can you handle this tongue running all over your favorite spots?

Cold Pistachio-Cilantro Sauce

Chilled Pistachio-Cilantro Herb Sauce with Citrus and Olive Oil

Ingredients:

1 cup fresh cilantro leaves (packed)

1/2 cup shelled pistachios (unsalted, preferably roasted)

1 garlic clove

2 tbsp lemon juice or lime juice

1/4 cup olive oil

2–3 tbsp cold water (to adjust consistency)

Salt and black pepper, to taste

Optional: 1 green chili (for heat), 1 tsp honey or maple syrup (for sweetness)

Directions:

In a food processor or blender, combine the cilantro, pistachios, garlic, and lemon juice. Pulse until coarsely blended.

With the motor running, slowly drizzle in the olive oil until the mixture becomes smooth.

Add cold water, 1 tablespoon at a time, until the sauce reaches your desired consistency.

Season with salt and pepper to taste. Add optional chili or honey if using, and blend again briefly.

Serve immediately or refrigerate for up to 3 days. Best served chilled over grilled meats, roasted vegetables, grain bowls, or as a dip.

Prep Time: 10 minutes | Cooking Time: 0 minutes | Total Time: 10 minutes
Kcal: 140 kcal (per 2 tbsp) | Servings: About 6 servings

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This Cold Pistachio-Cilantro Sauce is a flavor bomb Creamy, herby, nutty — and ready in 10 minutes!

ChatGPT—one of the world’s most advanced AI language models—was soundly defeated in a game of chess by a 1977 Atari console.

The match was organized by Citrix engineer Robert Caruso, who pitted ChatGPT against the Atari 2600 running the vintage "Video Chess" game from 1979.

While the Atari’s computing capabilities are extremely limited (featuring a CPU running at just 1 MHz), it managed to outperform ChatGPT in this tightly constrained scenario.

The loss wasn't due to a lack of intelligence on ChatGPT’s part, but rather because of the fundamental way it operates.

ChatGPT doesn’t understand chess like a human or even a traditional chess engine—it processes moves based on language prediction rather than calculating best moves from a board state.

Without access to a visual interface or internal board memory, it repeatedly made errors: illegal moves, lost track of positions, and misunderstood the board layout.

Eventually, after about 90 minutes of play, ChatGPT had to concede the game.

This lighthearted match offers a deeper lesson about artificial intelligence.

While ChatGPT excels at language tasks and general reasoning, it struggles with tasks that require strict rule enforcement and memory continuity—things that even a rudimentary 1970s chess program can handle well.

The experiment showcases the limits of current large language models and emphasizes the value of narrow, specialized systems for rule-based challenges. It’s a humbling but important reminder that "smarter" doesn’t always mean "better" in every context.

Sorry guys I left my toaster running

India is going electric—in space.
ISRO has just completed a 1,000-hour test of its 300mN Stationary Plasma Thruster, running at full power with xenon gas. The result? A propulsion system that's 6× more efficient than traditional chemical rockets.

This marks a major leap toward lighter, longer-lasting, and smarter satellites—all leading up to ISRO’s TDS-01 electric mission. With plasma power, India’s next-gen space missions just got a serious upgrade.

The future of flight isn’t fire… it’s plasma.

Here’s what this means for global space tech:


#ISRO #PlasmaThruster #ElectricPropulsion #SpaceInnovation #IndiaInSpace #FutureOfSatellites #MechanicTimes