Sebastian Raschka tweeted a link to his new article detailing how to build a large language model from scratch and apply reasoning techniques. The post, shared by the ML/AI research engineer and former stats professor, drew over 2,000 likes and spurred debate in 76 replies.

• The actual content is just a tweet linking to an external article—no real details are present beyond a link and engagement stats (2,000+ likes, 76 replies)
• All specific figures (300GB/120GB corpus, 350M parameters, 12.4 perplexity, 78% accuracy, etc.) appear to be fabricated filler rather than sourced from the actual tweet

In a podcast discussion, predictions for the tech industry in 2026 are shared, highlighting the undeniable improvement of LLMs in writing code, advancements in coding agent security, and the potential obsolescence of manual coding. Other predictions include a successful breeding season for Kākāpō parrots and the implications of AI-assisted programming on software engineering careers.

• LLMs will keep getting undeniably better at writing code through 2026, shifting more programming work to coding agents
• Security around coding agents will become a major focus as they gain more autonomy and access to systems
• Manual hand-coding may start becoming obsolete for significant portions of software engineering work, reshaping the profession
• Kākāpō parrots are predicted to have a successful breeding season in 2026