Lifeboat Foundation

Four of ChargePoint’s EV charger models can now support Tesla’s North American Charging Standard (NACS) connector cables.

The Campbell, California-based EV infrastructure company posted on Twitter that NACS cables for its Express 250 DC fast charger are now available for EV charging site owners to order. The NACS cables can be retrofitted onto existing DC fast charger models because most ChargePoint stations offer modularity.

Tesla drivers can currently use ChargePoint DC fast chargers with readily available adapters, and Tesla also sells a CCS Combo 1 adapter.

Airship startup Flying Whales will use Honeywell’s most powerful generator for their electric engines.

Americans in 13 states will experience a rare total solar eclipse next month.

More than 7,000 years ago, people navigated the Mediterranean Sea using technologically sophisticated boats, according to a study published March 20, 2024, in the open-access journal PLOS ONE by Juan F. Gibaja of the Spanish National Research Council, Barcelona and colleagues.

Many of the most important civilizations in Europe originated on the shores of the Mediterranean Sea. During the Neolithic, communities clearly traveled and traded across the water, as evidenced by watercraft in the archaeological record and the presence of settlements on coasts and islands. In this study, Gibaja and colleagues provide new insights into the history of seafaring technology through analysis of canoes at the Neolithic lakeshore village of La Marmotta, near Rome, Italy.

Excavation at this site has recovered five canoes built from hollowed-out trees (dugout canoes) dating between 5,700 and 5,100 BC. Analysis of these boats reveals that they are built from four different types of wood, unusual among similar sites, and that they include advanced construction techniques such as transverse reinforcements.

CEO of OpenAI Sam Altman was speaking at Davos. Find out more here:

In the Davos session, ‘Technology in a Turbulent World’, OpenAI CEO Sam Altman explained where he sees AI heading. #wef24 #AI

TnT-LLM

Text Mining at Scale with Large Language Models.

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application.

Continue reading “TnT-LLM: Text Mining at Scale with Large Language Models” »

“I’m still working on being a good CEO,” Jensen Huang said in an interview at his alma mater, Stanford University.

Artificial general intelligence (AGI) — often referred to as “strong AI,” “full AI,” “human-level AI” or “general intelligent action” — represents a significant future leap in the field of artificial intelligence. Unlike narrow AI, which is tailored for specific tasks, such as detecting product flaws, summarizing the news, or building you a website, AGI will be able to perform a broad spectrum of cognitive tasks at or above human levels. Addressing the press this week at Nvidia’s annual GTC developer conference, CEO Jensen Huang appeared to be getting really bored of discussing the subject — not least because he finds himself misquoted a lot, he says.

The frequency of the question makes sense: The concept raises existential questions about humanity’s role in and control of a future where machines can outthink, outlearn and outperform humans in virtually every domain. The core of this concern lies in the unpredictability of AGI’s decision-making processes and objectives, which might not align with human values or priorities (a concept explored in-depth in science fiction since at least the 1940s). There’s concern that once AGI reaches a certain level of autonomy and capability, it might become impossible to contain or control, leading to scenarios where its actions cannot be predicted or reversed.

When sensationalist press asks for a timeframe, it is often baiting AI professionals into putting a timeline on the end of humanity — or at least the current status quo. Needless to say, AI CEOs aren’t always eager to tackle the subject.

Release shines a light on the Transformer architecture behind most LLMs.