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The author shares their predictions for the direction of AI agent work in the second half of 2025, discussing emerging trends and potential developments.
A mid-2026 checkup on predictions for AGI, ASI, and Singularity timelines, with the author projecting AGI by 2028, ASI by 2030, and Singularity by 2032.
Fox's acquisition of Roku is expected to bring major changes, including making The Roku Channel exclusive to Roku devices and abandoning IoT products like lightbulbs in favor of sports content.
A Twitter thread forecasts that Google will dominate AI on phones, Anthropic will be acquired by Amazon, and OpenAI will go bankrupt, citing OpenAI's $38.53 billion losses.
Cursor AI launches a new interview series with developers, starting with a conversation with the Baseten team about their use of coding agents, current workflows, and future predictions.
A prediction that robot unboxing scenes will become common in homes sooner than expected.
An analysis of the expected state of AI in 2026, covering key trends and developments.
A prediction that GPT 5.6 will focus on autonomy features like longer tasks, better computer use, and stronger agents rather than just smarter answers.
Dan Shipper predicted the rise of Claude Code a year ago and it came true. Now he returns with 12 new predictions that counter mainstream narratives, discussing job restructuring rather than mass unemployment.
Dan Shipper argues that automation always requires human oversight and reflects on his accurate AI predictions, including the overlooked potential of Claude Code.
A 30-day deep dive into the AI agent ecosystem reveals that most so-called startups are just prompt chains or API wrappers, while open-source tools enable solo developers to rival venture-backed companies. The next winners will focus on memory, reliability, and execution, leading to the rise of autonomous workflows and 'AI employees' within 18 months.
Dan Shipper argues that the AI 'jobpocalypse' is not real, as AI commoditizes past human competence rather than causing mass unemployment. Lenny Rachitsky highlights Shipper's accurate past predictions, including the underappreciated rise of Claude Code.
Kevin Naughton Jr. shares his prediction for the top 10 companies hiring software engineers around 2030.
Anthropic co-founder Jack Clark predicts AI will contribute to a Nobel Prize-winning discovery within a year, bipedal robots will perform useful work in two years, and recursive self-improvement (RSI) will occur by end of 2028, based on a lecture at Oxford University.
A Substack post reflects on the 1964 'Cybernation Revolution' memo, which wrongly predicted mass unemployment from automation, and draws parallels to current AI fears, noting that today's AI advances may indeed be different.
GBrain v0.36.1 adds full evals inspired by a hackathon team's Hindsight concept for tracking predictions over time.
Matt Shumer argues that even the most optimistic AI observers are underestimating the future market size for inference.
A prediction that by end of 2026, AI agent billing will mirror AWS-style infrastructure pricing with variable rates, real-time tracking, and API-driven changes, arguing that flat subscriptions are unsustainable due to cost variance and customer sophistication.
Anjney Midha shares a speculative timeline for AI progress, from ChatGPT's consumer success in 2022 to advanced manufacturing and materials 2.0 by 2029, driven by a Cambrian explosion of R&D.
A Reddit poll asks whether users feel more or less optimistic about achieving AGI by 2026 (or 2030) compared to after ChatGPT's 2022 launch, referencing Wikipedia's definition of AGI.