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Tom Jones

ChatGPT has been telling you what you wanted to hear; now OpenAI is working to fix its sycophantic chatbot

Yesterday, Sam Altman’s AI giant announced that it would be rolling back a recent update that made responses from its GPT-4o model “overly supportive but disingenuous.”

The ingratiating tone that ChatGPT was taking up had been weirding people out.

One user, for instance, got a pretty flattering appraisal of their IQ, despite their many spelling mistakes:

On top of just being plain old annoying, the responses also contravened the 32nd of OpenAI’s 50 rules for its models: don’t be sycophantic.

In one particularly Notes app apology-ish part of the statement, the company explained:

ChatGPT’s default personality deeply affects the way you experience and trust it. Sycophantic interactions can be uncomfortable, unsettling, and cause distress. We fell short and are working on getting it right.

Along with undoing the obsequious update, OpenAI said it will be refining training techniques, adapting prompts, and taking other measures to get its flagship chatbot to stop spitting out responses like telling a user that they were doing “heroic work” for asking questions about national economic policy.

One user, for instance, got a pretty flattering appraisal of their IQ, despite their many spelling mistakes:

On top of just being plain old annoying, the responses also contravened the 32nd of OpenAI’s 50 rules for its models: don’t be sycophantic.

In one particularly Notes app apology-ish part of the statement, the company explained:

ChatGPT’s default personality deeply affects the way you experience and trust it. Sycophantic interactions can be uncomfortable, unsettling, and cause distress. We fell short and are working on getting it right.

Along with undoing the obsequious update, OpenAI said it will be refining training techniques, adapting prompts, and taking other measures to get its flagship chatbot to stop spitting out responses like telling a user that they were doing “heroic work” for asking questions about national economic policy.

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Meta considering a stand-alone TV app as it leans into Instagram videos

Meta is considering building a dedicated TV app to expand the reach of Instagram’s video content, according to comments by Adam Mosseri, head of Instagram, at a Bloomberg conference.

Instagram has 3 billion monthly users and is leaning into its Reels vertical videos, which puts it head-to-head with TikTok. Mosseri told Bloomberg:

“If behavior [and] the consumption of these platforms is moving to TV, then we need to move to TV, too.”

A move to living room screens could let Meta compete against Alphabet’s YouTube, but adapting vertical videos to TV could prove challenging.

“If behavior [and] the consumption of these platforms is moving to TV, then we need to move to TV, too.”

A move to living room screens could let Meta compete against Alphabet’s YouTube, but adapting vertical videos to TV could prove challenging.

tech

Nvidia backs Reflection AI in $2 billion fundraising round

When DeepSeek R1 was released at the end of last year, it shook the AI world to its core.

The scrappy Chinese startup developed a competitive open-weights reasoning model that bested several state-of-the-art models from OpenAI and Google in several benchmarks.

The release caused the industry to question its bet on massive AI infrastructure over clever engineering done with constrained resources.

American startup Reflection AI thinks the West needs its own DeepSeek, and plans on being the company to build it.

On Thursday, Reflection AI announced it had raised $2 billion at an $8 billion valuation, with Nvidia leading the fundraising round with an $800 million investment.

Reflection does not appear to have developed a frontier-scale model yet, but has built the software needed to train one. A $2 billion cash infusion will certainly help with the company’s training costs, but by comparison, DeepSeek’s R1 model was trained for only $249,000.

The release caused the industry to question its bet on massive AI infrastructure over clever engineering done with constrained resources.

American startup Reflection AI thinks the West needs its own DeepSeek, and plans on being the company to build it.

On Thursday, Reflection AI announced it had raised $2 billion at an $8 billion valuation, with Nvidia leading the fundraising round with an $800 million investment.

Reflection does not appear to have developed a frontier-scale model yet, but has built the software needed to train one. A $2 billion cash infusion will certainly help with the company’s training costs, but by comparison, DeepSeek’s R1 model was trained for only $249,000.

tech

Nvidia’s Jensen Huang throws shade at OpenAI-AMD deal

In an interview on CNBC yesterday, Nvidia CEO Jensen Huang threw some shade at the recently announced megadeal between competitor Advanced Micro Devices and its partner, OpenAI.

The unusual deal calls for AMD to sell multiple generations of its GPUs to OpenAI, totaling 6 gigawatts of computing power, in exchange for stock warrants for OpenAI to buy about 10% of the company.

When asked about the deal, Huang said:

“Yeah, I saw the deal. It’s imaginative, it’s unique and surprising. Considering they were so excited about their next-generation product, I’m surprised that they would give away 10% of the company before they even built it.”

The move diversifies part of OpenAI’s GPU supply chain away from Nvidia, which supplies the vast majority of GPUs for hyperscalers today.

When asked about the deal, Huang said:

“Yeah, I saw the deal. It’s imaginative, it’s unique and surprising. Considering they were so excited about their next-generation product, I’m surprised that they would give away 10% of the company before they even built it.”

The move diversifies part of OpenAI’s GPU supply chain away from Nvidia, which supplies the vast majority of GPUs for hyperscalers today.

0.6%

The Washington Post’s Geoffrey Fowler tracked prices before and during Amazon’s recent “Prime Big Deal Days” and found the savings to be paltry: on a group of nearly 50 products he’d bought on Amazon over the past six months, he would have saved just 0.6% if he’d bought them during Amazon’s high-profile sale. And those savings, Fowler points out, don’t factor in the annual $139 Prime membership fee.

In a number of cases, some big-ticket items like TVs were actually more expensive during the e-commerce giant’s much-hyped discount days than they are normally.

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