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Meta Bids Farewell To DEI: A Pivotal Shift Amid Changing Cultural Winds

Meta has announced it will dismantle its diversity, equity, and inclusion (DEI) initiatives, marking a significant retreat from these programs under increasing scrutiny from conservative critics and public pushback.

In a memo sent to employees worldwide, Janelle Gale, Meta’s vice president of human resources, revealed the company’s plans to dissolve its DEI team, discontinue equity-driven hiring and supplier diversity programs, and reorient its approach to workplace inclusion. CNN obtained the memo, the contents of which were later confirmed by a Meta spokesperson.

“The legal and policy environment around DEI initiatives in the U.S. is evolving,” Gale wrote. “Recent Supreme Court rulings signal a shift in how courts view these efforts, reinforcing principles that discrimination based on inherent traits must neither be tolerated nor encouraged.”

The memo also acknowledged that the term “DEI” has grown increasingly polarizing, with some critics equating it to preferential treatment for certain groups.

As part of this shift, Maxine Williams, Meta’s chief diversity officer, will transition to a new role centred on “accessibility and engagement.” The company is also scrapping its requirement for managers to source candidates from underrepresented groups and discontinuing initiatives to hire minority-owned vendors and suppliers.

“We’re committed to building exceptional teams by attracting the most talented individuals,” Gale explained. “That means considering diverse candidate pools without basing hiring decisions on protected characteristics such as race or gender.” Instead, the company plans to adopt programs that prioritise unbiased and equitable practices for all employees, regardless of background.

A Broader Strategic Repositioning

Meta’s decision to dismantle DEI programs coincides with other controversial shifts at the company that some interpret as aligning with right-leaning ideologies. Earlier this week, Meta announced the end of its third-party fact-checking operations in the U.S. and changes to its policies on hateful content, enabling users to post previously restricted material.

The timing of these moves raised eyebrows as Meta CEO Mark Zuckerberg recently met with President-elect Donald Trump at Mar-a-Lago. While Meta declined to comment on the meeting, Zuckerberg elaborated on his evolving perspective during an appearance on The Joe Rogan Experience.

Zuckerberg reflected on Meta’s trajectory, explaining how his views on free speech have transformed over the past decade. “The essence of social media is empowering people to share what they want,” he stated. “Our mission has always been to connect the world through open expression.”

However, he admitted that external pressures—ranging from the fallout of Donald Trump’s 2016 election victory to demands from the Biden administration during the pandemic—have shaped Meta’s policies.

“In the aftermath of 2016, I think we gave too much weight to voices in the media claiming misinformation was the only reason Trump won,” Zuckerberg said. “That perspective led us down a path where content moderation eroded trust in the platform.”

He also alleged that Meta faced intense pressure from the Biden administration to suppress content it deemed as misinformation during the pandemic, including memes questioning vaccine safety.

Navigating A Shifting Landscape

Meta’s move to step away from DEI reflects a broader cultural reckoning within corporate America, as companies grapple with polarising views on diversity and free speech. Whether this approach will help rebuild trust in the platform or spark further criticism remains to be seen. For now, Meta appears determined to redefine its role in shaping workplace culture and the digital public square.

Moonshot’s Kimi K2: A Disruptive, Open-Source AI Model Redefining Coding Efficiency

Innovative Approach to Open-Source AI

In a bold move that challenges established players like OpenAI and Anthropic, Alibaba-backed startup Moonshot has unveiled its latest generative artificial intelligence model, Kimi K2. Released on a late Friday evening, this model enters the competitive AI landscape with a focus on robust coding capabilities at a fraction of the cost, setting a new benchmark for efficiency and scalability.

Cost Efficiency and Market Disruption

Kimi K2 not only offers superior performance metrics — reportedly surpassing Anthropic’s Claude Opus 4 and OpenAI’s GPT-4.1 in coding tasks — but it also redefines pricing models in the industry. With fees as low as 15 cents per 1 million input tokens and $2.50 per 1 million output tokens, it stands in stark contrast to competitors who charge significantly more. This cost efficiency is expected to attract large-scale and budget-sensitive deployments, enhancing its appeal across diverse client segments.

Benchmarking Against Industry Leaders

Moonshot’s announcement on platforms such as GitHub and X emphasizes not only the competitive performance of Kimi K2 but also its commitment to the open-source model—rare among U.S. tech giants except for select initiatives by Meta and Google. Renowned analyst Wei Sun from Counterpoint highlighted its global competitiveness and open-source allure, noting that its lower token costs make it an attractive option for enterprises seeking both high performance and scalability.

Industry Implications and the Broader AI Landscape

The introduction of Kimi K2 comes at a time when Chinese alternatives in the global AI arena are garnering increased investor interest. With established players like ByteDance, Tencent, and Baidu continually innovating, Moonshot’s move underscores a significant shift in AI development—a focus on cost reduction paired with open accessibility. Moreover, as U.S. companies grapple with resource allocation and the safe deployment of open-source models, Kimi K2’s arrival signals a competitive pivot that may influence future industry standards.

Future Prospects Amidst Global AI Competition

While early feedback on Kimi K2 has been largely positive, with praise from industry insiders and tech startups alike, challenges such as model hallucinations remain a known issue in generative AI. However, the model’s robust coding capability and cost structure continue to drive industry optimism. As the market evolves, the competitive dynamics between new entrants like Moonshot and established giants like OpenAI, along with emerging competitors on both sides of the Pacific, promise to shape the future trajectory of AI innovation on a global scale.

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