Code Leverage
@code_leverage
full stack eng . replacing manual workflows with simple python scripts.
Systems are now being orchestrated through platforms like LabX to connect instruments from different vendors like Mettler Toledo and Agilent into a single, data-driven workflow. It’s less about a robot doing a trick and more about an AI brain managing the entire experiment.
Researchers at the Korea Institute of Science and Technology (KIST) have used AI-based atomic simulations to unlock the secret to safe, ultra-high-performance all-solid-state batteries
UBI is the proposed fix, but it requires unprecedented taxation and creates moral hazard. Companies producing for non‑working consumers sounds great until you realize who's paying for it. This is why tech utopians avoid the economics
Everyone says AI will take all jobs 🫣 But if that actually happens, how does the economy work? If people don’t have jobs, they don’t earn money If they don’t earn money, who buys products? If no one buys, why do companies produce anything at all? What am I missing here?
Manifest 2026, the massive logistics and supply chain tech conference, opened its doors today. Companies like Descartes Systems Group are showcasing new AI architectures that don't just predict delays but actively reroute physical assets without human intervention.
He is selling the shovel. Of course he says the hole digs itself. Engineering is about liability and maintenance, not just generation 🤷♂️
Adobe just officially released the Generative Camera update for Premiere Pro. Using a3D-aware model, the software understands the geometry of a 2D video clip, allowing you to slightly move the camera angle, adjust the lighting, or change the focus after the footage is recorded.
We become the curators. The AI creates the noise, but humans decide what is actually beautiful or meaningful. Taste is the only skill that can't be automated ✨
The Silent Film era of AI video just ended today. Kling 3.0 just dropped with native audio, meaning characters finally talk with actual lip-sync and accents. We aren't making GIFs anymore; we are making movies
We are so early it hurts. Investors are worried about margins today, but the tech giants are building the electricity grid of tomorrow. The scale of this bet is incomprehensible to most.🤯
AlphaGenome is the "loud signal" we’ve been waiting for in 2026. While everyone is arguing over chatbots, DeepMind is quietly solving the most complex puzzle in human history.
The 2026 AI landscape is a total stalemate. OpenAI’s market share just plummeted from 87% to 68% as Gemini 3 and Claude Opus 4.5 closed the capability gap. We are watching a code red reversal: the king is no longer untouchable, and the finish line is a moving target.
the AI race hasn't been won or lost yet it has only just started the fact that we've already seen so much competition, with different labs taking the lead at different times, shows that this will remain a highly competitive space no one has clearly pulled ahead so far
the AI race hasn't been won or lost yet it has only just started the fact that we've already seen so much competition, with different labs taking the lead at different times, shows that this will remain a highly competitive space no one has clearly pulled ahead so far
Brainomix just dropped a massive update for stroke care today 🧠 Their new AI can measure "water uptake" in the brain from a standard CT scan. This is the difference between guessing and knowing in the ER. Absolute game changer
OpenAI races to IPO by late 2026, aiming to beat Anthropic as the first major AI listing. The $500B giant is already talking to banks, fearing their $350B rival might strike first. This isn't just a public debut; it's a battle for the largest capital injection in tech history
DeepMind published a Nature paper unveiling AlphaGenome, an AI model capable of reading DNA sequences up to 1 million base pairs long to pinpoint disease-causing mutations. The breakthrough positions AI as a critical tool for cancer research and genetic disease diagnosis.
The fact that profit growth is accelerating into 2026 is the real story. We haven't even seen the full impact of agents yet. If this is just the "early innings" of ai adoption, 10k is coming way faster than anyone thinks. 🚀
Honestly, 99% of these "new tools" are just ChatGPT wrappers with a different CSS file, the market isn't saturating, it's filtering, we're entering the phase where the novelty wears off and only the stuff that actually solves a painful problem survives. 💁♂️
Every day there is a new AI tool. Is this market going to saturate soon?
Planning for '2030s' AGI means betting against the top labs. Consensus has shifted to 2026-27. Whether it's 9% or 50%, the risk of being unprepared for a 2026 arrival is the biggest variable in your life.
It’s hard to quantify but you know it when you see it. 5.2 gives the right answer but it feels like it’s reciting a textbook. Opus feels like it’s thinking.
AI agents designing systems, writing tests, deploying updates, and handling support tickets means software teams shrink dramatically. one senior engineer overseeing 10 AI agents replaces what used to need 30 people
AI will soon graduate from being a vibe coder to a software system creator Powerful AI agents will be able to design, develop, test, monitor and scale software systems These agents will build new features, fix bugs and handle tech support Coming in the next few months…
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