Sam Altman states that Open AI 'Has Been on the Wrong Side of History'

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Top story: OpenAI CEO Sam Altman has made a surprising admission about the company's stance on open-source AI, while industry experts weigh in on the impact of emerging players like DeepSeek.

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1. ❌ Sam Altman: OpenAI "Wrong" on Open Source

2. 🤖 How to Automate OKRs and Improve Goal Tracking with Tability?

3. ✨ DeepSeek's Rise Won't Curb GPU Demand

4. 🛠️ New Top AI Tools

5. 🔮 More in the AI’s World

🕒 Estimated Reading Time: 5 minutes

Sam Altman states that Open AI 'Has Been on the Wrong Side of History'

OpenAI's Altman Admits Open-Source Misstep as DeepSeek Shakes Up AI Landscape

What's happening?

OpenAI CEO Sam Altman has made a surprising admission about the company's stance on open-source AI, while industry experts weigh in on the impact of emerging players like DeepSeek. These developments signal potential shifts in the AI industry's approach to transparency and resource allocation.

🔍 Essential Details:

• Altman stated, "I personally think we have been on the wrong side of history here and need to figure out a different open-source strategy."

• He admitted that OpenAI's lead in the AI race has diminished, saying, "We will produce better models, but we will maintain less of a lead than we did in previous years."

• The CEO praised DeepSeek's R1 model as "very good," highlighting the growing competition from open-source alternatives.

• OpenAI is considering open-sourcing older models that are no longer cutting-edge, according to Chief Product Officer Kevin Weil.

• Altman noted that not everyone at OpenAI shares his view on open-sourcing, and it's not currently the company's highest priority.

🧐 Why It Matters:

This admission from one of AI's most prominent figures suggests a potential industry-wide shift towards greater transparency and collaboration. It could lead to accelerated innovation and democratization of AI technology, while also raising questions about intellectual property protection and competitive strategies in the AI sector.

Read more: Sam Altman’s Statement

How to Automate OKRs and Improve Goal Tracking with Tability?

Improving Goal Tracking with Tability

Key Features of Tability

✅ OKR Alignment & Strategy Mapping

• Keep all your strategic goals and projects in one place for visibility and alignment.

• Easily map projects and tasks to OKRs for better tracking.

✅ AI-Powered Goal-Setting & Feedback

• Use AI assistance to generate measurable OKRs from ideas.

• Get real-time AI feedback to refine objectives and key results.

✅ Automated Reminders & Weekly Check-ins

• No more nagging reminders—Tability automates goal tracking notifications.

• Ensures that teams update OKRs on time and stay aligned.

✅ Custom Dashboards & One-Click Reporting

• Generate instant OKR reports in presentation-ready format.

• Track goal progress visually with dashboards and charts.

✅ Seamless Integrations with Productivity Tools

• Connect with Jira, Asana, ClickUp, Linear, Slack, Google Sheets, and more.

• Sync data automatically to eliminate manual reporting.

— — — — — — —

Find detailed tutorial in our guide How to Automate OKRs and Improve Goal Tracking with Tability?

DeepSeek's Rise Won't Curb GPU Demand, Says Mistral Board Member

AI's Hunger for Computing Power Persists

Overview:

Despite efficiency gains from newcomers like DeepSeek, the AI industry's appetite for GPUs remains insatiable, according to Anjney Midha, Mistral board member and Andreessen Horowitz general partner.

🔍 Key Details:

• DeepSeek's R1 model offers industry-standard performance at lower costs, challenging established players like OpenAI and Meta.

• Despite efficiency improvements, Midha argues that companies will use these gains to increase output rather than reduce GPU usage.

• The open-source nature of models like DeepSeek's R1 and Mistral's offerings provides a competitive edge through community contributions.

• Mistral's approach allows it to compete with larger, better-funded rivals by leveraging volunteer technical support.

• Midha emphasizes the ongoing importance of significant investments in AI infrastructure, citing Mistral's billion-dollar funding and OpenAI's potential $40 billion raise

🤓 Why It's Important: 

This perspective highlights the continuing arms race in AI development, where efficiency gains are quickly reinvested into expanded capabilities. It suggests that the demand for advanced computing resources will remain high, driving further innovation in chip design and data center technologies. The persistence of GPU demand also underscores the economic and strategic importance of AI infrastructure in shaping the future of the technology industry.

Read more: Mistral Board Member’s View Point

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1. GoalFocus 

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Interesting Updates

• LinkedIn removes AI "coworkers" profiles, citing policy against fake accounts.

• Reid Hoffman's new book "Superagency" outlines how to harness AI for human empowerment.

• IBM reports $5B in AI-related bookings for Q4, showing 67% growth from previous quarter.

• Growing skepticism towards AI email assistants as users find automated rewrites lacking.

• Researchers explore potential for AI models to simulate and express emotions in text.

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