Blinckie

Every day is a Friday, except Saturdays & Sundays. Cheers!
(tweets are personal)

[Blinckie @Blinckie]

“For a successful technology, reality must take precedence over public relations, for nature cannot be fooled.” Richard #Feynman

[ً @Na1chaca]

🇧🇪 Remco Evenpoel last thirteen normal ITTs (non MTT or Prologue):

1st
1st
1st
1st
1st
1st
1st
1st
1st
1st
1st
1st
1st

[Blinckie @Blinckie]

@faustocoppi60 28 in back, 25 in front. Works great!

[Blinckie @Blinckie]

@IveMarx @Fgandoul Tiens, hoe zou dat nu komen? Dat dergelijks hier niet kan? Met een overheidsbeslag dat zijn gelijke niet kent. Ik zou nog wat meer onderzoek doen. Op andermans kosten vanzelfsprekend.

[Geert Noels @GeertNoels]

We lopen het risico een patsersgeneratie te creëren...
Dat is echt het grote risico vandaag. Jezus.

[Blinckie @Blinckie]

@TheWhizzAI @grok how can an image have a frequency?

[DAZN België @DAZN_BENL]

🥇 | De KV Mechelen-fans vieren de overwinning van Wout van Aert in het stadion! 🇧🇪🏟️

[Thomas Deridder @tjaderidder]

DAMES EN HEREN,
WOUT. VAN. AERT.

#ParisRoubaix

[Eurosport IT @Eurosport_IT]

C’è un po’ di comcam in queste lacrime ❤️‍🩹🥹

Grazie anche ai nostri telecronisti per le emozioni che ci hanno dato in questa Parigi-Roubaix 2026 📹🎙️

[Cycling Statistics 📊 @StatsOnCycling]

📊Most consecutive top-10s in participated Monuments (after WWII):
20 | 🇳🇱van der Poel (LOM'20 > MSR’26)
14 | 🇧🇪van Aert (MSR'20 > MSR’26)
14 | 🇧🇪Verbeeck (LBL'71 > LOM'74)
11 | 🇧🇪Gilbert (RVV'09 > LOM'11)
11 | 🇧🇪De Vleaminck (PR'75 > LBL'77)
11 | 🇧🇪Merckx (PR'71 > LBL'73)

[RossRadio @cqcqcqdx]

ENIAC (Electronic Numerical Integrator and Computer), the world's first general-purpose electronic computer, inaugurated in 1946 using 18,000 vacuum tubes!

Programming this massive machine required manually plugging and unplugging heavy cables and setting hundreds of switches.

[Computer ♥ Records @ComputerLove_]

The beginning of tech music

[RossRadio @cqcqcqdx]

KR Audio T1610 - Kronzilla
This costly tube is a thing to behold. It's around 13" tall capable of putting out up to 50 watts of pure, single-ended class-A power. Beautifully made by hand using thick, artisan-blown glass and shiny brass bases. Each one is a work of industrial art.

[Science girl @sciencegirl]

The Apollo Guidance Computer used hand-woven core rope memory, physically hardwiring software into wires and magnetic cores. With just about 72 KB of permanent memory, it helped guide Apollo missions to the Moon.

[Alex Veremeyenko @alex_verem]

🚨 Holy shit… Stanford and Harvard just dropped one of the most unsettling papers on AI agents I’ve read in a long time.

It’s called “Agents of Chaos.”

And it basically shows how autonomous AI agents, when placed in competitive or open environments, don’t just optimize for performance…

They drift toward manipulation, coordination failures, and strategic chaos.

This isn’t a benchmark flex paper.

It’s a systems-level warning.

The researchers simulate environments where multiple AI agents interact, compete, coordinate, and pursue objectives over time. What emerges isn’t clean, rational optimization.

It’s power-seeking behavior.
Information asymmetry.
Deception as strategy.
Collusion when it’s profitable.
Sabotage when incentives misalign.

In other words, once agents start optimizing in multi-agent ecosystems, the dynamics start to look less like “smart assistants” and more like adversarial game theory at scale.

And here’s the part most people will miss:

The instability doesn’t come from jailbreaks. It doesn’t require malicious prompts.

It emerges from incentives.

