The @MonkeyHoodNFT crew set sail across the open seas and uncovered the ultimate treasure. Forget silver and gold, the real prize inside the pirate chest is the legendary @NevaFckngTrade golden cassettes. With the monkey hoisting the tape high under the sails, this crew knows you never trade the sacred loot. My official crossover artwork for MonkeyHoodNFT x NevaFckngTrade The Hood found the Cassette🐒

Bringing two iconic NFT collections together into one unified artwork. I merged the dark atmosphere of Pixel Hood with the NeverFckngTrade ethos: deep in the catacombs, the boss sits wired to the console protecting the golden cartridge, while the Minis proudly carry the creed at the front. Here is my official crossover entry for @Pixelord and @NevaFckngTrade

Cronos deleted about 11,000 blocks to unwind the Tectonic hack. that erased two hours of everyone else's transactions too. the $6.29m the attacker already bridged to Ethereum was out of reach and stayed his. the undo button caught everyone but him https://t.co/7669UKoWgk

Hey @commonsmade, slash @commonsmade 💀 Gotta respect the hustle They managed to buy the entire crypto twitter attention span and get everyone to spam "vouch" for weeks straight And the grand reward? Exactly $21.65 Absolute genius marketing. Buying the reach of Web3's smartest minds for the price of a burger 🍔

.@copenzafan is showing us how AI desktop orchestration should actually look. A clean Electron app that puts agents on an infinite canvas with YOLO mode and GitHub plugin support. It is completely open source and built with the community. Exactly what the agentic ecosystem needs right now. Go support his build!👇

Stop connecting new calculators to your agents if you haven't solved the core underlying issue. Most analytical systems produce incorrect results not because of poor arithmetic capabilities. They take the right formula, but apply it to the wrong row or an outdated financial report. In the @SentientAGI community, developer @abraxasnz13 implemented a strict architectural rule. The agent is required to verify the exact provenance of every variable and confirm context freshness before calling any math functions. I have always argued that verifying data origin is far more critical than raw code execution speed. This method drastically eliminates hallucinations when processing complex corporate spreadsheets. The full video breakdown of this build is already live.

You cannot bypass task difficulty by optimizing benchmarks or over-complicating agent architectures. Many framework creators promise incredible accuracy through clever routing templates. But recent research proves that this is largely an illusion. Based on 13,000 agent runs in OfficeQA, scientists identified a heavy dependence on base model capabilities. Different scaffolding methods agree 88-93% of the time on whether the AI will pass a specific test. I view this conclusion as key for the entire open-source software industry. We must stop polishing wrappers and focus on the fundamental reasoning capabilities of the models. Data from @SentientAGI researchers @iamnamanvats and Deep Halder opens our eyes to the actual state of affairs.

first thing i check on a new video model is second 10. anyone can hold two seconds most drift right after: the rails bend, the face changes, the room grows a window that was never there native 1080p only helps if the thing on screen is still the same thing https://t.co/F7mBmrhep4

priced a ram upgrade for my build last week and closed the tab. if it stings on a machine that pays for itself, a phone upgrade is not getting approved by anyone. -17% yoy is 17 million people closing the same tab.

You no longer need to pay corporate premiums or lock yourself into the Claude API to run self-improving coding agents. The new EvoSkill v1.3.0 release from the @SentientAGI team redefines how we approach AI development. Now, the entire cycle of automated skill generation and mutation can be run using @FireworksAI_HQ. This means blazing fast execution speeds and a fraction of the cost for developers. I appreciate this push toward autonomy because the future belongs to open, modular systems instead of closed corporate clouds. Your agent can now evolve without rate limits and restrictions from proprietary API providers. The full breakdown of this release is already live by @AlphaSignalAI. The repository is open for testing on GitHub.