic manipulator make sense of instructions to tidy up a room.

Continue reading “Princeton researchers help a bot tidy up using large language model” »

David Risher also told CNN the company wants to make travel less stressful, and he doesn’t think Uber and Lyft need to destroy each other to succeed.

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Ever since the launch of ChatGPT in late 2022, AI has grabbed the attention of people and businesses around the world. This technology was previously understood as highly promising but a topic for the future. Today, it has loudly announced itself, catching businesses off-guard as they mobilize to make sense of its exciting potential to automate processes and supercharge efficiencies.

One important aspect to examine is where investors are currently focusing their attention. This latest wave of AI has focused early attention on those startups and businesses already using AI in their products and services (loosely termed AI adopters). Other factors to consider are whether investors are pausing their investments and causing illiquidity in the market. In this, investors consider likely consequences and disruptions across industries and update their commercial and technical due diligence approaches as they look to side-step hazards and seize opportunities.

AI threatens to shift even more power from workers to the wealthy, shrinking tax bases and weakening governments, writes economist Yingying Lu.