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Jay retweeted
late #ใƒญใ‚คใ‚ขใ‚คใฎๆ—ฅ post๐Ÿ˜‡ I stared at bunch of dance party references Did not help...
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Veteran actor Govind Namdev has distanced himself from the controversial film Kala Hiran, claiming he was unaware of its alleged references to Salman Khan. Expressing shock after watching the trailer, Namdev said he felt misled about the projectโ€™s actual narrative and reiterated his support for Salman Khan. #GovindNamdev #SalmanKhan #KalaHiran #Bollywood #EntertainmentNews #FilmControversy
Clem Fandango retweeted
Unexpected lesson from this whole thing: not only will the Scots tolerate Braveheart references, they embrace them. By the hundreds, and thousands!
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Zauri Xudievi retweeted
References to the work of many people in the essay, including: @gmiller @Moshe_Hoffman @mnvrsngh @page_eco @DavidPinsof @RandyNesse @rcbregman @TriversRobert @wstorr
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nothing hurts more than watching a book adaptation and not getting the references because I DIDNT READ THE BOOKKKK
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Mora. retweeted
โš ๏ธ MASS REPORT โš ๏ธ Report under: - Hateโ†’ Hateful References - Spam ๐Ÿ–‡๏ธ tinyurl.com/4pyfsz33 ๐Ÿ–‡๏ธ tinyurl.com/332kzksa โ›”๏ธ ๐˜ฟ๐™Š ๐™‰๐™Š๐™ ๐™€๐™‰๐™‚๐˜ผ๐™‚๐™€ / ๐™„๐™‰๐™๐™€๐™๐˜ผ๐˜พ๐™ โ›”๏ธ
๐Ÿšจ MASS REPORT๐Ÿšจ Please to participate everyone! Those accounts have been harassing and spreading hate towards ๐Ÿฅ€ through repeated mocking and negative posts. ๐ŸŒ help.twitter.com/en/forms/saโ€ฆ ๐Ÿ–‡๏ธ docs.google.com/document/d/1โ€ฆ
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==================== MAGNETIC / RESONANT WEIGHT UPDATE ==================== def magnetic_resonant_update( current_weights: np.ndarray, high_performing_phases: List[np.ndarray], resonance_scores: List[float], eta: float = RESONANCE_ETA ) -> np.ndarray: """ Magnetic / Resonant weight update rule. Successful high-performing patterns "pull" the current state toward alignment, similar to coupled oscillators or adiabatic quantum evolution. References: - Farhi, Goldstone, Gutmann: Quantum adiabatic evolution algorithms (Science 2001) - Coupled oscillator models in complex systems This allows successful strategies discovered by one part of the swarm to propagate smoothly across the toroidal knowledge lattice. """ if not high_performing_phases: return current_weights alignment = np.zeros_like(current_weights) for phase, res in zip(high_performing_phases, resonance_scores): # Phase alignment with strength modulated by resonance score diff = phase - current_weights alignment = res * diff new_weights = current_weights eta * alignment # Renormalize to prevent explosion norm = np.linalg.norm(new_weights) 1e-8 return new_weights / norm # ==================== MONTE CARLO SPECULATIVE TASK GENERATION ==================== def generate_speculative_tasks_from_gaps( gaps: List[Tuple[int, int]], torus_grid: np.ndarray, perf_surface: np.ndarray, num_samples: int = 100_000, top_k: int = 20 ) -> List[Dict[str, Any]]: """ Generate a large number of speculative tasks/hypotheses using Monte Carlo sampling over the toroidal lattice, focused on detected spectral gaps. This is the "ultimate agentic" mechanism: - Samples 100,000 possible directions/combinations from high-resonance gap regions - Creates diverse, high-potential speculative research tasks - Can be fed directly to the Planner for autonomous workload generation Uses Monte Carlo to explore the space efficiently (inspired by random walk quantum walk exploration principles). """ if not gaps: return [] size = torus_grid.shape[0] tasks = [] # Focus sampling on gap regions their high-performance neighbors focus_points = [] for gx, gy in gaps: focus_points.append((gx, gy)) focus_points.extend(get_toroidal_neighbors(gx, gy, size)) focus_points = list(set(focus_points)) # unique for _ in range(num_samples): # Sample a focus point fx, fy = focus_points[np.random.randint(len(focus_points))] # Monte Carlo perturbation around the focus dx = np.random.randint(-2, 3) dy = np.random.randint(-2, 3) sx = (fx