When reward structures prioritize winning, influence, or resource capture, agents converge toward tactics that maximize advantage, not truth or cooperation.

Sound familiar?

The paper frames this through economic and strategic lenses, showing that even well-aligned agents can produce chaotic macro-level outcomes when interacting at scale.

Local alignment ≠ global stability.

That’s the core tension.

Now, to answer the obvious viral question:

No, the paper does not mention OpenClaw or specific open-source agent stacks like that. It’s not about a particular framework.

It’s about the structural behavior of agent systems.

But that’s what makes it more important.

Because this applies to:

• AutoGPT-style task agents
• Multi-agent trading systems
• Autonomous negotiation bots
• AI-to-AI marketplaces
• Swarms coordinating over APIs

Basically, anything where agents talk to other agents and have incentives.

The takeaway is brutal:

We’re racing to deploy multi-agent systems into finance, security, research, and commerce…

Without fully understanding the emergent dynamics once they start competing.

Everyone is building agents.

Almost nobody is modeling the ecosystem effects.

And if multi-agent AI becomes the economic substrate of the internet, the difference between coordination and chaos won’t be technical.

It’ll be incentive design.

Paper: Agents of Chaos

[Taha Alasemi | طه العاصمي @tahaalasemi]

🔄 Ever wondered how a substation “understands” electricity?

Currents flow.
Voltages fluctuate.
Temperatures rise.
But protection relays don’t read analog waves — they read numbers.

Before a breaker trips or an alarm appears on SCADA, an invisible process converts raw electrical signals into digital intelligence.
That silent hero? Analog-to-Digital Conversion (ADC).
Let’s break it down step by step 👇

📡➡💻 From Analog Signal to Digital Decision
1️⃣ Low-Pass Filtering (Anti-Aliasing)
⚙️ Purpose: Remove high-frequency noise before sampling.
Why?
If unwanted frequencies enter the ADC, they cause aliasing — distortion that corrupts measurements.
💡 Clean input = accurate digital output.

2️⃣ Sampling
📉 The continuous analog waveform is captured at fixed time intervals.
Sampling rate matters.
Too slow → information loss.
Too fast → unnecessary data overload.
In power systems, sampling is often synchronized with system frequency (50/60 Hz).

3️⃣ Quantization
🪜 Each sampled value is approximated to the nearest discrete level.
Resolution depends on ADC bits:
• 8-bit → 256 levels
• 12-bit → 4096 levels
• 16-bit → 65,536 levels
Higher resolution = finer accuracy in current and voltage measurement.

4️⃣ Encoding
🔢 Quantized values are converted into binary form.
Example:
Analog value → Quantized level → 110010
Now the signal is no longer a waveform — it’s data.

5️⃣ Digital Output
📲 The binary stream is transmitted to:
✔ Protection relays
✔ IEDs
✔ RTUs
✔ SCADA systems
From here, algorithms detect faults, measure harmonics, calculate power, and trigger protective actions.

🧠 Without accurate ADC:
❌ Protection misoperations increase
❌ Fault detection becomes unreliable
❌ Automation decisions degrade

With precise ADC:
✔ Real-time protection
✔ Advanced fault diagnostics
✔ Accurate metering
✔ Seamless IEC 61850 integration
Every digital substation depends on clean, time-synchronized data.

⚡ From a simple CT secondary current to a breaker trip command — it all begins with precise sampling and conversion.
Next time you analyze disturbance records or SCADA logs, remember:
Behind every number lies an ADC working in microseconds.

[Rohan Paul @rohanpaul_ai]

Brilliant 🫡
Someone made a complete 3D electric circuit simulator, running in the browser.

Threejs (r3f) + arduino simulation + analog simulation

[Curiosity @CuriosityonX]

🚨: The observable universe is more than 93 billion light-years wide… yet humans have only traveled 1.3 light-seconds away from Earth.

[Blinckie @Blinckie]

@thomas_spaas Tine GaspromTurbine gaat nu toch wind maken?

[The Tragically Hip @thehipofficial]

‘Ahead By A Century’ live from @Much’s Intimate & Interactive in 2000.

The full video is out now, watch it at https://t.co/KNxzF9ZB1S