Results

Nvidia and Corning announced a partnership where Corning will increase its US optical connectivity manufacturing capacity by 10x and expand fiber production by more than 50% to meet AI factory demand. Corning will also build three new manufacturing facilities. Nvidia will invest $500 million in Corning.

Corning said separately the it will build a new $10 billion revenue stream by 2030 focused on photonics for AI data centers.

Uber reported a mixed first quarter, but gross bookings were ahead of expectations. Uber One passed the 50 million member mark.

The company reported first quarter net income of $263 million, or 13 cents a share, on revenue of $13.2 billion. The net income figure was boosted by equity investments. Non-GAAP earnings were 72 cents a share. Revenue missed estimates and earnings were ahead.

Dara Khosrowshahi, CEO of Uber, said the company was investing with conviction on AI and AVs. The second quarter outlook was solid with gross bookings expected to be up 18% to 22%.

I'll follow up later since the most interesting things about Uber aren't the actual ride business. Uber wants to be a super app and is expanding into multiple new markets. Here's what gives me pause when it comes to Uber. The ride experience isn't great, the prices are high and Lyft is more economical in most of my comparisons.

Can Uber be an everything app when its core business has a crappy experience?

Teradata reported first quarter earnings of $335 million on revenue of $444 million, up 6% from a year ago, courtesy of a $480 million payment from SAP to settle a long-running lawsuit. After accounting for legal fees and litigation expenses, Teradata netted $359 million.

On a per-share basis, Teradata's first quarter earnings were $3.47 a share with non-GAAP earnings, which exclude the SAP payment, of 88 cents a share. CEO Steve McMillan said the company is on track and its context, governance and industry knowledge for enterprises is critical to deploy agentic AI.

As for the outlook, Teradata projected second quarter revenue growth of negative 2% to 4%. Non-GAAP earnings will be 53 cents a share to 57 cents a share.

The Center for AI Standards and Innovation (CAISI) evaluated the open-weight AI model DeepSeek V4 Pro and found it lags frontier models by about 8 months.

CAISI, a unit of NIST, has a full report, but the most notable comparison is cost. After all, a model that lags frontier models by 8 months may be just swell for most use cases.

"CAISI selected a U.S. reference model by filtering out U.S. models that performed significantly worse on public benchmarks or that cost significantly more per token than DeepSeek V4 Pro. The only model meeting these criteria was GPT-5.4 mini, which was selected as a point of reference. In CAISI’s aggregated capability analysis, GPT-5.4 mini receives an Elo score of 749, which is similar to DeepSeek V4 Pro’s score of 800.

DeepSeek V4 costs less than GPT-5.4 mini on 5 out of 7 CAISI benchmarks."

DeepSeek V4 Pro