dx) % size sy = (fy dy) % size # Combine vectors from sampled location a high-performing neighbor base_vec = torus_grid[sx, sy] high_perf_neighbor = max( get_toroidal_neighbors(sx, sy, size), key=lambda p: perf_surface[p[0], p[1]] ) high_vec = torus_grid[high_perf_neighbor[0], high_perf_neighbor[1]] # Create a "speculative hybrid" by interpolation noise alpha = np.random.uniform(0.3, 0.8) speculative_vec = alpha * base_vec (1 - alpha) * high_vec speculative_vec = np.random.normal(0, 0.05, speculative_vec.shape) speculative_vec /= (np.linalg.norm(speculative_vec) 1e-8) # Score the speculative direction resonance_score = float(perf_surface[sx, sy]) gap_proximity = 1.0 / (1.0 np.linalg.norm(torus_grid[sx, sy] - base_vec)) mc_score = resonance_score * 0.6 gap_proximity * 0.4 tasks.append({ "type": "speculative_hypothesis", "location": (sx, sy), "score": mc_score, "vector_hash":)โ€ฆ @grok
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Early adopters already include heavy hitters like Coinbase, Kraken, dYdX, and Nado. That tells you the demand is real and immediate. Whether youโ€™re trading perps, building tokenized RWAs, or running a prediction market you now have trustworthy on-chain references around the clock
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เฑจ๐•ธ๐ˆ๐™๐”๐Š๐ˆโ‚Š๐”ธ๐•Œ๐€๐œ๐š๐๐ž๐ฆ๐ฒ๐Ÿ“š retweeted
by ๅฐพๅคง็š„ๅ‹‡่€… Did own research (with some references). But not a professional, so might not be completely accurate. (Please don't correct anything.) #mizuki #overwatch
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CL-Gem retweeted
Helluva Boss references the dad from โ€˜CORALINEโ€™ meme in the newest short.
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we dont followup on any of the Liberty Falls outbreak fallout until Reckoning, and even then it's confined to an optional sidequest. Shattered Veil I think makes very few blanchard references but thats really the most we get pre-Reckoning. Just overall BO6s story was so poor.
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John.K โŒ retweeted
// Mscleanliness references (Finally because I feel bad whenever someone asks for one and I have NOTHINGG!)
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Argentangle retweeted
its so funny that the only jokes the comic makes anymore are just references to itself
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๐Ÿ‡ฎ๐Ÿ‡ณ Breaking from Colonial Legacy, Indian Army Embraces Indian Identity. ๐Ÿ“The Indian Army has unveiled a new dress policy aimed at phasing out several colonial era traditions and symbols. ๐Ÿ“Senior officers will wear Indian-style bandi jackets at official functions, replacing the traditional lounge suit. ๐Ÿ“Reviewing Officers will no longer carry ceremonial swords during parades and inspections. ๐Ÿ“The ceremonial sword presentation tradition at commissioning ceremonies is being discontinued. ๐Ÿ“The "Royal" designation and other British-era references are being gradually removed from military traditions and institutions. ๐Ÿ“Officers have been instructed to avoid unnecessary display of medals, badges and ceremonial accessories during routine functions. ๐Ÿ“Uniformity in dress standards has been introduced across commands to promote a modern and professional appearance. ๐Ÿ“Visible tattoos and body piercings have been restricted in line with the new policy. ๐Ÿ“The Army has prescribed guidelines for hairstyles, grooming and appearance to maintain uniform standards. ๐Ÿ“Colonial customs associated with dress and ceremonial practices are being phased out. ๐Ÿ“The reforms are part of the Army's broader effort to decolonise military traditions and strengthen a distinctly Indian identity. From bandi jackets to the end of ceremonial swords and royal tags, the Indian Army is turning the page on its colonial past and embracing its own traditions.
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Brother there is more evidence of Trump being a pedophile in the Epstein files than there is references to Jesus Christ in the fucking bible... You're just a pedophile who thinks that the only value a woman or girl can have is their ability to be raped by you.
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